# Amazon Seller Scraper | Emails, Phones and Ratings (`silentflow/amazon-seller-scraper`) Actor

Amazon Seller Scraper: turn any keyword, product or best-seller list into a lead list of third-party sellers with business name, VAT number, phone, email, address and ratings over time. 15 sellers in 46 seconds, 35 fields each. Optional emails from seller websites, EU and US stores. No login.

- **URL**: https://apify.com/silentflow/amazon-seller-scraper.md
- **Developed by:** [SilentFlow](https://apify.com/silentflow) (community)
- **Categories:** E-commerce, Lead generation, Automation
- **Features:** Limited permissions
- **Stats:** 24 total users, 9 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.25 / 1,000 sellers

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

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

**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?

- <strong>The emails Amazon does not show, from the seller's own website, never from a namesake's.</strong> 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`.
- <strong>35 filled fields per seller, plus buyer feedback with the seller's replies.</strong> 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.
- <strong>Keywords, Amazon links and ids, on several stores in one run.</strong> 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".

```json
{
  "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.

![How it works](https://api.apify.com/v2/key-value-stores/YXm81xySHg6uRkewS/records/amazon-seller-scraper-how-it-works-v1.png)

### 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`.

```json
{
  "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.

```json
{
  "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.

```json
{
  "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.

```json
{
  "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:

```json
{
  "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.

```json
{
  "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.

```json
{
  "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.

```json
{
  "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.

```json
{
  "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.

```json
{
  "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.

