Best Proxies & Scrapers - Proxyway

The Best Scraping Browsers For Your Project

Isabel Rivera — Wed, 30 Apr 2025 09:15:09 +0000

The Best Scraping Browsers of 2025:

1. Bright Data – scraping browser for large-scale projects.

First deposit matched up to $500>

2. Zyte API – reliable scraper with flexible pricing.

Visit Zyte>

3. ZenRows – scraping browser with simple integration.

Visit ZenRows>

4. Scrapeless – developer-friendly scraping browser.

Visit Scrapeless>

5. Nodemaven – customizable scraping browser with live debugging.

Visit Nodemaven>

What Is a Scraping Browser?

A scraping browser is a web scraping tool that lets you control remote web browsers, outfitted with proxies and other block avoidance mechanisms.

They integrate with industry-standard headless browser libraries like Puppeteer and Playwright, which gives you full control: you can open web pages, wait for elements to load, scroll, click on buttons, fill in forms, and more.

This is extremely useful in cases where you need to scrape data that’s located in JavaScript-rendered elements or that requires multi-step workflows to extract. For example, if a website asks you to fill in a form before showing you the data, a scraping browser is the perfect tool for the job.

A great example of a scraping browser application would be scraping social media websites, such as Facebook or X (formerly Twitter).

Here’s why: the tool can click on buttons (such as cookie consent pop-up) to access the content, render and interact with screens, display various media types, and autoscroll infinitely. In addition to imitating user behavior, the tool also disguises itself by using proxies, handling cookies, and adjusting the browser fingerprint to appear like a regular user rather than a bot.

When to Use a Scraping Browser?

Scraping browsers are ideal for working with dynamic websites that require JavaScript rendering or complex user input. Here are some typical uses of a scraping browser:

Scraping content from social media or entertainment websites. Platforms like Facebook, Instagram, YouTube, or Netflix require JavaScript to render most of their elements.

Scraping flight or accommodation listings. If you’re looking to collect data from websites like Airbnb, Zillow, or Skyscanner, you can use a scraping browser to load the listings, and use dynamic filters, such as dates or locations.
Scraping job postings. Similarly to flight listings, job posting websites, such as Glassdoor, also use dynamic filtering and can have infinite scroll.
Scraping data from e-commerce websites. With some e-commerce stores, you’ll be required to add an item to your cart before you can see all the desired data (i.e., final price with a discount). A scraping browser can perform this interaction and collect the necessary data points.

In short, scraping browsers are great in cases where data is only accessible after interactions (clicking, scrolling), rendering, or when the website employs strong anti-bot measures.

Scraping Browser vs. Scraping API: The Key Differences

Web scraping APIs are another tool for extracting online data, just like scraping browsers. However, the way they work under the hood is quite different.

A scraping browser launches a real browser (usually headless) that loads the entire page and executes JavaScript to reveal all hidden elements, just like a human user would. This makes it effective for websites that use client-side rendering or user actions to reveal data.

A web scraping API, on the other hand, typically sends a direct HTTP request to the target URL and retrieves the server’s response without launching a browser at all. It parses the raw HTML returned by the server and skips rendering or interaction with any elements. This approach is fast and light on resources, but it can struggle when websites heavily rely on JavaScript or when a specific interaction is needed to trigger data visibility.

In short, scraping browsers simulate user interaction with a webpage through integration with a headless browser. This makes them highly customizable as you can script various different interactions. Though, while scraping APIs can fetch JavaScript content and interact with content, they’ll be more basic.

Can You Make Your Own Scraping Browser?

In short, yes, you can. While scraping browsers are more often associated with ready-made, third-party data collection tools, it’s possible to build your own custom scraping browser using open-source resources.

Using libraries like Puppeteer, Playwright, and Selenium lets you control headless browsers programmatically. This way, you can make your custom tool to load pages, execute JavaScript, interact with elements, and extract web data.

Easy Puppeteer Web Scraping Tutorial

This is a step-by-step guide to web scraping using the Node.js library Puppeteer.

Web Scraping with Selenium: An Ultimate Guide for Beginners

A step-by-step guide to web scraping with Selenium.

However, making your own scraping browser can be tricky if you have little to no experience with programming. And even if you do, you’ll have to maintain all the infrastructure and the scraper yourself.

Hence, many choose to rely on third-party tools because they’re better if you’re planning to scale, take care of anti-bot measures, and ongoing maintenance, which saves a significant amount of time and effort.

The Best Scraping Browsers of 2025

1. Bright Data

Scraping browser for large-scale projects.

9.3/10 ⭐

Add up to $500 to your account and get double the amount.

Pricing model: based on traffic
Pricing structure: PAYG; subscription
Support: 24/7 live chat, dedicated account manager
Free trial: 7-day free trial for companies available
Pricing: starts at $8.4 for 1 GB or $499 for 69 GB every month

Bright Data is a well-known scraping tool provider. Among other options, Bright Data also offers Scraping Browser – a cloud-based scraper that allows you to navigate websites via Puppeteer, Selenium, or Playwright libraries.

The tool takes care of typical website unlocking challenges, such as JavaScript rendering and browser fingerprinting. There’s also a CAPTCHA solver. In addition to that, Scraping Browser is integrated with Bright Data’s proxy infrastructure, so you can also easily access data on geo-restricted or protected websites.

Scraping Browser also has a playground – a real-time code editor – that allows experimentation, testing, and debugging. There are also pre-made script examples that you can try, too.

Bright Data offers flexible pricing – you can choose to pay as you go or commit to a monthly subscription. Nevertheless, it can be quite expensive for users with smaller needs since some features, such as premium domains, will cost you extra. Therefore, considering its technical aspects and price, Bright Data’s Scraping Browser is much more suited for large scale scraping projects.

For more information and performance tests, read our Bright Data review.

2. Zyte

Reliable scraper with flexible pricing.

8.8/10 ⭐

Pricing model: based on requests and selected features
Pricing structure: PAYG; subscription
Support: tickets, AI assistant for basic troubleshooting
Free trial: $5 platform credits available
Pricing: custom

Zyte has built a reputation for offering developer-friendly web scraping tools. Zyte API is a general-purpose scraper capable of extracting data from a wide range of websites, including those with JavaScript-based content.

One of Zyte’s standout features is its TypeScript API. You get access to a cloud-hosted VS Code environment, where you can write your own interaction scripts that allow simulating complex real user interactions, such as mouse movements and clicks, as well as keystrokes. Zyte also automatically selects geolocation to match your target website, simplifying the data extraction process for you.

The provider uses a flexible, usage-based pricing model, with dynamic rates based on website complexity and feature use. You can estimate your project’s cost on Zyte’s website. While it’s a relatively cheap option for simpler projects, essential features, like JavaScript rendering, will significantly increase the final cost.

For more information and performance tests, read our Zyte review.

3. ZenRows

Scraping browser with simple integration.

Pricing model: based on traffic and duration
Pricing structure: subscription
Support: live chat, account manager (for custom enterprise plan)
Free trial: 14 days with 100 MB traffic free trial available
Pricing: starts at $69 per month

ZenRows offers multiple scraping tools, one of them being Scraping Browser API. It integrates into your existing scraping setup via a simple API call using wss.

Scraping Browser simulates a real user session by emulating mouse and keyboard interactions. In addition, using Scraping Browser gives you access to ZenRows’ residential IP pool which makes the tool even more human-like. However, the service lacks more sophisticated CAPTCHA solving capabilities.

ZenRows uses a subscription-based pricing model, starting at $69 a month, but there’s also an additional $0.09 per hour charge for all scraping sessions that applies to the free 14 day trial with 100 MB traffic, too. The subscription not only gives you access to the Scraping Browser, but other tools on ZenRows’ platform (such as scraper APIs) too.

4. Scrapeless

Developer-friendly scraping browser.

Pricing model: based on duration
Pricing structure: subscription
Support: live chat, email (Mon-Fri, 9:00 AM – 18:00 PM; UTC+08:00), GitHub community
Free trial: available upon registration
Pricing: starts at $49 per month

Scrapeless provides a scraping browser that integrates via Puppeteer or Playwright, and is designed to automate data collection.

The provider’s Scraping Browser has a built-in dynamic content detection system that automatically adjusts scraping configurations as needed. However, the key feature of this tool is the CDP API. It can solve four types of CAPTCHA challenges (reCaptcha, Cloudflare Turnstile, Cloudflare 5s Challenge, and AWS WAF), as well as monitor the solving process. Scraping Browser can be configured to give you full control over CAPTCHA solver’s behavior.

Scrapeless’ pricing is on par with other providers on this list, though it has a different pricing model – rather than charging per traffic, it does so per hour. You also get access to the entire Scrapeless toolkit with the subscription.

5. Nodemaven

Customizable scraping browser with live debugging.

Pricing model: based on traffic
Pricing structure: PAYG, subscription
Support: 24/7 chat, email
Free trial: 500MB for $3.99
Pricing: free with any proxy plan

Nodemaven is better known as a proxy provider, but it also has a Scraping Browser that integrates via Puppeteer or Playwright.

Nodemaven’s Scraping Browser has great features for developers. The tool has an auto-scaling feature that dynamically scales browser instances based on demand, thus allowing for unlimited concurrent sessions without manual setup. In addition, Nodemaven places particular emphasis on customization in general – it offers more control over headers, cookies, and session behavior compared to other providers on the list. Scraping Browser also allows debugging and testing scripts via CDP in real time.

The service handles CAPTCHAs, IP rotation, and is designed to pair tightly with NodeMaven’s own residential and mobile proxy services – you can’t buy Scraping Browser separately, but you get access to the tool with any proxy plan.

Isabel Rivera

Caffeine-powered sneaker enthusiast

April 30, 2025

The post The Best Scraping Browsers For Your Project appeared first on Proxyway.

The Best Sales Datasets of 2025

Isabel Rivera — Tue, 15 Apr 2025 07:54:10 +0000

Best

Sales datasets offer a quick and simple way to access relevant sales data. If you’re looking to improve conversions, investigate competitors, or predict future trends using public web data, sales datasets are your best bet.

Sales data is crucial when investigating product or service performance, but collecting sales data from various e-commerce websites like Amazon either requires technical knowledge about web data collection or can be an overwhelming task when done by hand.

First, there are thousands of data points to consider. Information like sale amounts or prices can change quickly, so you’d need to keep updating it frequently. Secondly, raw data is hard to analyze, so you’d have to clean and structure it yourself, too. To solve this problem, various data providers offer sales datasets as a more approachable option.

Best Sales Datasets of 2025:

1. Bright Data – the largest variety of sales datasets.

Try Bright Data>

2. Oxylabs – premium customizable sales datasets.

Use the code proxyway35 to get 35% off>

3. Coresignal – well-rounded sales and company datasets.

Try Coresignal>

4. Infatica – sales data from various e-commerce sites.

Use the code proxyway2024 to get 20% off your first purchase>

5. Apify – pre-made templates for sales datasets.

Use code 30PROXYWAY to get 30% off>

What Is a Sales Dataset?

A sales dataset is a collection of structured information that captures sales-related information from online marketplaces. Sales datasets can have various data on service or goods sold. Here are a few examples of what you can expect in a sales dataset:

Transaction details – how many items a user buys during one session, what payment method do they use (i.e., credit card, buy now pay later, wire transfer).
Sales amounts – how many products were sold in general. Can describe the total amounts of individual products, such as black iPhone 14; or a group of products, such as all iPhone models sold by the retailer.
Product performance – how often is a product purchased, and if the demand is growing or decreasing.
Total revenue – how much money did the retailer make in total, from a group or products, or a single product.
Customer demographics – what are the characteristics of the people typically purchasing (i.e., age group, geographic location).

Businesses can use sales datasets to make data-driven decisions, improve sales strategy, predict potential trends, as well as get a better understanding of their customers.

What Makes a Good Sales Dataset?

Not all datasets are made equally, and a large number of data points does not ensure quality data. Here are some tips on what to look for in a sales dataset to get the best results:

The dataset should include all essential sales-related data. Look for datasets that have product details, customer demographic information, sale amounts, and more.

The dataset should be updated regularly. Datasets are snapshots of a specific point in time, but sales data changes frequently. If you’re looking to review historical data, frequent dataset refresh might not be as important. However, if trend prediction is your goal, choose a dataset that is updated as frequently as you need.

The dataset should be relevant to your topic of interest. Choose a dataset that reflects only the data you need. For example, if you’re forecasting product demand, look for a dataset that contains sale amounts and product availability.
The dataset should have a well-structured format. The information should be structured and have a defined schema. Additionally, look for providers that have various formats (i.e., CSV, JSON, SQL) for easier integration.

Alternatives to Sales Datasets

While sales datasets are invaluable for business analysts, they might not always be a great fit to you. Or you might want to collect sales data yourself, especially if you’re aiming to save money or have specific needs. There are a few ways to get sales data without using datasets.

First, you can use official APIs. Some websites, such as eBay, Shopify, and Amazon, have dedicated API gateways that allow you to access specific sales data. For example, you can access and collect transaction details, seller analytics, sale histories, and more with eBay API. However, this approach can be limited, whether we’re talking about API accessibility, its price, available data points, or volume.

Second, you can use a third-party web scraping APIs to extract relevant information directly from websites. They cover publicly available data from e-commerce sites, online marketplaces, and even price comparison sites. This approach offers more flexibility compared to official APIs, but often you’ll have to clean and structure the scraped data yourself.

The Best Sales Datasets of 2025

1. Bright Data

The largest variety of sales datasets.

9.3/10 ⭐

Data formats: JSON, ndJSON, CSV, XLSX

Pricing structure: based on record amount

Pricing model: one-time payment or subscription

Support: 24/7 via live chat, dedicated account manager
Pricing: starts at $500 for 200K records ($2.50/1K)

Bright Data is one of the biggest sales data providers around. They are high quality, can be refreshed often, and cover various data points, so it’s an excellent choice for companies and researchers alike.

The provider’s sales datasets can be categorized into two areas: focused on e-commerce companies (i.e. Amazon) or focused on specific product data (i.e. product availability or price). You can use Bright Data’s search to find the best dataset for your use case.

They cover major online marketplaces and retailers like Amazon, eBay, or Walmart. You can choose to refresh your dataset with new information daily, weekly, or on a custom schedule. Additionally, you can receive a free sample in CSV or JSON format with 30 records to check if it fits your use case. Bright Data also allows customization – filtering or renaming fields to get exactly the data you need.

The only downside would be the price. If you’re working on a relatively small project, paying $500 can sound intimidating. Nevertheless, Bright Data is a top choice if you’re looking for high quality data.

For more information, read the Bright Data review.

2. Oxylabs

Premium customizable sales datasets.

9.3/10 ⭐

Use the code proxyway35 to get 35% off your first purchase.

Data formats: JSON, CSV, XLSX

Pricing structure: based on record amount

Pricing model: one-time payment or with each refresh

Support: 24/7 via live chat, dedicated account manager

Pricing: starts at $1000 a month

Oxylabs is another excellent provider if you’re looking for fresh data on e-commerce products or reviews. It offers structured data from popular e-commerce websites like Amazon and Walmart.

The provider has multiple output formats, such as JSON and CSV, and flexible data storage options, including AWS S3, Google Cloud Storage, and SFTP. Oxylabs offers flexible refresh frequencies with custom datasets, allowing up to daily refresh.

Keep in mind that Oxylabs is a premium provider, so its services typically come at a higher cost, making them a better fit for enterprise use. Additionally, datasets don’t have an option of self-service, so you’ll have to contact sales to get a tailored offer.

For more information, read the Oxylabs review.

3. Coresignal

Well-rounded sales and B2B datasets.

Data formats: JSON, CSV, XLSX

Pricing model: monthly payments with a yearly contract

Support: contact form, dedicated account manager, technical support
Pricing: starts at $1000 a month

Coresignal focuses on delivering company and job posting datasets, but you can access product reviews and pricing information, too.

Coresignal’s datasets cover all main aspects of company information. You can get details about products, sales, customer intent, and other necessary sales data. The datasets are delivered in JSONL, CSV, or Parquet formats, with an option to customize delivery frequency. You can get your data using a web link or through cloud storage services.

The provider’s pricing is on par with other premium providers and starts at $1,000. However, Coresignal requires you to commit to a yearly contract, so it’s a better option for those with a long-term need for sales datasets.

For more information, read the Coresignal review.

4. Infatica

Sales data from various e-commerce sites.

8.7/10 ⭐

Use the code proxyway2024 to get 20% off your first purchase.

Data formats: JSON, CSV

Pricing model: monthly payments with a yearly contract

Support: 24/7 customer support via chat, email, or tickets
Pricing: custom

Infatica, better known as a proxy provider, has launched a different data service – customizable datasets.

The provider does not have a pre-made dataset collection where you can choose a product based on your needs, but instead offers a custom service. You can pick relevant data points, select websites, and adjust refresh frequency as you see fit. The collected data will be delivered in JSON or CSV output formats and delivered via cloud services.

However, with great customizability comes great vagueness. Infatica does not list a price approximation or how long the dataset making will take, so you’ll have to reach out to sales or customer support to find out the details.

For more information, read the Infatica review.

5. Apify

Pre-made templates for sales datasets.

Data formats: JSON, CSV, XML, JSONL, HTML table
Pricing model: based on usage

Pricing structure: subscription

Support: contact form
Pricing: custom (rental, pay per: result, event, or usage); or $49/month

Apify offers structured data from major retailers like Amazon, eBay, Walmart, and other companies. While it doesn’t have pre-collected datasets, Apify’s platform includes a wide selection of pre-made templates, so you can collect real-time product, pricing, and other relevant data without writing the code yourself.

The provider offers multiple predefined APIs named Actors that collect and process sales data. These Actors can extract information like product descriptions, stock availability, and reviews. The data can then be exported in multiple formats, such as JSON, CSV.

In terms of pricing, Apify is rather flexible. You can pay for individual Actors (prices vary) or opt for a monthly subscription for a full access to all Actors.

Isabel Rivera

Caffeine-powered sneaker enthusiast

April 15, 2025

The post The Best Sales Datasets of 2025 appeared first on Proxyway.

The Best Glassdoor Datasets of 2025

Isabel Rivera — Mon, 24 Mar 2025 07:35:39 +0000

Best

Glassdoor holds a massive amount of employee-reported data, and, when analyzed, can give companies a competitive edge. Let’s take a look at the best Glassdoor datasets available, and how they can benefit you.

Glassdoor datasets provide structured insights into various workplace details, such as compensation, employee satisfaction, hiring practices, and more. Businesses can use this information for competitive benchmarking, while those looking for a job can have realistic salary or culture expectations.

The Best Glassdoor Dataset Providers of 2025:

1. Coresignal – the most comprehensive Glassdoor dataset provider.

Try Coresignal>

2. Bright Data – a flexible Glassdoor data provider.

Try Bright Data>

3. Oxylabs – customizable Glassdoor datasets for businesses.

Use the code proxyway35 to get 35% off>

4. Apify – multiple APIs for Glassdoor data.

Use code 30PROXYWAY to get 30% off>

5. Infatica – custom-made Glassdoor datasets.

Use the code proxyway2024 to get 20% off your first purchase>

What Are Glassdoor Datasets?

A Glassdoor dataset is a structured collection of employee-reported information about salaries, company reviews, interview experiences, and workplace culture. In addition, it can have company and vacancy information from employers.

