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E-commerce data scraping — any website, any marketplace
Whether it's Amazon, a regional grocery chain, a niche D2C brand site, or a marketplace we've never touched before — we build the pipeline, run the QA, and ship the data in your format. 500+ retailers already covered, and any new one scoped on request.
The full e-commerce data surface — whatever your team consumes.
Every field a brand, retailer, or pricing analyst would care about. Structured to your schema, not ours.
Product details
Title, brand, description, attributes, images, variation tree, SKU/ID, category path.
Pricing & promotions
Current price, list / MRP, discount %, sale prices, promo tags, member-tier pricing.
Stock & availability
In stock / low stock / OOS, restock detection, size-level or variant-level stock.
Sellers & offers
1P vs 3P, Buy Box ownership (where applicable), seller ratings, fulfilment method.
Ratings & reviews
Star rating, review count, recent reviews, sentiment signals, verified-buyer flags.
Category & rank
Best Sellers Rank, category position, "Top Pick" / "Bestseller" / "Choice" badges.
Search rank
SERP position for category and brand keyword searches, organic vs sponsored.
Sponsored & ad placements
Sponsored Products/Brands placements on category and search pages.
Geo & pincode signals
Price, stock and delivery promise by ZIP / pincode / postcode where exposed.
We cover every e-commerce surface — not just the top three.
From global marketplaces to regional grocers to single-brand D2C sites — same managed approach.
Global marketplaces
Amazon (13+ marketplaces), Walmart, eBay, Etsy, AliExpress, Shopee, Lazada, Rakuten.
View marketplace pages →
India e-commerce
Flipkart, Myntra, Meesho, Ajio, Nykaa, plus q-commerce (Blinkit, Zepto, Instamart).
India retailers →
Grocery & FMCG
Tesco, ASDA, Sainsbury's, Kroger, Walmart Grocery, Woolworths, Coles, BigBasket, Carrefour.
Grocery industry →
Quick commerce
Blinkit, Zepto, Instamart (IN), Gopuff (US), Getir & Whoosh (UK), Flink (EU).
Q-comm hub →
Fashion & apparel
Myntra, Ajio, Nykaa Fashion, ASOS, SHEIN, Zara, Nordstrom, Macy's, regional fashion sites.
Fashion industry →
Electronics & appliances
Best Buy, Newegg, B&H, Croma, Reliance Digital, Currys, Harvey Norman, JB Hi-Fi.
Electronics industry →
CD2C brand storefronts
Shopify, Magento, WooCommerce, BigCommerce storefronts — any public catalogue.
Scope your D2C scan →
Health & beauty
Sephora, Ulta, Nykaa, Tira, Boots, regional pharmacy and beauty chains.
Beauty industry →
Anywhere else
Books, baby, pet, automotive, jewelry, home, garden, B2B/industrial — any public e-commerce.
All industries →What teams build on e-commerce scraped data.
Competitor pricing intelligence
Daily or hourly pricing on competitor SKUs, matched to your catalogue.
MAP enforcement
MAP violations flagged with seller and platform details for takedown action.
Digital shelf analytics
Share of search, ratings velocity, content scoring across every priority retailer.
Stock & OOS monitoring
Real-time stockout alerts before lost-sales accumulate quietly.
Assortment intelligence
What's new in your category, who's launching what, when did it land on shelf.
Review & sentiment tracking
Review volume, rating shifts, sentiment changes across your catalogue.
Channel parity audits
Cross-marketplace price parity — spot leakage between channels.
Pricing model training
Historical price + stock snapshots to train elasticity and demand-forecast models.
Custom market research
One-off datasets for category entry, pricing benchmarking or M&A due diligence.
Whatever format your team consumes.
No forced dashboard, no proprietary lock-in. You own the data.
CSV / Excel
Scheduled file drops to email, SFTP, S3 or Azure.
JSON / API
REST API with auth tokens, paginated by SKU or ItemID.
Database / warehouse
Direct push to Snowflake, BigQuery, Redshift or your data lake.
Hosted dashboard
Optional dashboard if you want a no-tech-needed view.
From your brief to clean data in 24 hours.
Send the scope
SKUs, sites, fields needed, refresh frequency. Or just describe the brief — we'll structure it.
Free sample dataset
Within 24 hours, a real sample so you can validate fields and quality before committing.
Production pipeline
We build and QA the pipeline, set up delivery in your preferred format, and ship the first full run.
Run & iterate
Scheduled refreshes — daily, hourly or on-demand — with monitoring and a named delivery lead.
E-commerce scraping FAQs
Product listings, pricing, MRP, stock availability, sellers, reviews, ratings, category positioning, sponsored placements, listing content (titles, descriptions, images), variation trees and search rankings — from any public e-commerce website or marketplace.
500+ retailers covered — Amazon, Walmart, Target, Flipkart, Myntra, Meesho, eBay, Etsy, Shopify storefronts, Tesco, Woolworths, Coles, Carrefour, Noon, Shopee, Lazada, AliExpress, plus quick commerce (Blinkit, Zepto, Instamart, Gopuff, Getir, Flink), and any other public site on request.
Free sample dataset within 24 hours of scoping. Full production pipeline typically live within 5–7 business days.
We scrape only publicly accessible data — the same information any visitor would see. No authentication, no restricted content. Our practice aligns with established web scraping legal frameworks worldwide. We're not a law firm and recommend you confirm your specific use case with counsel.
CSV, JSON, Excel, Parquet, REST API endpoint, scheduled S3/Azure/GCS bucket drops, direct push to Snowflake/BigQuery/Redshift, or an optional hosted dashboard. Whatever format your team consumes.