# Lead Finder:: Extract Emails from any website (`scraplib/lead-finder-extract-emails-from-any-website`) Actor Extract email addresses from any website. Whether you're scraping a single company website or automating bulk email collection across thousands of URLs, this actor ensures high accuracy and scalability. - **URL**: https://apify.com/scraplib/lead-finder-extract-emails-from-any-website.md - **Developed by:** [Scraplib](https://apify.com/scraplib) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 258 total users, 2 monthly users, 100.0% runs succeeded, 4 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $10.00 / 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 ## 📬 Extract Emails from Any Website | Apify Actor **Powerful Apify actor to extract email addresses from any website — including JavaScript-rendered pages.** Perfect for lead generation, contact discovery, outreach campaigns, and market research. Whether you're scraping a single company website or automating bulk email collection across thousands of URLs, this actor ensures high accuracy and scalability. --- ### 🧠 Use Cases - **B2B Lead Generation**: Build verified contact lists from target business websites. - **Marketing Automation**: Feed extracted emails directly into your outreach tools. - **Research & Intelligence**: Analyze industry presence and digital reach. - **Data Collection for SaaS**: Enrich internal tools or CRMs with verified contact info. - **SEO & Link Outreach**: Find emails of site owners and bloggers in your niche. --- ### 🚀 Key Features - ✅ **Smart Email Extraction**: Detects and validates email addresses using regex + domain context. - 🌐 **JavaScript Rendering**: Uses **Playwright** to handle modern, JS-heavy websites. - 🔍 **Contact Page Prioritization**: Scans internal pages and prioritizes "Contact", "About", and similar sections. - ⚡ **Concurrent Processing**: Scrape multiple sites in parallel with efficient resource management. - 🔒 **Reliable Error Handling**: Detailed logging for failed pages, timeouts, and redirects. --- ### Input Format The actor accepts a JSON object with the following structure: ```json { "urls": [ "https://example.com", "https://another-example.com" ] } ```` - **`urls`** (required): An array of website URLs to scrape. *** ### Output Format The actor produces an output dataset in the following format: ```json [ { "url": "https://example.com", "emails": ["info@example.com", "support@example.com"], "scanned_pages": [ "https://example.com", "https://example.com/contact" ], "status": "success", "error": null }, { "url": "https://another-example.com", "emails": [], "scanned_pages": ["https://another-example.com"], "status": "error", "error": "Timeout while fetching the URL" } ] ``` - **`url`**: The processed website URL. - **`emails`**: List of extracted email addresses. - **`scanned_pages`**: Pages scanned during the process. - **`status`**: `"success"` or `"error"`. - **`error`**: Details of any encountered error (if applicable). *** ### Example Use Cases #### 1. Extract Emails from Multiple Websites Provide a list of URLs in the input JSON, and the actor will output all the emails it finds. #### 2. Scan Contact Pages for Specific Emails The actor prioritizes scanning **Contact Us** or **About Us** pages for higher relevance. #### 3. Automate Email Extraction for Marketing Integrate this actor into your automation pipeline to gather contact leads regularly. *** Happy Scraping! 😊 ### Keywords **Email Extractor**, **Web Scraper**, **Lead Generation Tool**, **Apify Actor**, **Playwright Email Extraction**, **Contact Page Scanner**, **JavaScript Rendering Scraper**, **Bulk Email Scraping**. Email scraper, website email extractor, Apify email actor, lead generation tool, Playwright email scraper, extract emails from websites, JavaScript-rendered email scraping, B2B email extractor, bulk website email extraction, contact page email scraper. *** # Actor input Schema ## `urls` (type: `array`): List of website URLs to extract emails from. Can be a single URL or multiple URLs. ## Actor input object example ```json { "urls": [ "https://www.newtondentalassociates.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 = { "urls": [ "https://www.newtondentalassociates.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scraplib/lead-finder-extract-emails-from-any-website").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.newtondentalassociates.com"] } # Run the Actor and wait for it to finish run = client.actor("scraplib/lead-finder-extract-emails-from-any-website").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.newtondentalassociates.com" ] }' | apify call scraplib/lead-finder-extract-emails-from-any-website --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraplib/lead-finder-extract-emails-from-any-website", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Lead Finder:: Extract Emails from any website", "description": "Extract email addresses from any website. Whether you're scraping a single company website or automating bulk email collection across thousands of URLs, this actor ensures high accuracy and scalability.", "version": "0.0", "x-build-id": "aKsJfkIYeyFHTN8Gd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraplib~lead-finder-extract-emails-from-any-website/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraplib-lead-finder-extract-emails-from-any-website", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraplib~lead-finder-extract-emails-from-any-website/runs": { "post": { "operationId": "runs-sync-scraplib-lead-finder-extract-emails-from-any-website", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraplib~lead-finder-extract-emails-from-any-website/run-sync": { "post": { "operationId": "run-sync-scraplib-lead-finder-extract-emails-from-any-website", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "URLs to scrape", "type": "array", "description": "List of website URLs to extract emails from. Can be a single URL or multiple URLs.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```