As individual reports add up, the data later on can be extracted to form a sizable dataset that can offer insights into job market trends, industry standards, employer reputation, and hiring practices. However, since some data is self-reported, it can be incomplete or biased toward certain industries.

Popular Use Cases for Glassdoor Datasets

Glassdoor datasets can be a valuable resource for multiple fields and stakeholders, from employees and job seekers to researchers.

Businesses can use these datasets for salary benchmarking, competitive research, and workplace culture improvement. Potential employees, on the other hand, can use them to negotiate pay and evaluate employers across industries.

But not only employers and employees can benefit from Glassdoor datasets – business analysts, academic and independent researchers can also use this data to discover past tendencies, predict trends, and see the market change from thousands of reviews.

Here are a few examples of how Glassdoor datasets can be used in different fields.

Business management	Human resources management	Academic & business research
Investigate competition Improve management quality Develop business strategies	Review salary policies Benchmark compensation Improve workplace culture	Discover market trends Review historical data Identify job satisfaction across industries

What to Look for in a Glassdoor Dataset?

When you’re choosing a Glassdoor dataset, make sure to review if it’s suitable for your use case. A good rule of thumb is to check the volume and data freshness, but there are other things you should consider:

Data volume. A larger dataset will typically provide more reliable insights and allow for better trend analysis. Look for datasets with a larger number of entries to ensure you’re working with enough data.
Data freshness. Look for a dataset that is regularly refreshed to reflect the latest changes in reviews, salaries, and job openings. Check how often the data is updated (i.e., daily, weekly, monthly, or quarterly) to ensure you have the most current information at hand.

Filtering options. High-quality datasets let you segment the data by job title, industry, location, company size, and other relevant factors. This flexibility can be helpful if you’re looking to extract specific insights.

Coverage. Make sure the dataset provides data from across various industries, job roles, locations, and other relevant elements. A dataset with broad coverage will provide better insights, especially if you are comparing different sectors or geolocations.

Delivery methods. For your own convenience, you can look into dataset delivery methods. Typically, you’ll find Glassdoor datasets available in JSON and CSV formats for easier access and analysis.
Price. While some Glassdoor datasets may be available for free, premium service (i.e. datasets with more data points, up to date information, more delivery options) will cost you extra.

Alternatives to Glassdoor Datasets

If you want a more hands-on approach, like collecting Glassdoor data yourself, you can choose to use a web scraping API. Web scraping APIs are tools for collecting real-time data from Glassdoor or other websites. There are many web scraping API providers in the market.

If you want a more comprehensive approach to company information, you might want data that’s not only on Glassdoor. In that case, you can opt for company data datasets that pull information from more sources.

The Best Glassdoor Datasets of 2025

1. Coresignal

The most comprehensive Glassdoor dataset provider.

Data formats: JSON
Pricing model: one-time purchase, yearly contract
Pricing structure: custom
Support: contact form, dedicated account manager
Free trial: data samples available
Starting price: $1,000

Coresignal specializes in datasets and data extraction services. The provider offers multiple datasets designed for business analysis, and one of them is a Glassdoor dataset.

Coresignal’s Glassdoor dataset is divided into three parts. You can find Glassdoor companies, Glassdoor jobs, and Glassdoor reviews information, so you get a variety of data. The records also date back to 2017, so you can use it for historical data analysis. It’s very detailed – you get access to company names, job titles, locations, salaries, websites, employee reviews, and more.

The dataset is updated every month (Jobs is updated continuously), and you can select how often you want to receive refreshed data (monthly or quarterly). It can be delivered to Amazon S3, Google Cloud, or Azure storages, or you ask for a link to retrieve it from Coresignal’s storage. Unfortunately, the data formats here are sparse – you can only get this dataset in JSON.

Coresignal’s dataset price can appear quite high. However, if you’re planning to work with Glassdoor datasets often, it’s a pretty good deal considering how many records you’re receiving.

For more information, read our Coresignal review.

2. Bright Data

A flexible Glassdoor data provider.

9.3/10 ★

Data formats:
– APIs: JSON & CSV
– Datasets: JSON, ndJSON, CSV & XLSX
Pricing model:
– Datasets: one-time, biannual, quarterly, monthly refresh
– Web Scraper API: subscription or pay as you go
Pricing structure: based on records
Support: 24/7 via live chat, dedicated account manager
Free trial: 7-day trial for businesses, 3-day refund for individuals; dataset samples available
Starting price:
– Datasets: $500 for 200K records ($2.50/1k records)
– Web Scraper API: $1/1K records or $499/month ($0.85/1K records)

Bright Data offers a wide selection of ways to get data: namely, Glassdoor datasets and a web scraping API with a Glassdoor endpoint.

The provider offers three pre-made Glassdoor datasets – company overview, job listings, and company reviews – that you can download in JSON, CSV, and Parquet formats. Self-service also lets you customize the dataset – pick preferred filters, choose what updates you need, and review if the data meets your needs.

You also have a variety of delivery options – Bright Data offers delivering to Snowflake, Amazon S3, Google Cloud, Azure, and SFTP storage with the possibility to get data refreshed on a custom schedule.

The web scraping API, on the other hand, comes with multiple ready-made scraper templates for Glassdoor and will deliver desired data in real time. You can choose from 8 templates which include company overview, job listings, You get a ton of delivery options and formats, and the API itself is very customizable: you can adjust data collection scale, set record limits, and more.

Bright Data’s service is not cheap, but it’s designed for enterprise use. You pay for excellent documentation, a dedicated account manager, and an array of useful tools for Glassdoor data collection.

For more information, read our Bright Data review.

3. Oxylabs

Customizavle Glassdoor datasets for businesses.

9.3/10 ★

Use the code proxyway35 to get 35% off your first purchase.

Data formats: XLSX, CSV & JSON
Pricing structure: one-time payment or subscription
Support: 24/7 via live chat, dedicated account manager
Free trial: not disclosed
Starting price:
– Standard job postings dataset: $1,000 per month
– Custom Glassdoor dataset: custom, contact sales

Oxylabs is a known player in the data industry catering to large business clients. The provider offers two ways to get Glassdoor data – either choosing a standard job postings dataset that will include data from other sources or getting a fully customized Glassdoor dataset.

The standard job postings dataset contains data from sources like Glassdoor, Indeed, and StackShare, and will provide you information on job titles, company overview, vacancies, locations, salaries, and more.

You can receive the dataset straight to your preferred storage – Amazon S3, Google Cloud, Azure, or other bucket in CSV, JSON, or xlsx formats. The job postings dataset can be refreshed and delivered to you on an agreed interval, but not more frequently than monthly.

The custom Glassdoor dataset is even more flexible. You can completely customize what data points from Glassdoor you want to receive and get them delivered in multiple formats. The key aspect is the delivery frequency – you can request refreshed data to be brought to you as often as daily. You’ll also receive access to a dedicated Slack channel for easy communication with the account managers.

Similarly to other providers on the list, Oxylabs’s starting price is steep, and the custom option is likely even more expensive.

For more information, read our Oxylabs review.

4. Apify

Multiple APIs for Glassdoor data.

Data formats: JSON, CSV, XML, RSS, JSONL & HTML table
Pricing model: based on usage
Pricing structure: subscription
Support: contact form, Discord community, live chat (Mon-Fri 8:00 AM – 5:00 PM UTC)
Free trial: a free plan with $5 platform credits is available
Price: custom (rental, pay per: result, event, or usage); or $49/month

Apify is a slightly unorthodox option for getting Glassdoor datasets, as it doesn’t offer datasets as a service. Instead, the provider has various pre-made Actors that can extract and format Glassdoor data for you.

Actors are easy to use, have relatively simple interfaces, and customizable settings. This enables quick handling of incoming requests without complex setup or technical expertise. Despite that, it will take longer compared to downloading a dataset.

Each Actor generates a separate dataset that you can later use for data processing. These ready-made Glassdoor datasets can be exported in multiple formats, including JSON, CSV, XML, xlsx, and others.

Apify’s pricing varies based on Actors, with options to pay per use. Unfortunately, this means you won’t know the final price of your project until after it’s done. However, you can subscribe to a monthly plan which will help save money if you’re planning to collect data at large.

5. Infatica

Custom-made Glassdoor datasets.

8.7/10 ★

Use the code proxyway2024 to get 20% off your first purchase>

Data formats: JSON, CSV
Pricing model: not disclosed
Pricing structure: monthly payments with a yearly contract
Support: 24/7 customer support via chat, email or tickets
Free trial: contact sales
Price: custom

Infatica is better known as a proxy provider, but it launched a different data service – datasets.

The service differs from others on the list because Infatica doesn’t have pre-made datasets, but instead offers custom ones from various websites, including Glassdoor.

Knowing that Infatica’s datasets are customizable, you can pick what data you need and how often you want to receive it. The custom-made Glassdoor dataset can be delivered in JSON, CSV, or other output formats, and then delivered via your chosen cloud service.

The main downside of Infatica’s datasets is the vagueness. There’s little information available on the website, so you’ll need to contact sales or customer support to find out if the service is a viable option for your specific case.

For more information, read our Infatica review.

Isabel Rivera

Caffeine-powered sneaker enthusiast

April 8, 2025

The post The Best Glassdoor Datasets of 2025 appeared first on Proxyway.

The Best E-Commerce Product Data Providers of 2025

Isabel Rivera — Thu, 20 Feb 2025 10:04:31 +0000

Best

AI and automation have shaped the way we perceive information – it’s now essential to use large amounts of data to gain a competitive advantage. In this context, e-commerce datasets provide valuable insights into pricing trends, product availability, customer reviews, and marketplace dynamics.

However, let’s be honest, choosing the right provider for your needs isn’t always straightforward. So, what should you consider when evaluating e-commerce product data providers? Let’s find out.

The Best E-Commerce Product Data Providers in 2025:

1. Oxylabs – the best overall e-commerce datasets.

Use the code proxyway35 to get 35% off>

2. Bright Data – versatile e-commerce dataset provider.

Try Bright Data>

3. Apify – the largest pre-made e-commerce product data template provider.

Use code 30PROXYWAY to get 30% off>

4. ScraperAPI – e-commerce product data from three major retailers.

Visit ScraperAPI>

5. Zyte – e-commerce product data from three major retailers.
Visit Zyte>

What Is E-Commerce Product Data?

Product data is the backbone of online commerce, powering everything from search results and ads to inventory management and price tracking. E-commerce product data is information included in e-commerce websites. Retailers like Amazon, eBay, or Walmart are one of the most popular retailers that offer large volumes of structured product data. Such data includes:

Basic product information: product titles, descriptions, SKUs, and categories.
Pricing and availability: product prices, discounts, stock levels, and shipping details.
Images and media: high-quality product photos, videos, and 360-degree views.
Specifications and attributes: size, color, weight, dimensions, materials, and technical details.
Customer reviews and ratings: feedback from buyers that helps influence purchasing decisions.
SEO and metadata: keywords, meta descriptions, and structured data that improve search rankings.

Here’s an example of how structured e-commerce product data can look like:

Product name	SmarterPhone 10 Ultra
Description	High-end smartphone, titanium frame, 6.5-inch display
Price	$1,199
SKU	SP10ULT-256GB-GR
Image
Specifications	256GB storage, 50MP rear camera, smartOS 12 operating system, gray color
Availability	5 left in stock

What Is an E-Commerce Dataset?

An e-commerce dataset is a collection of structured data points, such as product listings, customer behavior, pricing trends, and sales performance, which are gathered from different sources like online marketplaces.

Businesses and researchers use e-commerce datasets to learn about consumer behavior, track competition, improve pricing strategies, and delve into market trends. Additionally, it can help analyze historical data, such as changes in purchasing patterns, and predict future trends.

What Is a Dataset? Comparing Scraping APIs and Pre-Collected Datasets

Learn all you need to know about datasets, and how they differ from web scrapers.

Alternative Ways to Get E-Commerce Product Data

There are more ways to get e-commerce data than buying an e-commerce dataset. So, if you prefer to do some work or need more precise data, you can go with web scraping, official or third-party APIs.

Web scraping is the most hands-on approach to get e-commerce product data. If you want to extract e-commerce details like pricing and customer reviews, you’ll need to build and configure your own web scraper to crawl target marketplaces. This means you’ll need to identify your target website’s structure, pinpoint key data points, integrate proxies, and handle technical challenges like CAPTCHAs or dynamic content all on your own. On top of that, you’ll need to maintain your scraper – update and adjust when needed. But it’s the most customizable way to go about collecting e-commerce data, especially if you need it on-demand.

Some e-commerce platforms and marketplaces have official APIs – Amazon Product Advertising API, eBay API, and Walmart API – that provide access to their data without the need for you to do any web scraping. However, they often come with limitations, such as rate restrictions, limited access to certain data points, and approval requirements.

If you find official APIs too limited, you can choose to get e-commerce data through a third-party provider’s interface. With such APIs you send requests to a server and receive data in a structured format like JSON. This method allows you to get only necessary data points.

Where to Use E-Commerce Product Data?

Product data can be useful for many areas, ranging from academic research to strategic business planning. Here are some ideas where product datasets can be helpful:

Price monitoring. Product data allows you to peek into your competitors’ pricing strategies and make adjustments to your products if necessary.

Retail improvement. Product datasets can help optimize product descriptions, images, videos, and other attributes to increase conversions.

Marketing and SEO. Product data can help make ads better and improve SEO rankings.

Business intelligence . You can use product datasets to analyze trends, various product performance, identify market gaps, and more. It’s also useful in academic setting, where product data can be useful to researchers studying consumer behavior, purchasing patterns.

Marketing research. Some data points can help distinguish how consumers react to different product descriptions, images.Additionally, it helps study the effectiveness of advertising.
Data science and machine learning. Product data can be used to train AI or analyze customer sentiment.

The Best E-Commerce Product Data Providers

1. Oxylabs

The best overall e-commerce datasets.

9.3/10 ★

Use the code proxyway35 to get 35% off your first purchase.

Refresh frequency: one-time, monthly, quarterly, bi-annually
Data formats:
– Web Scraper API: JSON & CSV
– Datasets: JSON, ndJSON, CSV & XLSX
Pricing model:
– Web Scraper API: subscription
– Datasets: one-time purchase or bi-annual, quarterly, monthly paid refresh
Pricing structure: successful requests (API) or based on records (datasets)
Support: 24/7 via live chat, dedicated account manager
Free trial: 7-day trial for businesses, 3-day refund for individuals
Starting price:
– Web Scraper API: $49 for 36,296 records (1.35/1K)
– Datasets: custom

Oxylabs is a top-tier provider of e-commerce product datasets that offers structured data from major sources like Amazon and Walmart.

The provider supports multiple output formats, such as JSON and CSV, and offers flexible storage options, including AWS S3, Google Cloud Storage, and SFTP. You can also choose from various delivery frequencies – one-time, monthly, quarterly, or bi-annually – to fit your business needs.

If you decide that e-commerce product dataset is not enough, Oxylabs also has a scraper API with dedicated endpoints for e-commerce websites. You’ll need to provide the necessary parameters and a target URL, then send the request to receive results in HTML format. You can get results through various delivery methods, including the API or directly to your cloud storage bucket (AWS S3 or GCS). Additionally, it contains features like a custom parser, web crawler, scheduler. Lastly, an AI-based assistant – OxyCopilot – makes integration easier by allowing you to use natural language instructions for scraping and parsing.

However, as a premium provider, its services come at a higher cost, making it a better fit for enterprises that prioritize high-quality and reliable data over budget constraints.

For more information and performance tests, read our Oxylabs review.

2. Bright Data

Versatile e-commerce dataset provider.

9.3/10 ★

Refresh frequency (datasets): one-time, monthly, quarterly, bi-annually
Data formats:
– Company data APIs: JSON & CSV
– Datasets: JSON, ndJSON, CSV & XLSX
Pricing model:
– Web Scraper API: subscription or pay-as-you-go
– Datasets: one-time, biannual, quarterly, monthly purchase
Pricing structure: based on record amount
Support: 24/7 via live chat, dedicated account manager
Free trial: 7-day trial for businesses, 3-day refund for individuals
Starting price:
– Web Scraper API: $1.5/1K records or $499/month ($0.85/1K records)
– Datasets: $500 for 200K records ($2.50/1k records)

Bright Data is a top choice for businesses looking for high-quality e-commerce datasets. Whether you need structured data on product listings, pricing trends, customer reviews, or seller details, Bright Data offers multiple options, including pre-built datasets and real-time data collection via API or no-code scrapers.

Its e-commerce datasets cover major online marketplaces and retailers like Amazon, with updates available daily, weekly, or on a custom schedule. You can access a free sample in CSV or JSON format with 30 records, while full datasets contain 1,000 records. Bright Data also allows customization – filter, rename, or exclude fields to get exactly the data you need.

For businesses requiring continuous data collection, Bright Data has a scraper API and a no-code solution with dedicated endpoints for top e-commerce platforms. The API supports both real-time scraping for up to 20 URLs at once and batch processing for larger requests.

Additional features include an API playground for testing, extensive documentation, and the option to work with a dedicated account manager when subscribing.

Read the Bright Data review for more information and performance tests.

3. Apify

The largest pre-made e-commerce product data template provider.

Refresh frequency: custom with monitoring actor
Data formats: JSON, CSV, XML, RSS, JSONL & HTML table
Pricing model: based on usage
Pricing structure: subscription
Support: contact form
Free trial: a free plan with $5 platform credits is available
Price: custom (rental, pay per: result, event, or usage); or $49/month

Apify offers structured data from major online retailers like Amazon, eBay, Walmart, and others. It has a wide selection of pre-made templates, so you can easily access high-quality product, pricing, and marketplace data without writing the code yourself.

The provider also has multiple APIs named Actors – cloud-based, serverless programs that collect and process e-commerce data based on predefined scripts. Actors can extract key information, such as product descriptions, prices, stock availability, reviews, and seller details. The collected data is stored in structured datasets and can be exported in multiple formats, including JSON, CSV, and others.

Apify has flexible pricing – you can pay for individual Actors based on their specific costs or go for a monthly subscription for broader access to its dataset services.

4. ScraperAPI

E-commerce product data from three major retailers.

Data formats: JSON and CSV
Pricing model: based on credits
Pricing structure: subscription
Support: e-mail
Free trial: 1k free credits/month, 7-day trial with 5K API credits
Price: custom

This provider doesn’t have an e-commerce dataset, but it offers custom API endpoints specifically designed for getting structured data from major platforms like Amazon, eBay, and Walmart.

These APIs include Amazon Product Page, Search, Offers, and Reviews APIs; eBay Product Page and Search APIs; and Walmart Search, Category, Product, and Reviews APIs, all delivering data in structured JSON or CSV formats for easy integration.

The APIs can handle both single and multiple query requests, making it versatile for different use cases. For a single query, you can send a POST request that includes various parameters, such as your API key, search query, and other settings. For batch requests, the API can manage multiple queries in one go.

ScraperAPI has competitive pricing at first glance, but it uses a credit-based system. The number of credits required depends on the complexity of the target website – and typically, e-commerce websites are difficult to tackle.

5. Zyte

E-commerce product data for small projects.

