# Contact Details Extractor (Emails, Phones, Socials) (`fetchcraft/contact-details-extractor`) Actor Give it website URLs. Crawls homepage plus about/contact/team pages and pulls every email, phone, social link (LinkedIn, X, Facebook, Instagram, YouTube), and address. Pure HTML parsing, no paid API. Pairs with AI Sales Personalizer. Free preview, $0.01 per site. - **URL**: https://apify.com/fetchcraft/contact-details-extractor.md - **Developed by:** [Emily Ward](https://apify.com/fetchcraft) (community) - **Categories:** Lead generation, Business, Automation - **Stats:** 3 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 ## Contact Details Extractor Give it website URLs. Get back every email, phone, social profile, and physical address found on the homepage and the about/contact/team subpages. Pure HTML parsing, no paid API keys. ### What it extracts - **Emails** from `mailto:` links and page text, with `[at]`/`[dot]` de-obfuscation and junk filtering (no `@sentry.io`, image filenames, placeholders) - **Phone numbers** from `tel:` links and visible text, length-validated (8 to 15 digits) - **Social profiles**: LinkedIn (company + personal), X/Twitter, Facebook, Instagram, YouTube - **Physical address** from JSON-LD `PostalAddress` structured data and street-pattern heuristics ### How it works For each site it fetches the homepage plus common subpages (`/about`, `/contact`, `/team`, `/company`) where contact details usually live, then harvests and de-duplicates everything. Set `scan_subpages` to false for homepage-only (faster, cheaper). ### Input ```json { "urls": ["https://www.basecamp.com", "zapier.com"], "scan_subpages": true, "max_subpages": 4, "preview_mode": false } ```` ### Output per site | Field | Meaning | | --- | --- | | `emails` | De-duplicated, junk-filtered list | | `phones` | Cleaned phone numbers | | `linkedin` / `twitter` / `facebook` / `instagram` / `youtube` | Profile URLs | | `addresses` | Physical addresses | | `pages_scanned` | How many pages were reachable | ### Pricing Free preview (first 3 sites). $0.01 per site after that. ### Pairs with - **Show HN / Greenhouse / ProductHunt scrapers** to source the sites - **Email Finder & Verifier** to resolve named contacts the page does not list - **AI Sales Personalizer** to write the opener ### Notes - Polite: short timeouts, standard browser User-Agent, one pass per page. - Only public pages, no login walls, no headless browser needed. - Respect each site's Terms of Service and applicable privacy law (GDPR, etc.) when using extracted contact data. # Actor input Schema ## `urls` (type: `array`): List of company website URLs. One result row per site. Bare domains or full URLs both work. ## `scan_subpages` (type: `boolean`): If true, also fetch common subpages (/about, /contact, /team, /company) where contact details usually live. If false, only the homepage is scanned (faster, cheaper, less complete). ## `max_subpages` (type: `integer`): Cap on how many subpages to fetch per site when scan\_subpages is on. ## `preview_mode` (type: `boolean`): Scan only the first 3 sites, free, so you can see output quality before paying. ## Actor input object example ```json { "urls": [ "https://www.basecamp.com", "https://zapier.com" ], "scan_subpages": true, "max_subpages": 4, "preview_mode": 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 = { "urls": [ "https://www.basecamp.com", "https://zapier.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("fetchcraft/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 = { "urls": [ "https://www.basecamp.com", "https://zapier.com", ] } # Run the Actor and wait for it to finish run = client.actor("fetchcraft/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 '{ "urls": [ "https://www.basecamp.com", "https://zapier.com" ] }' | apify call fetchcraft/contact-details-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fetchcraft/contact-details-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Contact Details Extractor (Emails, Phones, Socials)", "description": "Give it website URLs. Crawls homepage plus about/contact/team pages and pulls every email, phone, social link (LinkedIn, X, Facebook, Instagram, YouTube), and address. Pure HTML parsing, no paid API. Pairs with AI Sales Personalizer. Free preview, $0.01 per site.", "version": "0.1", "x-build-id": "ifiVeeQLEvM2I9Rgv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fetchcraft~contact-details-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fetchcraft-contact-details-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/fetchcraft~contact-details-extractor/runs": { "post": { "operationId": "runs-sync-fetchcraft-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/fetchcraft~contact-details-extractor/run-sync": { "post": { "operationId": "run-sync-fetchcraft-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": [ "urls" ], "properties": { "urls": { "title": "Website URLs", "type": "array", "description": "List of company website URLs. One result row per site. Bare domains or full URLs both work.", "items": { "type": "string" } }, "scan_subpages": { "title": "Scan about/contact/team subpages", "type": "boolean", "description": "If true, also fetch common subpages (/about, /contact, /team, /company) where contact details usually live. If false, only the homepage is scanned (faster, cheaper, less complete).", "default": true }, "max_subpages": { "title": "Max subpages per site", "minimum": 0, "maximum": 10, "type": "integer", "description": "Cap on how many subpages to fetch per site when scan_subpages is on.", "default": 4 }, "preview_mode": { "title": "Preview mode (free, first 3 sites)", "type": "boolean", "description": "Scan only the first 3 sites, free, so you can see output quality before paying.", "default": 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 } } } } } } } } } } ```