# B2B Contact & Email Extractor (`tyegen/universal-b2b-contact-extractor`) Actor Extract emails, phone numbers, and social media profiles from any list of company websites. Designed for Lead Generation and Cold Emailing. - **URL**: https://apify.com/tyegen/universal-b2b-contact-extractor.md - **Developed by:** [Tan Yegen](https://apify.com/tyegen) (community) - **Categories:** Developer tools, Lead generation, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results 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 ## 🎯 Universal B2B Contact & Email Extractor ### 🤖 Copy to your AI assistant Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor. ```text tyegen/universal-b2b-contact-extractor on Apify. Call: ApifyClient("TOKEN").actor("tyegen/universal-b2b-contact-extractor").call(run_input={"startUrls": ["URL_HERE"]}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. ```` The ultimate, high-speed Lead Generation machine. Feed it a list of company website domains, and it will autonomously navigate their pages to return **Emails, Phone Numbers, and Social Media Profiles** (LinkedIn, Twitter, Instagram, Facebook, YouTube). ### 🚀 How It Works (The "Sniper" Approach) When building a B2B pipeline with thousands of domains, manually opening each website to find their `info@company.com` email or LinkedIn company page is soul-crushing. Traditional web scrapers try to solve this by crawling *every single page* on a website. That wastes massive amounts of time and Apify Compute Units, often getting blocked by firewalls in the process. **This actor acts like a Sniper:** 1. It visits the homepage and scans for immediate contact info. 2. It analyzes the site's navigation and *intelligently* clicks only on high-value targets like `/contact`, `/about-us`, `/our-team`, or `/iletisim`. 3. It applies advanced Regular Expressions (RegEx) to extract and validate emails and phone numbers. 4. It merges all discovered data from these pages into a **single, unified, and clean row per company**. #### ✨ Key Advantages - **Unmatched Speed:** Built on `CheerioCrawler` using raw HTTP requests. It can scan thousands of company websites in minutes, not hours. - **Smart Noise Filtering:** Automatically detects and ignores fake/system emails like `image@2x.png`, `sentry@...`, `wix@...`, or generic placeholder emails. - **Aggregated Single-Row Output:** It doesn't flood your database with duplicate rows for every page it visits. You get exactly *one* highly enriched row per domain. - **Resource Friendly:** By limiting scans to a maximum of 3-5 pages per domain, it keeps your compute costs near zero. ### 🎯 Who is this for? - **Sales & SDR Teams (Cold Emailing):** Build highly targeted, accurate outbound email lists from your prospect accounts. - **Growth Marketers:** Enrich your CRM platforms (Salesforce, HubSpot, Pipedrive) with missing company phone numbers and LinkedIn profiles. - **Recruiters & HR:** Find direct contact lines to agencies or targeted companies. - **Market Researchers:** Automatically gather competitor social media landscapes at scale. ### 💰 Pricing & ROI **Pay-Per-Result:** Only **$2.00 per 1,000 domains**. Considering the lifetime value (LTV) of a single B2B lead, extracting thousands of verified company contacts for just a few dollars is an incredible ROI for your outbound campaigns. *** ### 📥 Input Configuration | Field | Type | Description | | ----- | ---- | ----------- | | `startUrls` | Array | A list of company domains you want to scan (e.g., `https://stripe.com`, `https://apify.com`). | | `maxPagesPerDomain` | Integer | (Default: 3). How many pages to scan per company. 3 is usually the sweet spot to find the Contact/About pages without wasting time. | | `proxyConfiguration` | Object | Standard Apify Datacenter proxies are highly recommended to avoid basic IP bans. | *** ### 📤 Output Schema (Clean & Aggregated) For each company domain, you will receive exactly ONE object with aggregated data. | Field | Type | Description | | ----- | ---- | ----------- | | `domain` | String | The clean domain name (e.g., `apify.com`). | | `website` | String | The full URL of the scanned company. | | `emails` | Array | List of unique, validated email addresses found on the site. | | `phones` | Array | List of unique phone numbers found via `tel:` tags. | | `linkedin` | String | URL to the company's LinkedIn page. | | `twitter` | String | URL to the company's Twitter/X profile. | | `instagram` | String | URL to the company's Instagram profile. | | `facebook` | String | URL to the company's Facebook page. | | `youtube` | String | URL to the company's YouTube channel. | #### 💡 Output Example ```json { "domain": "apify.com", "website": "https://apify.com", "emails": [ "info@apify.com", "support@apify.com" ], "phones": [ "+1-800-555-0199" ], "linkedin": "https://www.linkedin.com/company/apifytech", "twitter": "https://twitter.com/apify", "instagram": "https://www.instagram.com/apifytech/", "facebook": "https://www.facebook.com/apifytech", "youtube": "https://www.youtube.com/c/Apify" } ``` # Actor input Schema ## `startUrls` (type: `array`): Add one or more company domains (e.g., https://apple.com). ## `maxPagesPerDomain` (type: `integer`): How many pages to scan per company? (Usually 3-5 is enough to find contact info). ## `proxyConfiguration` (type: `object`): Proxy settings. Datacenter proxies are highly recommended. ## Actor input object example ```json { "startUrls": [ { "url": "https://apify.com" } ], "maxPagesPerDomain": 3, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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" } ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("tyegen/universal-b2b-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": [{ "url": "https://apify.com" }], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("tyegen/universal-b2b-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": [ { "url": "https://apify.com" } ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call tyegen/universal-b2b-contact-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tyegen/universal-b2b-contact-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "B2B Contact & Email Extractor", "description": "Extract emails, phone numbers, and social media profiles from any list of company websites. Designed for Lead Generation and Cold Emailing.", "version": "1.0", "x-build-id": "U5aqu3edtnaZhlL6U" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tyegen~universal-b2b-contact-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tyegen-universal-b2b-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tyegen~universal-b2b-contact-extractor/runs": { "post": { "operationId": "runs-sync-tyegen-universal-b2b-contact-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tyegen~universal-b2b-contact-extractor/run-sync": { "post": { "operationId": "run-sync-tyegen-universal-b2b-contact-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Company URLs", "type": "array", "description": "Add one or more company domains (e.g., https://apple.com).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPagesPerDomain": { "title": "Max Pages to Scan Per Domain", "type": "integer", "description": "How many pages to scan per company? (Usually 3-5 is enough to find contact info).", "default": 3 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Datacenter proxies are highly recommended." } } }, "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 } } } } } } } } } } ```