# Contact Finder (`moorish-dev/contact-finder`) Actor Crawls websites to extract emails, phone numbers, and social links (LinkedIn, Instagram, Facebook). Lightweight, fast Cheerio-based crawler optimized to minimize compute costs while utilizing advanced filters to eliminate false-positive phones, IP addresses, and trap emails. - **URL**: https://apify.com/moorish-dev/contact-finder.md - **Developed by:** [Ziad Tarik](https://apify.com/moorish-dev) (community) - **Categories:** Lead generation, Automation, AI - **Stats:** 7 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 result extracteds 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Finder Extract emails, phone numbers, and social media links (LinkedIn, Instagram, Facebook) from any website at scale. Built on top of Crawlee's CheerioCrawler, this scraper is highly optimized for speed and cost-efficiency. It utilizes lightweight HTTP crawling instead of expensive headless browsers to minimize your run costs while maintaining high extraction accuracy. ### What does this scraper do? This Apify actor takes a list of website URLs, visits their homepages, and automatically crawls key subpages (such as `/contact`, `/contact-us`, `/about`, `/about-us`) to extract contact details. The data is normalized, filtered, and returned in a clean JSON format. ### Why use this scraper? - **Speed & Cost-Efficiency:** Bypasses heavy browser automation (Playwright/Puppeteer) to scan pages in milliseconds with minimal Compute Unit usage. - **Smart Email Cleaning:** Automatically filters out common false-positive emails (e.g., image assets, tracking pixels, Wix defaults). - **Phone Number Validation:** Uses specialized validation logic to filter out false-positives like IP addresses, dates, coordinates, and SIREN/SIRET French registration numbers. - **Social Extraction:** Automatically identifies links to LinkedIn company pages, Instagram, and Facebook. - **Automation Ready:** Designed to consume inputs directly from our Google Maps Scraper and feeds seamlessly into Make.com, n8n, or Relay.app workflows. ### Pricing We believe in 100% transparent pricing. You only pay for what you extract: - **$0.0015 per domain** analyzed. - Analyzing 1,000 domains costs exactly $1.50. ### Input Options | Field | Type | Description | |---|---|---| | `startUrls` | array | List of website URLs to scrape. | #### Input Example ```json { "startUrls": [ { "url": "https://apify.com" } ] } ```` ### Output Data The scraper stores results in your Apify dataset. Each domain is stored as a separate item with the following key fields: | Field | Type | Description | |---|---|---| | `domain` | string | Hostname/domain of the crawled website. | | `emails` | array | List of unique extracted and normalized email addresses. | | `phones` | array | List of validated phone numbers. | | `socials` | array | List of social media profile links (LinkedIn, Instagram, Facebook). | #### Output Example ```json { "domain": "apify.com", "emails": [ "support@apify.com", "sales@apify.com" ], "phones": [ "+1 (234) 567-8901" ], "socials": [ "https://www.linkedin.com/company/apify", "https://www.instagram.com/apifytech", "https://facebook.com/apifytech" ] } ``` ### Integrations This scraper connects with almost any cloud service or web app via integrations on the Apify platform. You can seamlessly route your scraped data to: - **Make & Zapier** — Automate workflows and connect to 5,000+ apps. - **Google Sheets** — Export results directly to a live spreadsheet. - **Slack** — Get notifications when scraping completes. - **Webhooks** — Send results to any custom HTTP endpoint or CRM. ### Notes & Limitations - **Cheerio Limitation:** This scraper parses static HTML. Heavy Single Page Applications (SPAs) or Cloudflare-shielded domains may not yield contact information through cheerio. This is an intentional design choice to prioritize low cost and speed over heavy browser automation. - Respect website terms of service and data protection laws in your jurisdiction. # Actor input Schema ## `startUrls` (type: `array`): List of URLs to scrape. ## Actor input object example ```json { "startUrls": [ { "url": "https://apify.com" } ] } ``` # 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("moorish-dev/contact-finder").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("moorish-dev/contact-finder").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 moorish-dev/contact-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moorish-dev/contact-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Contact Finder", "description": "Crawls websites to extract emails, phone numbers, and social links (LinkedIn, Instagram, Facebook). Lightweight, fast Cheerio-based crawler optimized to minimize compute costs while utilizing advanced filters to eliminate false-positive phones, IP addresses, and trap emails.", "version": "1.0", "x-build-id": "0DoN4EPyi4IkgGSsV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moorish-dev~contact-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moorish-dev-contact-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moorish-dev~contact-finder/runs": { "post": { "operationId": "runs-sync-moorish-dev-contact-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moorish-dev~contact-finder/run-sync": { "post": { "operationId": "run-sync-moorish-dev-contact-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Start URLs", "type": "array", "description": "List of URLs to scrape.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```