8.8/10 ★

Data formats: JSON and CSV
Pricing model: based on optional features
Pricing structure: pay as you go, subscription
Support: available via an asynchronous contact method
Free trial: $5 worth of platform credit
Price: custom

While not exactly a dataset provider, Zyte offers a way to get e-commerce data through predefined schemas. These schemas can automatically scrape detailed product information from various e-commerce sites. The platform has an easy-to-use interface and flexible configurations that allow you to extract data with minimal technical effort.

These schemas work by using web crawlers, known as spiders, that can be customized based on your specific needs. Spiders can access and automatically extract data such as product details, product lists, and product navigation. You can choose parameters such as search queries or geolocation preferences. When it comes to data output, Zyte allows the results to be structured and exported in formats like JSON and CSV.

As for pricing, Zyte’s flexible approach allows you to pay for individual requests or scale up to a subscription plan for broader access, depending on your needs.

Read the Zyte review for more information and performance tests.

Isabel Rivera

Caffeine-powered sneaker enthusiast

April 4, 2025

The post The Best E-Commerce Product Data Providers of 2025 appeared first on Proxyway.

The Best Job Posting Data in 2025

Isabel Rivera — Wed, 05 Feb 2025 12:26:37 +0000

Best

Job posting data is a goldmine for those who deal with the hiring process, from job seekers to employers, and data analysts.

While you can always manually search job boards or company career pages, that’s a burdensome process. Instead, APIs and ready-made datasets allow you to access job postings and key insights in a structured, easy-to-use format. So, you can forget about building a custom scraper or skimming through endless pages of listings.

Let’s find the best job posting data providers for you.

The Job Posting Data Providers of 2025:

1. Coresignal – the largest job posting data provider.
Visit Coresignal>

2. Bright Data – provider with a robust job posting data infrastructure.

Try Bright Data>

3. Oxylabs – job posting data from major online job advertisers.

Use the code proxyway35 to get 35% off>

4. Apify – the largest pre-made job data template provider.

Use code 30PROXYWAY to get 30% off>

5. ScraperAPI – job posting data from Google Jobs.

Visit ScraperAPI>

What Is a Job Posting Data?

Job posting data is information gathered from online job advertisers. Job boards like Indeed, LinkedIn, and Glassdoor are the most common sources of job postings. But that’s not all – many companies list available vacancies on their own career pages. Additionally, there are government databases with public labor market information.

Typically, job posting data includes:

Job titles: specific roles like software engineer or marketing specialist.
Job descriptions: responsibilities and tasks associated with the position.
Company details: employer’s overview including its name, industry, and size.
Locations: where the job is based, for example, New York, London, or remote location.
Salary ranges: compensation, either as a fixed amount or a range.
Employment type: details such as full-time, part-time, freelance, or contract.

There are more data points to be considered when collecting job posting information – required skills, posting date, and more.

How to Get Job Posting Data

There are three main ways to go about getting job posting data: web scraping, APIs, and datasets.

Web scraping requires the most effort from your side. To get job posting data you need to extract it directly from the target job site using a self-built web scraper. You have to navigate the website’s structure and identify the relevant data points, such as job titles, descriptions, company names, locations, and application links. You are also the one responsible for handling web scraping challenges like pagination, CAPTCHAs, and dynamic content. Additionally, you need to manage data storage and maintain the scraper all the time.

APIs allow you to access job posting data through a third-party provider’s interface. With an API, you send requests to a server and receive the job posting data in a structured format, such as JSON or XML. So, you can retrieve only the necessary data points without having to manually scrape websites.

The simplest way to get job information is to use pre-collected datasets. They are pre-compiled collections of job posting data that have already been cleaned and organized by the provider. Once you buy a dataset, it’s ready for immediate use. You can usually download job posting datasets in CSV, JSON, or SQL formats, and integrate them with cloud storage platforms like AWS S3 or Google Cloud Storage. Some providers offer subscription-based services where you receive refreshed datasets at regular intervals (e.g., monthly or quarterly).

Web Scraping vs API vs Dataset

Method	Description	Required effort	Advantages	Disadvantages
Web scraping	Gather job data directly from a job site using a self-built web scraper.	High effort: build and maintain the scraper, navigate website structures, and handle challenges like CAPTCHAs and dynamic content.	Full control over data.	Time-consuming, requires technical skills, and ongoing maintenance.
APIs	Access job data via a third-party provider’s interface by sending requests to a server and receiving data in structured formats like JSON or XML.	Moderate effort: learn API documentation, set up request processes, and integrate results into your application.	Simplifies data retrieval, no manual scraping needed, structured data format.	Limited to the data provided by the API, might be costly.
Datasets	Use pre-collected and pre-cleaned job posting datasets available for purchase or subscription.	Low effort: buy, download, and use immediately without additional work.	Ready-to-use data, saves time, often available in multiple formats, and easy to integrate with cloud storage platforms.	May not cover specific data, the costliest, limited flexibility and customization.

What to Look for in a Job Posting Dataset

When choosing a job posting dataset, there are several things to consider:

Data volume: a larger dataset means more coverage of the job market. On the other hand, a high volume can also mean more data to manage and analyze, so you should assess whether the volume aligns with your use case.
Location coverage: some datasets focus on a specific region, such as a country or city, while others provide global coverage. If you’re looking for job postings in a specific location or industry, make sure the dataset covers them.
Delivery frequency: datasets are typically available for a one-time download, but you can set a schedule – refresh data monthly, quarterly, or at custom frequency.
Structure: datasets come pre-structured; they are organized into easily digestible categories. Unstructured data, on the other hand, may require additional processing or cleaning before it can be used for further analysis.
Sources: job postings can come from a variety of platforms, including popular job boards like Indeed or LinkedIn, company websites, or recruitment agencies.

However, it’s worth noting that some providers may not disclose these details upfront. In such cases, it can be difficult to fully assess the dataset for your needs.

The Best Job Posting Data Providers

1. Coresignal

The largest job posting data provider.

Data formats: JSON and CSV
Pricing model:
– Datasets: One-year contract, one-time purchase
– Data API: Subscription
Pricing structure:
– Datasets: Custom
– Data API: Credit system (for search and data collection). One credit equals one full record in all available data fields.
Support: contact form, dedicated account manager (for subscribers and dataset users), tech support
Free trial:
– Datasets: Data samples
– Data API: 200 credits for 14 days
Starting price:
– Datasets: $1,000
– Data API: $49/month

Coresignal is the largest job posting data provider on this list. The provider offers both API and datasets.

Jobs data API comes with over 292 million public job posting records and updates every 6 hours. You can get various data, such as job title, description, seniority, salary, and more. There are two methods to access job posting data: search and collect. The search method allows you to use filters to query and refine Coresignal’s database. The collection method lets you retrieve data either individually or in bulk (up to 10,000 records in one batch) with just a few clicks.

Alternatively, you can get job data datasets with over 496 million job posting records from four category sources: Professional Network, Indeed, Glassdoor, and Wellfound (Angellist) jobs. The datasets are delivered in JSON or CSV formats depending on the category you choose. You can select a preferred delivery frequency, and get data via links, Amazon S3, Google Cloud, or Microsoft Azure.

Coresignal’s pricing is pretty straightforward – one credit gives access to one complete record, so there’s no hidden fees or additional charges.

For more information and performance tests, read our Coresignal review.

2. Bright Data

Provider with a robust job posting data infrastructure.

9.3/10 ★

Data formats:
– Company data APIs: JSON & CSV
– Datasets: JSON, ndJSON, CSV & XLSX
Pricing model:
– Web Scraper API: subscription or pay-as-you-go
– Datasets: one-time, biannual, quarterly, monthly purchase
Pricing structure: based on record amount
Support: 24/7 via live chat, dedicated account manager
Free trial: 7-day trial for businesses, 3-day refund for individuals
Starting price:
– Web Scraper API: $1/1K records or $499/month ($0.85/1K records)
– Datasets: $500 for 200K records ($2.50/1k records)

Bright Data is a strong choice when it comes to getting reliable job posting data – you can choose between various datasets or scrape job postings via API or no-code scrapers.

Off with datasets, you can choose between four options: LinkedIn or LinkedIn profiles, Indeed and Glassdoor job listings. Data covers all 50 US states and you can get updates to your jobs dataset on a daily, weekly, monthly, or custom basis.

Additionally, you can download a data sample in CSV or JSON format with 30 records, but the full dataset will contain 1,000 records. You can also customize the dataset to your liking – remove, rename, and filter.

Bright Data also allows you to get job data via API or no-code interface (plug and play plugin). Its scraper API comes with multiple dedicated endpoints for major job sites – LinkedIn, Glassdoor and Indeed. You can input up to 20 URLs for real-time scraping or significantly more when processing requests in batches, depending on the scraper type.

Bright Data also has useful features, like an API playground, helpful documentation, and you can have your own dedicated manager if you opt for a subscription.

For more information and performance tests, read our Bright Data review.

3. Oxylabs

Job posting data from major online job advertisers.

9.3/10 ★

Use the code proxyway35 to get 35% off your first purchase.

Data formats:
– Company data APIs: HTML & JSON
– Datasets: XLSX, CSV & JSON
Pricing model:
– Web Scraper API: based on successful requests
– Datasets: not disclosed
Pricing structure: subscription
Support: 24/7 via live chat, dedicated account manager
Free trial:
– Web Scraper API: one week trial with 5K results
– Datasets: contact sales
Price:
– Web Scraper API: $49/month ($2/1K results)
– Datasets: from $1000/month

Oxylabs is another solid choice if you want quality job posting data. Its datasets come from major online job advertisers, like Indeed, Glassdoor and StackShare. Additionally, you can go with the Web Scraper API and choose other popular targets, such as Google Jobs.

The datasets come in multiple storage options: AWS S3, Google Cloud Storage, SFTP, and others. You can also choose the frequency for receiving refreshed datasets – whether it’s monthly, quarterly, or on a custom schedule.

If you want to scrape job data yourself, use the Web Scraper API – simply send the request with the required parameters and target URL. You’ll then receive the results in HTML or JSON formats. Results can also be delivered via API or directly to your cloud storage bucket (AWS S3 or GCS). The scraper includes features like a custom parser, web crawler, and scheduler.

The API includes the OxyCopilot assistant which turns natural language instructions into API code for Python, Node.js, and more. As a premium provider, Oxylabs has one of the best customer support, a dedicated account manager, and thorough documentation.

For more information and performance tests, read our Oxylabs review.

4. Apify

The largest pre-made job data template provider.

Data formats: JSON, CSV, XML, RSS, JSONL & HTML table
Pricing model: based on usage
Pricing structure: subscription
Support: contact form
Free trial: a free plan with $5 platform credits is available
Price: custom (rental, pay per: result, event, or usage); or $49/month

Apify offers hundreds of pre-made templates for various job sites like LinkedIn, Workable, Indeed, and others. The provider also has APIs and calls them Actors.

Actors are cloud-based, serverless programs that perform specific tasks based on predefined scripts. They come with an intuitive interface and flexible configurations and you can run them locally or in the cloud.

The provider allows you to manage incoming requests without complex setups or deep technical skills, similar to how a standard API server functions. When you run an Actor, the results are stored in separate datasets, and you can export the datasets in multiple formats, such as JSON, CSV, and others.

As for pricing, you have the option to pay for individual Actors based on their specific costs, or you can subscribe to a monthly plan for more comprehensive access.

5. ScraperAPI

Job posting data from Google Jobs.

Pricing model: based on credits
Pricing structure: subscription
Support: e-mail
Free trial: 1k free credits/month, 7-day trial with 5K API credits
Price: custom

ScraperAPI offers an API with a dedicated endpoint for Google Jobs result page.

The provider allows you to fetch structured job listings directly from Google’s search results and return them in a JSON output. The API can handle both single and multiple query requests, making it versatile for different use cases. For a single query, you can send a POST request that includes various parameters, such as your API key, search query, and other settings. For batch requests, the API can manage multiple queries in one go.

Additionally, you can specify the Google domain to scrape (e.g., google.com, google.co.uk) and adjust settings for geo-targeting, query encoding, result ordering, and more. If you want to try the Google Jobs endpoint, you can create a free ScraperAPI account to get 5,000 API credits.

6. Zyte

Job posting data API for simple tasks.

8.8/10 ★

Pricing model: based on optional features
Pricing structure: pay-as-you-go, subscription
Support: available via an asynchronous contact method
Free trial: $5 credit
Price: custom

Zyte API allows you to get job posting data from various websites. With fields like jobPosting (for the details of the job listings) and jobPostingNavigation (for navigating through multiple job postings), the provider allows you to extract structured data from job boards and company websites with minimal setup.

The API provides detailed job data, including titles, descriptions, salary, publication dates, and location. This data is returned in a structured JSON format. Zyte’s jobPostingNavigation parameter helps to manage pagination and crawl job listings across multiple pages without separate requests for each. The API allows you to either send an HTTP request or automate a browser to collect data.

Zyte’s pricing is very customizable, but the provider has a dashboard tool that helps to estimate the cost per request. While it’s affordable for basic scraping configurations, the price can increase if you need features like JavaScript rendering.

For more information and performance tests, read our Zyte review.

7. Proxycurl

Job posting data from LinkedIn.

Pricing model: annual plans with a monthly payment option
Pricing structure: credit system (1-10 credits/request, even if no results are returned)
Support: live chat
Free trial: 2 months free credits for subscription or annual plan
Price starts from: $10 for 100 credits (0.1/credit)

Proxycurl is a data service that sells an API with endpoints for jobs posted by a company on LinkedIn.

The provider has three endpoints: jobs search, listing, and profile. For example, the job search endpoint allows you to retrieve job postings from LinkedIn by specifying filters such as job type, experience level, and location.

You can filter jobs by keyword, work flexibility, region, the date posted and company that posted. The provider also has decent documentation for its APIs and you can run your queries in Postman.

Proxycurl offers only annual plans, with the option to choose monthly payments or pay the full sum upfront. However, the provider charges even if a successful request returns an empty result.

Isabel Rivera

Caffeine-powered sneaker enthusiast

March 17, 2025

The post The Best Job Posting Data in 2025 appeared first on Proxyway.

The Best G2 Web Scrapers of 2025

Isabel Rivera — Tue, 07 Jan 2025 08:24:46 +0000

Best

G2 is one of the largest business software and service review platforms, holding almost 3 million reviews across a wide range of tools and services. Over the years, it has become the go-to source for anyone seeking genuine user reviews about specific business tools.

It’s also a goldmine for business analysts, as it provides access to honest user feedback – helping them identify positives, recognize the painpoints, and gather ideas for potential product improvements.

However, collecting and analyzing these reviews manually is a daunting task that can take hours. Hence, we tested a bunch of G2 scrapers and compiled a list of the best ones that will help you gather insights from the site with ease.

The Best G2 Scrapers of 2025:

1. NetNut – the fastest feature-rich G2 scraper.

Use the code PWYNTNT to get a 30% discount>

2. SOAX – G2 scraper with reliable infrastructure.

Use the code proxyway to get 20% off>

3. Zyte API – G2 scraper with multiple integration modes.

Visit Zyte>

4. Decodo (formerly Smartproxy) – affordable scrapers for G2.

Try 100MB for free>

5. Oxylabs – G2 scraper with an AI-powered assistant.

Use the code proxyway35 to get 35% off>

What Is G2 Scraping?

G2 scraping refers to the automated data extraction from the G2 review website. People scrape G2to collect real user reviews about business tools, but you can also find other valuable information, like approximate price and contact information. Here are some common uses for G2 scraping:

User reviews. G2 is a huge database of reviews about specific software and services. If you’re in a software-as-a-service (SaaS) industry, you can collect feedback about your product. Alternatively, if you’re looking to add a new tool to assist with your business operations, you can collect reviews to see if it suits your needs.

A list of specific software or services. G2 categorizes various tools that have a similar purpose. For example, you can compare video conferencing platforms like Google Meet, Microsoft Teams, Zoom, or Skype. Scraping these lists can help identify your business’s competitors.
Contact information. G2 also provides company contact details for inquiries about specific products. If you want to get in touch with the service providers, you can scrape contact information to save some time.

In addition, G2 offers a star rating system, pros and cons list, and user satisfaction ratings for each listing. By scraping these, you can compare different products, discover the best or worst rated tools, and more.

Can You Scrape G2 Reviews?

Reviews posted on G2 are public, and you can legally scrape them. The website also has its official API that allows you to scrape specific data. However, if you choose to go with a third-party tool or build a G2 scraper yourself to collect data, there are several good scraping practices you should follow when scraping G2 or other websites.

Avoid scraping personal user information. Reviews are written by registered G2 users who might have their names, photos, and personal details written in their profiles. We strongly advise against scraping personal information without explicit user consent.

Familiarize yourself with G2’s terms of use. Take some time to go through the terms of use to fully understand what you can or cannot scrape.
Respect the robots.txt file. Robots.txt file is a set of instructions for automated programs (like scrapers) visiting the website. It defines the rules for which pages the bots can’t access (these can be password-protected sites, admin panels, etc.) Read through G2’s robots.txt file before scraping to make sure you’re respecting the site’s rules.

Can You Scrape With the Official G2 API?

G2 offers an official API for collecting specific data from the website, which can be a great option since the API is maintained by G2. However, keep in mind that the official API is quite limited about the categories and data points you can collect, so it might be of little use in your specific case. If the official API does not meet your expectations, you can choose other scraping methods, too.

Types of G2 Scrapers

G2 is a popular target for scraping, so there are multiple ways to collect data from the website. If you’re not interested in scraping with the official G2 API, your tool selection depends on your preference, budget, and the type of data you plan to scrape. Typically, individuals or businesses use one of three methods to collect data from G2:

No-code tools. If you don’t have the skills to scrape G2, you can use no-code scrapers. These tools allow you to navigate the G2 website and click on the elements you’re interested in. The tool then translates your interactions into scraping logic, and sends back structured results. Alternatively, you can purchase pre-collected G2 datasets.

Custom-built scrapers. If you’re looking to save money when scraping G2, you can build a scraper yourself. This way, you’ll be able to customize the tool exactly how you want, but you’ll have to maintain all the infrastructure yourself. While it’s cheap, it does require a quite high skill level.

Third-party scrapers. Third-party scrapers are software tools designed to scrape G2 and potentially other websites, so you won’t need to worry about maintaining the scraper infrastructure yourself. They usually come with great geolocation coverage, and many useful features, like parsing capabilities. The two most popular types of scrapers you can purchase are scraper APIs or proxy-based APIs. Both types rotate IPs, handle CAPTCHAs and other anti-bot protection measures, select browser headers, fingerprints, and more. Here’s how they differ:

- Scraper API integrates as an API, so all you’ll have to do is send the request, and the tool will handle everything else for you. Usually, scraper APIs have data parsing capabilities.

- Proxy-based APIs, on the other hand, integrate as proxy servers to ensure uninterrupted access to your target website, and allow you to send an API request to collect the data. However, they likely won’t have a built-in parser to structure your collected data.

The Best G2 Scrapers

1. NetNut

The fastest G2 scraper.

9.0/10 ⭐

Use the code PWYNTNT to get a 30% discount.

Pricing model: based on successful requests
Data parsing: no
Free trial: 7-day free trial for companies
Pricing: unknown

NetNut is an enterprise-focused provider that offers robust proxy and scraping tools. Website Unblocker is a great choice for collecting G2 data.

