Amazon Seller Scraper | Emails, Phones and Ratings

Amazon Seller Scraper | Seller Emails, Phones, VAT and Ratings (2026)

From SilentFlow. Creators of Facebook Search Scraper and JD Products Scraper (#1 for “jd scraper” in Apify Store search), with 950,000+ combined lifetime runs.

Turn any Amazon keyword, product or best-seller list into a contact list of the third-party sellers behind it: legal business name, VAT and trade register numbers, phone, email, address and how buyers rated them over 30 days, 90 days, 12 months and lifetime. 15 sellers from one keyword in 24 seconds on amazon.de, every one of them with an email and a phone number, no Amazon account needed. Turn on the website search and each seller's own website joins the row, with the extra emails and phones printed on it.

Why choose this actor?

Opening Amazon offer panels one by one to find out who actually sells a product? Copying seller profiles into a spreadsheet, then searching the web for their phone number? Running a seller scraper that wants a seller link you do not have yet?

• The emails Amazon does not show, from the seller's own website, never from a namesake's. Turn on enrichEmails and every business seller gets its company website, the emails and phones printed on it and whether it takes payments online (takesPayments, with paymentProcessors such as Shopify, Shopware, PayPal or Amazon Pay). A site counts only when it shows the seller's VAT or register number, its Amazon email or phone, its registered name, its office address or a link to its Amazon store, and websiteMatchedBy says which. For kaffeemühle on amazon.de (7 Nov 2026), 12 of 15 sellers got their website, 6 of them confirmed by their register or VAT number. On amazon.com, where seller pages show no email at all, 4 of 15 sellers of phone case came back with an email to write to in contactEmail.
• 35 filled fields per seller, plus buyer feedback with the seller's replies. On the prefilled run (keyword phone case, amazon.de, 15 sellers, measured on 24 Sep 2026), 35 of the 39 fields of a row carry a value on at least half of the rows: the legal businessName and businessType, registrationNumber, vatNumber, phone, email, businessAddress, postalCode, countryCode, the seller's own aboutSeller text, the rating and ratings count over four periods (30 days, 90 days, 12 months, lifetime), the share of positive and negative ratings, the 1 to 5 star breakdown, whether Amazon ships the seller's offers (hasFbaOffer) and the products each seller was found through. All 15 sellers came back with an email, a phone number and a VAT number. Set maxFeedbackPerSeller and each row also carries the seller's newest buyer feedback: stars, full comment, date, buyer, Amazon's note when it struck a feedback from the score, and the seller's reply, up to 1,000 per seller.
• Keywords, Amazon links and ids, on several stores in one run. Type a product keyword, paste seller profiles, storefronts, product pages, best-seller lists or category pages, or list seller ids (A18EE9GVRFMIY1) and ASINs (B0CTCD7CS5) as they are, with no mode to pick. Add stores in marketplaces and the same keywords and ids run on amazon.de, amazon.fr, amazon.it and amazon.es at once, out of 20 stores including Brazil and Saudi Arabia. Keep only the sellers of one country with sellerCountry, and add each storefront's product count with includeStorefront. One cap, maxItems, is shared fairly across everything you enter.

Try your first seller list

Paste this input into the Input tab (JSON view) and press Start. It is the prefilled input of the form: the first 15 third-party sellers behind the products amazon.de shows for "phone case".

{
  "keywords": ["phone case"],
  "marketplace": "de",
  "maxItems": 15,
  "includeStorefront": false
}

Runs of this size fit easily in the Apify Free plan, so you can try the actor on your own niche before scheduling anything. Each seller is one row of the dataset; export it as JSON, CSV, Excel or HTML from the Storage tab, or read it from the API. The Sellers view shows name, business name, country, email, phone, website, rating and a link to the profile at a glance; the Business details, Ratings over time, Websites and contacts and Buyer feedback views show the rest.

Copy to your AI assistant

Paste this block into Claude, ChatGPT or Cursor to give it full context about this actor:

You have access to the Amazon Seller Scraper on Apify: silentflow/amazon-seller-scraper
It returns one row per Amazon third-party seller and marketplace, from public Amazon pages. No Amazon account.

Input (all optional; with nothing at all the run searches "phone case" on amazon.de):
- keywords (array of strings): product searches on the marketplace, e.g. ["phone case", "yoga mat"].
  The actor opens the offers of each product found and reads the sellers behind them.
- startUrls (array of {"url": string}): Amazon links. Seller profile https://www.amazon.de/sp?seller=A18EE9GVRFMIY1,
  storefront https://www.amazon.de/s?me=A18EE9GVRFMIY1, product https://www.amazon.de/dp/B0CTCD7CS5 (every seller
  of the product), search, best-seller or category page (the sellers of its products). The store in the link wins.
- ids (array of strings): seller ids ("A18EE9GVRFMIY1") or ASINs ("B0CTCD7CS5"), read on the marketplace below.
- marketplace (string, default "de"): de, com, co.uk, fr, it, es, nl, pl, se, com.be, ca, com.mx, com.br, com.au,
  co.jp, in, sg, ae, sa, com.tr.
- marketplaces (array of strings, optional): more stores the same keywords and ids run on, e.g. ["fr", "it", "es"].
- maxItems (integer, default 50): total sellers delivered, shared fairly across keywords, links, ids and stores.
- sellerCountry (string, optional): keep only sellers whose business address is in this country, as a two-letter code
  ("DE"), a three-letter code ("DEU") or an English name ("Germany").
- enrichEmails (boolean, default false): find each business seller's own website, confirmed by its VAT or register
  number, Amazon email or phone, registered name, office address or a link to its Amazon store; adds the emails and
  phones printed on it, takesPayments and paymentProcessors, and fills contactEmail when Amazon shows no email.
- includeStorefront (boolean, default false): also read each seller's storefront for productCount and departments.
- maxFeedbackPerSeller (integer, default 0, up to 1000): newest buyer feedback added to each row; 0 for none.

