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Amazon Seller Scraper

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Amazon Seller Scraper

Amazon Seller Scraper

Scrape Amazon sellers as clean JSON — a seller's profile (business name, feedback rating and lifetime rating counts), their full product catalog, and their seller feedback reviews, across 19 Amazon marketplaces. Great for competitor and supplier research. No proxies, no CAPTCHAs, no login.

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Pay per usage

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ReefAPI

ReefAPI

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Amazon Seller Scraper — Seller Profiles, Catalog & Feedback as JSON

📮 Need help, hit a problem, want a new feature, or a field that's missing from the output? Email support@reefapi.com or open an issue on the Issues tab of this Actor — we reply fast and take feature requests seriously.

Scrape Amazon sellers as clean, structured JSON. Pass a seller id and get the seller profile (business name, positive-feedback rating and lifetime rating counts), the seller's full product catalog, and their seller feedback reviews — across 19 Amazon marketplaces. Ideal for competitor, supplier and reseller research. No proxies, no CAPTCHAs, no login — just send a seller id and get the data.

What is the Amazon Seller Scraper?

The Amazon Seller Scraper is an Amazon seller data API that turns any third-party seller's storefront into a structured dataset. Give it a seller/merchant id and it returns three things: the seller profile (business name, positive-feedback percentage, star rating and 30-day / 90-day / 12-month / lifetime rating counts), the seller's full product catalog (ASINs, titles, prices, ratings), and the seller's feedback reviews (buyer rating, text, rater and date). It works across all 19 Amazon marketplaces. It's the tool you use to scrape Amazon sellers for competitor intelligence, supplier vetting and reseller monitoring — no login, no proxies.

What can this Amazon Seller Scraper do?

  • 🏢 Seller profile — business name, positive-feedback %, star rating, and 30-day / 90-day / 12-month / lifetime rating counts.
  • 📦 Seller products — the seller's storefront catalog (ASINs, titles, prices, ratings).
  • 💬 Seller feedback reviews — buyer feedback for the seller (rating, text, rater, date).
  • 🌍 19 marketplaces — one input field switches country, language and currency.

What data can I extract?

seller/profile returns one record for the seller. Key fields:

FieldWhat it is
nameSeller / business name
feedback_percentPositive-feedback percentage (e.g. 98%)
ratingAverage star rating
lifetime_ratingsTotal lifetime rating count
ratings_30dRatings in the last 30 days
ratings_90dRatings in the last 90 days
ratings_12mRatings in the last 12 months

seller/products returns one record per catalog product (ASIN, title, price, rating). seller/reviews returns one record per feedback review (rating, text, rater, date).

Field availability can vary — not every seller publishes every metric, and Amazon can change its storefront layout. Core fields (name, feedback %, rating, rating counts) are present for active sellers.

How do I scrape an Amazon seller?

  1. Open the Actor and go to the Input tab.
  2. Pick an Action — Seller profile, Seller products, or Seller feedback reviews.
  3. Enter a Seller id (find it on a product's offers, or in a storefront URL: …/sp?seller=<id>) and pick a Marketplace.
  4. Click Start, then download the results as JSON, CSV or Excel from the Dataset tab.

Input

{ "action": "seller/profile", "seller_id": "A2L77EE7U53NWQ", "marketplace": "com" }
  • seller_id — the Amazon seller/merchant id. Find it on a product's offers, or in a storefront URL: …/sp?seller=<id>.
  • marketplacecom, co.uk, de, fr, it, es, co.jp, in, ca, com.au, com.mx, com.br, com.tr, ae, nl, se, pl, sg, sa.
  • params — advanced JSON (paging/cursor for products & feedback).

Output

Representative seller/profile record (field shape from the engine schema):

{
"name": "Example Trading Co",
"feedback_percent": "98%",
"rating": 4.8,
"lifetime_ratings": 128430,
"ratings_30d": 512,
"ratings_90d": 1580,
"ratings_12m": 6120
}

seller/products returns one item per product; seller/reviews returns one item per feedback review ({rating, text, rater, date}).

Use cases

  • Competitor & supplier research — vet sellers by feedback %, rating and catalog size before you buy or compete.
  • Reseller monitoring — track a seller's catalog and pricing over time.
  • Marketplace intelligence — map who sells what, and how well they're rated, across marketplaces.
  • Lead qualification — score third-party sellers by feedback volume and score for sourcing or outreach.
  • Brand protection — watch which sellers carry your ASINs and how buyers rate them.

FAQ

Is there an official Amazon seller API? Amazon's Selling Partner API only exposes your own seller account — there's no official way to read an arbitrary third-party seller's profile, catalog and feedback. Scraping the public storefront is the practical way to get this data as JSON.

Why scrape Amazon sellers? Seller feedback, catalog size and rating trends are strong signals for competitor analysis, supplier vetting and reseller monitoring — none of which are available through official APIs for other sellers.

How much does it cost? Billed on Apify's pay-per-result model, benchmarked to be competitive with other Amazon scrapers. See the Pricing section on this Actor's page for the current rate.

Can I integrate it? Yes — run it from the Apify API or the Python / Node.js clients, and connect the output to Make, Zapier, n8n, Google Sheets, webhooks or your database via Apify integrations.

Is it legal to scrape Amazon sellers? This Actor reads publicly available seller storefront pages (no login, no accounts). Seller data is largely business information, but feedback reviews can include personal names — handle any personal data responsibly and per GDPR/CCPA. Not legal advice.


Unofficial — not affiliated with Amazon. Public data only.