Best Proxies & Scrapers - Proxyway

Best Patreon Scrapers of 2026

Chris Becker — Fri, 03 Apr 2026 07:25:28 +0000

Best

Patreon is fine for accessing content from your supported creators. But what about scraping it en masse? Thankfully, the web scraping industry has evolved significantly, with numerous providers offering sophisticated APIs designed to handle the increasing complexity of modern websites. For businesses and researchers seeking to extract data from platforms like Patreon, selecting the right scraper provider requires careful consideration of performance metrics. And that’s just what we used to rank these providers and find the best Patreon scraper for you.

Best Patreon Scrapers of 2026:

1. Zyte – the overall best Patreon scraper choice.

Visit Zyte>

2. Decodo (formerly Smartproxy) – the other great Patreon scraping option.

Try with a 7-day free trial>

3. Oxylabs – scrape Patreon with AI assistance.

Use the code Discount30 to get 30% off>

4. ScrapingBee – powerful AI scraper to scrape Patreon with.

Visit ScrapingBee>

5. ZenRows – Patreon scraping for those willing to invest.

Visit ZenRows>

Why Scrape Patreon?

Scraping Patreon is very attractive for those keeping a finger on the pulse of the creator economy. Creators themselves can keep tabs on their competitors and see how their membership tiers, pricing structures, and unique benefits compare. Marketers can identify emerging influencers for potential partnerships or brand collaborations. Investors can track the growth and financial viability of both creators and the platform.

Such data is important for academic researchers seeking to understand the creator economy and its impact on independent work. Similarly, journalists and media outlets can gather data for reports on financial aspects, audience behaviors, or significant shifts within the digital content landscape.

How Chose the Patreon Scrapers

So, how do you know which scraper is best for targeting Patreon? Well, we rely on data from our web scraping API report. We ran top-of-the-line scraper services through the gauntlet and found out how they perform in general, as well as tackling 15 specific targets like Google.

The tests were run first with 2 requests per second, then with 10 reqs. For this article, we chose the 2 req/s results and ranked the providers based on their average success rate. Here’s the table:

Provider	Avg. Success Rate	Avg. Response Time
Zyte	93.14%	11.15 s
Decodo	87.09%	15.22 s
Oxylabs	85.82%	16.76 s
ScrapingBee	84.47%	25.46 s
ZenRows	70.39%	19.10 s

The Best Patreon Scrapers

1. Zyte

The overall best Patreon scraper choice.

Integration: API (real-time), proxy, or SDK
Data parsing: AI-powered parser
Pricing model: PAYG, subscription
Pricing structure: responses
Customer support: email, AI chat
Free trial: $5 free credit
Pricing starts at: $0.13 CPM for HTTPS, $1.01 CPM for browser rendering

Zyte delivers its web scraping capabilities through the Zyte API, which combines proxy management, browser automation, and AI-powered extraction in a single platform. While it does not have a dedicated Patreon-specific scraper or endpoint, its API features AI-assisted data parsing, which can be used to scrape specific data off the platform.

Zyte operates on a pay-as-you-go model with tier-based rates that vary based on website difficulty, ranging from $0.13/1K requests for simple targets to $1.01/1K for complex sites. You’re only charged for successful requests. To see whether that works for your Patreon use case you can get $5 free credit for a trial run.

Read the Zyte API review for more information and performance tests.

2. Decodo

The other great Patreon scraping option.

Integration: API (real-time or async), SDK, or MCP
Data parsing: manual or AI-generated parsing instructions
Pricing model: subscription
Pricing structure: credits
Customer support: 24/7 award-winning support via chat, email
Free trial: $1 credit, 14-day refund
Pricing starts at: $19/mo for up to 38K requests ($0.50 CPM)

Decodo provides web scraping capabilities through its Web Scraping API. The service is positioned toward small to medium customers with a unified scraping solution powered by 125M+ residential, mobile, ISP, and datacenter IPs. It may not have a dedicated Patreon scraper, but its powerful generic tools can access the platform.

The Web Scraping API features AI selector generators for target-specific structured data extraction, and supports HTML, JSON, CSV, Markdown, and screenshot output formats. And if you want an AI agent to be able to scrape to Patreon, it also offers an MCP server for agentic browsing capabilities with LangChain integration.

Decodo offers a flat pricing model with four subscription tiers. If you want to give it a spin before you commit, the Web Scraper API trial comes with a $1 credit, which is enough for 2K requests with standard proxies and without JavaScript.

Read the Decodo review for more information and performance tests.

3. Oxylabs

Scrape Patreon with AI assistance.

Use the code Discount30 to get 30% off.

Integration: API (real-time or async), proxy, MCP
Data parsing: manual instructions (XPath, CSS, Regex) with savable presets, dedicated endpoint, AI parser generator
Pricing model: subscription
Pricing structure: credits
Customer support: chat, email, and Discord
Free trial: 2K free results
Pricing starts at: $49/mo for up to 98K results ($0.50 CPM)

Oxylabs’ Web Scraper API suite doesn’t have a specific Patreon scraper, but its generic scraping capabilities are powerful enough to tackle this task.

Data parsing, JavaScript rendering, device fingerprint selection, and a massive pool of 100M+ residential IPs will take you a long way. What’s more, the OxyCopilot feature will generate API request code from your natural language instructions – you can then use it in Python, Node.js, or other scripts.

Oxylabs runs on a subscription-based pricing model with pay-per-result billing starting from $49/month. Customer support includes 24/7 assistance via live chat, email, and Discord, with dedicated Account Managers for enterprise clients.

Read the Oxylabs review or more information and performance tests.

4. ScrapingBee

Powerful AI scraper to scrape Patreon with.

Integration: API (real-time), proxy, SDK, MCP
Data parsing: manual or AI-generated parsing instructions
Pricing model: subscription
Pricing structure: credits
Customer support: email, chat support
Pricing starts at: $49/mo for 250K credits
Free trial: 1K free API calls

ScrapingBee provides web scraping services through its ScrapingBee API, emphasizing ease of use and reliability for extracting data from JavaScript-heavy websites with stealth mode and custom headers.

It doesn’t offer a dedicated Patreon scraper, but the capabilities of the generic product are powerful enough to cover that base. AI Web Scraping for precise data extraction, JavaScript scenario support for emulating user interactions, and screenshot capture are just some of the more important features on offer.

ScrapingBee operates on a credit-based subscription model with four pricing tiers. Credit costs vary: basic requests cost 1 credit, JS rendering costs 5, and premium proxies for hard targets cost 10-25 credits (depends on whether JS is used). New users receive 1K free API credits without requiring credit card information.

Read the ScrapingBee review for more information and performance tests.

5. ZenRows

Patreon scraping for those willing to invest.

Integration: API, proxy, or SDK
Data parsing: auto-parsing, templates for specific data types
Pricing model: subscription
Pricing structure: credits
Customer support: live chat, email
Pricing starts at: $69/mo for up to 250K results
Free trial: 1,000 basic results/40 protected results

ZenRows offers web scraping through its Universal Scraper API, which has specialized endpoints for several popular targets, but not for Patreon. Still, the generic scraper should be enough – the provider is no slouch.