Output per row (49 fields, null when Amazon shows no value):
- Identity: id (seller id), url (profile, permanent), name, marketplace, storefrontUrl, logoUrl
- Business details (EU impressum, US INFORM Act): isBusinessSeller, businessName, businessType, registrationNumber,
  vatNumber, phone (international format when published with a country code), email, businessAddress,
  postalCode, countryCode (ISO), customerServiceAddress, aboutSeller
- contactEmail: the email to write to, Amazon's own, else one in the seller's About text, else one of its website
- Website (enrichEmails only): website, websiteEmails[], websitePhones[], websiteFoundBy (email-domain | about-text |
  business-name | domain-guess), websiteMatchedBy (seller-id | company-number | email | phone | registered-name |
  postcode | amazon-store, else where it was found), takesPayments, paymentProcessors[]
- Ratings: rating, ratingCount, positivePercent, negativePercent, ratingBreakdown {"1".."5": percent}
  (last 12 months, as Amazon's headline), rating30d, ratingCount30d, positivePercent30d, rating90d, ratingCount90d,
  positivePercent90d, ratingLifetime, ratingCountLifetime, positivePercentLifetime
- Feedback (maxFeedbackPerSeller only): feedback[] newest first, each {rating, text, date (RFC 3339), rater,
  suppressed, suppressedReason, sellerResponse, sellerResponseDate}, and feedbackComplete
- Storefront (includeStorefront only): productCount, departments[]
- Meta: hasFbaOffer (Amazon ships at least one of its offers found), sourceAsins[] (products it was found through),
  foundBy (keyword | product | seller | listing), query (the input that led to it), scrapedAt (RFC 3339 UTC)

European stores publish email, phone, VAT and register number; amazon.com publishes business name and address,
so turn on enrichEmails there for emails.
Use apify-client for Python or JavaScript: client.actor("silentflow/amazon-seller-scraper").call(run_input={...}).

How to scrape Amazon seller data

Four inputs, from the simplest to a combined run. Each one runs as is.

Build a seller list from a product keyword

One keyword on one store. The actor walks the search results page after page, opens the offers of every product and returns each third-party seller once, with the products it was found through in sourceAsins.

{
  "keywords": ["yoga mat"],
  "marketplace": "de",
  "maxItems": 50
}

One results page brought 16 sellers for "phone case" on amazon.de in our tests. The search goes deeper until your maximum is reached.

Find every seller of one product

An ASIN in the ids field, or a product link, reads the full offer list of that product: the buy box seller and every other merchant in the list. Useful for brand owners who want to know who resells their products.

{
  "ids": ["B0CTCD7CS5"],
  "marketplace": "de"
}

Keep only German companies from a best-seller list

Paste a best-seller, category or search link and keep only the sellers registered in one country. The store in the link is used, whatever the marketplace field says.

{
  "startUrls": [
    { "url": "https://www.amazon.de/gp/bestsellers/computers/" }
  ],
  "sellerCountry": "DE",
  "includeStorefront": true,
  "maxItems": 30
}

In our test run, 5 of the 11 sellers read from the computers best-seller list were based in Germany, printer ink and office supply shops listing from 1,551 to 6,466 products each.

Get the emails amazon.com does not show

amazon.com seller pages publish a business name and an address, never an email. Turn on the website search: each business seller's own website is looked up, kept only when it proves to be the seller's, and its emails and phones are added to the row.

{
  "keywords": ["phone case"],
  "marketplace": "com",
  "enrichEmails": true,
  "maxItems": 15
}

In our test run (7 Nov 2026), 4 of the 15 sellers came back with an email in contactEmail: two from their confirmed website, two written in their About text. Most sellers of a phone case search are factories with no website of their own; a keyword where brands and local shops sell gives more.

Input parameters

Field	Type	Default	What it does
keywords	array of strings	prefilled ["phone case"]	Product searches on the marketplace. The sellers behind the products found become rows.
startUrls	array of links	none	Seller profiles, storefronts, product pages, search, best-seller and category pages. The store in the link wins.
ids	array of strings	none	Seller ids (A18EE9GVRFMIY1) read as one seller each, ASINs (B0CTCD7CS5) read as every seller of the product.
marketplace	select	de	The Amazon store for keywords and ids: 20 stores from amazon.de and amazon.com to amazon.co.jp and amazon.com.tr.
marketplaces	multi-select	empty	More stores the same keywords and ids run on in the same run, such as fr, it and es next to amazon.de.
maxItems	integer	50 (prefilled 15)	Total sellers delivered, shared fairly across keywords, links, ids and stores. No fixed upper limit.
sellerCountry	select	empty	Country of the seller's business address, picked in the list or typed as a code (DE, DEU) or an English name (Germany). Empty keeps every seller.
enrichEmails	boolean	false	Finds each business seller's own website and adds the emails and phones printed on it, whether it takes payments online, and contactEmail when Amazon shows no email. Adds a few seconds per seller.
includeStorefront	boolean	false	Adds productCount and departments from each seller's storefront, one more page per seller.
maxFeedbackPerSeller	integer	0	How many of each seller's newest buyer feedback to add, up to 1,000. 0 leaves feedback out.

Accepted formats

• Seller profile: https://www.amazon.de/sp?seller=A18EE9GVRFMIY1, also the older /gp/aag/main?seller= and /gp/help/seller/at-a-glance.html?seller= links.
• Storefront: https://www.amazon.de/s?me=A18EE9GVRFMIY1, with or without marketplaceID.
• Product: https://www.amazon.de/dp/B0CTCD7CS5, /gp/product/B0CTCD7CS5, and the long product links with a title before /dp/.
• Listing: a search (/s?k=yoga+mat with any filters you set on Amazon), a best-seller, new release or movers list (/gp/bestsellers/..., /zgbs/...), or a category page (/b?node=340852031).
• Seller id: the 12 to 14 characters after seller=, starting with A.
• ASIN: the 10 characters after /dp/ in any product link.
• Links can be typed without https:// and pasted from any of the 20 supported stores; a link pasted in the ids field is read as a link. Short amzn.eu and amzn.to links are not read: open them once in a browser and paste the full link.

