# Website Email & Phone Scraper — Contact Finder (`intelscrape/contact-info-scraper`) Actor Extract emails, phones, social links from any website. Deep scans contact pages. Detects tech stack and ad pixels. CSV export. - **URL**: https://apify.com/intelscrape/contact-info-scraper.md - **Developed by:** [IntelScrape](https://apify.com/intelscrape) (community) - **Categories:** Lead generation, SEO tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results 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 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 Info Scraper — Email, Phone & Social Finder **Give us any list of websites. We'll extract every email, phone number, and social media link.** Stop manually searching for contact info. Paste your URLs → get a clean spreadsheet with emails, phone numbers, Facebook, Instagram, LinkedIn, and tech stack data in minutes. --- ### ⚡ Two Ways to Use #### 1. Paste URLs (Direct Mode) Already have a list of websites? Paste them in and we'll scrape each one. #### 2. Search Google Maps (Discovery Mode) Don't have URLs? Search Google Maps — "restaurants in Austin TX" — and we'll find the businesses, grab their websites, and scrape them all for contact info. --- ### 📊 What You Get Per Website | Data Point | Example | |-----------|---------| | **📧 Emails** | info@aceplumbing.com, sales@aceplumbing.com | | **📞 Phones** | (305) 555-0123, (305) 555-0456 | | **📱 Facebook** | facebook.com/aceplumbing | | **📷 Instagram** | instagram.com/aceplumbing | | **💼 LinkedIn** | linkedin.com/company/aceplumbing | | **🐦 Twitter/X** | x.com/aceplumbing | | **📺 YouTube** | youtube.com/aceplumbing | | **🎵 TikTok** | tiktok.com/@aceplumbing | | **💻 Tech Stack** | WordPress, WooCommerce, React | | **📊 Tracking** | Facebook Pixel, Google Analytics, Hotjar | | **🏢 Business Name** | Auto-detected from Schema.org or meta tags | --- ### 🔎 Deep Contact Page Scanning Most scrapers only check the homepage. **We follow up to 3 sub-pages per site:** - `/contact` - `/about` - `/team` - `/get-in-touch` - `/our-team` - `/leadership` This finds **30-50% more emails** than homepage-only scrapers. --- ### 💻 Tech Stack Detection (Bonus) Know which CMS and frameworks each website uses: | Platform | Detection | |----------|-----------| | WordPress | ✅ | | Shopify | ✅ | | Squarespace | ✅ | | Wix | ✅ | | Webflow | ✅ | | GoDaddy | ✅ | | Next.js | ✅ | | React | ✅ | | WooCommerce | ✅ | | BigCommerce | ✅ | | HubSpot | ✅ | **Perfect for web design agencies** — find businesses using outdated CMS platforms and pitch them a redesign. --- ### 📊 Tracking Pixel Detection Identify which ad platforms each business uses: - **Facebook Pixel** (with Pixel ID) - **Google Analytics** (with GA ID) - **Google Tag Manager** (with GTM ID) - **TikTok Pixel** - **LinkedIn Insight Tag** - **Hotjar** **Perfect for ad agencies** — find businesses already running paid ads and pitch management services. --- ### 💡 Who Uses This | You Are | What You Do | Why It Works | |---------|-------------|-------------| | **Marketing Agency** | Scrape competitor client lists | Find emails for every business on a list | | **Web Design Agency** | Find WordPress/Wix sites | Pitch redesigns to businesses using old tech | | **Ad Agency** | Find businesses with FB Pixel | Pitch ad management to active advertisers | | **Sales Team** | Build outreach lists | Get email + phone for cold outreach | | **Recruiter** | Scrape company career pages | Find hiring manager contact info | | **Data Provider** | Enrich lead databases | Add emails and social links to existing data | --- ### 🚀 Quick Start 1. **Paste your URLs** or search Google Maps 2. **Toggle what you need** — emails, phones, social, tech stack, pixels 3. **Click Start** → Takes 1-3 minutes per 100 websites 4. **Export** → Download CSV, JSON, or Excel --- ### 💰 Pricing | Item | Price | |------|-------| | Per website scraped | $0.005 | | **Per email found** | **$0.04** | | **Tech stack detected** | **$0.02** | | Actor start | $0.005 | **Example: 100 websites, 65 emails, 80 tech stacks = ~$4.70** Compare to: - Hunter.io: $0.03-0.10 per email - Snov.io: $0.05+ per email - Clearbit: $0.15+ per contact --- ### ⚙️ Features - **📧 Email extraction** — mailto links, Schema.org, pattern matching - **📞 Phone numbers** — tel: links, US/international formats - **📱 Social media** — Facebook, Instagram, LinkedIn, Twitter, YouTube, TikTok, Pinterest, Yelp - **💻 Tech stack** — CMS, frameworks, e-commerce platforms - **📊 Tracking pixels** — Facebook, Google, TikTok, LinkedIn, Hotjar - **🏢 Business name** — Auto-detected from Schema.org, JSON-LD, meta tags - **🔎 Deep scan** — Follows contact/about/team pages - **🔗 Webhook** — Auto-send to Zapier, Make.com, or your CRM - **📊 Clean output** — CSV, JSON, Excel --- ### 💬 Support Open an **Issue** on this actor page — we respond within 24 hours. Built by [IntelScrape](https://apify.com/intelscrape) 🧠 # Actor input Schema ## `urls` (type: `array`): Paste website URLs to scrape. We'll visit each one and extract every email, phone number, and social media link. You can paste full URLs (https://example.com) or just domains (example.com) — we'll handle both. ## `searchQueries` (type: `array`): Search Google Maps to discover businesses and their websites. Try: 'plumbers in Miami FL', 'dentists in Brooklyn NY', 'restaurants in Austin TX'. We'll find every matching business, grab their website URL, and scrape it for emails. ## `maxResults` (type: `integer`): Maximum number of websites to process. Start with 10-20 to test, then scale up. Each website costs ~$0.005 base + $0.04 per email found. ## `scrapeContactPages` (type: `boolean`): Follow links to /contact, /about, /team, and /get-in-touch pages to find hidden email addresses. This finds 30-50% more emails but takes slightly longer. Recommended ON. ## `includePhones` (type: `boolean`): Extract US and international phone numbers from each website. Finds tel: links and phone patterns in the page text. ## `includeSocial` (type: `boolean`): Find links to Facebook, Instagram, LinkedIn, Twitter/X, YouTube, TikTok, Pinterest, and Yelp profiles. ## `includeTechStack` (type: `boolean`): Identify the website's CMS and framework: WordPress, Shopify, Wix, Squarespace, Webflow, Next.js, React, WooCommerce, BigCommerce, HubSpot, and more. Perfect for web design agencies prospecting outdated sites. ## `includePixels` (type: `boolean`): Find Facebook Pixel (with ID), Google Analytics (with GA/GTM ID), TikTok Pixel, LinkedIn Insight Tag, and Hotjar. Great for ad agencies to identify businesses already running paid ads. ## `maxContactPages` (type: `integer`): How many internal pages to crawl per website (e.g. /contact, /about, /team). Higher = more emails found, but slower. 3 is the sweet spot. ## `concurrency` (type: `integer`): How many websites to scrape at the same time. Higher = faster but uses more memory. 10 is a good default. ## `webhookUrl` (type: `string`): Automatically POST all results as JSON to this URL when the run finishes. Works with Zapier, Make.com, n8n, or your own API endpoint. ## Actor input object example ```json { "urls": [ "https://www.apify.com" ], "searchQueries": [ "plumbers in Miami FL" ], "maxResults": 50, "scrapeContactPages": true, "includePhones": true, "includeSocial": true, "includeTechStack": true, "includePixels": false, "maxContactPages": 3, "concurrency": 10 } ```` # Actor output Schema ## `website` (type: `string`): The scraped website URL ## `domain` (type: `string`): Domain name ## `businessName` (type: `string`): Business name from Schema.org or meta tags ## `emails` (type: `string`): All verified email addresses found ## `phones` (type: `string`): Phone numbers found on the website ## `socialLinks` (type: `string`): Social media profile URLs ## `techStack` (type: `string`): Detected CMS and frameworks ## `trackingPixels` (type: `string`): Ad tracking pixels detected ## `emailCount` (type: `string`): Number of emails found ## `phoneCount` (type: `string`): Number of phones 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 = { "urls": [ "https://www.apify.com" ], "searchQueries": [ "plumbers in Miami FL" ] }; // Run the Actor and wait for it to finish const run = await client.actor("intelscrape/contact-info-scraper").