You can choose from 150+ geolocations and target individual countries. Website Unblocker supports GET and POST requests for easy data fetching and interaction with web forms or APIs. Unfortunately, the tool doesn’t have an integrated data parsing feature, so you’ll have to clean and structure it yourself.

In terms of performance, our tests showed a spectacular performance with G2. The scraper’s success rate was consistently over 99%, and it was the fastest among the tested.

There’s little to say about the price as it’s not listed on the website – you’ll have to contact NetNut’s support to find out the cost of Website Unblocker. On the bright side, there’s a 7-day trial for companies available.

For more information and performance tests, read our NetNut review.

2. SOAX

G2 scraper with reliable infrastructure.

9.0/10 ⭐

Use the code proxyway to get 20% off.

Pricing model: based on successful requests
Data parsing: no
Free trial: 3-day trial available
Pricing: starts from $15 per month ($2.1/1K requests)

SOAX is a provider catering to both small companies and enterprises. This provider offers a general-purpose Web Unblocker for scraping G2.

The API allows you to send multiple concurrent requests and even create custom logic for your tasks. There’s no built-in parser, but you can choose to receive scraped data in either raw HTML or JSON to further manipulate it yourself.

Web Unblocker was one of the most successful scrapers we tested, but it was relatively slow – it took the tool almost 14 seconds to open G2. Nevertheless, SOAX’s scraper was very reliable, and succeeded in opening G2 over 99% of the time.

Unfortunately, there’s very little documentation about how to set up Web Unblocker, but you can reach out to customer support 24/7 via email or chat if you have any issues. SOAX’s Web Unblocker is a good value choice for smaller companies, as its entry price is quite low, and the option to pay as you go is also great to test the product.

Read the SOAX review for more information and performance tests.

3. Zyte

G2 scraper with multiple integration modes.

8.6/10 ⭐

Pricing model: dynamic, depends on add-ons
Data parsing: yes
Free trial: $5 credits for 30 days
Pricing: custom

If you’re not new to scraping, you’re probably familiar with Zyte. Zyte API is a general-purpose scraper that excels in scraping G2 data.

Zyte API can be integrated as a real-time API or a proxy server, and is packed with features. The scraper can screenshot, click, scroll, and type, but you can also write your own interaction scripts using TypeScript API in a cloud-hosted VS Code environment. Zyte doesn’t have a built-in parser, but you can manually create parsing rules using CSS selectors.

The tool is one of the most performant scrapers we tested. While it had a slightly lower success rate (just over 90%) and response time (6.71 seconds), it still had one of the best results when unblocking G2.

Zyte’s pricing is very customizable. You can commit to a monthly plan or pay as you go, and the starting price can be as low as $1 for very basic projects. But be aware that some features cost extra, so the final price can increase. Luckily, you can estimate your project’s cost on the website.

For more information and performance tests, read our Zyte API review.

4. Decodo (formerly Smartproxy)

Affordable scrapers for G2.

9.3/10 ⭐

Try 100 MB for free.

Pricing model: subscription; based on successful requests (Web Scraper API, Site Unblocker) or traffic (Site Unblocker)
Data parsing: yes
Free trial: 7-day free trial with 1K results & 14-day money-back guarantee
Pricing starts from:
– Web Scraper API: Core Subscription starts at $29 for 100K requests ($0.29/1K); Advanced subscription starts at $50 for 25K results ($2/1K)
– Site Unblocker: $24 for 2 GB ($14/GB) or $34 for 15K requests ($2.25/1K)

Decodo is known for affordable but quality products, and its scrapers are one of them. The provider has two options for scraping G2 – Web Scraping API and Site Unblocker.

Web Scraper API is a general-purpose scraper with lots of customizations available. Saved templates will be useful if you’re planning to scrape G2 often. Additionally, there’s a built-in data parser and an API playground for live-testing your scraping requests.

In terms of performance with G2, Decodo showed decent results – a 83.95% success rate and a response time of 6.92 seconds on average. While it’s not as successful as other scrapers, it’s quite fast and offers a great cost-to-value ratio.

The provider also offers a proxy-based Site Unblocker – another general-purpose scraper. It has great location filtering and flexible parameter adjustment. A great thing about Site Unblocker is its pricing – you can choose to pay for traffic or successful requests.

For more information and performance tests, read our Decodo review.

5. Oxylabs

G2 scraper with an AI-powered assistant.

9.3/10 ⭐

Use the code proxyway35 to get 35% off your first purchase.

Pricing model: subscription
Data parsing: yes
Free trial: 7-day trial with 5K results
Pricing: starts from $49 for 24,500 results ($2/1K)

Another proxy provider – Oxylabs – has been strongly shifting their focus toward data extraction service. The provider offers a general-purpose Web Scraping API for collecting G2 data.

The API comes with all the premium features you’d expect – a web crawler, a task scheduler, an API playground for testing, and more. While there’s no dedicated parser for G2, you can create your own parsing logic using XPath and CSS selectors. The results can be fetched to your Amazon S3 bucket or Google Cloud Storage.

However, the key feature is Oxylabs’s OxyCopilot. It’s an AI-powered assistant that automatically generates code for scraping requests and parsing instructions – it will be especially useful for creating a custom G2 parser. You can try this tool in the Scraper API playground.

When testing Web Scraper API, we noticed that Oxylabs loses some performance. It took over 27 seconds for the tool to open G2, and the success rate was consistently around 87%.

Even though Oxylabs caters to enterprise-level clients, the tool’s price was very accessible, starting at $2 for 1,000 results. Sadly, there’s no option to pay as you go, but you can try Web Scraper API with a free 7-day trial with 5,000 results.

For more information and performance tests, read our Oxylabs review.

6. Bright Data

The most versatile G2 data provider.

9.3/10 ⭐

Add up to $500 to your account and get double the amount.

Pricing model: PAYG, subscription
Data parsing: yes (web scraper API)
Free trial: 7-day free trial for companies
Pricing starts from:
– Web Unlocker: $3 for 1K records
– Web Scraper API: $1 for 1K records
– Datasets: $500 for 200K records ($2.5/1K)

Bright Data is best known for proxies, but it also has a large data collection infrastructure. The provider offers three methods for collecting G2 data – Web Unlocker, a Web Scraper API with dedicated endpoints, and G2 datasets.

Pre-collected datasets are great for people looking for structured information without the need to scrape it. You can also request custom datasets that are suited to your needs.

Additionally, the provider offers two specialized G2 scraping APIs – G2 software product reviews and G2 software product overview. The product has great features, such as a web crawler, an option to send unlimited concurrent requests, and more. The tool can deliver results via Webhook or an API to your preferred external storage in JSON or CSV.

After testing Bright Data’s Web Unlocker – a general-purpose scraper that integrates as a proxy server. It was third most successful in opening the G2 website. However, the provider definitely prioritizes success over speed – on average, it took 26.80 seconds for Web Unlocker to unblock G2.

In terms of pricing, Bright Data is a premium provider, so the starting price is higher than average. The starting price is decent if you choose to pay-as-you-go, but if you’re working on a bigger project, the smallest monthly subscription will cost you $499.

For more information and performance tests, read our Bright Data review.

Isabel Rivera

Caffeine-powered sneaker enthusiast

April 23, 2025

The post The Best G2 Web Scrapers of 2025 appeared first on Proxyway.

Best Walmart Scrapers to Use in 2025

Isabel Rivera — Tue, 07 Jan 2025 08:22:19 +0000

Best

Walmart is one of the biggest retailers in the U.S. that operates both physically and online. The vendor offers product varieties ranging from groceries to electronics and pharmaceutical products, and is estimated to serve around 37 million customers every day. Walmart’s online store can be an excellent place to collect data for other e-commerce businesses for analyzing pricing, product variety and availability, and competitiveness. If you’re looking to scrape Walmart product listings, prices, or reviews, you’ll need a capable web scraping tool to assist you. In this article, you’ll find the best Walmart scrapers currently available on the market.

The Best Walmart Scrapers of 2025:

1. Decodo (formerly Smartproxy) – affordable and performant scrapers for Walmart.

Try 100MB for free>

2. Oxylabs – performant scraper for Walmart with an AI assistant.

Use the code proxyway35 to get 35% off>

3. Zyte API – the fastest Walmart scraper with flexible pricing.

Visit Zyte>

4. ScraperAPI – Walmart scraper for small-scale projects.

Visit ScraperAPI>

5. Bright Data – Walmart scrapers with robust infrastructure for enterprise.

First deposit matched up to $500>

What Is Walmart Scraping?

In simple terms, Walmart scraping refers to the automated process of collecting data from Walmart’s website. This data can include product information, prices, reviews, and other information, providing insights for individual shoppers or businesses.

Walmart’s website contains publicly available information, so it can be scraped legally if done ethically. However, always remember to respect Walmart’s terms of service and robots.txt file in order to avoid violating any policies. Also, ensure you do not scrape copyrighted material without permission.

What Data Can You Scrape from Walmart?

Walmart offers many types of data that can be used by individuals and companies alike. While people might benefit from different types of information, some common types of typically scraped Walmart data include:

Product prices. These are useful for price comparison, tracking market trends. Businesses can analyze Walmart’s pricing strategy to adjust their own. Individuals can compare prices among several products in the category to find the best deal.
Discounts and bundle deals. Tracking various offers and deals can help identify the best current price for specific items or product assortment.
Product descriptions and details. Information like descriptions help users find specific products or gather specifications for comparison shopping. Businesses can figure out product varieties and existing niches.
Customer reviews and ratings. Walmart’s online store listings have user reviews and star ratings that not only can help other customers make decisions about purchases, but can also provide companies with data to evaluate consumer behavior, or conduct product analysis.
Stock availability. Competitors can easily track products in demand. Individuals can check if preferred products are available.

In addition to scraping specific Walmart product categories, you can also collect data about their services, extract seasonal data from holiday categories, scrape all current discounted items, and more.

What to Look for in a Walmart Scraper?

Choosing the right Walmart scraper is critical if you want to collect data efficiently. When choosing which tool to use, consider the following factors:

Dynamic content support. Walmart uses JavaScript to load some dynamic product details, so your scraper should handle JavaScript content if needed.
Data parsing capabilities. Not all scrapers come with built-in parsers, so look for one that can clean and structure collected data into useful formats automatically. It will save you time on manipulating and analyzing it later.
Integration options. Some providers offer scrapers that integrate as APIs, while others rely on proxy setups. While neither is better than the other, the features might differ.
Geolocation coverage. Walmart might display region-specific data, for example different product listings in different U.S. states. Take some time to check if your scraper supports geotargeting to access and collect the relevant information for your project.
Pricing and scalability. Choose a scraper with pricing that matches your project’s scale. For smaller projects, credit-based models might be better, while larger projects could benefit from traffic-based options. Also, check the price modifiers – some providers charge extra for features like JavaScript rendering.
Output formats. Some scrapers offer multiple output formats to suit your preferences. Check what formats the prover offers, as some might have a few different options, while others can only send back unstructured HTML data.

The Best Walmart Scrapers for 2025

1. Decodo (formerly Smartproxy)

Affordable and performant scrapers for Walmart.

9.3/10 ⭐

Try 100 MB for free.

Locations: 150+ locations with country-level targeting
Pricing model: subscription; based on successful requests
Data parsing: yes
Free trial: 7-day free trial with 1K results & 14-day money-back guarantee
Pricing starts from:
– Core Subscription: $29 for 100K results ($0.29/1K)
– Advanced Subscription: $30 for 15K results ($2/1K)

Decodo offers several good quality scraping tools, and Decodo’s eCommerce Scraping API is ideal for scraping Walmart.

A dedicated scraper like eCommerce Scraping API is designed to extract e-commerce data, such as pricing, listing information, reviews, and more. While Walmart wasn’t a difficult target for most tested scrapers, Decodo delivered the best results. It had a 99.98% success rate in opening Walmart, and it only took the tool around 3.80 seconds on average to do so.

Decodo’s eCommerce Scraper API is highly customizable, and comes with many features necessary for scraping Walmart. It has great geo-location coverage, as well as typical features you’d expect in a dedicated scraper

This API has pre-made templates for you to use, but you can also save custom templates with your preferred parameters if you’re planning to scrape Walmart regularly. Moreover, you can schedule tasks ahead of time. You can also use an API playground for live testing. However, these features are only available with the Advanced subscription.

That said, the API has limited targeting options – you can only target specific countries, so it could be difficult to access state- or city-specific products. However, the tool has a manual built-in parser, so data cleaning and structuring will be much easier.

Decodo’s products are quite affordable, so you can get an eCommerce Scraper API subscription for $50 which includes all of its useful features. But, if you’re budget-conscious, you can opt for a Core subscription – a cheaper version of the tool that lacks some of the key features.

For more information and performance tests, read our Decodo review.

2. Oxylabs

Performant scraper for Walmart with an AI assistant.

9.3/10 ⭐

Use the code proxyway35 to get 35% off your first purchase.

Locations: 150+ locations with country-level targeting
Pricing model: subscription; based on successful requests
Data parsing: yes
Free trial: 7-day free trial with 5K results
Pricing starts from: $49 for 24,500 results ($2/1K)

Oxylabs has been shifting their focus toward data extraction services, so the provider has a strong and highly reliable web scraping infrastructure. We tested its general-purpose Web Scraping API, and the tool showed outstanding performance – the response time was less than 3 seconds, and the success rate was well over 99%.

The API is packed with many features you’d expect from a Walmart scraper as well as a parser that you can create using XPath and CSS selectors. The scraper offers broad geo-location coverage, but you won’t be able target individual cities or coordinates. Oxylabs also allows you to schedule tasks, and it’s one of the few providers that have an integrated web crawler to fetch all necessary Walmart pages.

Oxylabs’s key feature is an AI-powered assistant OxyPilot. You can use it to auto-generate code for scraping requests and parsing instructions to reduce manual code writing. You can find and use this feature in the Scraper API Playground.

Oxylabs’s prices can appear to be slightly higher than average since it’s a premium provider. However, you can still get great deals if your needs are smaller – Oxylabs offers regular and enterprise plans for both products to suit a variety of customers, making this tool rather affordable. While there’s no pay-as-you-go option, you can test the tool with a free 7-day plan with 5,000 results.

For more information and performance tests, read our Oxylabs review.

3. Zyte

The fastest Walmart scraper with flexible pricing.

8.8/10 ⭐

Locations: 150+ locations with country-level targeting
Pricing model: PAYG, subscription
Data parsing: yes
Free trial: $5 platform credits for 30 days
Pricing: custom

Zyte is one of the most popular names in the scraping industry, and it’s not for nothing – Zyte API is highly efficient and fast when scraping targets like Walmart.

Zyte API can be integrated as an API or a proxy server, and is packed with useful features and great geo-location coverage with country-level targeting. Additionally, you can write and combine your own interaction scripts in a cloud-hosted VS Code environment. Zyte relies on AI for unblocking, crawling, and parsing data. While there’s no built-in parser, you can fine-tune your parsing logic manually by using CSS selectors, as well as an API playground to test and generate code snippets.

The performance of the scraper is outstanding – it is the fastest scraper that we tested with a response time of 2.31 seconds. While the average success rate is slightly lower – 96.22% – it’s still a fantastic result.

What’s interesting about Zyte’s pricing is its flexibility, so the starting price can be as low as $1 for short and simple projects. However, features like JavaScript rendering or data parsing will cost you extra. Luckily, you can figure out an approximate cost of your project on the website. There’s also a free trial with $5 platform credits.

For more information and performance tests, read our Zyte review.

4. ScraperAPI

Walmart scraper for small-scale projects.

Locations: US & EU (50+ countries available upon request)
Pricing model: subscription; credit-based
Data parsing: yes
Free trial: 7-day free trial with 5K credits
Pricing: starts from $49 a month (100K API credits)

ScraperAPI offers a general-purpose web scraper that excels in scraping Walmart. The scraper supports four integration methods: as a proxy server, through an SDK, via open connection, or asynchronous integration.

Performance-wise, it did exceptionally well – the average success rate was nearly 100%, and the response time was just over 5 seconds. The API also has Walmart search, product, category, and review scrapers available that will deliver structured data via Webhook or text file in JSON or CSV for you.

On the downside, ScraperAPI isn’t a proxy provider, so the geo-location coverage is limited, though you can request extra countries if necessary. Sadly, country-level targeting is only available with the most expensive plan.

ScraperAPI is affordable, so you can get a lot of API credits even with the cheapest plan. However, be wary of price modifiers – more requests to targets that ScraperAPI defines as complex will increase the number of credits used. Other than that, it’s a good choice for smaller-scale projects.

5. Bright Data

Walmart scrapers with robust infrastructure for enterprise.

9.3/10 ⭐

Add up to $500 to your account and get double the amount.

Locations: 150+ locations with city & ASN-level targeting
Pricing model: PAYG, subscription; based on successful requests
Data parsing: yes (for specialized scraper API)
Free trial: 7-day free trial for companies
Pricing starts from:
– Web Unlocker: $3 for 1K results
– Specialized web scraper API: $1 for 1K results
– Datasets: $500 for 200K records ($2.5/1K)

Bright Data offers multiple methods to collect Walmart’s data. You can choose from a general-purpose Web Unlocker, a web scraping API with a dedicated endpoint for Walmart, or a dataset.

Bright Data has one of the stronger scraping infrastructures. The proxy-based Web Unlocker showed an almost 100% success rate, and a response time of 5.20 seconds, and that’s not all it has to offer. This tool is one of the few proxy-based APIs that offers up to ASN-level targeting.

The provider also has a large Web Scraper API library where you can find a scraper API with a specialized endpoint to scrape Walmart’s product selection. We didn’t have the chance to test it, but it’s packed with versatile features. The tool can deliver parsed results via Webhook or an API to your preferred external storage in JSON or CSV.

If you’re looking for a no-scrape option, Bright Data is one of the few providers that offer pre-collected datasets. You can get fresh Walmart data in your preferred format: CSV, JSON, XLSX, ndJSON, and have it delivered via Google Cloud, PubSub, Azure, or other methods.

As a provider serving enterprise customers, Bright Data’s pricing tends to be slightly higher. You can get started for as low as $1, but getting a Web Unlocker, Web Scraper API, or a Walmart dataset subscription will cost you at least $499 per month.

For more information and performance tests, read our Bright Data review.

6. Rayobyte

Walmart scrapers with robust infrastructure for enterprise.

8.6/10 ⭐

Use the code proxyway to get 5% off.

Locations: 150+ locations with country-level targeting
Pricing model: PAYG; credit-based
Data parsing: yes
Free trial: free trial with 5K scrapes available
Pricing: starts from $1.8 for 1K results

Rayobyte is a great choice for individuals and small businesses looking for an affordable but capable Walmart scraper.

Don’t let the low price fool you – Scraping Robot is packed with great features necessary for scraping Walmart. There’s also a built-in parser which will allow you to get your structured results in JSON, CSV or an Excel file. The provider also has a list of useful features planned for the future – ability to send POST requests, option to make screenshots, Webhook callbacks, and more.

Rayobyte’s scraper also performed well in our tests – it achieved an average success rate of 97.32% when opening Walmart. However, it was significantly slower compared to the competition.