What data can you extract from Amazon?

One row per seller and marketplace, 49 fields, grouped the way you read them:

• Identity (6): id (the seller id, stable), url (the public profile, permanent), name (the store name buyers see), marketplace, storefrontUrl, logoUrl.
• Business details (12): isBusinessSeller, businessName (the legal name), businessType (as Amazon states it, such as "Privately-owned business"), registrationNumber (trade register or company number), vatNumber, phone, email, businessAddress, postalCode, countryCode, customerServiceAddress and aboutSeller, the seller's own presentation text, often a full legal notice with managing directors and register court.
• Email to write to (1): contactEmail, the email Amazon publishes, else one the seller wrote in its About text, else the first one of its own website.
• Own website (7, with enrichEmails): website, websiteEmails and websitePhones (the contacts printed on the site), websiteFoundBy (where the address came from: the domain of the seller's Amazon email, a link in its About text, its name or a domain its name suggests), websiteMatchedBy (what proves the site is the seller's: seller-id, company-number, email, phone, registered-name, postcode, amazon-store, or where the seller itself pointed to it), takesPayments and paymentProcessors.
• Ratings (14): rating, ratingCount, positivePercent and negativePercent for the last 12 months, the figures Amazon puts at the top of the profile; ratingBreakdown, the share of 5, 4, 3, 2 and 1 star ratings over 12 months; and the same average, count and positive share for the last 30 days, the last 90 days and the seller's whole lifetime.
• Buyer feedback (2, with maxFeedbackPerSeller): feedback, the newest feedback first, each with rating (1 to 5 stars), text, date, rater, suppressed and suppressedReason (Amazon struck it from the seller's score, and why), sellerResponse and sellerResponseDate; and feedbackComplete, true when the list holds every feedback of the seller.
• Storefront (2, on request): productCount, the number of products the storefront lists, and departments.
• Meta (5): hasFbaOffer, sourceAsins, foundBy, query, scrapedAt.

A few facts that help you use the data:

• id and url never change for a seller. logoUrl points to Amazon's image server and stays valid as long as the seller keeps that logo.
• European stores publish each business seller's legal notice, so email, phone, vatNumber and registrationNumber are filled for nearly every row there: 15 of 15 emails and phones, 15 of 15 VAT numbers and 14 of 15 register numbers on the prefilled amazon.de run. amazon.com publishes the business name and address only.
• Phone numbers published with a country code are written the way CRMs expect (+8613612878053); others are kept as the seller wrote them. Phones found on a seller's website are always in that international form.
• A website is returned only when it proves to be the seller's. A site found under the seller's name that shows none of the proofs is left out, so a namesake's contacts never reach your list.
• Percentages are whole numbers from 0 to 100, computed from Amazon's own rating counts exactly like the "x% positive" line of the profile. A period without ratings has a count of 0 and null averages.
• scrapedAt is an RFC 3339 UTC timestamp.

Output example

A real row from our test run (keyword kaffeemühle on amazon.de, website search on, 3 feedback per seller); the seller's long About text is shortened here:

{
  "id": "A1HGMGYB1DCDU3",
  "url": "https://www.amazon.de/sp?seller=A1HGMGYB1DCDU3",
  "name": "cw-mobile",
  "marketplace": "amazon.de",
  "storefrontUrl": "https://www.amazon.de/s?me=A1HGMGYB1DCDU3&marketplaceID=A1PA6795UKMFR9",
  "logoUrl": "https://m.media-amazon.com/images/I/21WIIchsPsL.jpg",
  "isBusinessSeller": true,
  "businessName": "cw-mobile GmbH",
  "businessType": "Privately-owned business",
  "registrationNumber": "HRB9718",
  "vatNumber": "DE306222857",
  "phone": "+49855297411150",
  "email": "amazon@cw-mobile.de",
  "businessAddress": "Altenstein, 19, Grafenau, Bayern, 94481, DE",
  "postalCode": "94481",
  "countryCode": "DE",
  "customerServiceAddress": "Altenstein, 19, Grafenau, Bayern, 94481, DE",
  "aboutSeller": "cw-mobile GmbH\nAltenstein 19\n94481 Grafenau\nDeutschland\nAnmeldenummer im örtlichen Handelsregister oder anderen Registern: Amtsgericht Passau, HRB9718\nUmsatzsteuer-Identifikationsnummer: DE 306222857 ...",
  "contactEmail": "amazon@cw-mobile.de",
  "website": "https://www.cw-mobile.de/",
  "websiteEmails": ["info@cw-mobile.de", "b2b@cw-mobile.de"],
  "websitePhones": ["+49855297411150", "+498552974111"],
  "websiteFoundBy": "email-domain",
  "websiteMatchedBy": "company-number",
  "takesPayments": true,
  "paymentProcessors": ["Amazon Pay"],
  "rating": 4.4,
  "ratingCount": 170,
  "positivePercent": 85,
  "negativePercent": 12,
  "ratingBreakdown": { "1": 11, "2": 1, "3": 4, "4": 6, "5": 78 },
  "rating30d": 4.4,
  "ratingCount30d": 10,
  "positivePercent30d": 90,
  "rating90d": 4.4,
  "ratingCount90d": 43,
  "positivePercent90d": 88,
  "ratingLifetime": 4.8,
  "ratingCountLifetime": 28702,
  "positivePercentLifetime": 97,
  "feedback": [
    {
      "rating": 1,
      "text": "The seller did not send the goods",
      "date": "2026-11-04T00:00:00Z",
      "rater": "Hennadii H.",
      "suppressed": false,
      "suppressedReason": null,
      "sellerResponse": null,
      "sellerResponseDate": null
    },
    {
      "rating": 5,
      "text": "Besten Dank, nachdem eine Stornierung nicht mehr möglich war, stellte ich die Präzision dieses Gerätes fest, es ist auch ohne Empfangsstation nutzbar.",
      "date": "2026-11-02T00:00:00Z",
      "rater": "BWW",
      "suppressed": false,
      "suppressedReason": null,
      "sellerResponse": null,
      "sellerResponseDate": null
    },
    {
      "rating": 4,
      "text": "Produkt .O. aber keine deutsche Gebrauchsanweisung dabei",
      "date": "2026-10-28T00:00:00Z",
      "rater": "Amazon Kunde",
      "suppressed": false,
      "suppressedReason": null,
      "sellerResponse": null,
      "sellerResponseDate": null
    }
  ],
  "feedbackComplete": false,
  "productCount": null,
  "departments": null,
  "hasFbaOffer": false,
  "sourceAsins": ["B07J6JLW11"],
  "foundBy": "keyword",
  "query": "kaffeemühle",
  "scrapedAt": "2026-11-07T13:10:31Z"
}

