E-commerce datasets are ready-to-license, pre-collected product data from marketplaces like Amazon, Flipkart and Walmart — products, prices, ratings, reviews, availability and sellers — delivered clean and structured, with agreed refresh cycles. iWeb Data Scraping provides these off-the-shelf when you need coverage of a category fast, without commissioning a custom scraping project. Buy the data, skip the pipeline.
Sometimes you don't need a bespoke pipeline — you need a clean, structured slice of e-commerce data now: a category's products, prices and reviews to train a model, benchmark a market, or power a feature. E-commerce datasets deliver exactly that, pre-collected and ready to license.
Each dataset covers a defined category or platform scope, arrives in a documented schema, and can be refreshed on a subscription or delivered as a one-time snapshot. Need something more specific? Our managed scraping builds it custom; these datasets are the fast, off-the-shelf path.
One vertical, every platform that matters in it — matched into a single feed your team actually uses.
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.
| product_id | title | brand | category | price | rating | reviews | platform |
|---|---|---|---|---|---|---|---|
| A1001 | Wireless Earbuds Pro | SoundCo | Electronics | 2499 | 4.3 | 8420 | Amazon |
| A1002 | Cotton Crew T-Shirt | WearWell | Apparel | 599 | 4.1 | 3210 | Flipkart |
| A1003 | Stainless Water Bottle | HydroGo | Home | 799 | 4.5 | 12040 | Amazon |
| A1004 | LED Desk Lamp | BrightLite | Home | 1299 | 4.2 | 5610 | Meesho |
[
{
"product_id": "A1001",
"title": "Wireless Earbuds Pro",
"brand": "SoundCo",
"category": "Electronics",
"price": "2499",
"rating": "4.3",
"reviews": "8420",
"platform": "Amazon"
},
{
"product_id": "A1002",
"title": "Cotton Crew T-Shirt",
"brand": "WearWell",
"category": "Apparel",
"price": "599",
"rating": "4.1",
"reviews": "3210",
"platform": "Flipkart"
},
{
"product_id": "A1003",
"title": "Stainless Water Bottle",
"brand": "HydroGo",
"category": "Home",
"price": "799",
"rating": "4.5",
"reviews": "12040",
"platform": "Amazon"
},
{
"product_id": "A1004",
"title": "LED Desk Lamp",
"brand": "BrightLite",
"category": "Home",
"price": "1299",
"rating": "4.2",
"reviews": "5610",
"platform": "Meesho"
}
]
A clean product-and-review corpus for models, without building a scraper first.
Market-wide product, price and review data to size and study a category.
Structured e-commerce data behind a comparison, search or recommendation feature.
Ready-to-license, pre-collected product datasets from marketplaces — products, prices, ratings, reviews, availability and sellers — delivered clean and structured with a documented schema. They let you get e-commerce data fast without commissioning a custom scraping project.
Both. You can license a one-time snapshot for a point-in-time study or model, or subscribe to refreshed deliveries (daily, weekly or monthly) for ongoing use. Refresh cadence and delivery format are set to your needs.
Yes — if a dataset scope you need isn't off-the-shelf, our managed scraping service builds it to spec. The pre-built datasets cover common categories and platforms; anything beyond that is a quick custom engagement.
Datasets are delivered as CSV, JSON or direct to your warehouse, under a clear license for your use case (internal analytics, model training, product features). Review data is PII-scrubbed. Terms are agreed up front, NDA-first.