# Website Contact & Email Extractor (`bohard/website-contact-extractor`) Actor Crawl any list of websites and extract emails, phone numbers and social media profiles for lead generation. - **URL**: https://apify.com/bohard/website-contact-extractor.md - **Developed by:** [Bohdan Shtelmakh](https://apify.com/bohard) (community) - **Categories:** Lead generation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Website Contact & Email Extractor Give it a list of websites — get back clean **emails, phone numbers and social media profiles** for each one. Built for lead generation, sales prospecting and market research. ### What it does For every website you provide, the actor: 1. Opens the homepage and automatically follows internal links, **prioritising contact / about / impressum pages**. 2. Extracts: - 📧 **Emails** — from `mailto:` links and page text (junk like image filenames and tracking IDs filtered out). - 📞 **Phone numbers** — from `tel:` links and visible text (only plausible 8–15 digit numbers). - 🔗 **Social profiles** — LinkedIn, Facebook, Instagram, X/Twitter, YouTube, TikTok, GitHub. 3. Returns **one clean record per domain**. It uses a lightweight HTTP crawler (Cheerio — no headless browser), so it is fast and cheap to run. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `startUrls` | array | — | Websites or bare domains to scan. Required. | | `maxPagesPerDomain` | integer | 10 | Pages to crawl per website (contact pages prioritised). | | `extractPhones` | boolean | true | Collect phone numbers. | | `extractSocials` | boolean | true | Collect social media links. | | `maxConcurrency` | integer | 10 | Parallel page fetches. | #### Example input ```json { "startUrls": [ { "url": "https://apify.com" }, { "url": "stripe.com" } ], "maxPagesPerDomain": 10, "extractPhones": true, "extractSocials": true } ```` ### Output Each dataset item looks like: ```json { "domain": "apify.com", "startUrl": "https://apify.com/", "emails": ["hello@apify.com", "support@apify.com"], "phones": ["+1 415 555 2671"], "socials": { "linkedin": "https://linkedin.com/company/apify", "twitter": "https://twitter.com/apify" }, "pagesCrawled": 8, "sourceUrls": ["https://apify.com/", "https://apify.com/contact"], "scrapedAt": "2026-05-30T20:00:00.000Z" } ``` Export it as JSON, CSV, Excel or Google Sheets from the Apify console or API. ### Run locally ```bash npm install npm test ## run unit tests apify run ## run the actor locally (requires apify-cli) ``` ### Notes & limits - Respects a hard page cap so a huge site can't run forever. - Only crawls the **same domain** as each start URL. - Does not bypass logins, paywalls or aggressive anti-bot protection. - Please use responsibly and in line with applicable laws (GDPR etc.) and each site's terms. # Actor input Schema ## `startUrls` (type: `array`): List of websites (or company domains) to crawl for contact details. You can paste full URLs (https://example.com) or bare domains (example.com). ## `maxPagesPerDomain` (type: `integer`): How many pages to crawl on each website while looking for contacts. Contact / about pages are always prioritised. Lower = faster & cheaper. ## `extractPhones` (type: `boolean`): Also collect phone numbers (from tel: links and visible text). ## `extractSocials` (type: `boolean`): Also collect links to Facebook, Instagram, LinkedIn, X/Twitter, YouTube, TikTok and GitHub. ## `maxConcurrency` (type: `integer`): How many pages to fetch in parallel. Keep this modest on small servers. ## Actor input object example ```json { "startUrls": [ { "url": "https://apify.com" } ], "maxPagesPerDomain": 10, "extractPhones": true, "extractSocials": true, "maxConcurrency": 10 } ``` # Actor output Schema ## `contacts` (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 = { "startUrls": [ { "url": "https://apify.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("bohard/website-contact-extractor").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": [{ "url": "https://apify.com" }] } # Run the Actor and wait for it to finish run = client.actor("bohard/website-contact-extractor").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": [ { "url": "https://apify.com" } ] }' | apify call bohard/website-contact-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bohard/website-contact-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact & Email Extractor", "description": "Crawl any list of websites and extract emails, phone numbers and social media profiles for lead generation.", "version": "0.1", "x-build-id": "R7OA2xrFXdGuK4PsA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bohard~website-contact-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bohard-website-contact-extractor", "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/bohard~website-contact-extractor/runs": { "post": { "operationId": "runs-sync-bohard-website-contact-extractor", "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/bohard~website-contact-extractor/run-sync": { "post": { "operationId": "run-sync-bohard-website-contact-extractor", "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": [ "startUrls" ], "properties": { "startUrls": { "title": "Websites to scan", "type": "array", "description": "List of websites (or company domains) to crawl for contact details. You can paste full URLs (https://example.com) or bare domains (example.com).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPagesPerDomain": { "title": "Max pages per website", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many pages to crawl on each website while looking for contacts. Contact / about pages are always prioritised. Lower = faster & cheaper.", "default": 10 }, "extractPhones": { "title": "Extract phone numbers", "type": "boolean", "description": "Also collect phone numbers (from tel: links and visible text).", "default": true }, "extractSocials": { "title": "Extract social media profiles", "type": "boolean", "description": "Also collect links to Facebook, Instagram, LinkedIn, X/Twitter, YouTube, TikTok and GitHub.", "default": true }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many pages to fetch in parallel. Keep this modest on small servers.", "default": 10 } } }, "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 } } } } } } } } } } ```