```json
{
  "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.

```json
{
  "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.

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**📣 Social media**

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- **OnlyFans** - [OnlyFans Profile Scraper](https://apify.com/silentflow/onlyfans-scraper-ppe)
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- **Discord** - [Discord Profiles Scraper | Users, Badges and Server Tags](https://apify.com/silentflow/discord-profiles-scraper)
- **LinkedIn Ads Library - No Cookies** - [LinkedIn Ads Library Scraper - No Cookies](https://apify.com/silentflow/linkedin-ads-scraper)
- **LinkedIn Hashtag &** - [LinkedIn Hashtag & Post Scraper | No Cookies](https://apify.com/silentflow/linkedin-posts-scraper)
- **LinkedIn Sales Navigator** - [LinkedIn Sales Navigator Scraper](https://apify.com/silentflow/linkedin-sales-navigator-scraper)
- **Reddit** - [Reddit Scraper | Posts, Comments and Subreddits](https://apify.com/silentflow/reddit-scraper)
- **Snapchat** - [Snapchat Contacts Scraper | Phones, Emails and Websites](https://apify.com/silentflow/snapchat-contacts-scraper)
- **Snapchat** - [Snapchat Videos Scraper | Spotlight Videos, MP4 and Stats](https://apify.com/silentflow/snapchat-videos-scraper)
- **TwitchTracker** - [TwitchTracker Scraper | Twitch Streamer Stats and Rankings](https://apify.com/silentflow/twitchtracker-scraper)
- **YouTube** - [YouTube Channel Scraper | Videos, Shorts and Views](https://apify.com/silentflow/youtube-channel-scraper)
- **Bilibili** - [Bilibili Scraper | Videos, Profiles, Comments, Danmaku](https://apify.com/silentflow/bilibili-scraper)
- **Facebook Business Page** - [Facebook Business Page Scraper](https://apify.com/silentflow/facebook-company-scraper-ppe)
- **Kwai** - [Kwai Scraper | Videos, Creators and Hashtags](https://apify.com/silentflow/kwai-scraper)
- **Likee** - [Likee Scraper | Videos, Hashtags and Creators](https://apify.com/silentflow/likee-scraper)
- **LinkedIn Event** - [LinkedIn Event Scraper](https://apify.com/silentflow/linkedin-events-scraper)
- **LinkedIn People Search** - [LinkedIn People Search Scraper | Profiles & Companies](https://apify.com/silentflow/linkedin-profiles-companies-scraper-ppr)
- **Meta Ad Library** - [Meta Ad Library Scraper](https://apify.com/silentflow/meta-ad-library-scraper)
- **X Timeline** - [X Timeline Scraper | Tweets and Engagement Stats](https://apify.com/silentflow/x-timeline-scraper)
- **Bandsintown** - [Bandsintown Scraper | Concerts and Tour Dates](https://apify.com/silentflow/bandsintown-scraper)
- **Bluesky** - [Bluesky Scraper | Posts, Profiles and Followers](https://apify.com/silentflow/bluesky-scraper)
- **Douyin** - [Douyin Comments Scraper | Comments, Likes and IP Regions](https://apify.com/silentflow/douyin-comments-scraper)
- **Douyin** - [Douyin Hashtags Scraper | Views, Creators and Topics](https://apify.com/silentflow/douyin-hashtags-scraper)
- **Facebook Thread** - [Facebook Thread Profiles Scraper | Followers, Bios & Engagement](https://apify.com/silentflow/facebook-thread-profiles-scraper)
- **Kuaishou** - [Kuaishou Scraper | Videos, Comments and Creator Stats](https://apify.com/silentflow/kuaishou-scraper)
- **LoyalFans** - [LoyalFans Scraper | Creator Profiles and Prices](https://apify.com/silentflow/loyalfans-scraper)
- **Pinterest** - [Pinterest Profiles Scraper | Followers, Emails and Bios](https://apify.com/silentflow/pinterest-profiles-scraper)
- **Pinterest** - [Pinterest Videos Scraper | Video Downloader, MP4 Links, Stats](https://apify.com/silentflow/pinterest-videos-scraper)
- **Pornhub** - [Pornhub Videos Scraper | Search, Tags and Stream Links](https://apify.com/silentflow/pornhub-videos-scraper)
- **Reddit** - [Reddit Comments Scraper | Search, Threads and Replies](https://apify.com/silentflow/reddit-comments-scraper)
- **Reddit** - [Reddit Profiles Scraper | User Karma, Activity and Communities](https://apify.com/silentflow/reddit-profiles-scraper)
- **RedNote** - [RedNote Videos Scraper | Downloader, Transcripts and Stats](https://apify.com/silentflow/rednote-videos-scraper)
- **Skool Community** - [Skool Community Scraper](https://apify.com/silentflow/skool-scraper-ppe)
- **Telegram** - [Telegram Comments Scraper | Replies, Authors and Reactions](https://apify.com/silentflow/telegram-comments-scraper)
- **Telegram** - [Telegram Posts Scraper | Views, Reactions and Comments](https://apify.com/silentflow/telegram-posts-scraper)
- **Telegram** - [Telegram Scraper | Channel Posts, Views and Reactions](https://apify.com/silentflow/telegram-scraper)
- **TikTok Lookalike** - [TikTok Lookalike Scraper | Influencers, Emails and Engagement](https://apify.com/silentflow/tiktok-lookalike-scraper)