Since Rayobyte focuses on smaller clients, the prices are very appealing – you can scrape Walmart for as low as $1.8 for 1000 results. Interestingly, the provider doesn’t offer subscriptions for Scraping Robot, so you’ll pay as you go with the credits you added to your account.

For more information and performance tests, read our Rayobyte review.

7. Nimbleway

AI-powered scraper for Walmart.

8.7/10 ⭐

Locations: 150+ locations with country, state, and city-level targeting
Pricing model: PAYG, subscription; credit-based
Data parsing: yes
Free trial: available
Pricing: starts from $3 per 1K results

Nimbleway is one of the providers that use AI to improve their product service. The provider offers a general-purpose API with AI features for scraping Walmart – Web API.

Nimbleway is among the few providers offering state- and city-level targeting, which can be useful for scraping Walmart as it can give you easier access to region-specific items. It’s also easy to scale up your project – the provider supports batch processing which allows scraping up to 1000 URLs at the same time.

In our tests, Nimbleway’s Web API achieved a nearly perfect average success rate – 99.98%. However, it’s clear that the provider prioritizes success over speed, since the tool’s response time was over 11 seconds. Nevertheless, it does an excellent job scraping Walmart at large.

The provider’s entry price is steeper compared to the average since Nimbleway focuses on enterprise clients, but there are multiple ways to pay for the service – pay-as-you-go or a subscription. However, smaller subscription tiers don’t include custom JavaScript and header control, and unlimited concurrent requests are only available with the two most expensive plans.

For more information and performance tests, read our Nimbleway review.

Isabel Rivera

Caffeine-powered sneaker enthusiast

April 23, 2025

The post Best Walmart Scrapers to Use in 2025 appeared first on Proxyway.

The Best Company Data Providers of 2025

Isabel Rivera — Mon, 23 Dec 2024 11:29:17 +0000

Best

Company data is a valuable resource for businesses looking to drive growth or simply stay ahead of the competition. Whether you’re researching potential investments, tracking market trends, or diving into analytics, having access to data is a must. It’s like having a map in a treasure hunt – without it, you’re just wandering around hoping to stumble on gold.

There are several ways to tap into company information. One option is to collect data manually, but it’s a hassle – trust me. Great news – there’s a better way: you can purchase company data APIs or pre-made datasets that will provide the necessary data in just minutes. Of course, you could also build a web scraper yourself, but it requires a lot of programming knowledge and resources to get started.

So, let’s take a look at the best company data APIs and datasets, what they offer, and what you can expect.

The Best Company Data Providers of 2025:

1. Coresignal – the largest company data provider with millions of high-quality records.

Try Coresignal>

2. Bright Data – company data tools with a robust infrastructure.

Try Bright Data>

3. Oxylabs – a premium provider offering company datasets from top sources.

Use the code proxyway35 to get 35% off>

4. NetNut – over 50 million company profiles.

Use the code PWYNTNT to get a 30% discount>

5. Apify – multiple APIs with a user-friendly interface.

Visit Apify>

What is Company Data?

Company data is information about businesses that is gathered from different sources like publicly available reports, websites, public records, and databases. Here’s what is considered company data:

Basic business information: name, address, contact details, and industry classification.
Financial data: revenue, profits, funding, and debt.
Employee and executive details: employee count and organizational structure.
Business performance metrics: growth trends, market share, and other performance indicators.
Legal and compliance information: corporate filings, patents, trademarks, and legal history.

Company Data Delivery Methods: Datasets vs. APIs

There are two main ways to go about pre-scraped company data: APIs and datasets.

What Are Company Datasets?

A company dataset is a pre-compiled collection of business information that has already been cleaned and organized, so you can use it immediately upon download.

The way datasets work is simple: you select the data source, customize its scope if there’s a need or the vendor allows it, and once you’ve made the purchase, you can simply download the file. The data is ready for immediate integration.

Datasets primarily come in CSV, JSON, or SQL formats. You can often integrate them with cloud hosting providers like AWS S3, Google Cloud Storage, and others. Some providers give an option to receive the datasets periodically such as every month, quarter, or as agreed with the provider.

What is a Company Data API?

A Company Data API (Application Programming Interface) gives on-demand access to company information via an API interface. When you use an API, you send requests to a server, which then returns the relevant company data in a structured or raw format.

Instead of downloading entire datasets, API allows you to retrieve only necessary data points from a large-scale database. For example, you can filter companies by name, industry, location, and more. This limits the scope but also the expenses.

In addition to traditional company data APIs, there are also web scraping APIs. These APIs return data that is scraped from the web in real-time when you send the API request. Web scraping APIs are particularly useful for retrieving the most current or less commonly aggregated information from publicly available sources.

Differences between Company Data APIs and Datasets

Before we dive into the list, here’s a quick guide on when to choose an API versus a dataset:

	Company Data APIs	Company Datasets
Sources	Data is pulled from a variety of sources, including business registries, news, public records, databases, and company websites.	Data is typically sourced from similar business registries, public records, and third-party data providers, and is pre-compiled.
Data formats	Raw HTML, JSON, XML, CSV, or custom formats based on the API.	CSV, JSON, SQL, or other structured file formats like Excel or Parquet.
Delivery frequency	Real-time if you’re using a web scraping API or on-demand.	Typically available as a one-time download or on a set schedule (monthly, quarterly, or custom frequency).
Integration	Can be integrated into CRM systems, websites, marketing automation platforms, and internal tools through API calls.	Downloadable datasets can be manually or programmatically imported into analytics tools, databases, or cloud storage solutions.
Best for	Businesses that need real-time, dynamic access to company data for applications like CRM, lead generation, or competitive intelligence.	Ideal for in-depth analysis, market research, and situations where large, static datasets are needed for bulk analysis.

Pricing

The cost of company data APIs and datasets varies based on factors like data volume, complexity, delivery frequency, and usage. Many providers offer free trials or freemium plans with limited access to test the tools.

APIs typically offer pay-as-you-go pricing or subscription plans with volume-based discounts. Their rates range between $10–$50 per 1,000 requests.

Datasets are usually priced based on the amount of data and delivery method, with one-time purchases ranging from $100 to $5,000+, or subscription plans costing $200–$2,000/month.

The pricing models can vary considerably among providers, sometimes due to differences in how data is billed. For example, some companies may quote their prices based on credits. This model is flexible, but it can also create confusion, as the number of credits required for a single request might vary depending on the amount of data fields requested.

While some providers may appear cheaper based on their price per credit, the actual cost per record (when considering the number of fields included in each request or the type of request) might be higher than initially suggested.

To help simplify matters, some companies are now moving to clearer pricing models, such as price per record, where users know upfront what they’re paying for.

The Best Company Data APIs and Datasets

1. Coresignal

The largest company data provider with millions of high-quality records.

Data formats:
– Company Data API: JSON and CSV
– Company Data Datasets: JSON, JSONL, CSV & Parquet
Pricing model:
– Datasets: One-year contract, one-time purchase
– Data API: Subscription
Pricing structure:
– Datasets: Custom
– Data API: Credit system (for search and data collection). One credit equals one full record, including all available data fields with no hidden fees.
Support: contact form, dedicated account manager (for subscribers and dataset users), tech support
Free trial:
– Datasets: Data samples
– Data API: 200 credits for 14 days
Starting price:
– Datasets: $1,000
– Data API: $49/month

Coresignal specializes solely in data. It offers high-quality, ready-to-use company data through APIs and datasets. The provider controls a massive database of company information, with over 110 million company profiles in total.

Let’s start with datasets. Coresignal’s Company Dataset provides key company information, locations and specialties, affiliated and similar companies, company updates, investors, and funding rounds.

The more detailed, Multi-source Company Dataset includes over 300 data points per record, covering categories like financials, workforce, growth, and more. The dataset includes filtered, mapped, cleaned, and enriched information on over 35 million unique companies worldwide, drawing from multiple sources such as business directories and professional networking platforms.

In terms of data delivery methods, datasets appear to be the primary option. Company datasets are delivered in JSON, JSONL, Parquet, or CSV formats. You can choose a suitable delivery frequency, and the files are compressed in gzip with integration instructions.

Alternatively, data can be fetched via the Company Data API or Multi-source Company Data API. APIs allow you to find and retrieve data that matches specific filters or enhance the information you already have using company domains or URL slugs as identifiers. For advanced full-text search, users can opt for Elasticsearch queries.

Unlike competitors like Proxycurl, which advertise lower credit prices but require more credits to access the same data, Coresignal offers full transparency. With Coresignal, using Company API, one credit equals one full record, including all available data fields—no hidden fees or extra charges.

However, there could be some improvements to the self-service. Currently, it mainly applies to APIs, while dataset interactions are handled through sales and account management teams.

For more information and performance tests, read our Coresignal review.

2. Bright Data

Company data tools with a robust infrastructure.

9.3/10 ★

Data formats:
– Company data APIs: JSON & CSV
– Datasets: JSON, ndJSON, CSV & XLSX
Pricing model:
– Web Scraper API: subscription or pay as you go
– Datasets: one-time purchase, or biannual, quarterly, monthly
Pricing structure: based on records
Support: 24/7 via live chat, dedicated account manager
Free trial: 7-day trial for businesses, 3-day refund for individuals
Starting price:
– Web Scraper API: $1/1K records or $499 if you subscribe ($0.85/ 1K records)
– Datasets: $500 for 200K records ($2.50/1k records)

Bright Data is another great provider that offers company datasets and web scraping APIs with dedicated endpoints for company websites like LinkedIn, Crunchbase, Indeed, Glassdoor, and G2, and.

Let’s start with datasets. You can download a data sample in JSON or CSV format, which includes 30 records. But the full dataset will contain 1,000 records. Also, there’s an option to create a custom subset by removing or renaming fields and filtering the dataset according to your specific requirements.

You can select from formats like JSON, CSV, Parquet or go for .gz compression. Bright Data also offers flexible delivery options: Snowflake, Amazon S3, Google Cloud, Azure, and SFTP. The provider allows you to automate data delivery on a custom schedule – daily, weekly, monthly, or quarterly.

Bright Data’s web scraper API delivers real-time data and comes with ready-made scrapers for various company websites. You can enter up to 20 URLs when scraping in real time or many more when batching requests , regardless of the scraper type.

The provider offers several delivery methods like Amazon S3, Google Cloud Storage, Google PubSub, Microsoft Azure Storage, Snowflake, and SFTP. You can get the data in formats like JSON, NDJSON, JSON lines, CSV, and .gz files (compressed). The API allows you to manage data collection progress, set record limits per input, and monitor snapshots, while adhering to system limitations on file sizes and delivery options.

What else you’ll get if you stick to this provider? An interactive playground, good documentation, and a dedicated account manager for subscription-based plans.

For more information and performance tests, read our Bright Data review.

3. Oxylabs

A premium provider offering company datasets from top sources.

9.3/10 ★

Use the code proxyway35 to get 35% off your first purchase.

Data formats:
– Company data APIs: HTML & JSON
– Datasets: XLSX, CSV & JSON
Pricing model:
– Web Scraper API: based on successful requests
– Datasets: not disclosed
Pricing structure: subscription
Support: 24/7 via live chat, dedicated account manager (datasets)
Free trial:
– Web Scraper API: one week trial with 5K results
– Datasets: contact sales
Price:
– Web Scraper API: $49/month ($2/1K results)
– Datasets: from $1000/month

Oxylabs is a premium provider offering company datasets from top sources like Owler, AngelList, Crunchbase, and others. You can also get its Web Scraper API for real-time data from targets like Zoominfo and Product Hunt.

The provider supports various output formats, including XLSX, CSV, JSON, and more. You can store these datasets in several storage options, such as AWS S3, Google Cloud Storage, SFTP, and others. Additionally, you can select the frequency at which you’d like to receive the datasets – monthly, quarterly, or according to a custom schedule.

With the company scraper API you need to provide the necessary parameters and the target URL. Then, send the request to our API and receive the results in HTML format.

You can also receive results via API or to your cloud storage bucket (AWS S3 or GCS). The scraper includes custom parser, web crawler, and scheduler features.

The API features OxyCopilot, which converts natural language instructions into API code for Python, Node.js, and more. This makes it quicker and simpler to integrate and use the API, even if you don’t have advanced coding skills. Oxylabs also provides expert support, a dedicated account manager, and detailed documentation.

As a premium provider, Oxylabs can be quite expensive, so be prepared to pay a premium price for its high-quality data.

For more information and performance tests, read our Oxylabs review.

4. NetNut

Over 50 million company profiles.

9.0/10 ★

Use the code PWYNTNT to get a 30% discount.

Data formats: CSV & JSON
Pricing model: based on successful results
Pricing structure: subscription
Support: 24/7 via email, live chat, phone
Free trial: available
Price: custom

NetNut provides a Company Dataset with access to over 50 million company profiles. The dataset is available in CSV and JSON formats, and is compatible with a variety of analytical tools. These datasets can be stored in cloud services such as AWS S3 and Google Cloud, with flexible delivery schedules, including monthly and quarterly options.

NetNut offers subscription plans for 3, 6, and 12 months. For more information, it’s best to contact the provider’s sales team.

Additionally, NetNut has a LinkedIn Scraper API that allows users to extract detailed LinkedIn company information, such as names, job titles, and company sizes, in real time. The API delivers clean, structured data.

To learn more about NetNut’s datasets, you’ll need to contact their sales team. While you can reach out via live chat, be aware that responses are automated, and the chatbot doesn’t provide much assistance. A real person is available, but you won’t get a hold of them easily.

For more information and performance tests, read our NetNut review.

5. Apify

Multiple APIs with a user-friendly interface.

Data formats: JSON, CSV, XML, RSS, JSONL & HTML table
Pricing model: based on usage
Pricing structure: subscription
Support: contact form
Free trial: a free plan with $5 platform credits is available
Price: custom (rental, pay per: result, event, or usage); or $49/month

Apify is a well known provider that has thousands of pre-made templates for various websites like LinkedIn, Apollo, Trustpillot, and others. But the provider also has quite note-worthy APIs, so called Actors.

Actors on the Apify platform are serverless cloud programs that execute tasks based on scripts, similar to how human actors perform actions.

Apify’s Actors come with an easy-to-use interface and flexible settings, so you can run them via API or keep them ready for real-time. This means you are able to quickly handle incoming requests, just like a standard API server, without the need for complex setup or technical expertise.

Data from each Actor run is saved in separate datasets, typically created during web scraping, crawling, or data processing tasks. These datasets can be exported in various formats, including JSON, CSV, XML, Excel, HTML, RSS, or JSONL, and visualized as tables.

In terms of pricing, you can try individual actors for a specific fee (each actor has a different cost) or subscribe to a monthly plan.

6. Proxycurl

Company data from LinkedIn.

Data formats: JSON & Parquet
Pricing model: annual plans with a monthly payment option
Pricing structure: credit system (1-10 credits/request, even if no results are returned)
Support: live chat
Free trial: 2 months free credits for subscription or annual plan
Price starts from:
– LinkedIn Dataset: $2000/month for global company data or one-time upfront $12000.
– Company API: you can pay as you go $10 for 100 credits (0.1/credit) or subscribe to a monthly plan starting from $49/month with 2,500 credits.

Proxycurl is another data service that sells company data. It offers Company API and LinkedIn Dataset.

LinkDB – Proxycurl’s LinkedIn dataset – has over 472 million public LinkedIn profiles. It serves as the data backbone for API endpoints by retrieving data from this database. Users can search for more than 19 million company profiles using 21 data attributes and Boolean logic (e.g., combining conditions like AND, OR, and NOT to narrow or expand search results).

The provider lets you integrate LinkedIn’s dataset directly into your applications with the Company Search API Endpoint. In terms of data delivery options, you can get data in JSON format for real-time queries or as bulk datasets in Parquet format. The dataset can be stored only via Proxycurl’s API.

The Company API includes endpoints like company profile, employee listing and count, company profile picture, company lookup, and employee search. It provides over 40 data points, though it primarily leverages information from LinkedIn.

Proxycurl offers only annual plans, with the option to choose monthly payments or pay the full sum upfront.

While the pricing per request appears competitive at first glance, costs can increase depending on the endpoint and optional parameters you use. For example, Employee Search Endpoint (Company API) costs 10 credits/successful request and an additional 6 credits per employee returned. Credits are also charged even if a successful request returns an empty result.

Isabel Rivera

Caffeine-powered sneaker enthusiast

April 8, 2025

The post The Best Company Data Providers of 2025 appeared first on Proxyway.

The Best Indeed Scrapers of 2025

Isabel Rivera — Fri, 13 Dec 2024 15:17:37 +0000

The Best Indeed Scrapers of 2025

Indeed stands out as one of the largest job sites globally. With nearly 600 million job seekers and over 3.5 million employers registered on the platform, it’s the go-to website to use if you’re looking for a job or offering one. However, the listings can be valuable not only for employment purposes but also for businesses gathering market intelligence. Here’s where web scraping steps in.

It goes without saying that collecting millions of job postings manually isn’t very resource-friendly, and it can also be error-prone. In this article, you’ll find a list of the best automated Indeed data collection options currently available on the market.

The Best Indeed Scrapers of 2025:

1. Decodo (formerly Smartproxy) – affordable and performant scrapers for Indeed.

Try 100MB for free>

2. NetNut – the fastest Indeed scraper.

Use the code PWYNTNT to get a 30% discount>

3. Bright Data – premium Indeed scrapers.

First deposit matched up to $500>

4. Oxylabs – performant AI-powered scrapers for Indeed.

Use the code proxyway35 to get 35% off>

5. Infatica – affordable Indeed scraper for small businesses

Use the code proxyway2024 to get 20% off your first purchase>

What Is Indeed Scraping?

In essence, Indeed scraping refers to the process of collecting data from Indeed’s website automatically. This data can be anything from job titles to salary ranges. Individuals and organizations can both benefit from data like:

Job titles and descriptions. Can help find relevant jobs based on keywords in job titles and descriptions.

Salary ranges. Can provide information about the average salary ranges in specific job categories. Businesses can benefit from this data to make adjustments to their own offers.

Company ratings and reviews. Helps look for job listings in high-rated companies. Organizations can use ratings and user reviews to analyze user sentiment about competitors and partners.

Time of posting. Increases the chance of finding the newest job postings.

Employment type. Helps look for specific employment opportunities (full-time, part-time, on-site, remote, etc.)
Company information. Collect information about hiring companies – their website, contact information, location, and more.

Can You Scrape Indeed Data?

Information on Indeed’s website is public, and therefore, can be scraped legally. Nevertheless, it’s important to do so respectfully and follow ethical scraping practices.

Apart from being respectful to the website owners, you should also check Indeed’s terms of use and robots.txt file. It will help you familiarize yourself with which sites you can access and what data you can scrape without violating any policies. Additionally, keep in mind that some data on the website can be protected by copyright laws (i.e., images).

What to Look for in an Indeed Scraper?

While there are many tools capable of scraping Indeed on the market, not all are created equal. There are several factors to consider when choosing an Indeed scraper if you plan to work efficiently:

Data parsing capabilities. Some scrapers have built-in parsing features that automatically organize the scraped data. Choosing a scraper with parsing capabilities can save you time by reducing the need for manual data cleaning and structuring.

Integration methods. Some scrapers integrate as APIs over an open connection, while others – as proxy servers. Neither option is inherently better; it ultimately depends on your preference, though the available features may vary.