The Universal Scraper API comes with anti-bot and CAPTCHA bypass, smart rotating proxies, headless browser rendering, and user agent rotation. The documentation provides ample examples of how to use CSS selectors to get what you want, so if you combine that and the platform capabilities mentioned before, you’ll be scraping Patreon like a pro.

ZenRows uses a credit-based pricing model with complexity multipliers: basic requests cost $0.10/1K, JS rendering is 5x ($0.50/1K), premium proxies are 10x ($1.00/1K), and both combined are 25x ($2.50/1K). The free trial offers 1K basic or 40 protected results.

Chris Becker

Proxy reviewer and tester.

April 3, 2026

The post Best Patreon Scrapers of 2026 appeared first on Proxyway.

The Best AI Web Scrapers of 2026

Chris Becker — Tue, 31 Mar 2026 06:30:59 +0000

Best

Scraping is a technically involved task, no matter which way you cut it. However, the barriers to entry are always decreasing, especially now that AI has entered the field. In fact, LLMs are now actively used as a vital part of web scraping infrastructure. To help you make head or tail of all this, we’ve prepared this list of tools that could qualify as the best AI web scraper for different use cases. Read on to find out which ones stand out.

The Best AI Web Scrapers in 2026:

1. Decodo (formerly Smartproxy) – AI scraper with the most robust infrastructure.

Try with a 7-day free trial>

2. Oxylabs – AI scraper with some powerful tools.

Use the code Discount30 to get 30% off>

3. Firecrawl MCP – AI scraper with massive integration options.

Visit Firecrawl>

4. ScrapingBee – AI scraper for those with some technical skill.

Visit ScrapingBee>

5. Apify – A cornucopia of AI scraper options.

Use code 30PROXYWAY to get 30% off>

Why Use an AI Web Scraper?

Web scraper developers are trying to make their services easier and easier to use. However, for a novice, there are still some obstacles in the way. It’s not just about knowing what you want to scrape. It’s also about setting up the entire infrastructure and tweaking settings.

But with an AI-powered web scraper, you only need to know what you want and have money for the subscription fee. The rest is giving the web scraper instructions in natural language and waiting for the results to drop into your lap. As far as difficulty goes, this is the exact opposite of having to write your own scraper from scratch.

How Did We Choose AI Web Scrapers?

Any developer can talk the talk, but only some can walk the walk. So how does one separate the performance wheat from marketing chaff? By running tests. We test providers when we review them, and we also run larger tests to check the industry’s pulse.

Conveniently, our recent scraper API research touched upon many of the technical aspects that make for a good AI scraper. The test involved 15 popular scraping targets with around 6,000 unique URLs per, first sending two requests per second, then ten. So, to determine the best AI web scraper, we checked which providers offered AI scrapers and then ranked them by their API performance (based on sending two requests per second).

Apify is a special case as it’s more of an app marketplace than a single developer. As such, the results of its scraper varied wildly in both success rates and response times.

Provider	Avg. Success Rate	Avg. Response Time
Decodo	87.09%	15.22 s
Oxylabs	85.82%	16.76 s
ScrapingBee	84.47%	25.46 s
Firecrawl	33.69%	7.92 s
Apify	Varies	Varies

The Best AI Web Scrapers

1. Decodo

AI web scraper with the most robust infrastructure.

Geolocation: 195+ with country filtering.
Pricing model: subscription
Pricing structure: credits
Support: 24/7 award-winning support
Free trial: 3-day trial, 14-day refund
Pricing starts at: $19/mo for up to 38K requests

Decodo’s Web Scraping API is a powerful tool for doing what its title implies. However, if the target-specific templates aren’t enough, you can turn to the AI Parser feature.

First, you enter a URL and choose whether JavaScript is needed. The service then scrapes the page and asks you to enter your natural language prompt for the AI to use in parsing. The final step presents the output in JSON. It also provides parsing instructions you can then use to replicate this process in the Web Scraping API.

Naturally, all of these operations benefit from Decodo’s worldwide proxy infrastructure and experience from running regular scrapers. However, with the addition of AI to the mix, the final product is much easier to use if you don’t have much technical skill.

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

2. Oxylabs

Most powerful AI-based tools on the list.

Use the code Discount30 to get 30% off.

Geolocation: 195+ countries
Pricing model: subscription
Pricing structure: credits
Support: 24/7 via live chat, dedicated account manager
Free trial: 7-day trial for businesses, 3-day refund for individuals
Pricing starts at: $12/mo for 3K credits

Oxylabs offers a whole slew of AI-based tools in its AI Studio. But for our purposes, the most interesting one is the AI Scraper. As expected, this is an LLM-powered scraper that needs only a URL and some parameters in natural language to scrape.

That applies to JSON, CSV, or TOON outputs. You can provide your own schema as JSON or let the tool generate a schema for you based on natural language instructions. For Markdown and screenshots, you don’t need anything more than a URL.

AI Scraper, like the rest of the AI Studio, is priced by credits. If a request doesn’t need JS rendering, it costs one credit. JavaScript pushes that price up to four. Schema generation and parsed JSON outputs can increase the price further.

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

3. Firecrawl

AI scraper with massive integration options.

Geolocation: 195+
Pricing model: subscription
Pricing structure: credits
Support: email
Free trial: 3-day trial, 14-day refund
Pricing starts at: $19/mo for 3,000 credits ($6.33 CPM)

Firecrawl has several tools that can jockey for the title of AI scraper – Scrape and Crawl are both features that may use prompts. However, the king of that particular mountain is the brand new Agent. It is built for searching and scraping the internet with minimal effort or technical skill.

For this product, you don’t even need to provide a URL, though if you have a specific website in mind, this would naturally help. Additional options include providing a JSON schema to define the output, the choice of model for the Agent to use, and the credit limit. And you can integrate Agent with your AI of choice via MCP.

As a product, it’s priced on the complexity of the task, with harder tasks consuming more credits. There’s also the option to choose what model to use for Agent: Spark 1 Mini is for simple, high-volume extraction tasks, while Spark 1 Pro is for accuracy and dealing with hard-to-find data. All users also get five free runs a day.

4. ScrapingBee

AI web scraper for those with some technical skill.

Geolocation: 195+ with country-level filtering.
Pricing model: subscription
Pricing structure: credits
Support: email, chat (10 AM to 10 PM UTC+2)
Free trial: 1K API calls
Pricing starts at: $49/mo for 250,000 credits

ScrapingBee remains abreast with the newest developments in the scraping field, adding the AI Web Scraping API to its repertoire. It’s exactly what it says on the tin: an API that accepts parsing requests in natural language.