- **TikTok** - [TikTok Scraper](https://apify.com/silentflow/tiktok-scraper)
- **Twitch** - [Twitch Contacts Scraper | Emails and Social Links](https://apify.com/silentflow/twitch-contacts-scraper)
- **Twitch** - [Twitch Scraper | Streamers, Emails and Clips](https://apify.com/silentflow/twitch-scraper)
- **Xigua** - [Xigua Scraper | Videos, Creators and Downloads](https://apify.com/silentflow/xigua-scraper)
- **YouTube Autocomplete** - [YouTube Autocomplete Scraper | Keyword Suggestions](https://apify.com/silentflow/youtube-autocomplete-scraper)
- **Facebook** - [Facebook Company Scraper | Emails, Phones, Ratings](https://apify.com/silentflow/facebook-company-scraper)
- **Instagram Engagement** - [Instagram Engagement Scraper](https://apify.com/silentflow/instagram-engagement-scraper)
- **OnlyFans** - [OnlyFans Profiles Scraper | Creator Prices, Stats & Links](https://apify.com/silentflow/onlyfans-profiles-scraper)
- **OnlyFans** - [OnlyFans Creator Scraper](https://apify.com/silentflow/onlyfans-scraper)
- **Reddit** - [Reddit Scraper | Comments, Posts and Users](https://apify.com/silentflow/reddit-scraper-ppr)
- **RedNote** - [RedNote Detail Scraper | Xiaohongshu Details, Images, Videos](https://apify.com/silentflow/rednote-detail-scraper)
- **Skool Group** - [Skool Group Scraper](https://apify.com/silentflow/skool-scraper)
- **Snapchat** - [Snapchat Ads Scraper | Ad Library, Impressions & Targeting](https://apify.com/silentflow/snapchat-ads-scraper)
- **Weibo** - [Weibo Scraper | Posts, Profiles, Followers and Engagement](https://apify.com/silentflow/weibo-scraper)
- **YouTube** - [YouTube Transcript Scraper](https://apify.com/silentflow/youtube-transcript-scraper)

**🏢 Business data**

- **LinkedIn Company Search** - [LinkedIn Company Search Scraper | Profiles & Firmographics](https://apify.com/silentflow/linkedin-profiles-companies-scraper)
- **Teachable Course** - [Teachable Course Scraper](https://apify.com/silentflow/teachable-scraper)
- **Website Tech Stack** - [Website Tech Stack Scraper](https://apify.com/silentflow/website-tech-stack-scraper)
- **Teachable - Courses, Prices & Instructors** - [Teachable Scraper - Courses, Prices & Instructors](https://apify.com/silentflow/teachable-scraper-ppr)
- **Trustpilot** - [Trustpilot Scraper | Reviews, Ratings and Company Contacts](https://apify.com/silentflow/trustpilot-enricher)

**✈️ Travel**

- **Tencent** - [Tencent Scraper | Maps Places, Phones and Ratings](https://apify.com/silentflow/tencent-scraper)
- **Viator** - [Viator Reviews Scraper | Tour Reviews and Ratings](https://apify.com/silentflow/viator-reviews-scraper)
- **2GIS** - [2GIS Reviews Scraper | Ratings, Photos and Owner Replies](https://apify.com/silentflow/2gis-reviews-scraper)
- **Apple Maps** - [Apple Maps Scraper | Places, Phones and Emails](https://apify.com/silentflow/apple-maps-scraper)
- **Booking.com Hotel** - [Booking.com Hotel Scraper](https://apify.com/silentflow/booking-scraper-ppr)
- **Despegar** - [Despegar Reviews Scraper | Hotel Reviews and Ratings](https://apify.com/silentflow/despegar-reviews-scraper)
- **Flight Price** - [Flight Price Scraper](https://apify.com/silentflow/flight-price-scraper)
- **Kakao** - [Kakao Scraper | Map Places, Reviews and Phones](https://apify.com/silentflow/kakao-scraper)
- **Mafengwo** - [Mafengwo Scraper | Attractions, Ratings and Tickets](https://apify.com/silentflow/mafengwo-scraper)
- **OpenTable** - [OpenTable Reviews Scraper | Restaurant Reviews and Ratings](https://apify.com/silentflow/opentable-reviews-scraper)
- **TheFork** - [TheFork Scraper | Restaurants, Menus and Ratings](https://apify.com/silentflow/thefork-scraper)
- **Trip** - [Trip Reviews Scraper | Hotel Reviews and Ratings](https://apify.com/silentflow/trip-reviews-scraper)
- **Zomato** - [Zomato Reviews Scraper | Restaurant Ratings and Replies](https://apify.com/silentflow/zomato-reviews-scraper)
- **Booking** - [Booking Scraper | Hotel Prices, Photos, Availability](https://apify.com/silentflow/booking-scraper)
- **Google Maps** - [Google Maps Scraper](https://apify.com/silentflow/google-maps-scraper)

**🎯 Lead generation**

- **Northdata** - [Northdata Company Scraper](https://apify.com/silentflow/northdata-scraper)
- **Dealroom** - [Dealroom Scraper | Companies and Investors](https://apify.com/silentflow/dealroom-scraper-ppe)
- **UK Companies House** - [UK Companies House Enricher](https://apify.com/silentflow/uk-companies-house-enricher)
- **ZocDoc** - [ZocDoc Scraper | Doctors, Reviews and Availability](https://apify.com/silentflow/zocdoc-scraper-ppr)
- **PagesJaunes** - [PagesJaunes Scraper | French Business Emails and SIRET](https://apify.com/silentflow/pagesjaunes-scraper)
