Amazon Seller Info Scraper

Find out who is behind an Amazon store. For each seller ID or seller link, get the store name, the ratings for each period, and the business details Amazon publishes: legal name and address everywhere, the CNPJ in Brazil, and the VAT number, trade register, phone and email in Europe. Seven Amazon countries, up to 1000 sellers per run.

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⚠️ A residential proxy is required Apify Proxy's residential group comes pre-selected and is included in the price, so a run works as it is; or use your own proxy provider. See Proxy setup. Then paste seller IDs or seller links, pick the country and run it. No login, no browser.

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Quick Start

{
  "sellers": ["A3KYQPNF87CGZT", "https://www.amazon.com.br/sp?seller=A38XG6DPY3XTGC"],
  "country": "br"
}

Tip: Take the seller IDs from the Buy Box and offer lists of your products, then run them here to see the company behind each store.

More examples

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Supported Countries

Country	country	Business details Amazon shows
Brazil (default)	br	Legal name, CNPJ (or CPF for a person), address, and a phone for some sellers
United States	us	Business name and address
United Kingdom	uk	Legal name, business type, trade register, VAT, phone, business and customer service addresses
Germany	de	Business or individual seller, legal name, business type, trade register, VAT, phone, email, addresses
France	fr	Same as Germany
Spain	es	Same as Germany
Italy	it	Same as Germany

Amazon prints what each seller filled in, so a field can be empty for one seller and filled for the next. Labels in any of the six languages are read, and the fields come out with the same names in every country.

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Features

Feature	Description
Business Identity	Legal name, CNPJ (validated) or CPF, VAT number, trade register number and business type
Contact	Phone, email and the customer service phone the seller shows
Address	Full business address, its lines, postal code, state (Brazil and US) and country, plus the customer service address
Ratings	Positive feedback %, rating and rating count for the last month, 3 months, 12 months and lifetime, and the 5 to 1 star split
Any Link	Seller IDs, seller pages, storefronts (me=) and product links with smid=, one per line or pasted from a spreadsheet
Bulk	Up to 1000 sellers per run, checked eight at a time
Fair Billing	You pay per seller read, Apify's residential proxy included. Sellers that are not found or fail are free

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Use Cases

• Brand Protection: Turn the store names on your listings into legal entities with a tax ID and an address
• Seller Due Diligence: Check a supplier or a competitor's company and track record before doing business with them
• CNPJ Enrichment: Match Amazon Brazil stores to their CNPJ and cross them with the Receita Federal records
• Marketplace Research: Map which companies sell in a category, where they are based and how they are rated
• Rating Monitoring: Schedule runs to follow how a seller's ratings move month by month

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Input Parameters

Parameter	Type	Default	Description
sellers	array	none	Seller IDs (e.g. A3KYQPNF87CGZT) or links with the seller in them, one per line (required). Up to 1000; repeats are checked once
country	string	br	Amazon country for the seller IDs (see the table above). A link is read on its own Amazon site, whatever is chosen here
proxyConfiguration	object	Apify Proxy, RESIDENTIAL	Required. Apify Proxy's residential group, included in the price, or your own provider's proxy URLs. See Proxy setup

A line can hold several IDs separated by commas, semicolons or spaces, as pasted from a spreadsheet. These links all work: the seller page (/sp?seller=), the storefront (/s?me=), the seller's offer link (/gp/aag/main?seller=), a product page reached from the "Sold by" name (smid=) and the contact form (sellerID=). An entry that is neither a seller ID nor such a link is skipped, with an error row saying why, and the rest of the run goes on.

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Proxy setup

The Actor needs a residential proxy. Set it in the Proxy section of the input, in one of two ways.

Apify Proxy (pre-selected). Keep Apify Proxy with the RESIDENTIAL group; it is included in the per-seller price, with nothing to set up on your side. Each seller is read from an address in the country of its Amazon site (amazon.de from Germany, amazon.com.br from Brazil); leave the country empty for that, or pick one to use it for every seller.

{
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Your own provider. Choose Own proxies and enter your provider's residential proxy URLs, such as http://user:password@proxy.example.com:8000. Your provider bills you for that traffic; use addresses in the country of the Amazon site you check.

{
  "proxyConfiguration": { "useApifyProxy": false, "proxyUrls": ["http://user:password@proxy.example.com:8000"] }
}

A run without a proxy stops at the start and says so. With datacenter proxies Amazon turns most requests away, so most sellers come back as errors; the run's log and final status message point that out.

