Many e-commerce sites today are JavaScript-rendered, have anti-bot protections, and use regional versions (different domains, currencies). We reviewed 10 leading e-commerce scrapers and benchmark-tested them across major sites, including Amazon and Walmart, in multiple regions.
This guide compares their speed, accuracy, and cost-effectiveness, explains how ecommerce scraper APIs work, and helps you choose the right tool, whether you need enterprise-grade scraping infrastructure or a simple price-monitoring solution.
While entry plans for most e-commerce scraper APIs start at around $40–$100 per month, pricing scales primarily based on the volume of results, the inclusion of JavaScript rendering, and whether the plan supports concurrent sessions or geo-targeted requests.
The table below standardizes those models for comparison.
E-Commerce Scraper API Benchmark Results
Our benchmark compared ten e-commerce scraping solutions across three key metrics: response time, data accuracy, and field completeness. See the average number of fields returned by scrapers and their median response times in e-commerce websites:
Highlights from the tests
- Bright Data achieved the fastest average response time and the highest success rate, making it the most consistent scraper for large-scale projects.
- Oxylabs followed closely, trading a small speed gap for slightly richer field coverage.
- Decodo offered the best cost-to-performance ratio among lightweight APIs.
- Zyte delivered competitive speeds with notably stable pricing per 1k results.
- Apify performed well in terms of completeness and flexibility, particularly for developers who require custom workflows.
How We Benchmarked the E-commerce Scrapers
To evaluate the performance of each e-commerce scraping API, we tested 1,700 URLs from nine major retail domains across different regions:
- amazon.es
- amazon.com
- amazon.ca
- amazon.co.uk
- amazon.de
- amazon.fr
- amazon.it
- walmart.com
- target.com
For every domain, we collected 100 URLs per page type, including:
- Search (example from Amazon.com). However, the target.com search page was left out since most providers don’t provide a web scraper API for those pages.
- Product detail page (example from Amazon.de)
For more, see our methodology for benchmarking web scraper APIs.
Pricing Model Analysis of the Best E-Commerce Scrapers
Notes:
- These are the monthly rates. We omitted annual purchase discounts.
- The pricing table includes only data from services with a success rate of 90% or higher.
- Providers are compensated based on the successful outcomes they achieve.
The e-commerce scraping landscape offers three main pricing models: request-based, credit-based, and compute/time-based.
1. Request-Based Pricing (Bright Data, Oxylabs, Zyte, Decodo, ScrapingBot, ScraperAPI)
Most API-driven providers charge per successful request or data retrieval. Each request typically equals one product page or search result successfully returned in JSON format.
- Costs vary mainly by JS rendering, proxy rotation, and geo-targeting options.
2. Credit-Based Pricing (ScraperAPI, Nimbleway)
Credit-based systems assign a credit value to each successful request, which can vary depending on the complexity or site type.
- A basic product page might consume one credit, while JS-rendered or geo-specific requests may consume more.
- ScraperAPI offers one of the simplest models: 1 credit = 1 successful request, with 1,000 free credits/month on its free tier.
3. Compute / Task-Based Pricing (Apify, Axiom.ai, Browse AI)
Automation platforms charge for runtime or task execution, rather than API calls.
- Apify measures usage in compute units (CU), combining runtime, bandwidth, and storage.
- Axiom.ai charges by automation runtime (measured in minutes or hours) and supports both local and cloud runs.
- Browse AI uses tasks per robot; each robot run equals one task.
The Best 10 E-commerce Scrapers
Bright Data e-commerce scraper offers the most extensive collection of pre-built scraping templates, covering 64 different domains. Each domain includes multiple scrapers tailored to specific data points. For example, the Amazon domain features 13 distinct scrapers.
Bright Data provides two types of scrapers for any selected domain and data point: an API-based scraper and a no-code control panel scraper. In addition to the e-commerce product scraper, the provider also offers pre-made e-commerce datasets.
Pricing:
- Free trial: 20 free API calls
- Pay-as-you-go: starts at around $ 1.50 per 1,000 API calls for standard endpoints.
- Starting price: $499 for 510,000 requests ($0.98/1K)
Oxylabs’ Scraper APIs Playground includes a wide range of e-commerce sites, both global and regional:
- Major global marketplaces include Amazon, eBay, AliExpress, Alibaba, Etsy, Walmart, and Google Shopping.
- Regional retailers include Flipkart (India), Cdiscount (France), Falabella (Latin America), Magazine Luiza (Brazil), Lazada (Southeast Asia), and others.
- Niche stores include Instacart, Avnet, Menards, and Petco.
OxyCopilot is a scraper API feature that enables users to create a custom parser tailored to their specific parsing requirements, eliminating the need for manual coding.