AI Web Scraping API is an added layer on its existing product. If you’re working with the request builder in the backend, you’ll only need to toggle the parameter AI query for a simple natural language request or AI extraction to use a JSON schema. That way, you won’t need to set CSS selectors or XPath by hand. You can still limit the AI scraper to specific CSS selectors with AI Selector.

In our tests, ScrapingBee showed itself well, even if it was on the slower side on average. This doesn’t change the fact that it remains a powerful tool with many options to fine-tune your scraping requests without ever having to write a line of code (if you’re using the dashboard). But if you want to do that, the documentation is detailed and contains many code examples.

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

5. Apify

A cornucopia of AI web scraper options.

Geolocation: up to 195, depending on the Actor and config
Pricing model: subscription, PAYG
Pricing structure: depends on the Actor
Support: email, chat
Free trial: a free plan with $5 platform credits
Pricing starts at: $29/mo

Apify is not a regular AI scraper developer – instead, it’s a platform where third-party Actors can be bought and sold. The website currently hosts over 19,000 such Actors, some developed in-house. What this means for you is that, with a single sign-up to Apify, you will be able to access a wide variety of tools, including competing Actors aimed at the same target.

When we ran the API tests, the results varied wildly based on target and scraper agent. Some had a very good showing, with over 5 requests per second. Others were slow, down to 0.01 requests per second, and some failed to work. Luckily, if you find an Agent that works for you, they can be integrated not only via APIs, but with various AI compatibility tools like MCP, Google ADK, and LangChain.

With that in mind, Apify can be a platform that will host your AI scraper dream, but it may also produce nothing at all. Good thing the free plan gives some space to try it out! You get a $5 credit. Apify’s rough estimate is that it costs $0.3 to run a single actor with 1 GB RAM for an hour. However, Actor developers set their own pricing schemes, so, for example, you may only be charged for successful responses.

Chris Becker

Proxy reviewer and tester.

April 1, 2026

The post The Best AI Web Scrapers of 2026 appeared first on Proxyway.

The Best MCP Servers for Web Scraping of 2026

Chris Becker — Wed, 04 Feb 2026 07:50:55 +0000

Best

MCP is the greatest thing to have happened to web scraping since AI scraping. Without it, getting an LLM to scrape websites would take a lot of up-front labor. And it would remain limited in what it can do. With MCP, the AI almost becomes your information-hoovering genie. So, in order to help you make the LLM gather data for you, we’ve created this list of the best MCP servers for web scraping.

The Best MCP Servers for Web Scraping in 2026:

1. Decodo (formerly Smartproxy) – overall best MCP provider

Try with a 7-day free trial>

2. Oxylabs – most powerful AI-based tools on the list

Use the code Discount30 to get 30% off>

3. ScrapingBee – best tool granularity

Visit ScrapingBee>

4. Nimbleway – best for scraping Maps data

Visit Nimbleway>

5. Firecrawl MCP – king of generic scraping tools

Visit Firecrawl>

Notable Market Participant We Haven’t Tested Recently:

Bright Data – offers structured web data

First deposit matched up to $500>

What is an MCP?

MCP – or Model Context Protocol – is an Anthropic-developed standard for creating an interface for LLMs to interact with various tools. This allows AIs to be proactive: rather than relying on their training data, they can both draw data in real-time from third-party tools and use those tools like any user would.

Previously, even with APIs at hand, you had to custom-craft the integration for every model and every tool. But MCP standardizes those interactions, allowing any LLM to send natural-language requests that the server can “translate” for the service. Once the data comes back, the server returns it in a format the AI can use.

As long as the developer (or some adventurous volunteer) creates the MCP server, any AI should be able to use it. This allows an AI to, say, access Flightradar24 public data live, get the information on the flights you care about, then add them into a database of your choice, and then post that data on the signs in your Minecraft server (we found at least two MCP servers for Minecraft).

Why Do You Need an MCP for Web Scraping?

Web scraping has already seen significant advances in automation, first via web scraping APIs and then by using AI for scraping. Yet the human hand is still needed to get the processes and tools to work together. Large-scale scraping would be nearly impossible without tools like proxies, and is heavily enabled by scrapers developed for specific websites.

MCP servers put all those tools at the invisible fingertips of the LLMs. As such, you only need to set up the model and the MCPs, and much of the remaining work will consist of you telling the AI what you want to do – from that point on, the model will be utilizing the tools exposed by the MCP to do it.

Moreover, it integrates the AI more deeply into the web scraping chain. Without MCP, the work of the model would end with delivering data. But with MCP, a single natural language command will be enough for the LLM to not only scrape the website but also sort the data into databases and format it in ways fit for human consumption.

How Did We Determine the Best MCP Servers for Web Scraping?

An MCP developer can expose all the tools in the world, but none of them would matter if their infrastructure didn’t work. However, here at Proxyway, we carried out scraper API research, examining how well they performed with various targets. Several of those developers created MCP servers that turn their APIs into tools for AI, and our data shows roughly what you can expect from them.

The test targeted various popular websites (think Google, Amazon, Shein, G2) and tested the API success rate and response time. For this list, we chose the average success rate and average response time, both at 2 requests/second. Here’s what the final table looks like:

Provider	Avg. Success Rate	Avg. Response Time
Decodo	87.09%	15.22 s
Oxylabs	85.82%	16.76 s
ScrapingBee	84.47%	25.46 s
Nimbleway	47.72%	21.1 s
Firecrawl	33.69%	7.92 s

The Best MCP Servers for Web Scraping

1. Decodo

Overall best MCP provider.

Geo locations: 150+ countries with ZIP for Amazon, city & coordinates for Google
Support: award-winning 24/7 support via chat or email
Pricing model: based on successful requests
Pricing structure: subscription
Pricing starts at: $0.50 for 2k requests ($0.88 CPM)
Free trial: 14-day money-back option or 7-day trial

The Decodo MCP is great for scraping some of the largest websites there are. Scrape_as_markdown is the generic tool, and it works with any website. For marketing purposes, Google and Amazon search parsers will do wonders. As for the two Reddit tools, well, there’s a reason why LLMs rely on Reddit so much, and your model can now do it live.

As Decodo displayed great overall results in our scraper API research, you can also expect it to do well when those tools are put to AI use. A good average success score is great if scrape_as_markdown is expected to see heavy use, though you may still want to check the results for specific targets. As our API research showed, some of them (G2, Shein) proved to be very hard to crack for anyone.

Now, for the pricing. You’ll need credits to use the MCP, with costs depending on how resource-heavy your requests are. In other words, simpler jobs can stay cheaper, while features like JavaScript rendering or a stronger proxy pool will eat up more credits. So, if you’re using the APIs exposed as MCP tools with more advanced settings, expect the price to scale accordingly.

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

2. Oxylabs

Most powerful AI-based tools on the list.

Use the code Discount30 to get 30% off.

