The Best E-Commerce Product Data Providers of 2025
AI and automation have shaped the way we perceive information – it’s now essential to use large amounts of data to gain a competitive advantage. In this context, e-commerce datasets provide valuable insights into pricing trends, product availability, customer reviews, and marketplace dynamics.
However, let’s be honest, choosing the right provider for your needs isn’t always straightforward. So, what should you consider when evaluating e-commerce product data providers? Let’s find out.
The Best E-Commerce Product Data Providers in 2025:
1. Oxylabs – the best overall e-commerce datasets.
2. Bright Data – versatile e-commerce dataset provider.
3. Apify – the largest pre-made e-commerce product data template provider.
4. ScraperAPI – e-commerce product data from three major retailers.
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.
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.
Available tools
Various datasets and general-purpose scraping API, ability to create custom datasets
Data available from:
Amazon, Walmart, eBay, Lowes, Target
- 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.
Available tools
various datasets and job data APIs, customizable datasets
Data available from:
Amazon, Walmart, IKEA, Sephora, ASOS, Nordstrom, and more
- 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.
Available tools
Actors (different APIs), ability to develop a custom one
Data available from:
Amazon, Walmart, eBay, Vinted, Google Shopping, AliExpress, Etsy, and others
- 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.
Available tools
General-purpose API with endpoints for Amazon, eBay, and Walmart
Data available from:
Amazon, eBay, Walmart
- 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.
Available tools
General purpose API with predefined e-commerce schemas
Data available from:
not indicated
- 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.