- **Similarweb** - [Similarweb Scraper | Website Traffic, Rankings and Competitors](https://apify.com/silentflow/similarweb-scraper)
- **SIRET** - [SIRET Company Enricher](https://apify.com/silentflow/siret-enricher-ppr)
- **BuiltWith** - [BuiltWith Scraper | Tech Stacks and Top Sites](https://apify.com/silentflow/builtwith-scraper)
- **KVK** - [KVK Scraper | Dutch Companies and SBI Codes](https://apify.com/silentflow/kvk-scraper)
- **Dealroom Startup Data** - [Dealroom Startup Data Scraper](https://apify.com/silentflow/dealroom-scraper)
- **Justdial** - [Justdial Companies Scraper | Business Leads, Phones and Emails](https://apify.com/silentflow/justdial-companies-scraper)
- **PagesJaunes** - [PagesJaunes Business Scraper](https://apify.com/silentflow/pagesjaunes-scraper-ppr)
- **ThomasNet Suppliers** - [ThomasNet Suppliers Scraper](https://apify.com/silentflow/thomasnet-scraper)
- **ALEO** - [ALEO Scraper | Polish Companies and Financials](https://apify.com/silentflow/aleo-scraper)
- **BBB** - [BBB Scraper | Ratings, Reviews and Complaints](https://apify.com/silentflow/bbb-scraper)
- **Clutch** - [Clutch Scraper | Agencies, Reviews, Ratings, Services](https://apify.com/silentflow/clutch-scraper)
- **CNPJ Brazilian** - [CNPJ Brazilian Company Enricher](https://apify.com/silentflow/cnpj-enricher)
- **Company Data** - [Company Data Scraper | Emails, Phones and Tech Stack](https://apify.com/silentflow/company-data-scraper)
- **CSLB** - [CSLB Scraper | Contractor Licenses, Bonds and Leads](https://apify.com/silentflow/cslb-scraper)
- **Delaware** - [Delaware Scraper | Corporations, LLCs and Registered Agents](https://apify.com/silentflow/delaware-scraper)
- **French Company Prospector** - [French Company Prospector](https://apify.com/silentflow/french-company-prospector)
- **G2** - [G2 Reviews Scraper](https://apify.com/silentflow/g2-review-intelligence)
- **Paginasamarillas** - [Paginasamarillas Scraper | Business Leads, Emails and Phones](https://apify.com/silentflow/paginasamarillas-scraper)
- **Pappers** - [Pappers Scraper | French Companies, Directors & Financials](https://apify.com/silentflow/pappers-scraper)
- **SEC** - [SEC Scraper | EDGAR Filings and Company Data](https://apify.com/silentflow/sec-scraper)
- **SoftwareAdvice** - [SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons](https://apify.com/silentflow/softwareadvice-scraper)
- **Sunbiz** - [Sunbiz Scraper | Florida Companies and Officers](https://apify.com/silentflow/sunbiz-scraper)
- **TrustRadius** - [TrustRadius Reviews Scraper | Ratings, Pros and Cons](https://apify.com/silentflow/trustradius-reviews-scraper)
- **USPTO** - [USPTO Scraper | Trademark Search and Status](https://apify.com/silentflow/uspto-scraper)
- **Clutch Agency** - [Clutch Agency Scraper](https://apify.com/silentflow/clutch-scraper-ppe)
- **Domain** - [Domain Enricher](https://apify.com/silentflow/domain-enricher)
- **Google Ads Transparency** - [Google Ads Transparency Scraper](https://apify.com/silentflow/google-ads-transparency-scraper)
- **SIRET French** - [SIRET French Company Enricher](https://apify.com/silentflow/siret-enricher)
- **Sunbiz** - [Sunbiz Companies Scraper | New Florida Business Leads](https://apify.com/silentflow/sunbiz-companies-scraper)
- **ZocDoc** - [ZocDoc Scraper](https://apify.com/silentflow/zocdoc-scraper)

**🔎 SEO**

- **SpyFu** - [SpyFu Scraper | SEO, PPC and Competitor Data](https://apify.com/silentflow/spyfu-scraper)
- **Scribd** - [Scribd Scraper | Documents, Authors and Views](https://apify.com/silentflow/scribd-scraper)
- **Apple** - [Apple Reviews Scraper | App Store Reviews and Ratings](https://apify.com/silentflow/apple-reviews-scraper)
- **Bing** - [Bing Enricher Scraper | Mobile Friendly Test and Indexing](https://apify.com/silentflow/bing-enricher-scraper)
- **Google News** - [Google News Scraper](https://apify.com/silentflow/google-news-scraper)
- **Yandexsearch** - [Yandexsearch Scraper | Search Results and Rankings](https://apify.com/silentflow/yandexsearch-scraper)

**🎬 Video**

- **Pexels** - [Pexels Scraper | Photos, Videos and Download Stats](https://apify.com/silentflow/pexels-scraper)

**📰 News**

- **ForexFactory** - [ForexFactory Scraper | Economic Calendar and Forecasts](https://apify.com/silentflow/forexfactory-scraper)
- **FT** - [FT Scraper | Financial Times Articles, Authors and Topics](https://apify.com/silentflow/ft-scraper)
- **OpenAI** - [OpenAI Scraper | News, Blog Posts and Research](https://apify.com/silentflow/openai-scraper)
- **Bloomberg** - [Bloomberg Scraper | News Articles and Full Text](https://apify.com/silentflow/bloomberg-scraper)

**🧰 More tools**

- **FanDuel** - [FanDuel Scraper | Odds, Spreads and Player Props](https://apify.com/silentflow/fanduel-scraper)
- **PrizePicks** - [PrizePicks Scraper | Player Props, Lines and Projections](https://apify.com/silentflow/prizepicks-scraper)