Geo locations:150+ countries with ZIP for Amazon, city & coordinates for Google
Support: 24/7 via live chat, dedicated account manager
Pricing model: based on successful requests
Pricing structure: subscription
Pricing starts at:
-$49 for up to 98k results ($0.5 CPM) (Web Scraper);
-$12/mo for 3k credits ($4 CPM) (AI Studio)
Free trial: 7-day trial for businesses, 3-day refund for individuals

Oxylabs built its MCP by turning its web scraper API and AI studio products into tools for AI. The former brings to the table a generic scraper, a Google and Amazon search results scraper, and a scraper specifically for Amazon products. The latter puts AI in your AI, with four generic scraping tools that provide structured data by way of an LLM.

Overall, Oxylabs is so good at targeting Amazon that we gave it the #2 spot on our Amazon scraper list. When it comes to generic scrapers, well, there’s a reason why the company maintains the same place on this list. If you’re going after targets that don’t have or don’t warrant specific tools for, Oxylabs is probably your best choice.

Now, to get the complete package, you’ll need subscriptions for both Oxylabs Web Scraper API and the Oxylabs AI studio. If you don’t care about either half of these MCP tools, just get the one subscription you care about.

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

3. ScrapingBee

Best tool granularity.

Geo locations: 150+ countries (only with premium proxies), ZIP code for Amazon
Support: email or live chat (Monday to Friday, 10 AM to 10 PM UTC+2)
Pricing model: credits
Pricing structure: subscription
Pricing starts at: $49 for 250k credits
Free trial: 1K credits for 14 days

The ScrapingBee MCP rhymes, but also comes with an interesting slew of tools. Four of them will allow your model to do some pretty basic tasks: scrape all the text in the page, get the HTML or a screenshot, or even download a specific file (PDF, image, etc). Most of the rest are meant to crack usual targets, like Google, Amazon, or Walmart SERP, or scrape specific products for the two commercial sites (Walmart data can even be localized by store or ZIP code). Lastly, there’s a tool for scraping ChatGPT answers.

Going by performance, ScrapingBee definitely earns its number three spot. In our tests, it showed success rates above 90% for Amazon, Google, and Walmart. And while it shows the highest average response time among the developers in this list, that is the price you pay for quality.

Now, the actual price is closer to $ItDepends. A ScrapingBee subscription gets you access to the MCP. How much you’ll be getting out of it depends on the difficulty of your targets. While you pay for 250,000 credits, the cost of a single request ranges from one (rotating proxy and no JS rendering) to 75 (stealth proxies and JS).

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

4. Nimbleway

Best for scraping Maps data.

Geo locations: 150+ countries with state & city targeting
Support: live chat on the dashboard, email, Slack, Microsoft Teams, and Discord
Pricing model: based on successful requests
Pricing structure: PAYG, subscription
Pricing starts at: $150 (CPM $2.8) (53k requests)
Free trial: Available

Nimbleway offers a lot in the way (get it?) of generic tools. For example, extract is for scraping URLs you already know, while deep_web_search is for looking up websites via Google, Bing, or Yandex and then scraping them. The Google options are self-explanatory; it also marks the first time map data tools appear in this article. Lastly, the targeted_engines tool is for listing available pre-trained scraping templates, showing what websites and data can be scraped with targeted_retrieval.

The success rates start dipping as we exit the top three positions on the list, but that’s not the whole picture. Any results, good or bad, were hard to verify some time after we ran our research. This can depend on a variety of factors, from the changing website infrastructure messing with the scrapers to the simple fact that some developers specialize in scraping specific targets, which means that their average score is dragged down by targets they haven’t optimized for.

To get to Nimbleway’s MCP tools, you’ll need the API key. And while a PAYG option is available, the basic subscription tier starts at $150 for 150 credits. Going by the stated CPM, that’s enough to make more than 53,000 requests.

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

5. Firecrawl MCP

King of generic scraping tools.

Geo locations: 26
Support: email
Pricing model: credits
Pricing structure: subscription, extra credits
Pricing starts at: $19/mo for 3k credits
Free trial: 500 credits

Firecrawl MCP puts all of the Firecrawl products under a single roof in – to torture the metaphor – a neighborhood that is easily accessible to LLMs. Under the laconic titles of Scrape, Crawl, Map, and Search lie the capabilities any LLM tasked with web scraping would find helpful (if it were a person).

After integrating in one of many, many documented ways, Firecrawl allows an LLM to scrape URLs one by one or in batches. At its most basic, the crawl functionality actually goes through the links to scan pages under a single domain without needing a prior site map. At the far end of the spectrum, there’s deep research, which does lengthy, time-consuming, LLM-based research.

The basic parameters for using MCP are concerned with how hard you want to push your luck with retries. This would seem woefully not enough if not for the fact that the specific tools have their own parameters as well.

Notable Market Participant We Haven’t Tested Recently:

Bright Data

Offers structured web data.

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

Geo locations: 200
Support: email, tickets, WhatsApp, Telegram, phone
Pricing model: based on successful requests
Pricing structure: PAYG, subscription
Pricing starts at: $1 ($1.5 CPM)
Free trial: 5,000 credits

Bright Data is a significant participant in the proxy and scraping sphere – big enough that we can’t ignore them even without having tested their API recently. Especially when the Bright Data MCP exposes around 70 tools. However, there’s a slight trick to them: the majority of those tools aren’t for scraping. Instead, they allow an LLM to access “structured and validated” web data from 190+ datasets covering 120+ domains like LinkedIn, Amazon, and Instagram.

When it comes to paying for all these goods, things get a little tricky. Free tier gives you access to web search and a general-purpose Markdown scraper. However, browser control and structured data tools require getting a paid plan.

Unfortunately, the PRO tier has its downsides: exposing all the tools at once eats into your tokens even before you manage to do anything. To solve that issue, Bright Data introduced tool groups that limit what gets exposed when. The provider claims that this reduces token consumption by 60%.

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

Chris Becker

Proxy reviewer and tester.

March 23, 2026

The post The Best MCP Servers for Web Scraping of 2026 appeared first on Proxyway.

The Best Shein Web Scrapers of 2026

Chris Becker — Tue, 13 Jan 2026 07:59:12 +0000

Best

Shein has been a staple of fast fashion for years now. Naturally, this makes it catnip not only for teens with bad spending habits, but also for competitors, business analysts, and researchers looking for e-commerce data.

Unfortunately for them, Shein is one of the toughest cookies to crack when it comes to web scraping. But the precise technical reasons behind that – and the ways to overcome it – are for web scraping businesses to explore and exploit. Our competence is in testing how successful they are at cracking those defenses. That’s how we made this list of the best Shein scrapers of 2026.

The Best Shein Scrapers of 2026:

1. Oxylabs – The most successful Shein scraper.

Use the code Discount30 to get 30% off>

2. ScrapingBee – Highly-customizable Shein scraper.

Visit ScrapingBee>

3. Decodo (formerly Smartproxy) – Attractively-priced Shein scraper.

Try 100MB for free>

4. Zyte API – The cheapest Shein scraper.

Visit Zyte>

5. ScraperAPI – Best Shein scraper response time.

Visit ScraperAPI>

Why Scrape Shein?

