Amazon data scraping extracts structured product data from Amazon at scale — prices, list prices, buy-box ownership and seller, ratings, review counts and text, availability, Best Seller Rank and product attributes — across any Amazon marketplace (US, IN, UK, DE and more). iWeb Data Scraping delivers this QA-verified (99%+ field accuracy) as CSV, JSON, API or warehouse feeds, refreshed as often as hourly. It's the single most-requested platform for pricing, repricing, MAP enforcement and market research.
Amazon is the price-and-availability battleground for most consumer brands, and its data is both the most valuable and the most defended on the web. Manual checks don't scale past a handful of ASINs, and Amazon's own reports show your side only. Amazon data scraping gives you the full competitive picture — every ASIN, refreshed on schedule, structured for analysis.
We handle the hard parts (ASIN discovery, buy-box resolution, variation handling, anti-bot at scale) and deliver clean rows into your workflow. It powers price intelligence, MAP monitoring and digital shelf analytics — and runs on our managed pipeline, so you never touch a proxy.
If it’s on the page, we can put it in your warehouse — clean, matched, and refreshed on your schedule.
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.
| asin | title | price | list_price | buybox_seller | rating | reviews | in_stock |
|---|---|---|---|---|---|---|---|
| B0C7X2 | Sony WH-1000XM5 | 26990 | 34990 | Sony Center | 4.6 | 3812 | yes |
| B0D1Y9 | boAt Rockerz 450 | 1499 | 3990 | boAt Official | 4.2 | 91204 | yes |
| B09K3M | Noise ColorFit Pro | 2299 | 4999 | Noise | 4.1 | 44210 | no |
| B0B5N1 | Fire-Boltt Phoenix | 1799 | 5999 | Fire-Boltt | 4.0 | 120553 | yes |
[
{
"asin": "B0C7X2",
"title": "Sony WH-1000XM5",
"price": "26990",
"list_price": "34990",
"buybox_seller": "Sony Center",
"rating": "4.6",
"reviews": "3812",
"in_stock": "yes"
},
{
"asin": "B0D1Y9",
"title": "boAt Rockerz 450",
"price": "1499",
"list_price": "3990",
"buybox_seller": "boAt Official",
"rating": "4.2",
"reviews": "91204",
"in_stock": "yes"
},
{
"asin": "B09K3M",
"title": "Noise ColorFit Pro",
"price": "2299",
"list_price": "4999",
"buybox_seller": "Noise",
"rating": "4.1",
"reviews": "44210",
"in_stock": "no"
},
{
"asin": "B0B5N1",
"title": "Fire-Boltt Phoenix",
"price": "1799",
"list_price": "5999",
"buybox_seller": "Fire-Boltt",
"rating": "4.0",
"reviews": "120553",
"in_stock": "yes"
}
]
Every rival ASIN's price and buy-box, matched to your catalog, into your repricer.
Below-MAP sellers on your ASINs flagged with screenshots — see MAP monitoring.
Rank, share of search and buy-box ownership per keyword — digital shelf.
Prices and list prices, buy-box ownership and seller, ratings, review counts and full review text, Q&A, availability, Best Seller Rank, product attributes and specs, images, A+ content, sponsored placements, variations and coupons — across any Amazon marketplace. If it's visible on the product or search page, we can structure it.
We collect only publicly available Amazon data (no login-gated content), respect rate limits, and scrub PII from reviews. Public-data collection is broadly defensible, and we operate under documented, ISO-certified, NDA-first methodology. See our compliance guide for the full picture on public-data scraping.
As often as hourly for pricing and buy-box on priority ASINs, daily for broader catalogs, or real-time for the SKUs where timing decides the sale. Refresh frequency is set per engagement based on how fast your decisions need to move.
Yes — cross-referencing Amazon ASINs to your internal SKUs (and to competitor listings on other platforms) is standard, using identifiers, titles, attributes and images. This makes competitive price comparison a ready join rather than a manual mapping exercise.