- **Equibase** - [Equibase Scraper | Horse Racing Entries and Results](https://apify.com/silentflow/equibase-scraper)
- **Maersk** - [Maersk Scraper | Vessel Schedules and Port Calls](https://apify.com/silentflow/maersk-scraper)
- **Screener** - [Screener Scraper | Stock Fundamentals, NSE & BSE](https://apify.com/silentflow/screener-scraper)

### 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.*

# Actor input Schema

## `keywords` (type: `array`):

Products to search on the marketplace, as a shopper would type them: <code>phone case</code>, <code>yoga mat</code>, <code>coffee grinder</code>. The actor opens the offers of each product found and returns the third-party sellers behind them, one row per seller. One results page brought 16 sellers for <code>phone case</code> on amazon.de; the search goes page after page until your maximum is reached.

## `startUrls` (type: `array`):

Paste links copied from any Amazon store:<ul><li>a seller profile: <code>https://www.amazon.de/sp?seller=A18EE9GVRFMIY1</code></li><li>a storefront: <code>https://www.amazon.de/s?me=A18EE9GVRFMIY1</code></li><li>a product, for every seller offering it: <code>https://www.amazon.de/dp/B0CTCD7CS5</code></li><li>a best-seller list, for the sellers behind its top products: <code>https://www.amazon.com/gp/bestsellers/kitchen/</code></li><li>a search or category page, for the sellers of its products: <code>https://www.amazon.de/s?k=yoga+mat</code></li></ul>The store in the link wins over the marketplace field, so one run can mix countries.

## `ids` (type: `array`):

A seller id (<code>A18EE9GVRFMIY1</code>, the value after <code>seller=</code> in a profile link) reads that seller. An ASIN (<code>B0CTCD7CS5</code>, the 10 characters after <code>/dp/</code>) reads every seller offering that product. Both are read on the marketplace below. An id Amazon does not know gives no row and is counted in the run summary.

## `marketplace` (type: `string`):

The Amazon store to search. European stores publish each business seller's legal details: <b>email, phone, VAT number, trade register number and address</b>. amazon.com publishes the business name and address. Links keep their own store.

## `marketplaces` (type: `array`):

Run the same keywords and ids on these stores too, in one run: add <code>fr</code>, <code>it</code> and <code>es</code> next to amazon.de to cover four European stores at once. Each store gives its own rows, and Max sellers is shared across them. Links keep their own store. Leave empty for the marketplace above only.

## `maxItems` (type: `integer`):

Stop after this many sellers, shared fairly across your keywords, links, ids and stores. 20 sellers from a keyword take under a minute. Set it to what you need, the cost grows with it.

## `sellerCountry` (type: `string`):

Keep only sellers whose business address is in this country: pick it in the list, or type its code (<code>DE</code>, <code>DEU</code>) or its English name. Most sellers of a typical keyword are based abroad (10 Italian sellers out of 66 read for <code>borraccia termica</code> on amazon.it), so the search reads more products to fill your maximum and takes longer. Leave empty for every seller.

## `enrichEmails` (type: `boolean`):

Look up each business seller's own website and add the <b>emails and phones printed on it</b> (<code>websiteEmails</code>, <code>websitePhones</code>), whether it <b>takes payments online</b> and with what (<code>takesPayments</code>, <code>paymentProcessors</code>), and fill <code>contactEmail</code> when Amazon shows no email. 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, so a namesake's site is never returned; <code>websiteMatchedBy</code> says which. 12 sellers out of 15 got their website for <code>kaffeemühle</code> on amazon.de; on amazon.com, where seller pages show no email, 2 out of 15 got one from their site. Adds a few seconds per seller.

## `includeStorefront` (type: `boolean`):

Open each seller's storefront to add <b>how many products it lists</b> (<code>productCount</code>) and its departments, a quick way to tell a large brand from a small shop. Adds one page per seller. A storefront that cannot be read leaves the row with every other field.

## `maxFeedbackPerSeller` (type: `integer`):

Add each seller's newest buyer feedback to its row (<code>feedback</code>): stars, full comment, date, buyer name, Amazon's note when it struck a feedback from the score, and the seller's reply. <code>5</code> adds the latest five, up to <code>1000</code>; <code>feedbackComplete</code> says when the list holds all of them. <code>0</code> leaves feedback out. Every 5 feedback add one short page per seller.

## Actor input object example