Why do we do anything at all? To get more data, which will help us make better decisions in the fast fashion industry. As such, scraping Shein data – both individual products and product lists – can be beneficial in many ways:

Competitive pricing: large-scale data scraping has always been a good way to keep tabs on the competition and what their pricing is. And if you’re not running either a high-end or highly specialized clothing brand, you’re competing against Shein by default.
Trend and demand prediction: if Shein is pushing something, maybe it’s the hot new thing that all the buyers crave? It may be too late for you to spin up a whole new line of clothing, but if you’re merely curating an online store, you may get some ideas about what to source.
Customer sentiment analysis: what are all those Shein customers talking about? Maybe you can fill the gaping hole in their hearts and demands with cheap clothing of your own.
Selling data sets: you don’t have to scrape data for yourself – at the same time, people who may need Shein data may not be that hot on doing their own scraping. As such, there is a market for scraped and parsed data out there.

How We Made the List

The rankings on the Shein scraper list are based on how the particular developers performed in our 2025 scraper API research. The table below shows the success rates and response times when sending Shein two requests a second.

For all the scrapers involved, we had to enable JavaScript rendering and (for ScrapingBee and ScraperAPI) stealth/ultra premium proxies. Then, to arrive at a unified measure for CPM (price per 1,000 requests), we projected what the cost would be if you spent $500.

Note: our research showed that Shein, G2, and Hyatt were the most challenging targets to access. As such, the numbers presented here look worse than they would on a list dedicated to easier websites. Keep that in mind while reading: other providers we benchmarked did much worse, and even these results weren’t always possible to replicate shortly after the test.

Provider	Success rate	Response time	CPM at $500
Oxylabs	62.58%	47.35 s	$1.15
ScrapingBee	51.78%	67.07 s	$5.99
Decodo	36.59%	50.50 s	$1.10
Zyte	34.22%	46.80 s	$1.02
ScraperAPI	22.26%	39.39 s	$7.12

The Best Shein Scrapers

1. Oxylabs

The most successful Shein scraper.

Use the code Discount30 to get 30% off.

Integration: API (real-time or async), proxy, MCP
Data parsing: manual instructions (XPath, CSS, Regex) with savable presets, dedicated endpoint, AI parser generator
Locations: 150+
Pricing model: subscription; based on successful requests
Pricing starts at: $49/mo for up to 98K requests
Free trial: 7-day trial with 2K results

Oxylabs’ Web Scraper API comes with a dedicated Shein search results scraper. And with Oxylabs taking the number 1 spot as far as the success rate-scrape time combo goes, it doesn’t get any better than this. For anything other than search, you’re encouraged to use the generic scraper.

The specialized API endpoint accepts a few parameters: search query, starting page number, JS rendering, your device type, and where you want your data delivered. The results will come in HTML. You can manually specify selectors to parse or use AI Copilot to build custom parsers with instructions in natural language. Said scraper will format the output in JSON or Markdown.

Outside of these specifics, Oxylabs, as always, delivers plenty of integration options and quality infrastructure. The CPM of $1.15 at $500 spend is also nothing to sneeze at.

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

2. ScrapingBee

Highly-Customizable Shein scraper.

Integration: API (real-time), proxy, SDK, MCP
Data parsing: manual or AI-generated parsing instructions
Locations: 150+
Pricing model: subscription and credits
Pricing starts at: $49/mo for 250K credits
Free trial: 1K free API credits

While ScrapingBee doesn’t have a dedicated Shein scraper, you can use its HTML request builder to configure the API however you need.

The HTML request builder allows you to set up JS rendering and JS scenarios, custom headers, cookies, AI queries, extraction rules, and so on. So if you have some technical knowledge and know what you’re looking for, you’ll probably extract the data you want. It may take a while, however – ScrapingBee has the longest turnaround time in our top five.

The price will heavily depend on just how many extra features you’ll need to apply to successfully breach Shein and make off with the latest data on designer pantaloons. $599/mo gets you 8,000,000 credits. However, if you want special stealth proxies, JS rendering, and AI extraction, you’ll be paying up to 80 credits per scrape.

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

3. Decodo (formerly Smartproxy)

Attractively-Priced Shein scraper.

Try 100 MB for free.

Integration: API (real-time or async), SDK, or MCP
Data parsing: manual or AI-generated parsing instructions
Locations: 150+
Pricing model: subscription; based on successful requests
Pricing starts at: $0.50 for 2k requests (Standard plan)
Free trial: 7-day free trial with 1K results & 14-day money-back guarantee

Taking the #3 spot on our list is Decodo Web Scraping API; generic, sure, but capable of scraping Shein. Here, you have two options. The first one is just chucking a URL into the Web Scraping API and fetching the unstructured output. The second one is opening the AI parser and giving it some natural language instructions to get the structured data you desire.

However, none of those capabilities would matter if you couldn’t get Decodo working in the first place. So, you may be interested to know that the tool integrates as an API (real-time, async), SDK, or MCP. It can output scraped data as HTML, Markdown, or XHR.

Decodo prices the API with credits, so scraping Shein will likely cost more, since targets like this often need JavaScript rendering and stronger infrastructure. Even so, the setup can still work well value-wise, because simpler requests don’t have to carry the same cost as the tougher ones.

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

4. Zyte

The cheapest Shein scraper.

Integration: API (real-time), proxy, or SDK
Data parsing: automatic extraction model for e-commerce (product, product list, product navigation), LLM schemas and transformation
Locations: 150+ locations with country-level targeting
Pricing model: pay as you go, subscription
Starting price: $1.01 of 1K responses
Free trial: $5 platform credits for 30 days

Zyte doesn’t have a dedicated Shein endpoint, but the general-purpose API is able to scrape Shein relatively well, and you can even parse its product pages. It can do so with the (admittedly generic) pre-trained machine learning models.

The default parameters for this spider can scrape product data (price, availability, etc.) for a single item, while product list and product navigation parameters are helpful for discovery. And if Zyte’s browser manipulation parameters aren’t enough, you can turn to the Zyte IDE and use a TypeScript API to write your own scripts.

As far as the pricing goes, the Zyte cost estimator gives a CPM of $1.02 at 490.000 shein.com requests. Discounts start applying the higher you go, though PAYG ends at the $100 mark – you need a subscription to reach the $500 mark.

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

5. ScraperAPI

Best Shein scraper response time.

Integration: API (real-time or async), proxy, SDK, no-code
Data parsing: not available
Locations: 70 with country-level targeting
Pricing model: credits; based on successful requests
Pricing starts at: $49 for 100K credits
Free trial: 7-days and 5K credits

ScraperAPI may be our best G2 scraper, but even it struggles to penetrate Shein. Nevertheless, it’s basically the only option you have left if the other four on our list didn’t work for you. Somewhat unsurprisingly, it doesn’t offer a dedicated Shein endpoint, only a generic scraping API.

