Stop manually tracking competitor prices and product listings. Our e-commerce scrapers automatically pull product titles, prices, ratings, reviews, images, and inventory data from 50+ shopping platforms — delivered clean, structured, and ready to use in minutes.
The gap between winning and losing in e-commerce often comes down to one thing: information. Who has better pricing data, fresher inventory insights, and faster access to what competitors are doing. Our e-commerce scrapers put that information in your hands — automatically, every single day.
Think about how much time your team currently spends manually checking competitor prices on Amazon, eBay, or Walmart. Somebody goes to the website, looks up a product, writes down the price, repeats for 500 more SKUs — and by the time the spreadsheet is done, half the prices have already changed. It's an exhausting, error-prone, and endlessly repetitive process that doesn't scale.
Our scrapers handle all of that in minutes. You give the tool a list of product URLs, ASINs, or search terms — and it returns a complete, structured dataset with current prices, review counts, ratings, stock levels, seller information, and every other data point you need. Scheduled jobs run automatically on whatever cadence you choose — hourly for lightning deal monitoring, daily for routine price tracking, or weekly for broad market research.
The businesses seeing the biggest results with e-commerce data scraping are the ones using it for dynamic repricing — automatically adjusting their prices in response to competitor changes. They're also using it for product research to find market gaps, for review mining to understand what customers actually want, and for MAP (Minimum Advertised Price) violation detection to protect their brand margins.
From solo sellers to enterprise brands — here's how businesses are using e-commerce data scrapers to gain a genuine competitive edge every single day.
Track competitor pricing across Amazon, eBay, and Walmart in real time. Get instant alerts when prices change. Power your dynamic repricing strategy with fresh data delivered on your schedule — hourly, daily, or on-demand.
Analyze BSR trends, review velocity, and pricing gaps across entire Amazon categories to identify winning product opportunities before launching. Validate demand with real data — not guesswork.
Automatically monitor whether authorized resellers are advertising below your Minimum Advertised Price. Detect violations instantly across multiple marketplaces and protect your brand's pricing integrity.
Scrape thousands of customer reviews from competing products. Run NLP analysis to extract common complaints, feature requests, and positive themes that inform your own product development strategy.
Aggregate product data across multiple suppliers and marketplaces to build or enrich your own catalog. Pull descriptions, specifications, images, and attributes at scale — with no manual data entry.
Build large-scale training datasets for pricing prediction models, demand forecasting algorithms, and recommendation engines using real e-commerce product and review data.
Our e-commerce scrapers don't just grab the headline fields. Every run pulls a comprehensive product profile — the kind of depth that used to require manual research hours to compile.
From the world's biggest marketplaces to niche regional platforms — if products are listed there, we can scrape it.
Not sure which scraper to start with? Here's a side-by-side look at our most popular e-commerce tools.
| Platform | Data Points | API Access | Scheduling | Difficulty | Starting Price | Action |
|---|---|---|---|---|---|---|
|
🛒
Amazon Product Scraper
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25+ | ✓ Yes | ✓ Yes | Beginner | Free / $49/mo | View → |
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🏪
eBay Product Scraper
|
20+ | ✓ Yes | ✓ Yes | Beginner | Free / $39/mo | View → |
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🏬
Walmart Scraper
|
18+ | ✓ Yes | ✓ Yes | Beginner | Free / $39/mo | View → |
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🛍️
Shopify Store Scraper
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15+ | ✓ Yes | ✓ Yes | Beginner | Free / $29/mo | View → |
|
🌐
AliExpress Scraper
|
18+ | ✓ Yes | ✓ Yes | Intermediate | Free / $39/mo | View → |
|
🏆
Flipkart Scraper
|
20+ | ✓ Yes | ✓ Yes | Beginner | Free / $29/mo | View → |
Find the exact tool you need. Filter by pricing, sort by popularity, or search by platform name.
Extract product titles, prices, ratings, reviews & seller data from all 16 Amazon marketplaces — no coding required.
Extract product titles, prices, ratings, seller data, stock levels & 25+ data fields from France's #1 e-commerce marketplace — no coding required.