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Output Example

One row per seller:

{
  "record_type": "seller",
  "seller_id": "A3KYQPNF87CGZT",
  "country": "br",
  "seller_name": "WISE SHOPPING ⭐⭐⭐⭐⭐",
  "seller_url": "https://www.amazon.com.br/sp?seller=A3KYQPNF87CGZT",
  "storefront_url": "https://www.amazon.com.br/s?me=A3KYQPNF87CGZT",
  "rating": 4.2,
  "positive_feedback_pct": 81,
  "feedback_count": 63,
  "feedback_period": "12m",
  "rating_1m": 2.0,
  "rating_count_1m": 4,
  "rating_3m": 3.8,
  "rating_count_3m": 13,
  "rating_12m": 4.2,
  "rating_count_12m": 63,
  "rating_lifetime": 4.6,
  "rating_count_lifetime": 1894,
  "stars_5_pct": 73,
  "stars_4_pct": 8,
  "stars_3_pct": 0,
  "stars_2_pct": 2,
  "stars_1_pct": 17,
  "just_launched": false,
  "has_business_info": true,
  "is_business_seller": true,
  "business_name": "WISE SHOPPING COMERCIO DE PRODUTOS LTDA",
  "business_type": null,
  "trade_register_number": null,
  "vat_number": null,
  "cnpj": "23236497000147",
  "cnpj_valid": true,
  "cpf": null,
  "phone": null,
  "email": null,
  "customer_service_phone": null,
  "business_address": "AV AVENIDA ALBERT EINSTEIN, 80, BLOCO E SALA 05 CONJ 02, TABOAO DA SERRA, SP, 06780900, BR",
  "business_address_lines": [
    "AV AVENIDA ALBERT EINSTEIN, 80",
    "BLOCO E SALA 05 CONJ 02",
    "TABOAO DA SERRA",
    "SP",
    "06780900",
    "BR"
  ],
  "business_postal_code": "06780900",
  "business_state": "SP",
  "business_country": "BR",
  "customer_service_address": null,
  "about_seller": "WISE SHOPPING ⭐⭐⭐⭐⭐ assume o compromisso de oferecer a cada cliente o mais alto nível de atendimento.",
  "other_info": null,
  "scraped_at": "2026-10-26T04:14:18.079237+00:00"
}

A seller in Europe fills the European fields instead (amazon.it):

{
  "seller_id": "A3AXTBIO0H5DID",
  "country": "it",
  "seller_name": "Brit_Books",
  "is_business_seller": true,
  "business_name": "Brit Books Limited",
  "business_type": "Impresa privata",
  "trade_register_number": "06809965",
  "vat_number": "GB972432513",
  "phone": "+447824099626",
  "email": "customercare@britbooks.co.uk",
  "business_address": "35 Burners Lane, MILTON KEYNES, Milton Keynes, MK11 3HA, GB",
  "business_postal_code": "MK11 3HA",
  "business_country": "GB"
}

Two views of the same data

View	Columns	Use it for
Sellers (default)	Everything on the seller page	Ratings and the full profile
Business details	Identity, tax IDs, contact and address	Who is behind each store

Both are on the Output tab and export to JSON, CSV or Excel. Through the API, add ?view=business to the dataset items URL.

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Data Fields

Field	Type	Description
record_type	string	seller (read), not_found (no seller page for this ID in this country) or error
seller_id	string	The seller ID checked. For an error row about an invalid entry, the entry as given
country	string	Amazon country checked
seller_name	string	Store name shown on Amazon
seller_url	string	Seller page in this country
storefront_url	string	The seller's products in this country
rating	number	Average rating (1 to 5) over feedback_period
positive_feedback_pct	number	Share of 4 and 5 star ratings over feedback_period, as in Amazon's header
feedback_count	number	Ratings over feedback_period
feedback_period	string	The period Amazon's header speaks of: 12m, or lifetime for a seller with few recent ratings
rating_1m, rating_3m, rating_12m, rating_lifetime	number	Average rating per period. Null for a period without ratings
rating_count_1m, rating_count_3m, rating_count_12m, rating_count_lifetime	number	Ratings per period
stars_5_pct to stars_1_pct	number	Share of each star rating over feedback_period
just_launched	boolean	A new seller Amazon shows without ratings yet
has_business_info	boolean	The page shows a legal name, tax ID, trade register or business address
is_business_seller	boolean	true for a company, false for a person (Europe's individual sellers, Brazil's CPF). Null when the page does not say, as on amazon.com and amazon.co.uk
business_name	string	Legal or business name
business_type	string	Type of business, as worded in that country (Europe)
trade_register_number	string	Company register number (Europe)
vat_number	string	VAT number (Europe)
cnpj	string	Brazilian company tax ID, 14 characters without punctuation
cnpj_valid	boolean	The CNPJ's check digits are right. Covers the alphanumeric CNPJ issued since July 2026
cpf	string	Brazilian personal tax ID, shown by Amazon for a seller who is a person
phone, email	string	Business phone and email from the business details
customer_service_phone	string	Phone the seller shows next to their description
business_address	string	Full business address on one line
business_address_lines	array	The address as Amazon prints it, one line per item
business_postal_code	string	Postal code (digits only in Brazil)
business_state	string	State code, in Brazil and the United States
business_country	string	Two-letter country code of the address
customer_service_address	string	Customer service address, when the page shows one (United Kingdom and Europe). It can repeat the business address
about_seller	string	The seller's own description, up to 2000 characters
other_info	object	Other rows of the business details, by label (e.g. Capital social in France)
error	object	On not_found and error rows: error_code, message and details
scraped_at	string	ISO 8601 timestamp (UTC)

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Integrations

Use the API tab on the Actor page to get ready-to-use code examples in Python, JavaScript, and cURL, generated with the correct parameters for immediate integration.

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FAQ

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Support

1. Check the FAQ above for common questions
2. Test with the prefilled example to confirm expected output
3. Contact support through Apify for additional assistance