Said API has plenty of integration modes, accepts GET and POST requests, and delivers results either over an open connection or via webhook. You can choose your results to come in HTML, text, or Markdown. ScraperAPI comes with its own proxies, but only the US or EU (as regions) are available at the two lowest subscription levels.

You may want to splash some cash anyway, since scraping Shein necessitates JS rendering and premium proxies.

Chris Becker

Proxy reviewer and tester.

March 23, 2026

The post The Best Shein Web Scrapers of 2026 appeared first on Proxyway.

Best Browser Proxy Extensions in 2026

Chris Becker — Wed, 23 Jul 2025 09:09:05 +0000

Best Browser Proxy Extensions in 2026

Webshare Proxy Extension – quality free proxies included.

Try the Webshare extension>

Oxylabs Proxy Extension – for Chrome users.

Try the Oxylabs extension>

Decodo (Smartproxy) Extension – best for Decodo users.

Try the Decodo extension>

IPRoyal Proxy Manager – basic but good.

Try the IPRoyal extension>

BP Proxy Switcher – great browser support.

Try the BP extension>

Best Browser Proxy Extensions in 2026

ZeroOmega – the Proxy SwitchyOmega inheritor.

Try the ZeroOmega extension>

FoxyProxy Extension – powerfully versatile.

Try the FoxyProxy extension>

What Is a Browser Proxy Extension?

Browser extensions are third-party add-ons that increase the functionality of your browser. Proxy extensions are a subtype that’s meant to make dealing with proxies easy.

For example, Google Chrome doesn’t even handle proxies natively – in order to use them, you’ll have to go through system settings for your OS. Firefox, on the other hand, comes with proxy support. But it still means diving into the browser settings whenever you want to change anything.

Enter browser proxy extensions. They make handling multiple proxies easy – you can put the shortcut right there in the toolbar. With a click, you can then turn proxy connections on or off, or switch between them effortlessly. And some come with a lot more functions that would be interesting for pro users.

What Makes a Good Browser Proxy Extension?

To determine what the best browser proxy extensions are, we evaluated:

Browser support: even if nearly anyone uses Google Chrome (or a Chromium-based browser), different users have different needs. So if an extension is available on more browsers, it’s better.
Any proxy provider: some proxy extensions are developed by proxy providers. Will those extensions allow you to use third-party proxies is an important consideration.
Included proxies: does the proxy extension already bundle proxy servers with it? It’s a nice benefit whenever an extension comes from a proxy provider or if you’re just starting. Free proxies are unreliable at best, so having an extension already come with proxies from an actual established proxy provider is a great perk.
No account: we’re all suspicious of anything that asks you to create an account; the most comfortable browser proxy extensions let you work without providing any data.
Additional features: a grab-bag of features that the proxy extension provides on top of the basics, like autorotation, cache clearing, and so on.

When choosing a browser proxy extension, you should keep your privacy and security in mind. All of these extensions will require, at the very minimum, “access your data for all websites.” They may not work without the permission for Incognito windows. This is a lot of power to place in the hands of a third party, so make sure it’s a reliable one.

But these are the considerations to take. We can now continue to the list, split between proxy suppliers and open source proxy extensions. Open-source projects are open to public scrutiny and require no account while supplier-provided extensions may offer benefits like built-in proxy servers.

Best Open-Source Proxy Browser Extensions of 2026

1. ZeroOmega

The Proxy SwitchyOmega Inheritor

Browser support: Google Chrome, Mozilla Firefox, Microsoft Edge
Account needed? No
Proxies included: None
Additional features:
- Tutorial
- SOCKS4 support
- CSS support for themes
- Network monitor

ZeroOmega is the dominant fork of the venerable Proxy SwitchyOmega proxy extension. Coming onto the field after the original maintainer decided not to rewrite the extension for Chrome’s Manifest V3, it provides all the basics you need.

The extension pop-up lets you quickly switch between different proxy profiles. You may also set a different proxy for the current browser window. In-depth controls are handled in a separate Options page.

ZeroOmega supports HTTP, HTTPS, SOCKS4, and SOCKS5 proxies. A single proxy profile can handle a multiproxy (default, HTTP, HTTPS, FTP) connection as well as a bypass list. The auto-switch profile is there if you want to set up different proxies for different domains. You can also upload such rule lists, sync with Gist, and import your settings from other Proxy SwitchyOmega forks.

Two of the most surprising features of ZeroOmega are the tutorial and themes. As you open the browser dashboard for the first time, you are taken on a guided tour of the basic functions. This is tremendously helpful for new users. This attention to UX is also evident in the explanations scattered around the interface. As for the themes, ZeroOmega supports modifying the UI with CSS.

While not too flashy or technically complex, ZeroOmega is good enough for us to use it.

2. FoxyProxy Extension

Powerfully Versatile

Browser support: Google Chrome, Mozilla Firefox, Microsoft Edge
Account needed? No
Proxies included: None
Additional features:
- IP and location check
- Import from multiple sources
- Use proxies in Incognito and containers
- Pattern testing
- Log

FoxyProxy has three browser extension offerings: FoxyProxy Standard, the nearly identical FoxyProxy Basic, and premium GeoShift. All three are available on Chrome and Firefox while Edge only gets access to Basic. The differences between the free extensions are negligible: Basic offers fewer filters in the pop-up interface, but both use the same browser window UI.

GeoShift doesn’t even allow entering a proxy address without an account, so it can be considered a different product altogether.

Neither FoxyProxy Standard nor Basic need an account or provide proxies for you. They accept proxies from any provider and support not only HTTP(S) and SOCKS5, but also QUIC (only on Chrome), and rarer formats like Shadowsocks or TOR. You can also access the log, check your proxy server’s IP and location, and set proxies for Incognito mode and Firefox container tabs. For those just starting to dabble with setting wildcard properties for proxies, the Pattern testing tab exists.

All in all, FoxyProxy is probably the most in-depth tool in the list, even if the presentation looks a bit dated. If you need help taking the first steps with it, we have a tutorial.

Best Provider Browser Proxy Extensions of 2026

3. Webshare Proxy Extension

Quality Free Proxies Included

Browser support: Google Chrome
Account needed? Yes
Proxies included: 10 free + ability to buy more
Additional features:
- Access to Webshare dashboard and that’s it

Of the proxy managers covered in this list, the Webshare proxy extension is the least friendly to users who want to bring their own proxy servers. First off, you can’t just install the extension and start adding proxies. You need to register for an account.

Ten free datacenter proxies are included with the registration, which is a tremendous benefit. If you would normally have to turn to free public proxies of dubious quality, Webshare proxies are good, can come from any of 40 countries – even if the IPs are not dedicated and you’re limited to 1Gb monthly traffic.

The Webshare proxy extension is an easy way to manage your Webshare proxies if you’re a Webshare user. If you’re just starting out with proxy-related activities or want to try the supplier’s stock, it’s a great way to do so.