Instead of manually cleaning or organizing the data, users can leverage prompt engineering to define precisely which data they need. Here’s an example where we selected only four data fields from a specific eCommerce URL.
Pricing:
- Free trial: It allows users to scrape up to 2,000 results across supported domains, including Amazon, Google Shopping, and other e-commerce sites.
- Starting price: $49 for 98,000 requests ($1.35/1K)
Decodo offers two types of scraping APIs: core and advanced. The Core Scraping API is a general-purpose solution that can be used across any domain. The advanced scraping API offers domain-specific templates specifically designed for major e-commerce platforms, including Amazon, Target, and Walmart.
For instance, the advanced API playground with Amazon-specific targeting supports multiple domains, such as .co.uk, .com.au, .com.mx, and .co.jp, for regional product data scraping. However, the current playground is limited to 10 requests per day.
Pricing:
- Free trial: 14-day money-back guarantee
- Starter plan: $29 for 23,000 requests ($0.88/1k)
Zyte Automatic Extraction API can detect and return structured data (title, price, SKU, or description) from retail product and search pages. It integrates well with Python’s Scrapy framework but can also be used via REST API.
Integration methods: Python SDK, REST API, or no-code dashboard setup for specific domains.
Locations: global proxy pools with regional targeting and CAPTCHA avoidance.
Pricing:
- Starter plan: $100
- Free trial: $5 free credit for 7 days
- Pay-as-you-go: starts around $0.13 per 1,000 API calls
Apify offers an Amazon product scraper that allows users to extract information from the website by specifying a URL and a country. This API retrieves various data points, including reviews, prices, descriptions, and Amazon Standard Identification Numbers (ASINs).
The scraper is capable of delivering upwards of 100,000 results on average, although there isn’t a standard figure applicable to all scenarios. The maximum quantity of outcomes can fluctuate based on the intricacy of the provided information, geographical considerations, and additional variables.
Integration methods include REST API, JavaScript SDK, and Apify Console (a browser-based workflow management tool).
Output: JSON, CSV, or integration with Google Sheets, S3, or Apify Dataset.
Pricing:
- Free tier: 14 days with limited platform credits
- Starting price: starts at $40/month
Nimbleway offers a general-purpose web scraping API with specialized capabilities for specific verticals, including e-commerce. The e-commerce scraper API is optimized for the domains Amazon and Walmart. The tool enables users to scrape data at the country, city, and ZIP code levels.
Integration methods: REST API or SDK (Python, Node.js). Users can control rendering, timeout, and retry logic through request parameters.
Pricing:
- Free trial: 7 days with limited credits
- Starter plan: from $150/month for 150 credits
ScraperAPI offers a general-purpose scraping API that supports e-commerce websites, including structured endpoints for major marketplaces like Amazon (and claims for Walmart, Google Shopping).
Their pricing model includes a free tier with 1,000 API credits per month (and up to 5 concurrent connections) for low-volume use, as well as a 7-day free trial with up to 5,000 API credits/requests to test full functionality before committing.
Pricing:
- Free trial: 7-day trial and 5,000 API credits
- Starting price: $49 for 100,000 API credits
Axiom.ai empowers users to create their own e-commerce scraping workflows. Axiom provides ready-made templates, such as:
- “Scrape product data from any e-commerce site”
- “Collect product prices from search results”
- “Monitor competitor pricing”
Because it is browser-based and no-code, it may not match the scale of enterprise APIs (e.g., for 100k+ parallel requests or extremely high throughput). It’s slower than dedicated APIs but suitable for marketers or small teams who want hands-on control without writing scripts.
Pricing:
- Free plan: up to 2 hours of automation per month
- Starter plan: from $15/month, adds cloud runs and scheduling
ScrapingBot provides a dedicated retail scraping API that combines a headless browser and proxy rotation. The retail endpoint returns structured JSON covering fields such as title, description, price, currency, stock status (isInStock), brand, category, EAN/ASIN/ISBN, images, and product variations.
There is an “AI extraction” mode. You can provide an ai_query parameter (plain-English), such as product title and pricing data. Because it is a more general-purpose scraping API rather than a fully custom e-commerce specialist with thousands of templates, you may need more configuration for complex sites.
Pricing:
- Free plan: 500 credits (1 concurrent requests, JS rendering, proxies)
- Starting price: starts from €19 for 100,000 requests
Browse AI offers capabilities that support e-commerce scraping and an API for integration. While they support e-commerce scraping as a use case, they don’t have a dedicated e-commerce scraper API like Bright Data or Oxylabs.
The workflow is primarily no-code and utilizes a browser extension, but the API is also available. Browse AI captures structured page elements (title, price, rating) through its visual selector.
Pricing:
- Free plan: includes two robots and 50 tasks/month
- Starter plan: from $39/month with 1,000 tasks
FAQs about E-Commerce Scrapers
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