A seller found through a keyword carries the search in query, the products it offers in sourceAsins and hasFbaOffer true or false; a seller read by id leaves those two null.

Advanced usage

Prospect German sellers across several niches

Several keywords share one cap, so each niche gets its part of the list. The country filter keeps only companies registered in Germany, the ones a German agency can call and invoice.

{
  "keywords": ["trinkflasche", "lunchbox", "yoga matte"],
  "marketplace": "de",
  "sellerCountry": "DE",
  "maxItems": 150
}

Most sellers of a mass-market keyword are based abroad, so a country filter reads many more products to fill the list: 66 sellers were read to keep 10 Italian ones for "borraccia termica" on amazon.it, in about three minutes.

Map every reseller of your products

List your own ASINs and get every merchant offering them, with their legal identity and how long they have kept a good rating. A good start for brand protection and distribution audits.

{
  "ids": ["B0CTCD7CS5", "B0B375ZY12"],
  "marketplace": "de",
  "maxItems": 100
}

Watch a set of sellers' ratings every week

Schedule a run on the seller ids you follow (Schedules tab, weekly). Comparing rating30d with rating and ratingLifetime shows who is slipping before the 12-month average moves.

{
  "ids": ["A18EE9GVRFMIY1", "ANPMVOZDRIH7A", "A3GX1RCD4Z9H04"],
  "marketplace": "de"
}

Size up the sellers of a niche

Turn on the storefront option to add how many products each seller lists: a quick way to separate a brand's official shop from a reseller with thousands of references. In our test, every one of the 15 rows got its product count.

{
  "keywords": ["coffee grinder"],
  "marketplace": "de",
  "includeStorefront": true,
  "maxItems": 40
}

Read one seller on several European stores

A seller keeps the same id across Amazon's European stores. List the stores in marketplaces to compare its ratings country by country, or to get the VAT number it uses in each one: one row per store.

{
  "ids": ["ANPMVOZDRIH7A"],
  "marketplace": "de",
  "marketplaces": ["it", "es", "nl"]
}

Prospect one niche across four European stores

The same keyword runs on every store listed, each store giving its own sellers, and maxItems is shared across them. With the website search on, each business seller also brings its own website contacts.

{
  "keywords": ["yoga mat"],
  "marketplace": "de",
  "marketplaces": ["fr", "it", "es"],
  "enrichEmails": true,
  "maxItems": 100
}

Read what buyers say about a seller

Add the newest buyer feedback to each row, with the seller's replies: a fast way to see how a competitor or a reseller of your products treats its customers. feedbackComplete is true when the list holds all of them.

{
  "ids": ["A18EE9GVRFMIY1"],
  "marketplace": "de",
  "maxFeedbackPerSeller": 50
}

In our test, the DWD-Company seller had replied to several of its 1 and 2 star feedback the next day, and Amazon had struck one of them from its score because the delivery problem was not the seller's.

To send the rows to your team's tools, connect the run to Google Sheets, Slack, Make, Zapier or a webhook from the Integrations tab, or read the dataset from the Apify API in JSON, CSV or Excel.

FAQ

What does this actor extract from Amazon? One row per third-party seller: the store name and profile link, the legal business name and type, trade register number, VAT number, phone, email, business address with postal and country code, customer service address, the seller's presentation text, and ratings over 30 days, 90 days, 12 months and lifetime with the share of positive and negative ratings. With the options, the seller's own website with its emails and phones, the newest buyer feedback with the seller's replies, and the number of products the seller lists.

Which marketplaces give emails and phone numbers? The European stores (amazon.de, .fr, .it, .es, .nl, .pl, .se, .com.be) publish each business seller's legal notice: email, phone, VAT number, register number and address are filled for nearly every seller there (all 15 sellers of our amazon.de test run, all 10 of our amazon.it one). amazon.com publishes the business name and address; other stores publish what their own rules require.

Which ways can I find sellers? Three, in one run: product keywords, Amazon links (seller profiles, storefronts, product pages, search, best-seller and category pages) and ids (seller ids and ASINs). Mix them freely; a seller reached twice is delivered once. Add stores in marketplaces to run the same keywords and ids on several stores at once.

Can I get emails for amazon.com sellers? Yes, with enrichEmails on. amazon.com seller pages show no email, so the actor looks up each business seller's own website and adds the emails and phones printed on it; contactEmail then holds one to write to. An email the seller wrote in its About text is used too, with or without the option. Brands and local shops usually have a site; factories that sell only on Amazon usually do not.

How do I know the website really belongs to the seller? A site is kept only when it proves it: it shows the seller's VAT or register number, the email or phone the seller gives Amazon, its registered name with the legal form, its office address, or a link to the seller's own Amazon store. A site at the domain of the seller's own Amazon email, or one the seller links in its About text, is its own as well. websiteMatchedBy says which proof was found and websiteFoundBy where the address came from. A namesake's site shows none of them and is left out.

