# Amazon DE Sellers Leads Scraper (`scrapio/amazon-de-sellers-leads-scraper`) Actor 🛒 Amazon.de Sellers Leads Scraper extracts German seller prospects from public pages—seller name, store URL, ratings, reviews, categories, product count & seller ID. 🇩🇪 Export to CSV/CRM. 🔍 Fast, accurate & scalable. 🚀 Ideal for B2B prospecting, agencies and sales teams. - **URL**: https://apify.com/scrapio/amazon-de-sellers-leads-scraper.md - **Developed by:** [Scrapio](https://apify.com/scrapio) (community) - **Categories:** Lead generation, E-commerce, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Amazon DE Sellers Leads Scraper **Extract seller leads from Amazon.de** — business names, contact details, ratings, and registration info from search result pages or direct product URLs. --- ### Main Keyword **Amazon.de seller scraper, Amazon Germany seller leads, Amazon DE business contacts** --- ### Description This Apify Actor scrapes **Amazon.de** (Amazon Germany) to collect **seller lead data**. You provide search result URLs or direct product URLs; the actor visits each product page, finds the seller, then fetches the seller profile and business information page. Results include ASIN, product name, seller ID, category, lifetime and recent ratings, about-seller text, business name, registration number, VAT, phone, email, and address. --- ### Why Choose Us? - **Bulk URLs** — Paste multiple search or product URLs in one run. - **Smart proxy fallback** — Starts with no proxy; if Amazon blocks, automatically switches to Datacenter then Residential proxy (with clear logs). - **Live saving** — Each seller lead is pushed to the dataset as it’s scraped, so you don’t lose data if the run stops. - **Deduplication** — Same (ASIN, seller) pair is only stored once. - **Structured output** — JSON matching your downstream tools (CRM, spreadsheets, APIs). --- ### Key Features | Feature | Description | |--------|-------------| | **Search & product URLs** | Use Amazon.de search URLs (e.g. `.../s?k=shirt&i=fashion-womens`) or direct product links (`.../dp/ASIN`). | | **Proxy configuration** | Default: no proxy. Optional Apify Proxy with automatic fallback (Datacenter → Residential, 3 retries) when blocked. | | **Max results** | Cap unique seller leads (1–500). | | **Optional keyword/category** | If you don’t paste URLs, you can set keyword + category to build one search URL. | --- ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | **startUrls** | array | No* | List of Amazon.de URLs (search or product). Each item: `{ "url": "https://..." }`. | | **keyword** | string | No | Used with `amazon_category` to build a search URL when no startUrls are provided. | | **amazon_category** | string | No | Category ID (e.g. `fashion-womens`) when building search from keyword. | | **sort_by** | string | No | Sort order for search (Featured, Best Sellers, Price, etc.). | | **maxResults** | integer | No | Max unique seller leads to collect (1–500). Default: 100. | | **proxyConfiguration** | object | Yes | Apify proxy settings. Default: no proxy; enable for fallback on blocks. | \* Either provide at least one URL in **startUrls** or both **keyword** and **amazon_category**. #### Example input ```json { "startUrls": [ { "url": "https://www.amazon.de/s?k=shirt&i=fashion-womens" } ], "maxResults": 50, "proxyConfiguration": { "useApifyProxy": false } } ```` *** ### Output The default dataset contains one item per **seller lead** (per product–seller pair). Each item has: | Field | Type | Description | |-------|------|-------------| | **asin** | string | Product ASIN. | | **product\_name** | string | Product title. | | **product\_url** | string | Link to product page. | | **seller\_id** | string | Amazon seller ID. | | **seller\_page\_url** | string | Link to seller profile. | | **category** | string | Breadcrumb category (e.g. Fashion > Damen > …). | | **rating\_lifetime** | number | null | Lifetime average rating. | | **reviews\_lifetime** | number | null | Lifetime review count. | | **rating\_1\_year** | number | null | 1-year average rating. | | **reviews\_1\_year** | number | null | 1-year review count. | | **rating\_3\_months** | number | null | 3-month average rating. | | **reviews\_3\_months** | number | null | 3-month review count. | | **about\_seller** | string | null | “About seller” text. | | **business\_name** | string | null | Registered business name. | | **business\_type** | string | null | Type of business. | | **registration\_number** | string | null | Trade register number. | | **vat\_number** | string | null | VAT ID. | | **phone\_number** | string | null | Phone. | | **email** | string | null | Email. | | **business\_address** | string | null | Full address. | | **country\_code** | string | null | Country (e.g. DE, US). | #### Example output item ```json { "asin": "B0FCS9LBVN", "product_name": "Ficerd 3er Pack Langarm Shirts für Damen...", "product_url": "https://www.amazon.de/dp/B0FCS9LBVN", "seller_id": "A3OJWAJQNSBARP", "seller_page_url": "https://www.amazon.de/sp?ie=UTF8&seller=A3OJWAJQNSBARP", "category": "Fashion > Damen > Bekleidung > Tops, T-Shirts & Blusen", "rating_lifetime": null, "reviews_lifetime": null, "rating_1_year": null, "reviews_1_year": null, "rating_3_months": null, "reviews_3_months": null, "about_seller": "Amazon Export Sales, LLC...", "business_name": "Amazon Export Sales LLC", "business_type": null, "registration_number": "82-0544687", "vat_number": null, "phone_number": "+1206-266-1000", "email": "ags-prodm-us-de@amazon.com", "business_address": "410 TERRY AVE N, Seattle, WA, 98109-5210, US", "country_code": "US" } ``` *** ### How to Use the Actor (via Apify Console) 1. Log in at [console.apify.com](https://console.apify.com) and go to **Actors**. 