Location and targeting options. Proxy providers often offer global location coverage, but other companies may not. Consider which locations are relevant to you, and make sure your selected scraper has them. Moreover, if you need precise targeting (i.e., targeting specific cities), check if the provider offers this feature.

Pricing model and modifiers. Different providers offer varying pricing models for their scrapers. Depending on the scale of your project, you should choose between credit-based and traffic-based models. Additionally, be mindful of price modifiers – some providers charge extra for specific features (e.g. JavaScript rendering, requests per minute, output formats.)

Your project’s scale. Consider how much scraping you’re planning to do before committing to a provider. Some providers have high entry prices, but the cost significantly drops if you purchase more traffic or credits. By evaluating your needs, you’ll be able to determine which scraper offers the best cost-to-value ratio.
Output formats. Some providers offer multiple data output formats for your convenience. Typically, you’ll find JSON as one of them, but some providers offer more formats, while others – only raw HTML.

The Best Indeed Scrapers

1. Decodo (formerly Smartproxy)

Affordable and performant scrapers for Indeed.

9.3/10 ★

Try 100 MB for free.

Locations: 150+ locations with country-level targeting
Pricing model: subscription; based on successful requests (Web Scraper API) or traffic (Site Unlocker)
Data parsing: yes
Free trial: 7-day free trial with 1K results & 14-day money-back guarantee
Pricing starts from:
– Web Scraper API: $50 for 25K results ($2/1K)
– Site Unblocker: $24 for 2 GB ($14/GB)

Decodo is known for affordable but quality products, and its scrapers are one of them.

Web Scraper API is a general-purpose scraper that can integrate as an API and deliver results via open connection, or integrate as a proxy server. Performance-wise, Decodo’s tool is more than capable. It had a 100% success rate in opening Indeed, and did it almost instantaneously – it took the tool around 3.38 seconds on average.

Decodo’s Web Scraper API is highly customizable. Once you set specific parameters, you can save the template for future use. The dashboard is intuitive and easy to navigate even if you don’t have much experience with scraping. There’s also an API playground for live testing. Overall, it’s a well-rounded product.

Unfortunately, Web Scraper API has limited targeting options – you can only target specific countries, which could be an issue if you’re scraping Indeed’s job listings in specific cities. But it does include a manual built-in parser which will make data cleaning easier.

In addition, the provider also offers another general-purpose scraper – Site Unblocker – that integrates as a proxy server. It comes with flexible location filtering, the option to send custom cookies and request headers, and JavaScript rendering. It also automates proxy and browser fingerprint management which will be useful for scraping Indeed.

As for pricing, Decodo is a mid-tier provider meaning that the prices are quite competitive. You can get a regular Web Scraper API subscription for $50 which includes all of its useful features, or opt for a cheaper Core subscription if you’re willing to sacrifice some key features, like JavaScript rendering. Site Unblocker charges per traffic, making it a more affordable option if you’re not planning to scrape on a large scale.

For more information and performance tests, read our Decodo review.

2. NetNut

The fastest Indeed scraper.

9.0/10 ★

Use the code PWYNTNT to get a 30% discount.

Locations: 150+ locations with country-level targeting
Pricing model: subscription; based on successful requests
Data parsing: no
Free trial: 7-day free trial for companies
Pricing starts from: custom

NetNut is an enterprise-oriented provider, mainly known for its proxies, but it also offers a general purpose scraper – Web Unblocker – that is fully capable of targeting Indeed.

NetNut’s scraper integrates as a proxy server. It comes with a variety of features like JavaScript rendering, browser header customization, and multiple location options.

In our tests, NetNut’s Website Unblocker showed unmatched performance results. It managed to successfully open Indeed every time and did so rapidly – in less than 3 seconds on average.

Unfortunately, targeting options for Website Unblocker are limited – you can only target countries, so scraping Indeed listings in specific cities won’t be available. Additionally, the scraper doesn’t have an in-built parser.

The provider doesn’t disclose the price of Website Unblocker, so you’ll need to reach out to NetNut to get an offer. On the bright side, there’s a 7-day free trial available for companies if you want to see if this product is worth it.

For more information and performance tests, read our NetNut review.

3. Bright Data

Premium Indeed scrapers.

9.3/10 ★

Add up to $500 to your account and get double the amount.

Locations: 150+ locations with city & ASN-level targeting
Pricing model: PAYG, subscription; based on successful requests
Data parsing: yes (for specialized scraper API)
Free trial: 7-day free trial for companies
Pricing starts from:
– Web Unlocker: $3 for 1K results
– Specialized web scraper API: $1 for 1K results
– Datasets: $500 for 200K records ($2.5/1K)

Bright Data is a well-known name in the proxy and data extraction market. The provider offers multiple ways to scrape Indeed. Namely, a general-purpose Web Unlocker, and a Web scraping API with two dedicated endpoints for Indeed.

Bright Data has one of the stronger scraping infrastructures. The proxy-based Web Unlocker showed an excellent success rate, and a response time of 4.67 seconds, and that’s not all it has to offer. This scraper is one of the few proxy-based APIs that offer precise targeting – it allows you to target specific cities and ASNs, which can be very useful.

The provider also has a large Web Scraper API library which has two specialized APIs for Indeed – one for scraping job listings, and one for company information. We didn’t have the chance to test these products, but Bright Data’s scrapers rarely disappoint.

For a no-code option, you can also purchase Indeed datasets. The provider offers two choices: buying a pre-built Indeed dataset or customizing one using various filters. You can retrieve the data in your preferred format (CSV, JSON, XLSX, ndJSON), and have it delivered via Google Cloud, PubSub, Azure, or other methods.

As a provider serving customers with large scraping needs, Bright Data’s pricing is often higher than average. You can get started with Web Unlocker for $3 per 1,000 results, but committing to the cheapest subscription will cost you a hefty $499 per month.

For more information and performance tests, read our Bright Data review.

4. Oxylabs

Performant AI-powered scrapers for Indeed.

9.3/10 ★

Use the code proxyway35 to get 35% off your first purchase.

Locations: 150+ locations with country-level targeting
Pricing model: subscription; based on successful requests (Web Scraper API) or traffic (Web Unblocker)
Data parsing: yes, for Web Scraper API
Free trial: 7-day free trial for Web Unblocker or a free 7-day trial with 5K results for Web Scraper API
Pricing starts from:
– Web Scraper API: $49 for 24,500 results ($2/1K)
– Web Unblocker: $75 for 5 GB ($15/GB)

As a premium provider, Oxylabs has a strong and highly reliable web scraping infrastructure. Its general-purpose Web Scraping API showed excellent performance in scraping Indeed.

The scraper comes with all the essential features: JavaScript rendering, anti-bot bypass methods, the ability to create unique HTTP headers and browser fingerprints, and a custom parser. You can also create custom headers and cookies, too. While the scraper offers broad geo-location coverage, you cannot target individual cities or coordinates when scraping Indeed.

The key feature of Oxylabs’s scraper is the AI-powered assistant, OxyPilot, which auto-generates code for scraping requests and parsing instructions. You can find and use this feature in the Scraper API Playground.

Oxylabs also offers a proxy-based API – Web Unblocker. The tool allows customizing headers and cookies, bypassing CAPTCHAs, and supports JavaScript rendering. We tested this tool before, and it showed very promising results – an average success rate of 99% and response time of 3.99 seconds.

Oxylabs’s pricing depends on successful requests or traffic, depending on which product you choose. The prices are higher than average, but still relatively affordable. What’s nice is that Oxylabs offers regular and enterprise plans to suit customers with different scraping needs. Unfortunately, there’s no pay-as-you-go option for either product.

For more information and performance tests, read our Oxylabs review.

5. Infatica

Affordable Indeed scraper for small businesses.

8.7/10 ★

Use the code proxyway2024 to get 20% off your first purchase.

Locations: 150+ locations with country-level targeting
Pricing model: subscription; credit-based
Data parsing: no
Free trial: 7-day free trial with 5K results
Pricing starts from:
– Web Scraper API: $25 a month (250K API credits)
– Datasets: unknown

Infatica is known for its residential proxies, but it also offers web scraping services. Its Web Scraper API is a general-purpose scraper that showed great results with Indeed.

Web Scraper API has all the typical features you’d expect from a scraper – JavaScript rendering, ability to customize browser headers, CAPTCHA-solving capabilities, and broad geo-location coverage. However, it lacks some more advanced features like data parsing or precision targeting.

For no-code scraping, Infatica also offers datasets, but the provider doesn’t specify which records they have. You’ll have to contact sales to ask for specific datasets and their prices.

The provider’s prices are affordable because Infatica targets smaller businesses. Although there’s no pay as you go, you can start scraping for as low as $25 a month with up to 250K monthly requests.

For more information and performance tests, read our Infatica review.

6. ScraperAPI

Indeed scraper for customers with small needs.

Locations: US & EU (50+ countries available upon request)

Pricing model: subscription; credit-based

Data parsing: yes

Free trial: 7-day free trial with 5K credits

Pricing: starts from $49 a month (100K API credits)

ScraperAPI offers a general-purpose web scraper that is quite efficient in scraping Indeed.

The provider’s scraper supports four integration methods: as a proxy server, through an SDK, via open connection, or asynchronous integration.

Along with typical features like anti-bot bypass systems and JavaScript rendering, the provider also includes a built-in parser that delivers structured data in JSON format. On the downside, ScraperAPI isn’t a proxy provider, so the geo-location coverage is limited. Not to mention that country-level targeting is only available with the most expensive plan.

ScraperAPI has decent pricing, and you get a lot of API credits even with the basic plan. However, more requests to complex targets will increase the number of credits used. Even though Indeed While Indeed wasn’t a difficult target for ScraperAPI to tackle, keep in mind that the product can get much more expensive if you plan to scrape on a large scale.

7. Nimbleway

Powerful AI-based Indeed scraper.

8.7/10 ★

Locations: 150+ locations with country, state, and city-level targeting
Pricing model: PAYG, subscription; credit-based
Data parsing: yes
Free trial: available
Pricing: starts from $3 per 1K results

Nimbleway is a provider with a strong focus on enhancing its tools through AI. The Web API, ideal for scraping Indeed, is one of them.

Web API includes all the features you’d expect from an Indeed scraper. It supports JavaScript rendering, customizable browser headers, CAPTCHA-solving, anti-bot bypass technology. Notably, Nimbleway is among the few providers offering city-level targeting, which is very useful for scraping listings on Indeed. Additionally, scaling your project is straightforward – the provider supports batch processing which allows scraping up to 1000 URLs at the same time.

In our tests, Nimbleway’s Web API achieved a nearly perfect average success rate with Indeed – 99.76%. However, it’s clear that the provider prioritizes success over speed, since the tool was noticeably slower compared to other scrapers.

The provider’s prices are slightly higher compared to the average, but you can choose to pay as you go or purchase a subscription. However, keep in mind that smaller subscription tiers come with fewer features – custom JavaScript and header control, and unlimited concurrent requests are only available with the two most expensive plans. On the bright side, there’s a free trial which can help you make up your mind if the product is worth it.

For more information and performance tests, read our Nimbleway review.

8. Zyte

Versatile and customizable Indeed scraper.

8.8/10 ★

Locations: 150+ locations with country-level targeting
Pricing model: PAYG, subscription
Data parsing: yes
Free trial: $5 platform credits for 30 days
Pricing: custom

If you’re not new to scraping, you’re probably familiar with Zyte API. Zyte is one of the most popular providers on the market, known for its robust scraping infrastructure.

We tested Zyte API’s performance for scraping Indeed and we were not disappointed – the scraper had an average success rate of over 99%. However, the tool was slower compared to others with a response time of nearly 11 seconds. Nevertheless, Zyte API is still a solid option for scraping Indeed.

Zyte API can be integrated as an API or a proxy server, and is packed with useful features such as customizable headers, cookies, and great geo-location coverage. It supports JavaScript rendering and and allows for advanced interactions like taking screenshots, clicking, typing, and scrolling on websites. Moreover, you can combine and write your own interaction scripts in a cloud-hosted VS Code environment. There’s also a built-in parser for easier data structuring.

In terms of pricing, there’s no single answer on how much you’d have to pay for the tool. The starting price can be as low as $1 for very basic projects, but there are price modifiers – features like JavaScript rendering or data parsing will cost you extra. But you can estimate your project’s cost on the website, as well as test the tool with a free trial to see if it’s up to your expectations.

For more information and performance tests, read our Zyte review.

Isabel Rivera

Caffeine-powered sneaker enthusiast

April 23, 2025

The post The Best Indeed Scrapers of 2025 appeared first on Proxyway.

The Best Web Scraping Services of 2025

Isabel Rivera — Thu, 03 Oct 2024 14:01:50 +0000

Best

Web scraping has become a popular (and essential) tool for businesses and individuals who need to gather large amounts of data. Whether for market research, competitive analysis, price monitoring, or content aggregation, web scraping simplifies automated data collection. Over the years, the web scraping market has grown, offering various tools that cater to technical users and beginners alike.

With a plethora of web scraping services to choose from, it can get tricky to find the right one. Providers often make lofty promises about speed and success rate, so knowing which ones truly deliver is important. But we’ve done the hard work for you and tested the top web scraping services on the market.

The Best Web Scraping Services of 2025:

1. Bright Data – the most versatile web scraping service.

First deposit matched up to $500>

2. Oxylabs – premium web scraping service.

Use the code proxyway35 to get 35% off>

3. Decodo (formerly Smartproxy) – affordable Google Maps scraper.

Try 100MB for free>

4. Zyte API – the fastest web scraping service.

Visit Zyte>

5. Nimbleway – AI-based web scrapers.

Visit Nimbleway>

What Is a Web Scraping Service?

A web scraping service is a company or platform that automates data collection from websites by helping you extract specific information, like product prices, reviews, or job listings. Such services help you gather data with minimal input from your side – they handle CAPTCHAs, proxies, and other challenges.

Web Scraping Service vs Web Scraper

Web scraping service and web scraper are two similar, yet different terms.

A web scraper is a tool specifically designed to get data from websites. The way it works is simple: you send a request to a web page, download the HTML, and then parse it (if you want) to gather the necessary information. There are various types of web scrapers available, such as no-code tools, web scraping and proxy-based APIs, and custom-built scrapers.

A web scraping service, on the other hand, is a broader term. It includes all of the company’s tools, infrastructure, and maintenance of the product. A web scraping service handles everything on your behalf. For example, it includes an analytics dashboard and provides technical support, among other things.

Benefits of a Web Scraping Service

Access to a variety of websites. A web scraping service can help you scrape data from different websites, so you don’t have to worry about each website’s structure or layout changes. Web scraping service providers offer tools that can handle websites of all sizes and the different anti-scraping measures they apply.
Maintained web scraping infrastructure. When you run your own web scraper, you need to keep track of website changes, troubleshoot technical issues, and adapt it. A web scraping service takes care of these aspects – the provider handles IP rotation, deals with blocked requests, and ensures uptime so you don’t have to.
Easy to scale up or down. Web scraping services offer a lot of variety in terms of pricing plans. So, you can easily switch from a small package to a large one and scrape from one page to millions of pages.
Several output formats. Most web scraping services allow you to choose how to download your data, such as in CSV or JSON formats.
Customer support. Since web scraping services are paid, they are interested in providing technical support. So, you have something to fall back on when you can’t find an answer in the provider’s documentation or the tool experiences technical issues.
Ethical use cases. Reputable web scraping providers ensure that their services comply with legal standards. This helps to avoid the ethical and legal consequences you might face when scraping well-protected websites.

Tips on Choosing a Web Scraping Service

First, it’s wise to consider what kind of data you’ll be scraping. Suppose you need information from platforms like Spotify or publicly available data from social media. In that case, you’ll want a web scraping service that can handle JavaScript. Some services come with dedicated scrapers, designed explicitly for scraping websites like LinkedIn.

Another consideration is choosing the right scraper format. There are several main types:

Pre-made templates or pre-collected datasets give you access to data. No-code scrapers let you gather data by visually clicking on elements or using pre-made templates. Pre-collected datasets are already collected, organized and stored for your use.
Proxy-based (web unblockers) or web scraping APIs are remote scrapers that take care of the technical details like proxy management or anti-detection measures like CAPTCHAs on your behalf. The major difference between the two – integration. Proxy APIs integrate as proxy servers. They are an upsell to proxies, but rarely come with specialized endpoints, data parsing capabilities or on-demand access to scraped output. Web scraping APIs, on the other hand, are more flexible, and include all the mentioned features.
Remote browsers also deal with anti-bot measures and dynamic content. You can control them with tools like Playwright and Puppeteer and emulate real browsing environments in a browser environment. So, you have more control over the browser.
Cloud-based scraping platform is a fully managed web scraping environment that features user-friendly interface for writing and running scripts, scheduling scraping tasks, and storing data in the cloud. Such platforms are perfect for users who want an all-in-one solution without managing local infrastructure, though they may come with higher costs.

What’s more, if you’re after well-protected websites, choosing a service that also has a proxy infrastructure is a good idea. This way, you won’t need to separately invest in a proxy service, you’ll get global locations, and, in some cases, additional targeting options.

The Best Web Scraping Services

1. Bright Data

The most versatile web scraping service.

9.3/10 ★

Add up to $500 to your account and get double the amount.

Geolocation: 150+ countries with city & ASN targeting, coordinates for Google
Pricing model: based on successful requests
Pricing structure: PAYG, subscription
Support: 24/7 via live chat, tickets, dedicated account manager
Free trial: 7 days free trial for business clients

Pricing:
– Web Unlocker: $3/1K requests
– Web Scraper API: $1/1K records
– Scraping Functions: $4/1K requests (standard domains) or $8/1K requests (premium domains)
– Scraping Browser: 8.4/GB
– Dataset: $500 for 200K records ($2.5/1K record)

Bright Data is the largest web scraping service provider on this list. The company offers a whole bunch of tools for web scraping: Web Scraper API with dedicated endpoints for different websites, scraping-optimized remote browsers, a cloud scraping platform, several proxy-like unblocking tools, and datasets.

It doesn’t matter if you’re a developer or a beginner, Bright Data’s arsenal covers any user’s needs – some tools require no coding experience, and others are particularly designed for developers and very powerful. The provider allows you to target any website you can think of: Amazon, eBay, Walmart, YouTube, and more.

Bright Data’s scrapers come with 150+ locations and country targeting. Some allow even more precise targeting that reaches city & ASN level.

The service has an interactive playground, good documentation, and a dedicated account manager for subscription-based plans.

When it comes to performance (we tested Bright Data’s Web Unlocker and SERP API), expect a very good success rate, but responses may take a while to return

Also, as a premium provider, Bright Data is expensive. So, if you don’t mind emptying your pockets, you won’t find such a versatile service.

For more information and performance tests, read our Bright Data review.

2. Oxylabs

Premium web scraping service.

9.3/10 ★

Use the code proxyway35 to get 35% off your first purchase.

Geolocation: 150+ countries with ZIP for Amazon, city & coordinates for Google
Pricing model: based on successful requests
Pricing structure: subscription
Support: 24/7 via live chat, dedicated account manager
Free trial: 7-day trial for businesses, 3-day refund for individuals
Pricing:
– Web Unblocker: $75/month ($15/GB)
– Web Scraper API: $49/month ($2/1K results)
– Datasets: custom

Oxylabs is another premium web scraping service. It offers AI-powered web scraper API, web unblocker (proxy API), and datasets (company data, job posting, product reviews, e-commerce products, as well as community and code data).

