10 Best E-Commerce Scraper APIs (Benchmarks & Speed Tests)
Many e-commerce sites today are JavaScript-rendered, have anti-bot protections, and use regional versions (different domains, currencies).
We benchmarked the leading scrapers across 1,700 URLs (including Amazon & Walmart) to measure speed, data accuracy, and cost. Below is the summary of our winners based on real performance data:
Key findings from our benchmark
Based on our benchmark, here are the clear winners for different cases:
1. For deep data extraction:
Winner: Bright Data
- Benchmark result: It captured an impressive 600+ data fields per product (vs. the industry average of ~350 fields).
- Best for: Scraping every single detail, including reviews, hidden specs, and variants, this is the most capable tool we tested.
2. For real-time price monitoring:
Winner: Zyte
- Benchmark result: The fastest average response time at 6.61s, making it nearly 2x faster than the competition in our tests.
- Best for: Dynamic pricing strategies that require speed and low latency.
3. For best value & cost efficiency
Winner: Decodo
- Benchmark result: Delivered a solid 10.91s average speed with a starting price of just $0.88 per 1,000 requests, the most competitive entry point in our pricing analysis.
- Best for: Startups or projects where maximizing ROI is the priority.
4. For enterprise-scale stability:
Winner: Oxylabs
- Benchmark Result: Achieved a 98.50% success rate, the highest reliability score in our benchmarks.
- Best for: Scraping millions of pages and can’t afford interruptions or blocks, Oxylabs offers the most robust infrastructure.
Review of the top 10 e-commerce scrapers
Bright Data offers the most extensive collection of pre-built scraping templates. It combines an API-based scraper with a no-code control panel, making it versatile for both developers and business analysts.
Performance:
- Maximum data depth: Extracted 600+ data fields per product in our benchmark (Highest of all tools). Perfect for reviews, hidden specs, and variants.
- Success rate: Achieved a 97.90% success rate on Amazon & Walmart tests.
- Infrastructure: Covers 64 different domains with pre-built scraping templates.
Pricing:
- Price: Starts at $ 0.98/1,000 requests (Pay-as-you-go).
- Free trial: 20 free API calls
Oxylabs’ Scraper APIs Playground allows you to extract data from major global marketplaces like Amazon, eBay, and AliExpress without worrying about blocks. It enables users to create custom parsers tailored to specific requirements.
Performance:
- #1 reliability: Achieved the highest Success Rate (98.50%) across all e-commerce sites we tested.
- AI parsing: Its “OxyCopilot” feature automatically parses data, eliminating the need for manual coding.
Pricing:
- Price: Starts at $1.35 / 1,000 requests.
- Free trial: 1 Week Free Trial (5K requests).
Decodo offers a general-purpose scraper that can be used across any domain, but it shines with its “Amazon-specific” scraper, targeting multiple domains such as .co.uk, .com, and .co.jp.
Performance:
- Playground: Includes an easy-to-use API playground for Amazon, Target, and Walmart.
- Speed: Delivered a solid 10.91s average response time (Faster than industry average).
- Consistency: 96.29% success rate in our e-commerce stability tests.
Pricing:
- Trial: 14-day money-back guarantee.
- Price: Starts at $ 0.88/1,000 requests (very competitive).
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.
Performance:
- Fastest tool: The fastest average response time (6.61s) in our benchmark.
- Best value: Delivered the most requests per dollar in our pricing analysis chart.
- Success rate: High reliability with a 98.38% success rate.
Pricing:
- Free trial: $5 credit for 7 days.
- Pay-as-you-go starts at $ 0.13/1,000 requests.
Apify offers an Amazon product scraper that extracts information by specifying a URL. It retrieves detailed data points, including reviews, prices, and descriptions, with high customization options.
Why choose Apify:
- Flexibility: Capable of delivering upwards of 100,000 results with custom “Actors”.
- Community: Huge library of pre-built scrapers maintained by the community.
Pricing:
- Free trial: Generous free plan (limited platform credits).
- Price: Monthly plans start at $40.
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 such as Amazon (and claims support for Walmart and 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 scale to enterprise APIs (e.g., 100k+ parallel requests or extremely high throughput).
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 (in plain English), such as a 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
Compare price & free trials (top 10 scrapers)
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.
E-Commerce scraper 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:
Pricing 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 returns one product page or search result 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 that varies with 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.
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 excluded because 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.
FAQs about E-Commerce Scrapers
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