4. Oxylabs Proxy Extension

For Chrome Users

Browser support: Google Chrome
Account needed? No
Proxies included: 5 free + ability to buy more
Additional features:
- Switch for keeping the proxy connected after restarting the browser

Oxylabs Proxy Extension comes from one of the more prominent participants in the proxy server market. It is, however, a fairly basic affair. Available only on Chrome, it puts most of the settings in the browser dashboard. The extension pop-up is merely there for switching between proxies.

The browser dashboard allows you to add new proxies (including JSON imports/exports) and set up a global bypass list. The settings section is there for you to switch to dark mode. More advanced users will appreciate the option to keep the proxy session active after a browser restart. On the other hand, if you’re a beginner, you’re incentivized to register with the offer of 5 free datacenter proxies in the US.

5. Decodo (Smartproxy) Extension

Best For Decodo Users

Browser support: Google Chrome, Mozilla Firefox
Account needed? No
Proxies included: 100MB trial + paid provider
Additional features:
- Cache clearing

Decodo (Smartproxy) Extension is a simple thing that nevertheless runs entirely in the extension pop-up. Setting up proxies, assigning them to profiles, and clearing your cache is all done through said window.

If you are a Decodo user, you manage any proxies you already have configured with usernames and passwords. You can also be directed to the dashboard to buy more. The extension can also direct you to the documentation.

For new users, Decodo offers a three-day trial for multiple proxy types, including residential proxies. This contrasts with other trials that, while more generous, only give you access to datacenter IPs.

6. IPRoyal Proxy Manager

Basic But Good

Browser support: Google Chrome, Mozilla Firefox
Account needed? No
Proxies included: Paid provider
Additional features:
- IP lookup link in the pop-up window

IPRoyal Proxy Manager comes from IPRoyal, a proxy provider. It is the most basic entry on the list – at least as far as proxy managers set up via a browser window go. Once you launch the extension, you are treated with a search window, a button for settings, and a button for IP Lookup. The latter takes you to the IPRoyal page for, well, looking up your IP.

If you click the settings button, it will take you to the browser dashboard. Here, you can manage your list of proxies – starting with none, as the extension doesn’t come with any. You can then continue to buy some from IPRoyal or set up any third-party proxies you already have. Single and multi-proxy (HTTP(S), FTP, and fallback) setups are available, and so is authorization via IP whitelisting.

7. BP Proxy Switcher

Great Browser Support

Browser support: Google Chrome, Mozilla Firefox
Account needed? No
Proxies included: 100MB trial + paid provider
Additional features:
- Settings for what to wipe (passwords, WebSQL etc.) when switching proxies
- Proxy autorotation
- Options to choose the user agent

BP Proxy Switcher is one of the few browser proxy extensions that run entirely in the pop-up window. Adding proxies is just copying the full address into the window, one per line, or loading from a URL with a .txt file.

So BP Proxy Switcher has all the basics, plus the option for autorotation (based on a timer), deleting passwords and such when switching proxies, and the choice of user agent (if you need your target to believe your machine is running Windows NT).

While it’s not the most powerful option out there, BP Proxy Switcher has its special features to set it apart from the crowd.

In Conclusion

There you have it: some of the best, most widely adopted browser proxy extensions. While not all of them have the same wide array of options, they have all been trusted by thousands of users. So choose the one that best fits your needs.

Chris Becker

Proxy reviewer and tester.

July 23, 2025

The post Best Browser Proxy Extensions in 2026 appeared first on Proxyway.

The Best Scraping Browsers For Your Project

Adam Dubois — Wed, 30 Apr 2025 09:15:09 +0000

The Best Scraping Browsers of 2026:

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 2026

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.

Adam Dubois

Proxy geek and developer.

April 30, 2025

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

The Best Sales Datasets of 2026

Adam Dubois — 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 2026:

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 your first purchase>

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 2026

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.

Adam Dubois

Proxy geek and developer.

April 15, 2025

The post The Best Sales Datasets of 2026 appeared first on Proxyway.

The Best Glassdoor Datasets of 2026

Adam Dubois — 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 2026:

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 your first purchase>

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 2026

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.

Adam Dubois

Proxy geek and developer.

April 8, 2025

The post The Best Glassdoor Datasets of 2026 appeared first on Proxyway.

The Best E-Commerce Product Data Providers of 2026

Adam Dubois — 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 2026:

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

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

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.

Adam Dubois

Proxy geek and developer.

April 4, 2025

The post The Best E-Commerce Product Data Providers of 2026 appeared first on Proxyway.

The Best Job Posting Data Providers in 2026

Adam Dubois — 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 Top Job Posting Data Providers of 2026:

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 your first purchase>

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. Finally, 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. As such, you can retrieve only the necessary data points without having to manually scrape websites.
Pre-collected datasets are the simplest way to get job information. These are 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 fresh 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: build and maintain the scraper, navigate website structures, 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, high volume can also mean more data to manage and analyze, so you should assess whether the scope 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.

Note that some providers may not disclose these details upfront. In such cases, it can be hard 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, 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 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 nearly 400 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 600 million job posting records from four category sources: Professional Network, Indeed, Glassdoor, and Wellfound (Angellist) jobs. The datasets are delivered in multiple 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.

Adam Dubois

Proxy geek and developer.

July 22, 2025

The post The Best Job Posting Data Providers in 2026 appeared first on Proxyway.

The Best G2 Web Scrapers of 2026

Adam Dubois — Tue, 07 Jan 2025 08:24:46 +0000

The Best G2 Scrapers of 2026:

1. Scraper API – The fastest G2 scraper.

Visit ScraperAPI>

2. Crawlbase – G2 scraper for product reviews.

Visit Crawlbase>

3. Zyte API – G2 scraper with modular pricing.

Visit Zyte>

4. ZenRows – G2 scraping with full format support.

Visit ZenRows>

What Is G2 Scraping?

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

Gauging user sentiment: If you’re in the software 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 scrape its reviews to see if it suits your needs (or works at all).
Measure the competition: G2 categorizes tools that have a similar purpose. For example, you can compare video conferencing platforms like Google Meet, Microsoft Teams, Zoom, or Skype (RIP). Scraping these lists can help identify your business’s competitors. Looking at their reviews can inform you about what they do well, or what pain points their customers have that could turn into lucrative opportunities for your product.
Building provider databases: 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.

Or you can go wild and combine the data you scrape from G2 and its competitors (Capterra, etc.) to launch your own, AI-assisted Metacritic for software.

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, there are several good scraping practices you should follow.

Most of all, you should be particularly careful with scraping personal user information. Reviews are written by registered G2 users who might have their names, photos, and personal details exposed in their profiles. Your jurisdiction may have specific rules for collecting and using personal data.

Can You Scrape With the Official G2 API?

G2 offers an official API for collecting specific data from the website. However, consumers don’t seem to be the greatest fans of having G2s approval for their scraping or any limits (especially on scrape rates) that it may impose. If the official API does not meet your expectations, you can choose other scraping methods, too.