What does takesPayments mean? It is true when the seller's website runs an online shop or a payment provider (Shopify, Shopware, WooCommerce, Magento, Stripe, PayPal, Klarna, Amazon Pay and others, listed in paymentProcessors), false when the site was read and shows none. Agencies use it to tell a brand that sells direct from one that only sells on Amazon.

Can I read the buyer feedback of a seller? Yes: set maxFeedbackPerSeller (for example 50) and each row carries that many of the seller's newest feedback, with stars, the full comment, the date, the buyer's name, whether Amazon struck it from the score and why, and the seller's reply. feedbackComplete says whether that is all of it.

Do I need an Amazon account or a seller account? No. The actor reads public Amazon pages, the same profiles any shopper can open without signing in. There is no login, no key and nothing to configure.

How many sellers can I get? There is no fixed limit: set maxItems to what you need. A keyword is followed for up to 20 result pages, and a product's offer list for up to 10 pages. Add more keywords or links to go wider; a seller found twice is delivered once.

Are Amazon's own offers included? No. Offers sold by Amazon itself, including Amazon's returns and warehouse offers, are skipped: every row is a third-party seller.

Why do some rows have no business name or no email? The seller did not publish it. Most sellers on European stores publish the full notice, but some publish only a VAT number, a phone and an email. On amazon.com the profile shows no email: turn on enrichEmails to look for one on the seller's website. The field is then null, never an empty string.

What does hasFbaOffer mean? It is true when Amazon ships at least one of the seller's offers found in the run (Fulfilled by Amazon), false when the seller ships everything itself. It is null for sellers read directly by id or profile link, since no offer was looked at.

How fresh is the data? Live. Every run reads Amazon at run time: ratings, counts and contact details are those of the moment the run happens, nothing is cached. Schedule the actor weekly to follow ratings over time.

Why does a seller id return no row? The seller closed its account, or the id belongs to another region: an id from amazon.com is not a seller on amazon.de. The run summary counts these ids. European stores share seller ids with each other.

What is Amazon's legal notice (impressum)? EU consumer law requires every business selling online to name itself: company name, address, register and VAT numbers and a way to contact it. Amazon shows it on each seller's profile under "Detailed Seller Information". This actor reads that box on every seller it finds.

Is it legal to contact these sellers? The details are those sellers are required to publish, but how you use them is up to you: B2B outreach in Europe must follow GDPR and national rules on unsolicited messages. See the Legal compliance section below.

More SilentFlow scrapers

🛒 E-commerce

• JD - JD Products Scraper | JD.com Prices, Brands and Barcodes
• Pinterest - Pinterest Scraper | Pins, Boards and Profiles
• Udemy Course - Udemy Course Scraper
• TikTok Shop - TikTok Shop Scraper | Products, Sellers and Creator Videos
• Leboncoin - Leboncoin Scraper | Classified Ads, Prices and Sellers
• Back Market - Back Market Scraper | Refurbished Prices
• Leboncoin - Leboncoin Ad Details Scraper
• Allegro - Allegro Scraper | Products, Prices and Sellers
• Naver - Naver Reviews Scraper | Shopping Product Reviews
• Naver - Naver Scraper | Shopping Products, Prices and Reviews
• ImportYeti - ImportYeti Scraper | Suppliers, Importers and Bills of Lading
• Keepa - Keepa Scraper | Amazon Price History and Offers
• Coupang - Coupang Detail Scraper | Product Prices and Options
• Naver - Naver Products Scraper | Shopping Prices, Sellers and Ratings
• 1688 - 1688 Scraper | Products, Reviews, Details, Wholesale Prices
• Taobao - Taobao Scraper | Products, Details, Prices and Sellers
• Avito - Avito Scraper | Listings, Prices and Sellers
• Pinterest - Pinterest Scraper
• Store Leads - Store Leads Scraper | Shopify Data
• Bring a Trailer - Bring a Trailer Scraper
• Che168 - Che168 Scraper | Used Car Listings and Prices
• Ctrip - Ctrip Scraper | Attractions, Tickets and Reviews
• Eventim - Eventim Scraper | Events, Ticket Prices and Venues
• GasBuddy - GasBuddy Scraper | Gas Prices by Station
• Leboncoin - Leboncoin Scraper
• Store Leads Ecommerce - Store Leads Ecommerce Scraper
• Alibaba - Alibaba Products Scraper | Wholesale Prices and MOQ
• Alibaba - Alibaba Scraper | Products, Supplier Companies and Prices
• Avito - Avito Profiles Scraper | Sellers, Ratings and Reviews
• Back Market - Back Market Scraper | Refurbished Electronics Prices
• BAUHAUS - BAUHAUS Scraper | Product Prices, EAN and Specs
• CARFAX - CARFAX Scraper | Used Cars, Prices and History
• Leboncoin - Leboncoin Details Scraper | Full Ad Data and Sellers
• Lowes - Lowes Products Scraper | Prices, Stock and Specs
• Mobile.de - Mobile.de Scraper
• Udemy - Udemy Scraper
• 1688 - 1688 Reviews Scraper | Ratings, Buyer Photos and Variants
• Acquire - Acquire Scraper | Startups for Sale & Prices
• Agoda - Agoda Scraper | Hotel Prices and Guest Ratings
• AliExpress - AliExpress Reviews Scraper | Feedback, Ratings and Photos
• AliExpress - AliExpress Scraper | Products, Prices and Sales
• Apple - Apple Scraper | App Store Apps, Ratings and Charts
• Coles - Coles Products Scraper | Prices, Specials and Nutrition
• eBay Marketplace - eBay Marketplace Scraper
• Europages - Europages Scraper | Suppliers and B2B Companies
• GetYourGuide - GetYourGuide Scraper | Tours, Activities, Prices & Reviews
• Goofish - Goofish Detail Scraper | Listings, Prices and Sellers
• Google Hotels - Google Hotels Scraper | Prices, Offers and Ratings
• Homedepot - Homedepot Reviews Scraper | Customer Reviews and Ratings
• Judge - Judge Scraper | Reviews, Ratings and Store Profiles
• MakersRow - MakersRow Scraper | Manufacturers, Capabilities and Reviews
• OfferUp - OfferUp Scraper | Listings, Prices and Sellers
• OLX - OLX Scraper | Brazil Listings, Prices and Sellers
• RA - RA Scraper | Events, Lineups and Tickets
• Sahibinden - Sahibinden Scraper | Real Estate and Car Listings
• Ticombo - Ticombo Scraper | Ticket Prices and Listings
• Trip - Trip Scraper | Hotels, Prices and Reviews
• Uniqlo - Uniqlo Scraper | Products, Prices and Stock
• Vinted Marketplace - Vinted Marketplace Scraper
• VividSeats - VividSeats Scraper | Tickets, Prices and Events
• Walmart - Walmart Scraper | Prices, Reviews, Sellers, Availability
• Webmotors - Webmotors Scraper | Car Listings, Prices and FIPE
• Wildberries - Wildberries Detail Scraper | Product Data, Prices & Sellers
• Woolworths - Woolworths Products Scraper | Prices, Specials and Nutrition
• YandexMarket - YandexMarket Scraper | Products, Prices and Sellers
• Zap - Zap Scraper | Prices and Store Offers
• Amazon - Amazon Product Scraper
• Amazon Marketplace - Amazon Marketplace Scraper
• AutoScout24 - AutoScout24 Scraper
• Carousell - Carousell Scraper | Listings, Prices and Sellers
• eBay Listings - eBay Listings Scraper
• Europages Deep Dive Extractor - Europages Deep Dive Extractor | VAT, Decision Makers, ISO Certs
• Mercari - Mercari Scraper | Listings, Sold Prices and Sellers
• TickPick - TickPick Scraper | Ticket Prices and Events
• Vinted - Vinted Scraper
• Walmart - Walmart Product Scraper

