# Website Contact Extractor - Emails, Phones & Social Links (`santhej/website-contact-extractor`) Actor Bulk-extract contact details from any list of websites: email addresses, phone numbers, and social profiles (LinkedIn, X, Facebook, Instagram, YouTube). Crawls homepage + contact/about pages. Clean JSON/CSV for lead lists & enrichment. - **URL**: https://apify.com/santhej/website-contact-extractor.md - **Developed by:** [Santhej Kallada](https://apify.com/santhej) (community) - **Categories:** Lead generation, MCP servers, AI - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Website Contact Extractor — Emails, Phones & Social Links in Bulk **Feed it a list of websites, get back every contact. Extract email addresses, phone numbers, and social profiles (LinkedIn, X, Facebook, Instagram, YouTube, WhatsApp, GitHub, TikTok) from any list of domains — clean, structured, CRM-ready, with email verification.** Crawls the homepage plus contact/about/team/careers pages of each site so you catch the contact details that matter. Decodes obfuscated emails (`name [at] domain [dot] com`, HTML entities), labels role inboxes, and verifies deliverability. Perfect for enriching lead lists and building outreach databases. --- ### What you get per website - 📧 **Emails** — all addresses found (mailto + on-page + de-obfuscated). - ✅ **Email verification** — deliverability status, confidence score, disposable & role flags per email. - 🏷️ **Role labels** — auto-tags `info@`, `sales@`, `hr@`, `support@` and more. - 📞 **Phone numbers** — `tel:` links and visible numbers. - 🔗 **Social profiles** — LinkedIn, X/Twitter, Facebook, Instagram, YouTube, WhatsApp, GitHub, TikTok. - 📄 **Pages crawled** — transparency on what was checked. ### Perfect for - **Lead enrichment** — turn a list of domains into full contact records. - **Cold outreach** — build email + social outreach lists fast. - **CRM hygiene** — backfill missing contact data. - **Recruiting & partnerships** — find the right people to reach. - **AI agents** — feed structured contacts into automated workflows and MCP tools. ### How to use it 1. Paste your **website list** (domains or URLs). 2. Set **max pages per site** (homepage + contact/about). 3. Run it — export JSON/CSV or pull via the API. #### Example input ```json { "startUrls": ["https://apify.com", "stripe.com"], "maxPagesPerDomain": 3 } ```` #### Example output (one row per website) ```json { "domain": "example.com", "email_count": 2, "emails": ["hello@example.com", "sales@example.com"], "phones": ["+1 555-123-4567"], "socials": { "linkedin": "https://linkedin.com/company/example", "twitter": "https://x.com/example" }, "url": "https://example.com" } ``` ### Pricing Pay only for websites where we find contact details — no monthly fee, no minimum. ### FAQ **Does it crawl the whole site?** No — homepage plus up to a few contact/about pages, for speed and cost. **Some sites block datacenter IPs — can I use residential?** Yes — toggle residential proxy in the input. **Good for AI agents?** Yes — clean JSON, ideal for MCP servers, n8n, Make, and LLM agents. *** *Tags: contact extractor, email extractor, email scraper, phone scraper, lead generation, website crawler, social links, b2b leads, contact finder, lead enrichment.* # Actor input Schema ## `startUrls` (type: `array`): Websites to extract contacts from (domain or full URL). One per line. Up to 1,000 per run. ## `maxPagesPerDomain` (type: `integer`): How many pages to crawl per site (homepage + contact/about pages). 1–5. ## `useResidentialProxy` (type: `boolean`): Use residential IPs (slower/costlier, better for sites that block datacenter IPs). Off = datacenter proxy. ## `verifyEmails` (type: `boolean`): Validate each found email (deliverability status, confidence score, disposable/role flags). On by default. ## Actor input object example ```json { "startUrls": [ "https://apify.com", "stripe.com" ], "maxPagesPerDomain": 3, "useResidentialProxy": false, "verifyEmails": true } ``` # Actor output Schema ## `dataset` (type: `string`): Emails, phones and socials per website. ## `summary` (type: `string`): Sites processed and contacts found. # 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": [ "https://apify.com", "stripe.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("santhej/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": [ "https://apify.com", "stripe.com", ] } # Run the Actor and wait for it to finish run = client.actor("santhej/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": [ "https://apify.com", "stripe.com" ] }' | apify call santhej/website-contact-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=santhej/website-contact-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact Extractor - Emails, Phones & Social Links", "description": "Bulk-extract contact details from any list of websites: email addresses, phone numbers, and social profiles (LinkedIn, X, Facebook, Instagram, YouTube). Crawls homepage + contact/about pages. Clean JSON/CSV for lead lists & enrichment.", "version": "0.0", "x-build-id": "36xE3HbMfWuTghg90" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santhej~website-contact-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santhej-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/santhej~website-contact-extractor/runs": { "post": { "operationId": "runs-sync-santhej-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/santhej~website-contact-extractor/run-sync": { "post": { "operationId": "run-sync-santhej-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", "properties": { "startUrls": { "title": "Websites", "minItems": 1, "maxItems": 1000, "type": "array", "description": "Websites to extract contacts from (domain or full URL). One per line. Up to 1,000 per run.", "items": { "type": "string" } }, "maxPagesPerDomain": { "title": "Max pages per site", "minimum": 1, "maximum": 5, "type": "integer", "description": "How many pages to crawl per site (homepage + contact/about pages). 1–5.", "default": 3 }, "useResidentialProxy": { "title": "Use residential proxy", "type": "boolean", "description": "Use residential IPs (slower/costlier, better for sites that block datacenter IPs). Off = datacenter proxy.", "default": false }, "verifyEmails": { "title": "Verify emails", "type": "boolean", "description": "Validate each found email (deliverability status, confidence score, disposable/role flags). On by default.", "default": true } } }, "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 } } } } } } } } } } ```