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.apify.com"], "searchQueries": ["plumbers in Miami FL"], } # Run the Actor and wait for it to finish run = client.actor("intelscrape/contact-info-scraper").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.apify.com" ], "searchQueries": [ "plumbers in Miami FL" ] }' | apify call intelscrape/contact-info-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=intelscrape/contact-info-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Email & Phone Scraper — Contact Finder", "description": "Extract emails, phones, social links from any website. Deep scans contact pages. Detects tech stack and ad pixels. CSV export.", "version": "1.0", "x-build-id": "dj4GvJ27ZjdBTaUj0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/intelscrape~contact-info-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-intelscrape-contact-info-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/intelscrape~contact-info-scraper/runs": { "post": { "operationId": "runs-sync-intelscrape-contact-info-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/intelscrape~contact-info-scraper/run-sync": { "post": { "operationId": "run-sync-intelscrape-contact-info-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "🌐 Website URLs", "type": "array", "description": "Paste website URLs to scrape. We'll visit each one and extract every email, phone number, and social media link. You can paste full URLs (https://example.com) or just domains (example.com) — we'll handle both.", "items": { "type": "string" } }, "searchQueries": { "title": "🔍 Google Maps Search Queries", "type": "array", "description": "Search Google Maps to discover businesses and their websites. Try: 'plumbers in Miami FL', 'dentists in Brooklyn NY', 'restaurants in Austin TX'. We'll find every matching business, grab their website URL, and scrape it for emails.", "items": { "type": "string" } }, "maxResults": { "title": "🔢 Max Websites to Scrape", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of websites to process. Start with 10-20 to test, then scale up. Each website costs ~$0.005 base + $0.04 per email found.", "default": 50 }, "scrapeContactPages": { "title": "🔎 Deep Scan Contact Pages", "type": "boolean", "description": "Follow links to /contact, /about, /team, and /get-in-touch pages to find hidden email addresses. This finds 30-50% more emails but takes slightly longer. Recommended ON.", "default": true }, "includePhones": { "title": "📞 Extract Phone Numbers", "type": "boolean", "description": "Extract US and international phone numbers from each website. Finds tel: links and phone patterns in the page text.", "default": true }, "includeSocial": { "title": "📱 Extract Social Media Links", "type": "boolean", "description": "Find links to Facebook, Instagram, LinkedIn, Twitter/X, YouTube, TikTok, Pinterest, and Yelp profiles.", "default": true }, "includeTechStack": { "title": "💻 Detect Tech Stack", "type": "boolean", "description": "Identify the website's CMS and framework: WordPress, Shopify, Wix, Squarespace, Webflow, Next.js, React, WooCommerce, BigCommerce, HubSpot, and more. Perfect for web design agencies prospecting outdated sites.", "default": true }, "includePixels": { "title": "📊 Detect Ad Tracking Pixels", "type": "boolean", "description": "Find Facebook Pixel (with ID), Google Analytics (with GA/GTM ID), TikTok Pixel, LinkedIn Insight Tag, and Hotjar. Great for ad agencies to identify businesses already running paid ads.", "default": false }, "maxContactPages": { "title": "Max Sub-Pages Per Website", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many internal pages to crawl per website (e.g. /contact, /about, /team). Higher = more emails found, but slower. 3 is the sweet spot.", "default": 3 }, "concurrency": { "title": "Parallel Scraping", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many websites to scrape at the same time. Higher = faster but uses more memory. 10 is a good default.", "default": 10 }, "webhookUrl": { "title": "🔗 Webhook URL", "type": "string", "description": "Automatically POST all results as JSON to this URL when the run finishes. Works with Zapier, Make.com, n8n, or your own API endpoint." } } }, "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 } } } } } } } } } } ```