2. Find **Amazon DE Sellers Leads Scraper** and open it. 3. Set **Input**: - Add one or more URLs in **startUrls** (search or product), or set **keyword** and **amazon\_category**. - Set **maxResults** and **proxyConfiguration** (e.g. leave proxy off for first run). 4. Click **Start**. 5. Watch the **Log** tab for progress and proxy fallback messages. 6. Open the **Output** tab to see the dataset. 7. Export to JSON or CSV as needed. *** ### Best Use Cases - **Lead generation** — Build lists of Amazon.de sellers (name, email, phone) for outreach. - **Category research** — See who sells in a category and their ratings/addresses. - **Compliance / verification** — Collect business and registration info from seller pages. - **Competitor mapping** — From product URLs, get seller details for comparison. *** ### Frequently Asked Questions **Do I need a proxy?**\ No. By default the actor uses no proxy. Enable Apify Proxy if you get blocked; it will then try Datacenter and then Residential with retries. **Can I use only product URLs?**\ Yes. Put direct `amazon.de/dp/ASIN` (or `/gp/product/...`) URLs in **startUrls**. The actor will extract the seller from each product page. **Why are some fields null?**\ Not all sellers show business details or ratings. The actor returns what’s on the page; missing fields are `null`. **Is this against Amazon’s terms?**\ You are responsible for complying with Amazon’s terms of use and applicable law. The actor only reads publicly visible data. *** ### Support and Feedback For bugs or feature requests, use the Apify platform support or the actor’s repository/issues. *** ### Cautions - Data is collected from **publicly available** Amazon.de pages only. - No private or password-protected data is accessed. - You are responsible for **legal compliance** (e.g. GDPR, spam laws, data protection) when storing and using the scraped data. # Actor input Schema ## `keyword` (type: `string`): Product or search term (e.g. shirt, shoes). Used to build the Amazon.de search and find sellers. ## `amazon_category` (type: `string`): Amazon.de category for the search. Values are sent as category ID in the search URL (e.g. fashion-womens). ## `sort_by` (type: `string`): Sort order for search results. ## `maxResults` (type: `integer`): Maximum number of unique seller leads to collect per run (1–500). ## `startUrls` (type: `array`): Optional: Amazon.de search or product URLs. If provided, these are used in addition to or instead of the product type + category search. ## `proxyConfiguration` (type: `object`): Default: no proxy. If Amazon blocks requests, the actor falls back to Datacenter proxy, then Residential (with 3 retries). ## Actor input object example ```json { "keyword": "shirt", "amazon_category": "fashion-womens", "sort_by": "Featured", "maxResults": 100, "startUrls": [], "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapio/amazon-de-sellers-leads-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("scrapio/amazon-de-sellers-leads-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [], "proxyConfiguration": { "useApifyProxy": false } }' | apify call scrapio/amazon-de-sellers-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapio/amazon-de-sellers-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon DE Sellers Leads Scraper", "description": "🛒 Amazon.de Sellers Leads Scraper extracts German seller prospects from public pages—seller name, store URL, ratings, reviews, categories, product count & seller ID. 🇩🇪 Export to CSV/CRM. 🔍 Fast, accurate & scalable. 🚀 Ideal for B2B prospecting, agencies and sales teams.", "version": "1.0", "x-build-id": "RKUGbq0ovf7GeGYj0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapio~amazon-de-sellers-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapio-amazon-de-sellers-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapio~amazon-de-sellers-leads-scraper/runs": { "post": { "operationId": "runs-sync-scrapio-amazon-de-sellers-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapio~amazon-de-sellers-leads-scraper/run-sync": { "post": { "operationId": "run-sync-scrapio-amazon-de-sellers-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keyword", "amazon_category" ], "properties": { "keyword": { "title": "Product type you are looking sellers for (required)", "type": "string", "description": "Product or search term (e.g. shirt, shoes). Used to build the Amazon.de search and find sellers.", "default": "shirt" }, "amazon_category": { "title": "Amazon Category (required)", "enum": [ "fashion-womens", "fashion-mens", "fashion-kids", "electronics", "grocery", "toys", "sports", "books", "beauty", "home-garden", "automotive", "pet-supplies", "tools-garden", "baby", "health" ], "type": "string", "description": "Amazon.de category for the search. Values are sent as category ID in the search URL (e.g. fashion-womens).", "default": "fashion-womens" }, "sort_by": { "title": "Sort By", "enum": [ "Featured", "Best Sellers", "Price: Low to High", "Price: High to Low", "Avg. Customer Review", "Newest Arrivals", "Relevance", "Select..." ], "type": "string", "description": "Sort order for search results.", "default": "Featured" }, "maxResults": { "title": "Maximum results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of unique seller leads to collect per run (1–500).", "default": 100 }, "startUrls": { "title": "URLs (Search or Product)", "type": "array", "description": "Optional: Amazon.de search or product URLs. If provided, these are used in addition to or instead of the product type + category search.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Default: no proxy. If Amazon blocks requests, the actor falls back to Datacenter proxy, then Residential (with 3 retries)." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```