# Europages Business Leads Scraper (`burly_allergy/europages-b2b-scraper`) Actor Europages Business Leads Scraper lets you extract structured contact data from Europe's largest B2B marketplace — without writing a single line of code. What you get per company: ✅ Email address ✅ Website URL ✅ Phone number ✅ Company name & description ✅ Location (country, city) ✅ Industry - **URL**: https://apify.com/burly\_allergy/europages-b2b-scraper.md - **Developed by:** [EURO PAGES](https://apify.com/burly_allergy) (community) - **Categories:** Lead generation, Automation, Agents - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / actor start 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 ## EuroPages Company Scraper Scrapes company contact data from [europages.co.uk](https://www.europages.co.uk/) — Europe's leading B2B sourcing platform. ### What data does it extract? | Field | Description | |-------|-------------| | **Company Name** | Official company name from the profile header | | **Email** | Email address (from mailto links or page text) | | **Website** | Company's own website URL | | **Phone Number** | Phone number (reveals hidden numbers automatically) | | **Country** | Country where the company is based | | **Address** | Full postal address | | **Description** | Company description / about text | | **Company Type** | Manufacturer, Distributor, Service Provider, etc. | | **EuroPages URL** | Source URL of the company profile | ### How to use #### Option 1: Search by keyword Enter a search query (e.g. "construction", "furniture", "doors") and the scraper will: 1. Navigate to the EuroPages search results for that keyword 2. Collect company profile links from the listing pages 3. Visit each company profile and extract contact data ```json { "searchQuery": "construction", "maxResults": 50, "maxPages": 3 } ```` #### Option 2: Provide specific URLs Supply direct URLs to EuroPages company profiles or listing pages: ```json { "startUrls": [ { "url": "https://www.europages.co.uk/companies/construction.html" }, { "url": "https://www.europages.co.uk/FLESSYA-SRL/SEAC003605559-001.html" } ], "maxResults": 100 } ``` ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQuery` | string | `"construction"` | Keyword to search on EuroPages | | `startUrls` | array | `[]` | Direct EuroPages URLs to scrape (overrides searchQuery) | | `maxResults` | integer | `100` | Maximum number of companies to scrape (0 = unlimited) | | `maxPages` | integer | `5` | Maximum listing pages to crawl for company links | | `proxyConfiguration` | object | `{}` | Proxy settings (recommended for large-scale scraping) | ### Output example ```json { "companyName": "MGK CONSTRUCTION", "email": "info@mgk-construction.com", "website": "https://www.mgk-construction.com", "phoneNumber": "+48 123 456 789", "country": "Poland", "address": "ul. Tczewska 28b, Nowy Dwor Gdanski 82-100", "description": "We are a Polish company specializing in the rental of professional workers...", "companyType": "Service provider", "europagesUrl": "https://www.europages.co.uk/MGK-CONSTRUCTION/SEAC005123456-001.html" } ``` ### Tips for best results - **Use Apify Proxy** for large scraping runs to avoid rate limiting - **Start with small `maxResults`** (10-20) to test your search query first - **Not all companies have email/phone** listed publicly — some only offer a contact form - The scraper automatically tries to click "Show Number" buttons to reveal hidden phone numbers ### Technical details - Built with **Crawlee + Playwright** for full JavaScript rendering - Handles cookie consent banners automatically - Retries failed requests up to 3 times - 2-minute timeout per page for slow-loading profiles # Actor input Schema ## `searchQuery` (type: `string`): The keyword to search for on EuroPages (e.g. 'construction', 'doors', 'furniture') ## `startUrls` (type: `array`): Direct EuroPages listing or company detail URLs to scrape. If provided, searchQuery is ignored. ## `maxResults` (type: `integer`): Maximum number of companies to scrape (0 = unlimited) ## `maxPages` (type: `integer`): Maximum number of search result pages to crawl for company links ## `proxyConfiguration` (type: `object`): Proxy settings. Recommended for large-scale scraping to avoid blocks. ## Actor input object example ```json { "searchQuery": "construction", "startUrls": [], "maxResults": 100, "maxPages": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `dataset` (type: `string`): No description # 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 = { "searchQuery": "construction", "startUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("burly_allergy/europages-b2b-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 = { "searchQuery": "construction", "startUrls": [], } # Run the Actor and wait for it to finish run = client.actor("burly_allergy/europages-b2b-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 '{ "searchQuery": "construction", "startUrls": [] }' | apify call burly_allergy/europages-b2b-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=burly_allergy/europages-b2b-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Europages Business Leads Scraper", "description": "Europages Business Leads Scraper lets you extract structured contact data from Europe's largest B2B marketplace — without writing a single line of code.\nWhat you get per company:\n\n✅ Email address\n✅ Website URL\n✅ Phone number\n✅ Company name & description\n✅ Location (country, city)\n✅ Industry", "version": "0.0", "x-build-id": "3ksyfT6jaPXGIbCq3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/burly_allergy~europages-b2b-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-burly_allergy-europages-b2b-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/burly_allergy~europages-b2b-scraper/runs": { "post": { "operationId": "runs-sync-burly_allergy-europages-b2b-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/burly_allergy~europages-b2b-scraper/run-sync": { "post": { "operationId": "run-sync-burly_allergy-europages-b2b-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "The keyword to search for on EuroPages (e.g. 'construction', 'doors', 'furniture')", "default": "construction" }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct EuroPages listing or company detail URLs to scrape. If provided, searchQuery is ignored.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of companies to scrape (0 = unlimited)", "default": 100 }, "maxPages": { "title": "Max Listing Pages", "minimum": 1, "type": "integer", "description": "Maximum number of search result pages to crawl for company links", "default": 5 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Recommended for large-scale scraping to avoid blocks.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```