Extract product listings, live prices, customer reviews, inventory levels, and seller data from Amazon, Flipkart, Shopify, eBay, Walmart, Alibaba — and any other eCommerce platform you need, at any volume.
eCommerce web scraping is the automated extraction of product data, pricing information, customer reviews, inventory status, and seller details from online retail platforms. Instead of manually visiting thousands of product pages, a web scraper crawls the marketplace and collects every data point you need — at scale, with accuracy, and on a schedule.
Businesses use eCommerce scraping to power dynamic pricing engines, monitor competitor product catalogues, build AI training datasets, track brand reputation through reviews, and enforce MAP (Minimum Advertised Price) compliance across reseller networks. The real competitive advantage comes from data freshness and breadth — knowing what your competitors are doing before your customers do.
DataFlirt's eCommerce scraping services handle everything — from simple static product pages to complex JavaScript-rendered storefronts with login walls, infinite scroll, and aggressive anti-bot systems. We build custom scrapers for each marketplace's specific architecture, and maintain them proactively when sites change.
Comprehensive extraction built for reliability, accuracy, and scale.
Extract full product catalogues from Amazon, eBay, Flipkart, Walmart, Alibaba, IndiaMart, and niche marketplaces — product name, brand, category, ASIN, images, descriptions, and all attributes.
Scrape live and historical pricing across thousands of SKUs. Capture regular price, sale price, price drops, bulk pricing tiers, and time-series price history to build competitive pricing intelligence.
Collect customer reviews, star ratings, verified purchase flags, review dates, helpfulness votes, reviewer profiles, and review images at scale for sentiment analysis and NLP pipelines.
Extract full product descriptions, bullet points, specifications, technical attributes, dimensions, materials, compatibility notes, and A+ content from any product category at scale.
Monitor flash sales, lightning deals, bundle offers, coupon codes, and partner discounts in real time. Set up change-detection alerts when a competitor drops below a price threshold.
Scrape SKU identifiers, variant data (size, colour, model), stock availability, fulfilment type (FBA/FBM), lead times, and seller information for each product listing.
Extract 'Frequently Bought Together', 'Customers Also Viewed', sponsored placements, and cross-sell data to understand recommendation algorithms and competitive placement strategy.
Collect seller profiles, seller ratings, fulfilment methods, return policies, storefront data, and Buy Box winner history from marketplace seller pages for competitive seller intelligence.
Download product image galleries, lifestyle images, infographics, and 360° view assets at scale for AI vision model training, catalogue building, or competitive benchmarking.
Every field you need, structured and ready to use downstream.
A proven process that turns any source into clean structured data — reliably.
{ "status": "success", "platform": "amazon_in", "scraped_at": "2025-03-15T11:22:00Z", "product": { "asin": "B0CX4KJFWN", "title": "boAt Airdopes 141 TWS Earbuds", "brand": "boAt", "category": "Electronics > Headphones", "price": { "mrp": 1799, "current": 999, "discount": "44%", "currency": "INR" }, "rating": 4.2, "review_count": 218490, "in_stock": true, "fulfillment": "FBA", "images": ["https://...", "..."], "buy_box_seller": "boAt Official Store" } }
Built on proven open-source tools and cloud infrastructure — no vendor lock-in.
Smart rotation across residential and mobile proxy pools avoids IP bans and rate limiting on the most protected marketplaces.
Playwright-powered browser automation for React/Vue storefronts, infinite scroll pages, and lazy-loaded product cards.
Automated CAPTCHA solving (2Captcha, CapSolver) and realistic browser fingerprint management for Cloudflare and PerimeterX-protected sites.
Python asyncio and multithreading for scraping millions of product pages efficiently within tight time windows.
Hourly, daily, or weekly scraping schedules with change-detection alerts for price drops, stock changes, and new listings.
CSV, JSON, Excel, PostgreSQL, MongoDB, AWS S3, Google Sheets, BigQuery, or SFTP — data lands wherever your stack expects it.
From solo analysts to enterprise data teams — here's how organizations use this data.
The difference between winning and losing on a marketplace is often measured in cents and minutes. Real-time pricing intelligence, comprehensive competitor catalogue monitoring, and deep review analytics aren't luxuries — they're the operational data layer that separates category leaders from followers. DataFlirt delivers this infrastructure: accurate, fresh, and scaled to your SKU count.
Start free and scale as your data needs grow.
For small teams and projects getting started with data.
For growing teams with serious data requirements.
For large organizations with custom requirements.
Everything you need to know before getting started.
Join data teams worldwide using DataFlirt to power products, research, and operations with reliable, structured web data.
