# Contact Details Extractor — Emails, Phones & Socials (`hereditary_model/contact-details-extractor`) Actor Give it a list of company websites and get back emails, phone numbers, and social media profiles found on their public pages. Pay per website processed. - **URL**: https://apify.com/hereditary\_model/contact-details-extractor.md - **Developed by:** [Aaron Marxsen](https://apify.com/hereditary_model) (community) - **Categories:** Lead generation, Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## Email and Social Media Extractor from Websites Turn a list of company websites into a clean contact list. This actor visits each website, automatically finds the pages where contact information lives (contact, about, team, imprint), and extracts publicly listed email addresses, phone numbers, and social media profiles. You get one clean lead record per website, ready for your CRM or outreach campaign. Built for sales teams, lead generation agencies, and recruiters who need verified contact data from company sites at scale. ### Features - Extract emails from any list of company websites - Find phone numbers and social media profiles per company - Automatically discover contact, about, team, and imprint pages - Get LinkedIn, Facebook, Instagram, X, YouTube, and TikTok profiles - One aggregated lead record per website, not per page - Pay per website processed, no subscription ### Use cases - Enrich a list of company domains with emails and social profiles - Build outreach lists for cold email and social selling - Fill missing contact fields in your CRM - Qualify inbound leads by checking their public footprint - Feed an AI sales agent verified contact data ### Input | Field | Type | Description | | --- | --- | --- | | `startUrls` | array (required) | Company website URLs (one record per website) | | `maxPagesPerSite` | integer (default 5) | Pages to scan per site | | `proxyConfiguration` | object (optional) | Proxy settings | ```json { "startUrls": [{ "url": "https://apify.com" }], "maxPagesPerSite": 5 } ```` ### Output One record per website: ```json { "website": "https://apify.com", "emails": ["hello@apify.com"], "phones": [], "socials": { "linkedin": "https://linkedin.com/company/apify", "twitter": "https://x.com/apify" }, "pagesScanned": ["https://apify.com/", "https://apify.com/contact"] } ``` ### Pricing: worked example Pay per event. You are charged `website-processed` at $0.02 for each website processed. Processing 100 company websites triggers 100 events at $0.02 each. Total: $2.00. ### How to use 1. Open the actor and click Try for free. 2. Paste the list of company website URLs you want contacts for. 3. Optionally raise `maxPagesPerSite` to scan deeper for hard to find contacts. 4. Click Start. 5. Download the results as CSV or JSON from the Storage tab. 6. Import straight into your CRM, or automate delivery with Apify integrations (Google Sheets, HubSpot, Zapier, Make). ### FAQ **How do I extract emails from a list of websites?** Paste your company URLs and the actor scans each site's contact and about pages, returning the emails, phones, and socials it finds. **Does it find social media profiles?** Yes. It detects LinkedIn, Facebook, Instagram, X, YouTube, and TikTok links on the homepage. **How many pages does it check per site?** By default five, prioritizing contact, about, team, and imprint pages. You can raise the limit. **Is the data compliant to use?** It collects only contact details that companies publish on their own public pages. You are responsible for using the data in line with GDPR, CAN-SPAM, and the target sites' terms. **Can an AI agent run this?** Yes. It supports agentic payments, so a sales agent can call it and pay per website. ### API and agents Run it from the [Apify API](https://docs.apify.com/api/v2) or let an AI agent call it. Supports agentic payments via x402 and Skyfire (pay per event, limited permissions, no Standby). ```bash curl -X POST "https://api.apify.com/v2/acts/hereditary_model~contact-details-extractor/runs?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "startUrls": [{ "url": "https://example.com" }] }' ``` ### Related actors - [Domain Intelligence API](https://apify.com/hereditary_model/domain-intelligence) - [ATS Job Postings Scraper](https://apify.com/hereditary_model/ats-job-postings-scraper) - [NPI Healthcare Provider Directory](https://apify.com/hereditary_model/healthcare-provider-directory) - [Website to Markdown for RAG and LLMs](https://apify.com/hereditary_model/website-to-markdown) - [Local SEO Audit](https://apify.com/hereditary_model/local-seo-audit) - [Broken Link Checker](https://apify.com/hereditary_model/broken-link-checker) - [Bandcamp Discography Scraper](https://apify.com/hereditary_model/bandcamp-discography-scraper) # Actor input Schema ## `startUrls` (type: `array`): Company website URLs to extract contact details from (one result per website). ## `maxPagesPerSite` (type: `integer`): How many pages to scan per website. The extractor prioritizes contact, about, team, and imprint pages. ## `proxyConfiguration` (type: `object`): Proxy settings used for crawling. Defaults to no proxy. ## Actor input object example ```json { "startUrls": [ { "url": "https://apify.com" } ], "maxPagesPerSite": 5 } ``` # 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("hereditary_model/contact-details-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("hereditary_model/contact-details-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 hereditary_model/contact-details-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hereditary_model/contact-details-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Contact Details Extractor — Emails, Phones & Socials", "description": "Give it a list of company websites and get back emails, phone numbers, and social media profiles found on their public pages. Pay per website processed.", "version": "0.1", "x-build-id": "MyikutC6jngmcWnfQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hereditary_model~contact-details-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hereditary_model-contact-details-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hereditary_model~contact-details-extractor/runs": { "post": { "operationId": "runs-sync-hereditary_model-contact-details-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hereditary_model~contact-details-extractor/run-sync": { "post": { "operationId": "run-sync-hereditary_model-contact-details-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Website URLs", "type": "array", "description": "Company website URLs to extract contact details from (one result per website).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPagesPerSite": { "title": "Max pages per website", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many pages to scan per website. The extractor prioritizes contact, about, team, and imprint pages.", "default": 5 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings used for crawling. Defaults to no proxy." } } }, "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 } } } } } } } } } } ```