# Domain Email Extractor — Find Email Addresses on Any Website (`yourwingman/domain-email-extractor`) Actor Extract email addresses from websites by crawling pages, scanning mailto links, and detecting contact patterns. Input domains or full URLs, output structured contact data for lead generation and B2B sales. - **URL**: https://apify.com/yourwingman/domain-email-extractor.md - **Developed by:** [Wingman](https://apify.com/yourwingman) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event + usage 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 ## Actor: Domain Email Extractor Extract email addresses from any website. Crawls pages, scans mailto links, and detects contact patterns to build your lead lists. ### Features - **Bulk domain processing**: Process hundreds of domains in one run - **Smart crawling**: Automatically finds contact pages, about pages, and team pages - **mailto: link extraction**: Captures emails from contact links - **Regex pattern matching**: Finds email addresses in page content - **Obfuscation detection**: Decodes common email obfuscation techniques - **Same-domain control**: Option to stay on domain to reduce noise - **Exclude patterns**: Skip blog posts, privacy pages, etc. - **Apify Dataset output**: Structured data ready for CRM import ### Use Cases - Sales lead generation - B2B contact list building - Recruiting candidate outreach - Competitor research - Partnership identification ### Input ```json { "domains": ["company.com", "startup.io/team"], "maxPagesPerDomain": 10, "sameDomainOnly": true, "includeMailtoLinks": true, "excludePatterns": ["/blog/", "/privacy", "/terms"] } ```` ### Output ```json { "domain": "company.com", "email": "contact@company.com", "sourceUrl": "https://company.com/contact", "pageTitle": "Contact Us", "foundOnPage": "contact@company.com", "discoveryMethod": "page_text" } ``` ### Changelog #### v1.0.0 (2026-07-09) - Initial release - Domain/URL-based email extraction - Multi-page crawling with smart prioritization - mailto: link extraction - Email obfuscation detection - Exclude pattern support - Apify Dataset output # Actor input Schema ## `domains` (type: `array`): List of domains or full URLs to extract emails from. Accepts formats: 'example.com', 'https://example.com', 'https://example.com/contact'. ## `maxPagesPerDomain` (type: `integer`): Maximum number of pages to crawl per domain. Higher values find more emails but cost more compute credits. ## `sameDomainOnly` (type: `boolean`): Only crawl pages on the same domain (don't follow external links). Reduces noise and cost. ## `includeMailtoLinks` (type: `boolean`): Extract email addresses from mailto: links in addition to scanning page text. ## `excludePatterns` (type: `array`): URL patterns to exclude (e.g., '/blog/', '/privacy'). Regex supported. ## `outputIndividualEmails` (type: `boolean`): If true, each email is a separate dataset entry with its source page. If false, emails are grouped by domain. ## `proxy` (type: `object`): Proxy settings. ## Actor input object example ```json { "domains": [ "example.com", "anotherexample.org" ], "maxPagesPerDomain": 10, "sameDomainOnly": true, "includeMailtoLinks": true, "excludePatterns": [ "/blog/", "/privacy", "/terms" ], "outputIndividualEmails": true, "proxy": { "useApifyProxy": true } } ``` # Actor output Schema ## `domain` (type: `string`): The domain where the email was found ## `email` (type: `string`): Discovered email address (individual mode) ## `sourceUrl` (type: `string`): The webpage URL where the email was found ## `pageTitle` (type: `string`): Title of the page containing the email ## `foundOnPage` (type: `string`): The matched email text as it appeared on the page ## `discoveryMethod` (type: `string`): How the email was found: page\_text or mailto\_link ## `emails` (type: `string`): Comma-separated list of unique emails (grouped mode) ## `emailCount` (type: `string`): Number of unique emails found (grouped mode) # 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 = { "domains": [ "example.com", "anotherexample.org" ], "excludePatterns": [ "/blog/", "/privacy", "/terms" ] }; // Run the Actor and wait for it to finish const run = await client.actor("yourwingman/domain-email-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 = { "domains": [ "example.com", "anotherexample.org", ], "excludePatterns": [ "/blog/", "/privacy", "/terms", ], } # Run the Actor and wait for it to finish run = client.actor("yourwingman/domain-email-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 '{ "domains": [ "example.com", "anotherexample.org" ], "excludePatterns": [ "/blog/", "/privacy", "/terms" ] }' | apify call yourwingman/domain-email-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=yourwingman/domain-email-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Domain Email Extractor — Find Email Addresses on Any Website", "description": "Extract email addresses from websites by crawling pages, scanning mailto links, and detecting contact patterns. Input domains or full URLs, output structured contact data for lead generation and B2B sales.", "version": "1.0", "x-build-id": "XS6iuqPE7Aeq74YgF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/yourwingman~domain-email-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-yourwingman-domain-email-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/yourwingman~domain-email-extractor/runs": { "post": { "operationId": "runs-sync-yourwingman-domain-email-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/yourwingman~domain-email-extractor/run-sync": { "post": { "operationId": "run-sync-yourwingman-domain-email-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": [ "domains" ], "properties": { "domains": { "title": "Websites / Domains", "type": "array", "description": "List of domains or full URLs to extract emails from. Accepts formats: 'example.com', 'https://example.com', 'https://example.com/contact'.", "items": { "type": "string", "maxLength": 500 } }, "maxPagesPerDomain": { "title": "Max Pages Per Domain", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of pages to crawl per domain. Higher values find more emails but cost more compute credits.", "default": 10 }, "sameDomainOnly": { "title": "Stay on Same Domain", "type": "boolean", "description": "Only crawl pages on the same domain (don't follow external links). Reduces noise and cost.", "default": true }, "includeMailtoLinks": { "title": "Include mailto: Links", "type": "boolean", "description": "Extract email addresses from mailto: links in addition to scanning page text.", "default": true }, "excludePatterns": { "title": "Exclude Patterns", "type": "array", "description": "URL patterns to exclude (e.g., '/blog/', '/privacy'). Regex supported.", "items": { "type": "string", "maxLength": 200 } }, "outputIndividualEmails": { "title": "Output Individual Emails", "type": "boolean", "description": "If true, each email is a separate dataset entry with its source page. If false, emails are grouped by domain.", "default": true }, "proxy": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings.", "properties": { "useApifyProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Use Apify proxy to avoid IP blocks and improve success rate.", "default": true }, "proxyGroups": { "title": "Proxy Groups", "type": "array", "description": "Apify proxy groups to use. Leave empty for automatic selection.", "editor": "stringList", "items": { "type": "string" } } }, "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```