Amazon Seller Scraper

Scrape Amazon seller profiles — the legal business name and address, feedback ratings, rating distribution, "About" text, recent buyer comments, and (optionally) the seller's full storefront product list. Works from seller IDs, seller / storefront / product URLs, or product ASINs (the actor reads the "Sold by" seller from the buy box) across 18 Amazon marketplaces. Output is flat JSON built for AI agents and MCP.

What you get

Field	Description
sellerId	Amazon seller (merchant) ID, e.g. A1ODG4ICFE5MU3
sellerName	Public seller display name
businessName	Legal business name from "Detailed Seller Information"
businessAddress	Full business address (comma-joined)
addressLines	Address as individual lines
businessCountryCode	Two-letter business country
hasBusinessDetails	Whether business name/address were published
starRating	Seller star rating (0–5)
positivePercent12mo	% positive feedback over last 12 months
ratingsCount12mo	Number of ratings in last 12 months
ratingDistribution	% of ratings at each star level (5★→1★)
aboutText	Seller "About" description
recentFeedback	Recent buyer comments (rating, comment, author, date)
storefrontUrl	Link to the seller's storefront
products	Storefront products (when enabled)
productCount	Number of storefront products listed
marketplace, sellerUrl, sourceType, scrapedAt	Provenance + timestamp

When to use it

• Brand protection / MAP enforcement — identify the legal entity (name + address) behind an unauthorized reseller.
• Competitor & supplier research — vet third-party sellers, their feedback trend, and catalog breadth.
• Lead generation — turn a list of seller IDs or product ASINs into enriched business records.
• Due diligence — confirm a seller's reputation, business registration country, and rating history.

Not for product detail scraping (use Amazon Product Scraper) or review scraping (use Amazon Reviews Scraper).

Pricing (pay-per-event)

Event	Price
Actor start	$0.00005
Seller scraped	$0.02 per seller profile
Storefront product listed	$0.003 each (only when includeStorefrontProducts is on)

A run of 100 seller profiles costs about $2.00. Adding 50 storefront products per seller adds ~$0.15/seller. The actor prints the upfront cost cap and the final billed estimate in its log and status.

Input

Provide at least one of:

• sellerIds — Amazon seller IDs (13–14 uppercase chars).
• startUrls — seller profile (/sp?seller=ID), storefront (/s?me=ID), or product (/dp/ASIN) URLs.
• asins — product ASINs; the actor opens each product and resolves its third-party seller(s).

Options: country (marketplace, default US), includeFeedback (default true), maxFeedback (default 20), includeStorefrontProducts (default false), maxStorefrontProducts (default 100), maxStorefrontPages (default 3), proxyConfiguration.

Example input

{
  "sellerIds": ["A1ODG4ICFE5MU3"],
  "country": "US",
  "includeFeedback": true,
  "includeStorefrontProducts": false
}

Resolve sellers from products instead:

{
  "asins": ["B007ADJ4JI", "B00HHLNRVE"],
  "country": "US"
}

Example output (one record)

{
  "sellerId": "A1ODG4ICFE5MU3",
  "sellerName": "Dreamfarm",
  "businessName": "Dreamfarm Inc",
  "businessAddress": "165 S River Road, BEDFORD, NH, 03110, US",
  "businessCountryCode": "US",
  "starRating": 4.5,
  "positivePercent12mo": 92,
  "ratingsCount12mo": 225,
  "ratingDistribution": { "fiveStar": 91, "fourStar": 5, "threeStar": 1, "twoStar": 1, "oneStar": 2 },
  "storefrontUrl": "https://www.amazon.com/s?me=A1ODG4ICFE5MU3",
  "recentFeedback": [
    { "rating": 5, "comment": "Great product, fast shipping.", "author": "Gma", "date": "June 11, 2026" }
  ],
  "sourceType": "sellerId",
  "marketplace": "US",
  "scrapedAt": "2026-06-19T12:00:00.000Z"
}

Supported marketplaces

US, UK, DE, FR, CA, ES, IT, JP, AU, IN, MX, BR, NL, SE, PL, TR, AE, SG.

Use from code

Apify JavaScript client

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('khadinakbar/amazon-seller-scraper').call({
    sellerIds: ['A1ODG4ICFE5MU3'],
    country: 'US',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python client

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("khadinakbar/amazon-seller-scraper").call(
    run_input={"asins": ["B007ADJ4JI"], "country": "US"}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["businessName"], item["businessAddress"])

Use with AI agents (MCP)

This actor is MCP-ready. Add it to an MCP client via https://mcp.apify.com and call it with a seller ID, URL, or ASIN. It returns one flat record per seller — ideal for agents enriching a list of sellers or resolving "who sells this product."

Proxies & reliability

The actor defaults to automatic Apify proxy. Amazon blocks datacenter IPs aggressively on heavy use — for large or repeated runs, switch the proxy to RESIDENTIAL in the input. Seller profile (/sp) pages tolerate datacenter IPs better than search/product pages, so small seller-only jobs usually run fine on the default. Storefront-product listing relies on Amazon search and benefits most from residential proxies.

FAQ

Where do I find a seller ID? On any product page, click the "Sold by" seller name. The URL contains seller= (the ID), e.g. /sp?seller=A1ODG4ICFE5MU3.

Why is businessName sometimes null? Some sellers (especially 1P "Amazon.com" and certain individual sellers) do not publish a business name/address. hasBusinessDetails tells you whether any were found.

Can I get every storefront product? Set includeStorefrontProducts: true and raise maxStorefrontProducts / maxStorefrontPages. Amazon paginates storefronts at ~48 products per page.

Does it scrape product details or reviews? No — use Amazon Product Scraper and Amazon Reviews Scraper for those. This actor focuses on the seller entity.

Legal

This actor scrapes only publicly available data from Amazon seller profile pages. It does not access private data or bypass authentication. You are responsible for using the output in compliance with Amazon's Terms of Service, applicable laws (including data-protection regulations such as GDPR/CCPA), and the rights of the data subjects. Do not use this actor for unlawful purposes. This tool is provided for legitimate research, compliance, and business-intelligence use cases.