Types of G2 Scrapers

If you’re not interested or unsatisfied with what the official G2 API can offer, your tool selection depends on your preference, budget, and the type of data you plan to scrape. Typically, you can choose from these three methods to collect data from G2:

No-code tools. If you don’t have the programming skills to scrape G2, you can use no-code scrapers. These tools let you 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. Or, if the data doesn’t need to be super fresh, you can buy 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’s reliant on having a lot of coding experience.
Third-party scrapers. Third-party scrapers are designed to scrape G2 and other websites, so you won’t need to worry about maintaining the scraper infrastructure yourself. They usually come with great geolocation coverage, parsing capabilities, and other valuable features. The two most popular types of scrapers are scraper APIs and proxy-based APIs. Both rotate IPs, handle CAPTCHAs and other anti-bot protection measures, apply the right browser headers, fingerprints, and more. Here’s how they differ:
- Scraper APIs integrate as an HTTP API, so all you’ll have to do is send the request, and the tool will handle everything else for you. Scraper APIs often include more features like data parsing capabilities and request batching.
- Proxy-based APIs, on the other hand, integrate as proxy servers. However, they often lack a built-in parser to structure your data.

How We Made the List

The G2 scraper list is based on the data we gathered for our scraping API research (go read it). Our testing script ran 6,000 URLs at 2 req/s, with a timeout of 600s – those results are reflected in the table below.

It bears noting that of all the targets we ran, Shein, G2, and Hyatt proved to be the hardest to crack. That’s why both the success rates and response times are less impressive than with some less restrictive websites. What’s more, the results were sometimes impossible to repeat after a period of time.

For this list, we also calculated what the CPM would be when spending $500 to scrape G2. This is usually higher than the basic starting costs due to the higher demands of such a target. As such, the CPM accounts for JavaScript rendering capability and (for ScraperAPI and ZenRows) premium/stealth proxy use.

Provider	Success rate	Response time	CPM at $500
ScraperAPI	99.97%	4.77 s	$7.12
Crawlbase	96.91%	23.52 s	$2.55
Zyte API	92.60%	32.33 s	$7.68
ZenRows	54.57%	45.83 s	$2.07

The Best G2 Scrapers

1. ScraperAPI

The fastest G2 scraper.

Integration: API (real-time or async), proxy, SDK, no-code
Data parsing: no
Locations: 70 locations and country-level targeting
Pricing model: credits, based on successful requests
Pricing starts at: $49/100K credits
Free trial: 7-days and 5K credits

ScraperAPI is the best G2 scraper of any that we tested. That said, it does not offer a dedicated G2 scraper – you have to use the general-purpose API

Scraping API comes with 70 geolocation options that allow targeting down to the country level, though you need to pay a lot more than the introductory rate to unlock them; otherwise, your options will be either the US or the EU. It supports GET and POST requests, while the results are delivered either via webhook or an open connection. The results are formatted in HTML, text, or Markdown – unfortunately, unparsed.

Our performance tests showed that ScraperAPI handled G2 wonderfully. The scraper’s success rate was consistently over 99%, and it was the fastest among our contestants.

As for the costs, the playground shows the basic price of scraping a G2 page to be 30 credits. However, that number can grow as you add features like premium proxies and rendering. In general, ScraperAPI pricing tends to be on the more expensive side.

2. Crawlbase

G2 scraper for product reviews.

Integration: API (real-time or async), proxy, SDK
Data parsing: JSON
Locations: 20 with country-level targetting
Pricing model: based on successful requests
Pricing starts at: $42.80 (basic)/$85.60 (JS rendering)
Free trial: 3-day trial available

Crawlbase is another solid choice for scraping G2, especially since it has a dedicated endpoint for the website. That review parsing endpoint makes it a powerful contender for the #1 spot.

Unfortunately, the location selection is limited to a paltry 20 countries. Otherwise, Crawlbase provides quality capabilities. JS rendering, custom headers, device type and browser options, and more are supported. No Markdown or plain text output, though – your results in JSON will be delivered over the API and Crawlbase’s own cloud storage.

The success rate of the crawler gives it top marks, but it is held back by the response time. It is significantly longer than that of the reigning champion, but still much faster than the competitors.

3. Zyte API

G2 scraper with modular pricing.

Integration: API (real-time), proxy, or SDK
Data parsing: product, product list, product navigation
Locations: 150+ locations with country-level targeting
Pricing model: pay as you go, subscription
Pricing starts at: $1.01
Free trial: $5 platform credits for 30 days

If you’re not new to scraping, you’re probably familiar with Zyte. And if you turn to it for your G2-scraping needs, you’ll get a general-purpose scraper.

Zyte API integrates as a real-time API, proxy server, or via an SDK. It has AI spiders for extraction and parsing purposes. However, it doesn’t offer a G2-specific template, so you’ll either have to put in some work to figure out which one fits G2. Still, to really fit your use case, you may need to use a TypeScript API to write your own scripts in the Zyte IDE.

The tool is one of the most performant scrapers we tested. While the success rate would almost warrant a higher placement on the list, it’s the response time – full 10 seconds longer than the #2 offers – that keeps the rating lower.

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

4. ZenRows

G2 scraping with full format support.

Integration: API (real-time), proxy, or SDK
Data parsing: product, search
Locations: 150+ locations with country-level targeting
Pricing model: credits, based on successful requests
Pricing starts at: $69 (250K basic/10K protected results)
Free trial: 14-day free trial with 1K results

ZenRows is another good choice for scraping G2 reviews, even if it doesn’t have a dedicated scraper. What can we say? G2 is one of the most challenging targets out there, and taking the #4 spot with these kinds of stats (54.57% success rate and 45.83-second response time) attests to that.

ZenRows integrates as a real-time API, proxy, and SDK. With no dedicated G2 parser, you will have to input selectors manually with CSS. Alternatively, you can use Autoparse and hope for the best. The latter method delivers results in JSON, but HTML, Markdown, plain text, and XHR are also supported.

When it comes to entry price, ZenRows offers one of the highest entry costs, but a very attractive CPM. Yet you still need to be mindful of the success rate.

When it comes to CPM, the website states that the $499 plan comes with 240K protected requests – and G2 is surely protected. We derived our CPM based on that price point. If we were to go by the playground estimates, one G2 request would cost around $0.0025, with a CPM of $2.5.

Adam Dubois

Proxy geek and developer.

January 6, 2026

The post The Best G2 Web Scrapers of 2026 appeared first on Proxyway.

Best Walmart Scrapers to Use in 2026

Adam Dubois — 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 2026:

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 Discount30 to get 30% 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 2026

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: $0.50 for 2k requests (Standard plan)

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 fairly affordable, but the eCommerce Scraper API no longer sits behind a fixed subscription with bundled features. Instead, pricing is credit-based, so lighter requests cost less, while features like stronger proxy pools or JavaScript rendering use more credits. That gives you more room to control spending, especially if not every target needs the full setup.

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 Discount30 to get 30% off.

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.

Adam Dubois

Proxy geek and developer.

March 23, 2026

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