```json
{
  "keywords": [
    "phone case"
  ],
  "marketplace": "de",
  "maxItems": 15,
  "enrichEmails": false,
  "includeStorefront": false,
  "maxFeedbackPerSeller": 0
}
```

# Actor output Schema

## `overview` (type: `string`):

Seller name, business name, country, email, phone, website, 12-month rating, seller page.

## `business` (type: `string`):

Business name and type, VAT number, trade register number, address and country of each seller.

## `ratings` (type: `string`):

Ratings over 30 days, 90 days, 12 months and lifetime, share of positive ratings and ratings count.

## `websites` (type: `string`):

Own website of each seller, how it was confirmed, its emails and phones, and the payment and shop systems it runs.

## `feedback` (type: `string`):

Newest buyer feedback of each seller: stars, comment, date, buyer, Amazon's note and the seller's reply.

## `results` (type: `string`):

Every field of every seller: id, url, name, marketplace, storefrontUrl, logoUrl, isBusinessSeller, businessName, businessType, registrationNumber, vatNumber, phone, email, businessAddress, postalCode, countryCode, customerServiceAddress, aboutSeller, contactEmail, website, websiteEmails, websitePhones, websiteFoundBy, websiteMatchedBy, takesPayments, paymentProcessors, ratings over four periods, ratingBreakdown, feedback, feedbackComplete, productCount, departments, hasFbaOffer, sourceAsins, foundBy, query, scrapedAt.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "phone case"
    ],
    "maxItems": 15
};

// Run the Actor and wait for it to finish
const run = await client.actor("silentflow/amazon-seller-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["phone case"],
    "maxItems": 15,
}

# Run the Actor and wait for it to finish
run = client.actor("silentflow/amazon-seller-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "phone case"
  ],
  "maxItems": 15
}' |
apify call silentflow/amazon-seller-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,silentflow/amazon-seller-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/cSvTTTqAx3ZyUxgoS/builds/irZwjp4RrdpFyYcbc/openapi.json