Top 10 E-Commerce Scrapers in 2026: Benchmarked & Tested

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:

Best e-commerce price scrapers for real-time competitor monitoring

2026 e-commerce scraper benchmark results

We compared the best e-commerce scraping tools 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:

Best web scraping APIs for e-commerce sites: Pricing & ROI 

In our benchmarks, we measured ROI based on successful data delivery. While premium APIs like Bright Data have a higher base price, their 99% success rate results in a lower cost-per-record than cheaper alternatives that require multiple retries.

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.

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.

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:

• Reliability: Achieved the highest success rate (98.50%) across all e-commerce sites we tested.
• AI parsing: OxyCopilot feature automatically parses data, eliminating the need for manual coding.

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.

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.

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.

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.

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.

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).

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.

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.

Top e-commerce product scrapers for Amazon, Walmart & Target

The best scrapers for these platforms utilize private access tokens (PATs) and browser-level fingerprinting to mimic human behavior perfectly.

Amazon:

Requires scrapers that can handle complex variant selectors and “frequently bought together” sections. Bright Data and Nimble led this category.

Walmart: 

Needs high-performance proxy rotation to avoid “PerimeterX” blocks. Oxylabs achieved the highest success rate here (98.5%).

Target: 

Focuses on localized inventory scraping to track “Buy Online, Pick Up In-Store” (BOPIS) trends. Decodo offers the most stable Target-specific endpoints.

Enterprise e-commerce data scraping services: Extraction at scale

Enterprises often require managed data scraping services to handle massive volumes without managing infrastructure. The trend has shifted toward agentic services where the provider manages the entire pipeline, from proxy rotation and CAPTCHA solving to data cleaning.

Here are the tools we recommend for different e-commerce scraping needs based on our managed data scraper benchmark:

1. For deep data extraction: Bright Data

• Result: 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: Zyte

• Result: 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: Decodo

• 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: Oxylabs

• 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.

Is e-commerce scraping legal?

It is legal to collect public information such as product names, prices, and stock status, as long as you do not bypass logins or access private data.

However, new AI rules will apply to some platforms. For instance, starting in 2026, eBay changed its User Agreement to ban “LLM-driven bots” and “buy-for-me agents” from using its platform without written permission. This update responds to the rise of “agentic commerce.”

While general scraping is still legal, using AI agents to interact with marketplaces is now subject to stricter rules.

How we tested 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

Industry Analyst

Gulbahar Karatas

Industry Analyst

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Gülbahar is an AIMultiple industry analyst focused on web data collection, applications of web data and application security.

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