💼 Jobs

• ZipRecruiter - ZipRecruiter Jobs Scraper | Salary, Company & Location Filters
• Jobright - Jobright Scraper | Jobs, Salaries and H1B Sponsors
• Malt Freelancer - Malt Freelancer Scraper
• Multi Board - Multi Board Job Scraper
• Glassdoor Job Listings - Glassdoor Job Listings Scraper
• Indeed - Indeed Company Reviews Scraper
• Glassdoor - Glassdoor Jobs Scraper
• Jora - Jora Jobs Scraper
• LinkedIn Job Search - LinkedIn Job Search Scraper | Salaries & Seniority
• Malt - Malt Scraper | Freelance Profiles
• Cutshort - Cutshort Jobs Scraper | Salaries, Skills and Companies
• Dice - Dice Jobs Scraper | US Tech Jobs, Salaries, Skills
• Dice Tech - Dice Tech Jobs Scraper
• Francetravail - Francetravail Scraper | Job Offers and Salaries
• Freelancermap - Freelancermap Scraper | Projects, Skills and Companies
• 🔥 Glassdoor - 🔥 Glassdoor Scraper
• Gupy - Gupy Jobs Scraper | Brazil Jobs and Employers
• iimjobs - iimjobs Jobs Scraper | MBA, Finance and Hirist Tech Jobs
• Indeed - Indeed Companies Scraper | Reviews, Salaries, Interviews
• Instahyre - Instahyre Jobs Scraper | Companies, Recruiters and Ratings
• Jora - Jora Scraper | Jobs in Australia, New Zealand, Singapore
• Kununu - Kununu Reviews Scraper | Employee Ratings and Interviews
• Naukri & NaukriGulf - Naukri & NaukriGulf Jobs Scraper
• StepStone - StepStone Scraper
• Welcome to the Jungle - Welcome to the Jungle Job Scraper
• YCombinator - YCombinator Jobs Scraper | Startup Jobs, Salaries and Founders
• All - All Jobs Scraper
• Arbeitsagentur - Arbeitsagentur Scraper | German and Austrian Job Board
• Arbeitsagentur - Arbeitsagentur Jobs Scraper
• ATS - ATS Jobs Scraper | Greenhouse, Lever and Ashby
• iimjobs - iimjobs Scraper | Jobs, Companies and Recruiters
• Indeed - Indeed Jobs Scraper | NLP Skills
• Indeed - Indeed Jobs Scraper | Job Listings in 73 Countries
• LinkedIn - LinkedIn Jobs Scraper
• Seek - Seek Job Scraper
• Welcome to the Jungle - Welcome to the Jungle Scraper | Jobs and Company Data
• Zhaopin - Zhaopin Scraper | Jobs, Salaries and Companies
• Ziprecruiter - Ziprecruiter Scraper