Oxylabs’ Web Scraper API bundles many scrapers in one – you can scrape e-commerce marketplaces, search engines, or any website you choose. You can target locations at the country level or narrow it down to ZIP code for Amazon, and cities or coordinates for Google.

The scraper API comes with the OxyCopilot feature, which generates API request code from natural language instructions, ready for use in Python, Node.js, or other scripts. Oxylabs has competent customer support, dedicated account manager and detailed documentation.

Not only does the service come with many features, but it also excels in performance and has a very stable infrastructure. Oxylabs had the best success rate during our tests and a fast response time.

The company focuses on mid- and large-sized businesses. You can get a plan for as little as $49/month and scale up to $10,000+/month. The provider charges for successful results.

For more information and performance tests, read our Oxylabs review.

3. Decodo (formerly Smartproxy)

Great value web scraping service.

9.3/10 ★

Try 100 MB for free.

Geolocation: 150+ countries with ZIP for Amazon, city & coordinates for Google
Pricing model: based on successful requests
Pricing structure: subscription
Support: award-winning 24/7 support via chat or email
Free trial: 14-day money-back option or 7-day trial

Pricing:
– Site Unblocker: $28/2GB ($14/GB) or $34/15K requests ($2.25/1K requests)
– Web Scraping API: $50/25K requests ($2/1K requests)
– Social Media Scraping API: $50/25K requests ($2/1K requests)
– SERP and eCommerce Scraping APIs: $30/25K requests ($2/1K requests)

Decodo is a smart choice when it comes down to a good price and performant tools. You can get its social media, SERP, e-commerce, general web scraping APIs, as well as proxy API.

Decodo’s scraper plans include access to the provider’s proxy networks with the ability to target up to country level. Additionally, the provider allows city and coordinate-level targeting for Google, and ZIP code targeting for Amazon.

In terms of performance, Decodo strikes a good balance between a good success rate and fast response time. But the provider focuses not only on quality – Decodo is very easy to use and has award-winning customer service.

Although Decodo is more affordable than competitors like Oxylabs and Bright Data, its pricing might still be higher for smaller-scale scraping tasks. Also, you need to buy different subscriptions for target types.

For more information and performance tests, read our Decodo review.

4. Zyte API

The fastest web scraping service.

8.8/10 ★

Geolocation: 150+ countries
Pricing model: based on optional features
Pricing structure: PAYG, subscription
Support: available via an asynchronous contact method
Free trial: $5 credit
Pricing: custom

Zyte offers a general-purpose web scraper Zyte API.

Zyte supports over 150 locations, and the API automatically matches the best location based on the URL you provide. One of Zyte’s standout features is its TypeScript API, available for enterprise clients. It allows writing browser automation scripts, from hovering over elements to entering individual symbols.

Performance-wise, Zyte is second only to Oxylabs regarding success rate, and the API achieved the best response time. So, with this provider, you won’t have to worry about being blocked even on the most protected websites.

Zyte offers dynamic pricing based on the complexity of the website and the features you need. The dashboard has a tool to help estimate the cost per request. While it’s highly affordable for basic scraping configurations, the price can rise if you need features like JavaScript rendering.

For more information and performance tests, read our Zyte API review.

5. Nimbleway

AI-Based web scrapers.

8.7/10 ★

Geolocation: 150+ countries with state & city targeting
Pricing model: based on successful requests
Pricing structure: PAYG, subscription
Support: live chat on the dashboard, email, Slack, Microsoft Teams, and Discord
Free trial: available
Pricing: $3/1K requests

Nimbleway has several scrapers for SERP, e-commerce, Google Maps, and other websites. The provider is a newcomer in both the proxy and web scraping industries. It came with robust residential proxies, and now we had the chance to test Nimbleway’s scraping capabilities.

The provider covers over 150 countries and offers state and city targeting. Even though Nimbleway offers only residential proxies, the provider gives mobile IPs for the most challenging targets when web scraping.

Nimbleway’s scrapers are among the better in the market. During our tests the provider did especially well with the social media platform, but it struggled with cloudflare anti-bot system.

The provider uses AI trained on HTML to extract data from different web pages. To improve this, they are adding a feature that lets users create custom schemas with easy, natural language instructions. These schemas will automatically fix errors and come with reusable IDs, making them more reliable.

Nimbleway uses platform based pricing, so don’t expect it to be cheap – the provider falls into the higher price range. You can pay as you go or commit to a monthly plan to save a buck or two.

For more information and performance tests, read our Nimbleway review.

6. NetNut

Fast web scraping service for enterprise.

9.0/10 ★

Use the code PWYNTNT to get a 30% discount.

Geolocation: 150+ countries
Pricing model: based on successful requests
Pricing structure: subscription
Support: 24/7 via email, live chat, phone, Skype (larger plans)
Free trial: 7 days for companies
Pricing: custom

NetNut has four scraping options to choose from: proxy API, SERP and social media APIs (specifically LinkedIn), as well as datasets (professional profile and company data).

NetNut is one of the larger proxy providers. Its web scrapers cover over 150 countries, but there’s no additional targeting options.

In terms of performance, NetNut’s proxy API was fast. It was able to bypass challenging targets like G2 and Google but struggled with getting results from pages like Lowe’s and Safeway.

The provider mainly targets enterprise customers – NetNut’s scrapers have a very steep entry price. Also, there are some issues with user experience – the services might be frustrating for beginners, and the customer support isn’t always fast. On the other hand, the provider has detailed usage statistics.

For more information and performance tests, read our NetNut review.

7. SOAX

Web scraping service for social media scraping.

9.0/10 ★

Use the code proxyway to get 20% off.

Geolocation: 150+ countries
Pricing model: based on successful requests
Pricing structure: PAYG, subscription
Support: 24/7 via live chat and tickets
Free trial: available
Pricing: custom

SOAX also offers a bunch of scrapers: Web Unblocker, SERP API, eCommerce API, Social Media API, and a no-code AI scraper.

SOAX’s scrapers come with many countries, but there are no additional targeting options. The provider has one of the better customer services and an easy-to-use dashboard. In terms of price, SOAX doesn’t display the cost – you’ll need to contact sales.

Performance-wise, SOAX’s Web Unblocker needs some improvements. The scraper is slow, and the success rate can’t compete with the top options on this list. Not to mention that it can barely unblock challenging targets like Allegro. But it works decently well on social media.

For more information and performance tests, read our SOAX review.

8. ScraperAPI

Cost-efficient web scraping service for basic websites.

Geolocation: 12 countries with 50+ upon request, ZIP code for Amazon
Pricing model: based on credits
Pricing structure: subscription
Support: e-mail
Free trial: 1k free credits / month, 7-day trial
Pricing: custom

ScraperAPI offers one product – a general-purpose web scraper. It also offers specialized endpoints for Amazon, Google, and Walmart.

ScraperAPI isn’t a proxy provider, so you can target only 12 countries with 50+ upon request. However, the service includes ZIP code targeting for localized Amazon results.

Let’s talk about performance. The scraper has room for improvement – it can access some targets with no trouble (for example, Amazon), but the success rate and response time drops significantly with serious anti-bot systems.

It’s worth mentioning that ScraperAPI supports four integration methods: it can be used as a proxy server, through an SDK, or via two API formats – open connection and asynchronous. What’s more, the provider offers a free plan that includes 1,000 API credits per month and allows up to 5 concurrent connections.

At a glance, ScraperAPI has pretty affordable prices. However, the provider charges by the number of credits used. The more complex the target is, the more credits it will consume. So, choose ScraperAPI for basic websites.

9. Infatica

Affordable web scraping service

8.7/10 ★

Use the code proxyway2024 to get 20% off your first purchase.

Geolocation: 150+ countries
Pricing model: based on credits
Pricing structure: subscription
Support: 24/7 support via tickets, chat or email
Free trial: 5k requests, 7-day trial
Pricing: $25/month (250K API credits)

Infatica sells general-purpose, e-commerce, SERP web scraping APIs and datasets.

Infatica is another proxy provider with well-performing proxies. As a result, the scrapers combine robust proxy infrastructure with 150+ countries but no city or other targeting options.

Infatica’s proxies perform much better than scrapers. The APIs have a pretty low success rate and slow response time. In our tests, the APIs failed to access half of the websites, including major ones like Walmart, Indeed, and G2.

The provider’s prices don’t bite. Even though there’s no pay as you go, the starting price isn’t steep, and the cost per API credit is on the lower side. However, the provider charges for extra features like JavaScript rendering. Its dashboard includes a calculator where you can see how much API credits the target website will consume.

For more information and performance tests, read our Infatica review.

10. Rayobyte

Web scraping service with no monthly commitments.

8.6/10 ★

Use the code proxyway to get 5% off.

Geolocation: 150+ countries
Pricing model: based on requests
Pricing structure: PAYG
Support: 24/7 support via email, ticketing system, or live chat
Free trial: 5k free requests/month
Pricing:
– Scraping Robot: $0.0018/scrape
– Web Unblocker: $12/GB

Rayobyte has two scraping products – Web Unblocker and Scraping Robot. Both tools are designed to access any website.

As with other proxy providers, Rayobyte’s scrapers can target over 150 countries. However, you won’t be getting any additional targeting options.

Rayobyte’s pricing model is straightforward, starting at $0.0018 per request. There’s no monthly commitment, so you can purchase the exact number of requests you need and scrape until your credits are used up. Additionally, the provider offers 5,000 free scrapes per month, so if you want to test the service or handle smaller-scale projects without upfront costs – Rayobyte is your go-to choice.

The major downside of the service is that it struggles to access difficult websites. It doesn’t shine in response time as well.

For more information and performance tests, read our Rayobyte review.

11. Apify

Web scraping service with thousands of no-code tools.

Pricing model: credit-based
Data parsing: yes
Free trial: a free plan with $5 platform credits is available
Pricing: monthly plans starting from $49 with $49 platform credits and 30 shared datacenter proxies.

Apify is a popular choice if you’re looking for no-code web scrapers. It has an extensive library of over a thousand pre-made templates that are designed to scrape data from popular platforms like TikTok, Amazon, and other sites. If you can’t find a suitable template, you can create your own or request a custom one directly from Apify.

The platform has a user-friendly interface, ideal for beginners. Using any of the templates is straightforward: you select a template, specify the type of data you want, and choose how you’d like to receive it.

Although Apify requires no coding knowledge, it’s also flexible enough for advanced users. Developers can customize or write scripts and access data via API.

However, Apify’s pricing is somewhat limited. You can only get two paid plans – personal and team. This could be a drawback for users with higher-volume scraping needs, as the costs can quickly become limiting for running multiple tasks or handling bulk data.

Isabel Rivera

Caffeine-powered sneaker enthusiast

April 23, 2025

The post The Best Web Scraping Services of 2025 appeared first on Proxyway.

The Best Proxies for Android in 2025

Isabel Rivera — Tue, 10 Sep 2024 13:32:06 +0000

Best

The use of a proxy server on websites is nothing new; it’s a popular tool among both businesses and individuals. But did you know that a proxy can do wonders on your Android smart device as well?

This article explores the best proxies for Android. We tested each provider, compared their features and the price, so you can make an informed choice before buying.

The Best Proxies for Android in 2025:

1. Decodo (formerly Smartproxy) – robust proxies for any Android device.

Try 100MB for free>

2. Webshare – flexible and customizable service.

Get 50% off your first purchase>

3. SOAX – Android proxies with flexible rotation and targeting options.

Use the code proxyway to get 20% off>

4. Bright Data – the most versatile Android proxies.

First deposit matched up to $500>

5. NetNut – Android proxies for large scale use.

Use the code PWYNTNT to get a 30% discount>

What is an Android Proxy

An Android proxy is a server that stands between your smart device and the internet. When you connect through a proxy, your request is first sent to the server and only then to the target website or app. During this process your IP address and location is changed, so it appears as if the requests are coming from a different user.

On Android, proxies can be configured for individual apps or for the entire device. If you’re not sure how to set up a proxy on Android, we’ve prepared an extensive guide.

Android Proxy Settings: How to Use a Proxy on Android

Learn how to configure the Android proxy settings on your phone or tablet.

Why Use a Proxy on Android

Using a proxy on your Android device has several benefits. Here are some reasons why you might want to use a proxy on Android:

Privacy. When you connect to the internet through a proxy, the websites you visit see the proxy’s IP address instead of your own. This makes it more difficult for websites, advertisers, or malicious actors to track your online activities and identify your location.
Bypass geo-restrictions. Some websites and apps restrict access based on your location. When you use a proxy server from a different country, you can access content that would be unavailable in your region, for example, streaming services, accessing restricted websites, or using apps that are not available in your country.
Faster browsing. Proxies can cache copies of websites and data you’ve already accessed. This method reduces the time it takes to load the website in the future.
Avoid IP bans. By using a proxy with a different IP address, you can bypass IP-based bans.
Manage network traffic. If you manage multiple Android devices, proxies can help to control and monitor network traffic. You can filter content, block access to certain websites, and manage bandwidth usage.

Types of Proxies for Android

There are four types of proxies you can use with your Android device:

Residential proxies are sourced from other people:, their desktop and laptop computers, and sometimes even IoT devices like smart TVs. They are very difficult to detect.
Datacenter proxies are hosted on servers owned by web hosting companies like Google Cloud, Amazon AWS, and similar providers. This sets them apart from residential proxies, which are tied to consumer internet service providers. However, websites can easily identify this type of proxy.
Mobile proxies route your traffic through mobile devices connected to networks like T-Mobile, Verizon, and other carriers. This type is the most difficult to detect.
ISP Proxies are linked to an internet service provider (ISP) but don’t involve end-user devices. Instead, they are hosted on servers rather than on residential devices like mobile phones or desktop computers.

Comparing Different Types of Android Proxies

Residential

Datacenter

Mobile

ISP

Advantages

✅Difficult to detect.

✅Cheaper than mobile proxies.

✅Fast and stable.

✅Cheap, often with unlimited traffic

✅Hardest to detect.

✅Best for mobile-specific applications and social media.

✅Difficult to detect.

✅Fast and stable.

✅Can include unlimited traffic.

Disadvantages

❌Charge per gigabyte.

❌Slow and not always stable.

❌Very easy to detect.

❌Very expensive.

❌Expensive.

❌Not many locations to choose from.

❌Easier to block than proper residential IPs

The Best Proxies for Android in 2025

1. Decodo (formerly Smartproxy)

Robust proxies for any Android device.

9.3/10 ★

Try 100 MB for free.

Locations: global (residential, mobile); 9 countries (ISP); 5 countries (rotating datacenter)
Support: award-winning 24/7 support via chat or email
Extras: API, browser extension, anti-detect browser, extensive documentation
Free trial: 3-day free trial (residential); 14-day money-back guarantee (ISP, mobile, datacenter)
Pricing starts from:

– Residential: $7 for 1 GB.
– Datacenter: $10 for 100 IPs ($0.1/IP) or 50 GB ($0.6/GB)
– ISP: shared starts at $28 for 2 GB ($14/GB) or $12.50 for 25 IPs ($0.5/IP). Dedicated – $35 for 10 IPs ($3.50/IP).
– Mobile: $8 for 1 GB

Decodo offers shared and private datacenter, residential, ISP and mobile proxies that can be used on any Android device. You can access the full IP pool (except for IP-based datacenter proxies) and choose any country you can think of.

The service impressed us with its performance. During our tests, its proxies (notably, mobile and residential) were at the top two positions in terms of both success rate and response time.

Beyond performance, the provider excels in user experience with comprehensive documentation and 24/7 award-winning customer service. You can also benefit from free apps like an antidetect browser and a proxy address generator.

All Decodo’s networks have competitive prices – the provider falls between budget and premium options. So, if you value quality and don’t want to break a bank, Decodo is your best choice.

Read the Decodo review for more information and performance tests.

2. Webshare

Flexible and customizable service.

8.8/10 ★

Get 50% off your first purchase.

Locations: global (residential); US (ISP); 30 countries (dedicated datacenter)
Support: via email and chat (6AM-6PM PST)
Extras: API, basic documentation
Free trial: a free plan with 10 shared addresses is available.
Pricing starts from:
*depends on add-ons
– Residential: $7 for 1 GB
– Datacenter: $2.99 for 100 IPs ($0.03/IP)
– ISP: $6 for 20 proxies ($0.3/IP)

Webshare offers datacenter (shared, dedicated, rotating), residential, and ISP proxies. The provider stands out for its flexibility and customizable subscription. You can select the number of IPs in preferred locations and adjust things like traffic, concurrency, and network priority. The provider has flexible refresh options, from individual IP replacements to full proxy list refreshes. You’ll also find a user-friendly interface.

During our tests, Webshare’s rotating datacenter proxies showed an excellent success rate, although its residential IPs were mediocre. Webshare is an affordable option, with pricing below the market average, and new users receive 10 free datacenter proxies.

However, the provider has limited targeting options, so it’s less suitable for location-sensitive tasks.

Read the Webshare review for more information and performance tests.

3. SOAX

Android proxies with flexible rotation and targeting options.

9.0/10 ★

Use the code proxyway to get 20% off.

Locations: global (residential, mobile); US (ISP); 15 countries (rotating datacenter)
Support: 24/7 via live chat and tickets
Extras: limited API, node access (connect to an IP directly), customer success manager
Free trial: 3-day trial for $1.99 available
Pricing starts from:

– Residential: $4 for 1 GB
– ISP: $3.50 for 1 GB
– Datacenter: $0.8 for 1 GB (minimum 5 GB)
– Mobile: $4 for 1 GB

SOAX offers residential, mobile, datacenter (shared, dedicated), and ISP proxies. Like the top competition, the provider also has a large proxy pool and has over 195 locations for residential and mobile proxies, with ISP proxies available only in the US.

SOAX’s proxies are reliable, but their success rate went down in recent years, and the response time is among the slowest on this list. However, the provider stands out with flexible rotation settings and precise targeting down to the city and ASN level without extra charges – a feature for which some providers charge double.

SOAX also provides excellent customer service and competitive pricing – the rates are below the market average. The provider offers all proxies on pay-as-you-go plans, but subscription prices can be a little steeper.

Read the SOAX review for more information and performance tests.

4. Bright Data

The most versatile Android proxies.

9.3/10 ★

Add up to $500 to your account and get double the amount.

Locations: global (residential, mobile); 50 countries (ISP); 100+ countries (rotating datacenter)
Support: 24/7 via live chat, tickets, dedicated account manager
Extras: API, browser extension, Proxy Manager, extensive documentation
Free trial: 7-day free trial for businesses; up to 15 datacenter IPs and 2 GB/month for free
Pricing starts from:

– Residential: $8.40 for 1 GB
– Datacenter: Very flexible and depends on the add-ons. Starting from $0.11/GB + $0.8/IP
– ISP: $15/GB + $0.5/IP
– Mobile: $8.40 for 1 GB

Bright Data is another premium proxy provider with residential, datacenter (shared, rotating, dedicated), ISP, and mobile proxies. It has one of the largest proxy networks with any country worldwide.

The provider is rich in features and highly customizable. For example, its mobile proxies allow you to select a specific mobile carrier, customize the rotation settings to your preference, and use an unlimited number of IPs at once. In short, with Bright Data you’ll get any feature you can think of.