Extract product titles, prices, ratings, reviews, seller data, stock levels & 28+ data fields from Walmart.com & Walmart Canada — no coding required.
Extract product titles, prices, seller data, shipping info, reviews & 30+ data fields from AliExpress — the world's largest global B2C marketplace. No coding required.
Extract product titles, prices, ratings, seller data, specifications & 28+ data fields from India's largest e-commerce marketplace — no coding required.
Whether you sell on marketplaces, run a brand, or build tools for others — our scrapers fit exactly how you work.
Track competitor pricing, monitor your own BSR changes, find winning products with low competition and high demand, and detect MAP violations by unauthorized sellers undercutting your brand on Amazon and beyond.
Find trending products, validate demand before committing to stock, compare supplier pricing from AliExpress and Alibaba, and monitor inventory availability on target marketplaces to time your purchasing decisions.
Protect your brand across every marketplace. Monitor unauthorized resellers, track distribution compliance, collect competitive intelligence on rival products, and measure your category's price positioning in real time.
Build comprehensive product datasets for price prediction models, demand forecasting algorithms, recommendation engines, and NLP models trained on customer review text. Clean, structured data delivered exactly how you need it.
Study pricing dynamics, market share shifts, category growth trends, and consumer demand patterns across global e-commerce platforms. Build longitudinal datasets for quarterly reports and strategic planning documents.
Power price comparison engines, shopping aggregators, deal alert apps, and inventory management platforms with fresh e-commerce data delivered via REST API or webhook — on your exact schedule and in your preferred format.
Scraping publicly visible product data — prices, titles, images, ratings — that any visitor can see without logging in is broadly considered legal in most countries, including the US and EU. Courts have consistently ruled in favor of scraping publicly accessible data, most notably in the hiQ Labs v. LinkedIn case. That said, Amazon and eBay's Terms of Service prohibit automated access, so we recommend reviewing them alongside legal counsel for your specific use case. Our scrapers only access public-facing product pages, never private account data.
Professional plans support scheduling as frequently as every hour. Enterprise plans can run near-real-time monitoring for critical SKUs with custom intervals. For most price monitoring use cases, daily scraping (running at the same time each morning) delivers all the freshness you need. For Lightning Deal tracking or flash sale monitoring on Amazon, hourly runs are available on Professional plans and above.
Yes. Our Amazon Review Scraper extracts individual customer reviews including reviewer name, star rating, review title, full review text, verified purchase status, helpful vote count, and review date. This data is invaluable for sentiment analysis, competitor weakness identification, and understanding what your customers actually want. Reviews can be scraped in bulk for entire product categories or for specific ASINs.
Amazon uses some of the most sophisticated bot detection systems on the internet — including behavioral analysis, JavaScript fingerprinting, and CAPTCHA challenges. Our scrapers counter these with a rotating pool of 15M+ residential IPs that look like genuine user traffic, randomized browser fingerprints, human-like request timing patterns, automatic CAPTCHA solving with a 99%+ success rate, and session management that mimics real browsing behavior. Our current success rate across all Amazon marketplaces exceeds 99.5%.
Absolutely. You can input a search results page URL, a category page URL, or a search keyword — and the scraper will extract data from all products across all paginated results automatically. You can limit by page count, minimum rating, price range, or Prime eligibility. This is especially powerful for market research, finding new product opportunities, or monitoring entire categories for price changes.
We support CSV, JSON, Excel (.xlsx), XML, and direct Google Sheets integration. Enterprise plans also support direct database export (PostgreSQL, MySQL), Amazon S3 push, Google Drive sync, and Dropbox delivery. All exports include proper column headers, consistent data types, and clean formatting that works immediately in Excel, Tableau, Power BI, Python pandas, and R without any preprocessing.
Yes. Our multi-platform scraping feature lets you input URLs from different e-commerce platforms (e.g., Amazon, eBay, and Walmart) in a single job and receive a unified, normalized dataset with consistent field names across all sources. This is especially useful for building price comparison features or doing cross-marketplace competitive analysis.
Join 15,000+ sellers, analysts, and developers already using MyDataScraper. Get your first 1,000 product records completely free — no credit card, no commitment, no code required.