🏠 Real estate

• SeLoger - SeLoger Scraper | Real Estate Listings
• Realtor Rental Listings - Realtor Rental Listings Scraper
• Airbnb Pro Host Contact & - Airbnb Pro Host Contact & Email Scraper
• Airbnb Professional Host - Airbnb Professional Host Scraper | Emails, Phones, SIRET
• Bien'ici - Bien'ici Scraper | Property Listings
• Idealista - Idealista Scraper
• Realestate.com.au - Realestate.com.au Scraper
• SeLoger - SeLoger Scraper | French Property Listings and Agencies
• Trulia Rental Listings - Trulia Rental Listings Scraper
• Rightmove - Rightmove Scraper
• Airbnb - Airbnb Detail Scraper | Listings, Hosts and Availability
• Bienici - Bienici Scraper
• Domclick - Domclick Scraper | Real Estate Listings
• Imovelweb - Imovelweb Scraper | Real Estate Listings
• OpenRent - OpenRent Scraper | Rental Listings and Landlords
• Propwire - Propwire Scraper | Property Owner Leads
• Realtor - Realtor Detail Scraper | Property Details and Price History
• Redfin - Redfin Detail Scraper | Property Data, Estimates and Flood Risk
• Redfin - Redfin Scraper | Listings, Sold Homes and Agents
• Zapimoveis - Zapimoveis Scraper | Real Estate Listings and Prices
• Zillow - Zillow Scraper
• Airbnb Search - Airbnb Search Scraper | Prices, Fees, Amenities, Hosts
• Airbnb Search - Airbnb Search Scraper
• Anjuke - Anjuke Scraper | Rental Listings, Prices and Agents
• Idealista - Idealista Scraper
• Realtor Rental - Realtor Rental Scraper
• SeLoger - SeLoger Products Scraper | Property Listings and Agencies
• Trulia Rental - Trulia Rental Scraper | US Rentals, Prices, Pet Policy

📣 Social media

• Douyin - Douyin Transcript Scraper | Subtitles and Speech to Text
• Facebook Search - Facebook Search Scraper
• LinkedIn Post Search - LinkedIn Post Search Scraper | Keywords, Hashtags & Profiles
• Instagram - Instagram Story Scraper | Stories & Highlights
• Facebook Search - Facebook Search Profiles Scraper | People by Name or Keyword
• LinkedIn Leads - LinkedIn Leads Scraper | Sales Navigator Export
• TikTok Creative - TikTok Creative Ads Scraper | Top Ads, Landing Pages & Metrics
• TikTok Trend - TikTok Trend Scraper | Trending Hashtags and Videos
• OnlyFans - OnlyFans Profile Scraper
• Discord - Discord Scraper | Servers, Member Counts and Invites
• Pinterest - Pinterest Ads Scraper | Ad Library, Reach & Targeting
• Discord - Discord Profiles Scraper | Users, Badges and Server Tags
• LinkedIn Ads Library - No Cookies - LinkedIn Ads Library Scraper - No Cookies
• LinkedIn Hashtag & - LinkedIn Hashtag & Post Scraper | No Cookies
• LinkedIn Sales Navigator - LinkedIn Sales Navigator Scraper
• Reddit - Reddit Scraper | Posts, Comments and Subreddits
• Snapchat - Snapchat Contacts Scraper | Phones, Emails and Websites
• Snapchat - Snapchat Videos Scraper | Spotlight Videos, MP4 and Stats
• TwitchTracker - TwitchTracker Scraper | Twitch Streamer Stats and Rankings
• YouTube - YouTube Channel Scraper | Videos, Shorts and Views
• Bilibili - Bilibili Scraper | Videos, Profiles, Comments, Danmaku
• Facebook Business Page - Facebook Business Page Scraper
• Kwai - Kwai Scraper | Videos, Creators and Hashtags
• Likee - Likee Scraper | Videos, Hashtags and Creators
• LinkedIn Event - LinkedIn Event Scraper
• LinkedIn People Search - LinkedIn People Search Scraper | Profiles & Companies
• Meta Ad Library - Meta Ad Library Scraper
• X Timeline - X Timeline Scraper | Tweets and Engagement Stats
• Bandsintown - Bandsintown Scraper | Concerts and Tour Dates
• Bluesky - Bluesky Scraper | Posts, Profiles and Followers
• Douyin - Douyin Comments Scraper | Comments, Likes and IP Regions
• Douyin - Douyin Hashtags Scraper | Views, Creators and Topics
• Facebook Thread - Facebook Thread Profiles Scraper | Followers, Bios & Engagement
• Kuaishou - Kuaishou Scraper | Videos, Comments and Creator Stats
• LoyalFans - LoyalFans Scraper | Creator Profiles and Prices
• Pinterest - Pinterest Profiles Scraper | Followers, Emails and Bios
• Pinterest - Pinterest Videos Scraper | Video Downloader, MP4 Links, Stats
• Pornhub - Pornhub Videos Scraper | Search, Tags and Stream Links
• Reddit - Reddit Comments Scraper | Search, Threads and Replies
• Reddit - Reddit Profiles Scraper | User Karma, Activity and Communities
• RedNote - RedNote Videos Scraper | Downloader, Transcripts and Stats
• Skool Community - Skool Community Scraper
• Telegram - Telegram Comments Scraper | Replies, Authors and Reactions
• Telegram - Telegram Posts Scraper | Views, Reactions and Comments
• Telegram - Telegram Scraper | Channel Posts, Views and Reactions
• TikTok Lookalike - TikTok Lookalike Scraper | Influencers, Emails and Engagement
• TikTok - TikTok Scraper
• Twitch - Twitch Contacts Scraper | Emails and Social Links
• Twitch - Twitch Scraper | Streamers, Emails and Clips
• Xigua - Xigua Scraper | Videos, Creators and Downloads
• YouTube Autocomplete - YouTube Autocomplete Scraper | Keyword Suggestions
• Facebook - Facebook Company Scraper | Emails, Phones, Ratings
• Instagram Engagement - Instagram Engagement Scraper
• OnlyFans - OnlyFans Profiles Scraper | Creator Prices, Stats & Links
• OnlyFans - OnlyFans Creator Scraper
• Reddit - Reddit Scraper | Comments, Posts and Users
• RedNote - RedNote Detail Scraper | Xiaohongshu Details, Images, Videos
• Skool Group - Skool Group Scraper
• Snapchat - Snapchat Ads Scraper | Ad Library, Impressions & Targeting
• Weibo - Weibo Scraper | Posts, Profiles, Followers and Engagement
• YouTube - YouTube Transcript Scraper