Performance-wise, the provider delivers a good success rate, but the response time of its mobile proxies could be improved. Otherwise, its residential and datacenter proxies are fast.

The main downside comes down to a higher pay as you go price, and steep subscription cost. Also, Bright Data’s powerful features might be too much for first-time users.

Read the Bright Data review for more information and performance tests.

5. NetNut

Android proxies for large scale use.

9.0/10 ★

Use the code PWYNTNT to get a 30% discount.

Pool size: 200+ countries (residential); 100+ countries (mobile); 30+ (ISP); US (rotating datacenter)
Support: 24/7 via email, live chat, phone, Skype (larger plans)
Extras: API (for resellers), mediocre documentation
Free trial: 7-day free trial for businesses.
Pricing starts from:

– Residential: $99 for 28 GB ($3.53/GB)
– Datacenter: $100 for 100 GB ($1/GB)
– ISP: $99 for 7 GB ($14.40/GB)
– Mobile: $99 for 13 GB ($7.60/GB)

NetNut also focuses on the larger customers. You can get its shared datacenter, residential, ISP, and mobile proxies. The addresses come from large IP pools and up to 150 locations.

NetNut’s infrastructure has improved over the years, and most of its proxies achieved over 98% of success rate. So, if you’re an experienced user or need proxies at scale, NetNut should be your go-to choice.

However, NetNut only offers a subscription-based model and the entry price starts from $99, which is pretty steep.

Read the NetNut review for more information and performance tests.

6. Infatica

Residential proxies with many targeting options.

8.7/10 ★

Use the code proxyway2024 to get 20% off your first purchase.

Locations: global (residential); 100+ countries (mobile); 16 countries (ISP); US (datacenter)
Support: 24/7 support via tickets, chat or email
Extras: extensive documentation
Free trial: 3-day trial for $1.99 available
Pricing starts from:

– Residential: $4 for 1 GB
– ISP: $5 for 1 IP
– Datacenter: from $1.10 to $4.12
– Mobile: $8 for 1 GB

Infatica is a smaller provider that targets small to medium businesses. You can get its residential, mobile, and shared datacenter proxies.

Infatica’s residential proxies come with versatile location targeting options: by country, city, or ASN, and at no extra cost. The proxies rotate by default, but you can hold sticky sessions from 5 to 60 minutes.

While we didn’t test Infatica’s datacenter proxies, the residential IPs performed well, though with a slightly higher error rate than other services on this list. Despite this, the proxies were fast.

Infatica offers competitive prices for enterprise plans. The provider recently introduced a pay-as-you-go option alongside its subscription model. However, it’s worth noting that Infatica’s mobile IPs remain among the most expensive in the market.

Read the Infatica review for more information and performance tests.

7. Rayobyte

Flexible datacenter proxies with non-expiring traffic.

8.6/10 ★

Use the code proxyway to get 5% off.

Locations: 100+ countries (residential, mobile); the US (ISP); 4 countries (rotating datacenter)
Support: 24/7 support via email, ticketing system, or live chat
Extras: API (for resellers), extensive documentation,
Free trial: 2-day free trial available
Pricing starts from:

– Residential: $7.50 for 1 GB
– Datacenter: from $5 for 5 IPs ($1/IP) (static); $0.60/GB (rotating)
– ISP: $5 for 1 GB (static); $7.50 for 1 GB (rotating)
– Mobile: $50 for 2 GB ($25/GB) or $2.50 for 1 IP

Rayobyte offers static and rotating datacenter, residential, mobile, and ISP proxies. It’s a good option for customers of all sizes.

While the provider doesn’t disclose the size of its proxy networks, it’s substantial. If you need dedicated datacenter proxies, Rayobyte will make sure you get what you came for; you get unlimited threads and unmetered traffic.

Rayobyte’s datacenter and residential proxies have a decent success rate, though they are a bit slow. The proxies rarely failed on their own during our tests, so they should be enough for simple tasks.

If you decide to stick with this provider, you can subscribe to a plan or get never expiring traffic with pay-as-you-go. The prices get more favourable (often below the market’s average) once you purchase more traffic.

However, Rayobyte has limited customization options – no custom rotation, no ASN targeting for mobile proxies, and mediocre customer support.

Read the Rayobyte review for more information and performance tests.

8. Proxy-Seller

Reasonably priced proxies for customers of all sizes.

8.5/10 ★

Use the coupon PROXYWAY to get 15% off for any purchase.

Locations: global (residential); 8+ (shared mobile) 18+ countries (dedicated mobile); 20+ countries (ISP); 50+ countries (datacenter)
Support: 24/7 via live chat & email
Extras: proxy checker, port scanner, IP tracer, IP ping checker, extensive documentation
Free trial: 24-hour refund (datacenter, ISP & mobile), 3 days for $1.99 (residential)
Pricing starts from:

– Residential: $7 for 1 GB
– Datacenter: $1.07 for 1 US IP
– ISP: $1.5 for 1 US IP
– Mobile: $10.11 for 1 IP

Proxy-Seller offers dedicated datacenter, ISP, residential, and mobile proxies. It mainly targets individual users or small businesses.

The provider’s proxy networks are flexible in terms of locations and pricing. The provider covers all locations worldwide and costs similar to other mid-range alternatives. You can pay for a timed subscription that ranges from a week to a year. There’s also an option to get as little as 1GB or 1 IP address. The prices don’t bite but scale better once you buy more proxies.

During our tests, the proxies performed well overall. They had a good success rate and were among the faster ones on this list.

The main drawback is that there’s no pay-as-you-go, but you can buy a 1GB plan and auto-renew it.

Read the Proxy-Seller review for more information and performance tests.

9. IPRoyal

Affordable Android proxies.

8.5/10 ★

Use coupon PROXYWAY30 to get a 30% discount.

Locations: global (residential); 7 countries (mobile); 31+ countries (ISP); 50+ countries (dedicated datacenter)
Support: 24/7 via live chat
Extras: proxy tester, extensive documentation, browser extension
Free trial: none
Pricing starts from:

– Residential: $7 for 1 GB
– Datacenter: $8.75 for 5 IPs ($1.75/IP)
– ISP: $1.80 for 1 IP
– Mobile: $10.11 for 1 IP

IPRoyal is a budget-friendly provider with residential, datacenter, ISP, and mobile proxies at hand. Its proxies have good location coverage and decently-sized pools.

The residential proxies have flexible filtering and rotation options. Datacenter and ISP proxies, on the other hand, lack these features, but they come with unlimited threads, domains, and a free monthly refresh. IPRoyal provides solid customer service and extensive documentation.

While IPRoyal’s performance has improved over the years, its residential proxies still can’t compare to the top options. Also, the provider has fewer unique IPs, so the services aren’t ideal for more demanding tasks.

Read the IPRoyal review for more information and performance tests.

10. Dataimpulse

Cheap Android proxies.

8.3/10 ★

Pool size: 100+ countries (residential); 190+ countries (mobile); 10+ countries (datacenter)
Support: live chat, 24/7 via email
Extras: API for resellers
Free trial: none
Pricing starts from:

– Datacenter: $50 for 100 GB ($0.5/GB)
– Residential: $50 for 50 GB ($1/GB)
– Mobile: $50 for 25 GB ($2/GB)

DataImpulse offers bargain residential, datacenter, and mobile proxies. You can get its proxies for as little as $1/GB with one condition – you need to spend at least $50.

Even though DataImpulse advertises one of the smallest residential proxy pools in the market, it has a higher number of unique IPs compared to larger providers like IPRoyal.

DataImpulse’s infrastructure did relatively well, but it was among the slower providers. For context, the top providers on this list returned a response over three times faster.

While DataImpulse is among the most affordable options, additional features like city, ASN, or ZIP code targeting cost extra.

Read the Dataimpulse review for more information and performance tests.

Isabel Rivera

Caffeine-powered sneaker enthusiast

April 23, 2025

The post The Best Proxies for Android in 2025 appeared first on Proxyway.

The Best Google Maps Scrapers 2025

Isabel Rivera — Mon, 26 Aug 2024 10:28:34 +0000

The Best Google Maps Scrapers of 2025

Google Maps stands out as one of the largest sources of localized information. It holds over 200 million businesses and places data worldwide; the platform has become the main resource for companies, analysts, as well as individuals. And guess what? Web scraping is the primary method to get those insights.

But let’s just say that search engine result pages (SERPs) aren’t very easy to access when talking about automation. And the reason is simple – Google is well protected and setting up a traditional web scraper is a hassle.

So, what are your options? In this article, you’ll find all the answers – types of Google Maps scrapers, tips for choosing the right tool, and a list of scrapers we tested ourselves.

The Best Google Maps Scrapers of 2025:

1. Bright Data – the most versatile Google Maps Scrapers.

First deposit matched up to $500>

2. Oxylabs – a feature-rich Google Maps scraper.

Use the code proxyway35 to get 35% off>

3. Decodo (formerly Smartproxy) – affordable Google Maps scraper.

Try 100MB for free>

4. Nimbleway– AI-based Google Maps scraper.

Visit Nimbleway>

5. Zyte API – Google Maps scraper with multiple integration methods.

Visit Zyte>

What is Google Maps Scraping?

Google Maps scraping is the process of extracting data from Google Maps, a service provided by Google that offers mapping, navigation, and location-based information. You can scrape different types of data like:

Business listings: details about businesses, including names, addresses, phone numbers, websites, and working hours.
Geographical data: coordinates (latitude and longitude), area boundaries, and other geographical information.
Reviews and ratings: user-generated reviews and business ratings, places of interest, and services.
Photos and images: images associated with locations and businesses.

While you can gain many insights from Google Maps scraping, it’s important to consider the platform’s rules and stick to ethical web scraping practices.

Can You Scrape Data with the Official Google Maps API?

Many platforms today offer their own APIs that can be used for web scraping. And Google is one of them. So, why shouldn’t you go the easy way and scrape information with the official tool?

First and foremost, this method is expensive. Even though you get $200 free of charge, this translates to only up to 28,000 dynamic map loads for that money. An additional 1,000 loads will cost you an extra $7, and so on.

Another downside is request limitations. Google limits up to 100 requests per second or up to 25,000 map loads per day. If you need more, you’ll need both an API key and a digital signature.

Types of Google Maps Scrapers

There are many tools to choose from when it comes to web scraping Google Maps. If you find the official API too limited, here are your options:

No-code web scrapers. Several types of no-code options are available. Usually, you buy a pre-made Google Maps template that comes with a point-and-click interface. You can also search for pre-scraped datasets, which you simply download to your device. Then, there are browser extensions you integrate with your browser – they let you click on the elements you want to scrape and download them.
General-purpose APIs. These cloud scrapers handle bot protection measures and require just a few lines of code. Even though general-purpose APIs aren’t specifically designed to scrape Google, most do the work well. These tools are categorized by their integration method: either proxy- or API-like (synchronous and asynchronous) integration.
Specialized APIs. Another method is to use APIs specifically designed for Google. These tools usually come with in-built data parsers for returning structured data from the search engine. Instead of manually constructing a URL, you can simply input a product number or search query, along with location and pagination parameters.
Custom-built web scrapers. If you have programming experience, you can build your own Google Maps scraper with programming languages like Python or Node.js. It’s the most customizable approach, but you’ll have to set up and manage anti-scraping measures yourself.

Key Features to Look for in a Google Maps Scraper

As you know, several types of tools exist to scrape Google Maps. So, what should you look for when choosing the best scraper? Here are some tips:

Ability to access Google. Specialized web scraper APIs can always access Google. However, if you choose a general-purpose one, make sure that the tool can access the search engine because some providers block access to Google.
Parsing capabilities. If you need structured data, the scraper should come with a parsing feature to extract the main data points like reviews and ratings. Most specialized search engine scrapers come with an in-built parser for Google.
Location options. Typically, proxy service providers cover global locations, but other companies offer fewer locales. Also, if you’re focused on local SEO, make sure that you can specify a particular city or even exact coordinates.
Integration methods. Web scraping APIs can integrate as an API over open connection, using webhooks, or as a proxy server. You should consider which format works best for you. For large-scale projects, the API integration allows sending many requests asynchronously.
Pricing model and modifiers. Consider the scraper’s pricing model – you can choose between traffic-based and credit-based pricing. Additionally, some providers charge extra for premium proxies or the ability to handle JavaScript.

The Best Google Maps Scrapers

1. Bright Data

The most versatile Google Maps scrapers.

9.3/10 ★

Add up to $500 to your account and get double the amount.

Pricing model: based on successful requests
Pricing structure: PAYG, subscription
Support: 24/7 support via chat or email
Free trial: 7-day trial for companies
Pricing:
– Google Maps datasets: $500 for 200K records ($2.5/1K)
– SERP API: $3/ 1K results

Bright Data is a business-oriented provider that offers two tools for web scraping Google Maps.

If you don’t want to do any scraping, you can get Bright Data’s pre-built Google Maps datasets. You can retrieve data in your preferred format, like CSV, JSON, or Excel, and store the results in AWS, Google Drive, or Google Cloud Storage. Additionally, you can build your own Google Maps dataset using different filters.

For larger projects, go with Bright Data’s SERP API. It comes with an endpoint for Google maps that returns structured data with coordinate-level precision. While the documentation leans towards proxy-like integration, you can also send queries in API format and receive data in batches.

The service has an interactive playground, comprehensive documentation, and a dedicated account manager for subscription-based plans. However, as a premium provider, Bright Data is expensive.

For more information and performance tests, read our Bright Data review.

2. Oxylabs

A feature-rich Google Maps scraper.

9.3/10 ★

Use the code proxyway35 to get 35% off your first purchase.

Pricing model: based on successful requests
Pricing structure: subscription
Support: 24/7 via live chat, dedicated account manager
Free trial: 7-day trial with 5K results
Pricing: starts from $49 for 24,500 results ($2/1K results)

Oxylabs is a premium proxy provider that offers a multipurpose web scraper API that can scrape Google Maps. It allows you to collect public data with geographic points from Google Maps and Google Places.

The API is one of the most feature-complete tools on this list. It allows you to target any location to coordinate levels and retrieve data directly to your Amazon S3, Google Cloud Storage, or in batches via webhook. You can extract up to 5,000 URLs per batch.

You can set custom parsing instructions to get structured data from Google Maps. The service comes with competent customer service, very detailed documentation, and an AI-powered assistant, and you can download a Postman collection.

For more information and performance tests, read our Oxylabs review.

3. Decodo (formerly Smartproxy)

Affordable Google Maps scraper.

9.3/10 ★

Try 100 MB for free.

Pricing model: based on successful requests
Pricing structure: subscription
Support: 24/7 support via chat or email
Free trial: 14-day money-back option or 7-day trial
Pricing: Core subscription starts from $29 for 100K requests ($0.29/1K); Advanced subscription – $30/15K requests ($2/1K)

Decodo is the provider you should choose if you’re looking for a performant and easy-to-use Google Maps scraper.

The SERP Scraping API integrates as a proxy server. There’s an option to select countries and cities, as well as a browser and device type. You can schedule tasks and choose between raw HTML or JSON results. The tool comes with ready-made scraping templates and parsing functionality.

The service has an API playground for live testing. You can build requests, view their output, and download code snippets. Decodo has an award-winning customer service and one of the better documentation out there.

Decodo offers two pricing plans: Core and Advanced. The Core plan is budget-friendly but comes with location limitations and lacks advanced features like JavaScript rendering. The Advanced plan includes all features.

For more information and performance tests, read our Decodo review.

4. Nimbleway

AI-based Google Maps scraper.

8.7/10 ★

Pricing model: based on successful requests
Pricing structure: PAYG, subscription
Support: live chat on the dashboard, email, Slack, Microsoft Teams, and Discord
Free trial: available
Pricing: $3/1K results

Nimbleway offers a scraper API with dedicated endpoints for Google Maps. Nimble’s Google Maps API allows you to extract information like business names, contact details, operating hours, peak times, and even amenities.

The provider stands out for its AI trained on HTML structures to extract data from Google Maps. You can also create schemas with natural language instructions that automatically fix errors.

The Google Maps scraper allows you to collect data from up to 1,000 zip codes in a single batch. The provider also offers flexible delivery options, including real-time, push/pull, and cloud storage.

However, Nimble is one of the more expensive providers on this list.

For more information and performance tests, read our Nimbleway review.

5. Zyte API

Google Maps scraper with multiple integration methods.

8.8/10 ★

Geolocation: 150+ locations
Pricing model: based on optional features
Pricing structure: PAYG, subscription
Support: available via asynchronous contact method
Free trial: trial for $5 available

Pricing: custom

Zyte API is well known for its ability to target e-commerce websites, but it can also scrape data from Google Maps.

The tool primarily integrates as an API via an open connection. Although proxy-like integration is available, it lacks browser rendering, data parsing, and session creation features. Alternatively, you can integrate the scraper via a plugin-in for Scrapy and an asyncio-based Python library.

The API can render Google Maps within a browser-like interface. In addition, enterprise clients can use TypeScript API that allows scripting browser actions within a cloud development environment, such as hovering over elements or entering individual symbols. The provider also offers a playground in the dashboard.

However, the API doesn’t include an in-built parser, and there’s a limit of 500 requests per minute. Additionally, JavaScript rendering will cost you extra.

For more information and performance tests, read our Zyte API review.

6. ScraperAPI

Google Maps scraper with a free plan.

Pricing model: based on successful requests and optional features
Pricing structure: subscription
Support: available via email
Free trial: 1,000 free credits/month or 7-day free trial
Pricing: starts from $49/100,000 API credits

ScraperAPI offers a general-purpose web scraper.

You can integrate the scraper in five ways: a proxy server, a library/SDK, two APIs (open connection and asynchronous), or using the no-code interface on the dashboard.

The tool has flexible scheduling options, including CRON, and you can download scraped data in JSON. What’s more, the provider offers a free plan with 1,000 API credits per month.

ScraperAPI uses a credit-based pricing system. Keep in mind that JavaScript rendering and premium proxies will consume more credits, so prepare to spend a buck or two. We’d suggest using the API playground to check the price per request.

7. Apify

No-code Google Maps scrapers.

Pricing model: based on usage
Pricing structure: subscription
Free trial: a free plan with $5 platform credits is available
Pricing: monthly plans starting from $49 with $49 platform credits and 30 shared datacenter proxies.

Apify is a provider that offers no-code scrapers. You can choose between three options: Google Maps Scraper, Google Maps Data Extractor, and Google Maps Business Scraper. There’s an option to customize the templates by modifying the code or requesting a new one if needed.

You can scrape by search query, location, coordinates, or URL, targeting several places, a city, or an entire area. The scraped data comes as a dataset, and you have two options to view it – either look in the dashboard or download it in JSON, CSV, and Excel. You’ll get features like notifications when the scrape is done, different download options like JSON, CSV, Excel, and scheduling.

What sets these scrapers apart? Google Maps Scraper has the most features, but it’s slower, and the price depends on the complexity of your search. So, if datacenter proxies that are included with the plan are not enough, you’ll need to pay an additional $10/GB for residential IPs.

Isabel Rivera

Caffeine-powered sneaker enthusiast

April 23, 2025

The post The Best Google Maps Scrapers 2025 appeared first on Proxyway.