E-COMMERCE DATA SCRAPING

Every marketplace,
one competitive view.

// THE SHORT ANSWER

E-commerce data scraping extracts structured product data — prices, catalogs, reviews, ratings, availability, sellers and rank — across marketplaces like Amazon, Flipkart, Walmart and Shopify stores, with the same product matched platform-to-platform. iWeb Data Scraping delivers this QA-verified (99%+ accuracy) as CSV, JSON, API or warehouse feeds, so brands, sellers and analysts get one competitive view across the fragmented e-commerce landscape instead of checking each site by hand.

Get free sample in 48h See the data
99%+field accuracy, QA-verified
48hfree sample turnaround
24/7pipeline monitoring
ISO 27001+ 9001 certified

Key facts

  • Data point: Price & MRP
  • Data point: Discounts & offers
  • Data point: Buy-box & seller
  • Data point: Ratings & reviews

E-commerce competition happens across a dozen marketplaces at once, each with its own prices, sellers and rankings. No brand can track that manually, and each platform's own reports show only your side. E-commerce data scraping unifies it: every SKU, every marketplace, matched and refreshed on schedule.

We cover the major platforms — Amazon, Flipkart, Walmart, Shopify and more — feeding price intelligence, digital shelf analytics and MAP monitoring, on our managed pipeline.

THE POINT

One vertical, every platform that matters in it — matched into a single feed your team actually uses.

DATA POINTS WE EXTRACT

Everything that moves a sale.

Price & MRP
Discounts & offers
Buy-box & seller
Ratings & reviews
Availability
Search rank
Category & subcategory
Product attributes
Images & content
Variations
Sponsored placements
New listings
SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Cross-platform e-commerce feed — one product, every marketplace.
product platform price mrp rating reviews in_stock seller
Wireless Mouse X1 Amazon 799 1299 4.3 8420 yes TechStore
Wireless Mouse X1 Flipkart 749 1299 4.2 5210 yes RetailNet
Wireless Mouse X1 Meesho 699 1199 4.0 1840 no DirectSeller
USB-C Cable 1m Amazon 199 499 4.5 22100 yes CablePro
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
WHO USES THIS

Built for the person
who owns the number.

BRAND

One view across marketplaces

Your products and rivals' across Amazon, Flipkart, Walmart — matched, benchmarked, refreshed.

SELLER / D2C

Price and win the buy-box

Competitor pricing and buy-box tracking into your repricing workflow.

ANALYST / INVESTOR

Read the category

Assortment, pricing and review trends across a whole e-commerce category.

RELATED:Amazon Scraping →Price Intelligence →Digital Shelf Analytics →
FAQ

Before the first call.

Prices, MRP, discounts and offers, buy-box and seller, ratings, reviews, availability, search rank, category, product attributes, images, content, variations, sponsored placements and new listings — across marketplaces like Amazon, Flipkart, Walmart and Shopify stores, matched by product for direct comparison.

Amazon, Flipkart, Walmart, Shopify stores, Meesho, eBay and most major and regional marketplaces. We have dedicated capabilities for the big platforms and can add any public e-commerce site; the mix is scoped to where your competition and volume actually are.

Yes — cross-platform product matching is core to e-commerce intelligence. We match SKUs across marketplaces using identifiers, titles, attributes and images, so price and availability comparisons arrive as a ready join rather than a manual mapping exercise.

As CSV, JSON, API or direct warehouse feeds (Snowflake, BigQuery, PostgreSQL), refreshed hourly for pricing on priority SKUs, daily for broader catalogs, or real-time for the fastest-moving items. Frequency is set per engagement based on how quickly your decisions move.

Get a free sample dataset in 48 hours.