🏢 Business data

• LinkedIn Company Search - LinkedIn Company Search Scraper | Profiles & Firmographics
• Teachable Course - Teachable Course Scraper
• Website Tech Stack - Website Tech Stack Scraper
• Teachable - Courses, Prices & Instructors - Teachable Scraper - Courses, Prices & Instructors
• Trustpilot - Trustpilot Scraper | Reviews, Ratings and Company Contacts

✈️ Travel

• Tencent - Tencent Scraper | Maps Places, Phones and Ratings
• Viator - Viator Reviews Scraper | Tour Reviews and Ratings
• 2GIS - 2GIS Reviews Scraper | Ratings, Photos and Owner Replies
• Apple Maps - Apple Maps Scraper | Places, Phones and Emails
• Booking.com Hotel - Booking.com Hotel Scraper
• Despegar - Despegar Reviews Scraper | Hotel Reviews and Ratings
• Flight Price - Flight Price Scraper
• Kakao - Kakao Scraper | Map Places, Reviews and Phones
• Mafengwo - Mafengwo Scraper | Attractions, Ratings and Tickets
• OpenTable - OpenTable Reviews Scraper | Restaurant Reviews and Ratings
• TheFork - TheFork Scraper | Restaurants, Menus and Ratings
• Trip - Trip Reviews Scraper | Hotel Reviews and Ratings
• Zomato - Zomato Reviews Scraper | Restaurant Ratings and Replies
• Booking - Booking Scraper | Hotel Prices, Photos, Availability
• Google Maps - Google Maps Scraper

🎯 Lead generation

• Northdata - Northdata Company Scraper
• Dealroom - Dealroom Scraper | Companies and Investors
• UK Companies House - UK Companies House Enricher
• ZocDoc - ZocDoc Scraper | Doctors, Reviews and Availability
• PagesJaunes - PagesJaunes Scraper | French Business Emails and SIRET
• Similarweb - Similarweb Scraper | Website Traffic, Rankings and Competitors
• SIRET - SIRET Company Enricher
• BuiltWith - BuiltWith Scraper | Tech Stacks and Top Sites
• KVK - KVK Scraper | Dutch Companies and SBI Codes
• Dealroom Startup Data - Dealroom Startup Data Scraper
• Justdial - Justdial Companies Scraper | Business Leads, Phones and Emails
• PagesJaunes - PagesJaunes Business Scraper
• ThomasNet Suppliers - ThomasNet Suppliers Scraper
• ALEO - ALEO Scraper | Polish Companies and Financials
• BBB - BBB Scraper | Ratings, Reviews and Complaints
• Clutch - Clutch Scraper | Agencies, Reviews, Ratings, Services
• CNPJ Brazilian - CNPJ Brazilian Company Enricher
• Company Data - Company Data Scraper | Emails, Phones and Tech Stack
• CSLB - CSLB Scraper | Contractor Licenses, Bonds and Leads
• Delaware - Delaware Scraper | Corporations, LLCs and Registered Agents
• French Company Prospector - French Company Prospector
• G2 - G2 Reviews Scraper
• Paginasamarillas - Paginasamarillas Scraper | Business Leads, Emails and Phones
• Pappers - Pappers Scraper | French Companies, Directors & Financials
• SEC - SEC Scraper | EDGAR Filings and Company Data
• SoftwareAdvice - SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons
• Sunbiz - Sunbiz Scraper | Florida Companies and Officers
• TrustRadius - TrustRadius Reviews Scraper | Ratings, Pros and Cons
• USPTO - USPTO Scraper | Trademark Search and Status
• Clutch Agency - Clutch Agency Scraper
• Domain - Domain Enricher
• Google Ads Transparency - Google Ads Transparency Scraper
• SIRET French - SIRET French Company Enricher
• Sunbiz - Sunbiz Companies Scraper | New Florida Business Leads
• ZocDoc - ZocDoc Scraper

🔎 SEO

• SpyFu - SpyFu Scraper | SEO, PPC and Competitor Data
• Scribd - Scribd Scraper | Documents, Authors and Views
• Apple - Apple Reviews Scraper | App Store Reviews and Ratings
• Bing - Bing Enricher Scraper | Mobile Friendly Test and Indexing
• Google News - Google News Scraper
• Yandexsearch - Yandexsearch Scraper | Search Results and Rankings

🎬 Video

• Pexels - Pexels Scraper | Photos, Videos and Download Stats

📰 News

• ForexFactory - ForexFactory Scraper | Economic Calendar and Forecasts
• FT - FT Scraper | Financial Times Articles, Authors and Topics
• OpenAI - OpenAI Scraper | News, Blog Posts and Research
• Bloomberg - Bloomberg Scraper | News Articles and Full Text

🧰 More tools

• FanDuel - FanDuel Scraper | Odds, Spreads and Player Props
• PrizePicks - PrizePicks Scraper | Player Props, Lines and Projections
• Equibase - Equibase Scraper | Horse Racing Entries and Results
• Maersk - Maersk Scraper | Vessel Schedules and Port Calls
• Screener - Screener Scraper | Stock Fundamentals, NSE & BSE

Support

Need something this actor does not do yet? We ship features fast.

• Feature requests go straight to our backlog
• Enterprise needs? We do custom integrations and high-volume plans
• Pricing questions? Check the Monetization tab on the actor page

Response time: usually under 24 hours.

Legal compliance

This actor extracts publicly available data from Amazon seller profiles and offer listings. It does not bypass any login, paywall or CAPTCHA. Users are responsible for complying with Amazon's terms of service and with applicable data protection laws (GDPR, CCPA, and PIPL where relevant). Business names, addresses, register and VAT numbers are business information that sellers are required to publish; the email and phone of a sole trader or a named manager are personal data, and so are those printed on a seller's own website, so handle them accordingly and respect the rules on unsolicited messages before contacting anyone. The data returned is informational; verify it before using it for regulated decisions.

Amazon Seller Scraper by SilentFlow: the sellers behind any Amazon product, with the details to reach them.