# Website Contact & Email Extractor (`technicaldost/website-contact-extractor`) Actor Extract contact details from websites in bulk: emails, phone numbers and social profiles, plus the contact page. Turn a list of domains into a lead list. - **URL**: https://apify.com/technicaldost/website-contact-extractor.md - **Developed by:** [Technical Dost Solutions](https://apify.com/technicaldost) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## Website Contact & Email Extractor Turn a list of websites into structured lead-generation data. This Actor scans each homepage and, optionally, likely contact, about, team, support, or impressum pages on the same domain. It extracts public email addresses, phone numbers, and major social profiles without paid APIs, API keys, or proxies. ### Input | Field | Type | Required | Default | Description | | --- | --- | --- | --- | --- | | `urls` | array of strings | Yes | Stripe and Basecamp samples | Website URLs or bare domains. Bare domains are normalized to `https://`. | | `crawlContactPage` | boolean | No | `true` | Also scan likely contact and company-information pages. | | `maxPagesPerSite` | integer | No | `3` | Maximum pages per website, from 1 to 5 including the homepage. | Example input: ```json { "urls": [ "https://stripe.com", "basecamp.com" ], "crawlContactPage": true, "maxPagesPerSite": 3 } ```` ### Output Each input website produces one dataset row: - `url`: normalized input URL - `finalUrl`: final homepage URL after redirects, or `null` when unavailable - `title`: homepage HTML title - `emails`: unique public email addresses found across scanned pages - `phones`: unique phone numbers with at least seven digits - `socials`: the first LinkedIn, Twitter/X, Facebook, Instagram, YouTube, and TikTok profile links found - `contactPageUrl`: first matching same-domain contact-style page, or `null` - `pagesScanned`: number of pages fetched and scanned successfully - `fetchedOk`: whether the homepage was fetched successfully Example output: ```json { "url": "https://example.org/", "finalUrl": "https://www.example.org/", "title": "Example Company", "emails": ["hello@example.org"], "phones": ["+1 415 555 0100"], "socials": { "linkedin": "https://www.linkedin.com/company/example" }, "contactPageUrl": "https://www.example.org/contact", "pagesScanned": 2, "fetchedOk": true } ``` ### How it works Requests use a browser-like user agent, a 12-second timeout, redirect following, and two retries with backoff. Up to five websites are processed concurrently. A failure on one website still produces a row with `fetchedOk: false` and does not stop the rest of the run. Only public website pages are read. Review each website's terms and applicable privacy and outreach laws before using extracted contact data. # Actor input Schema ## `urls` (type: `array`): Website URLs or bare domains to scan. Add one website per line. ## `crawlContactPage` (type: `boolean`): Also scan likely contact, about, team, support, and impressum pages on the same domain. ## `maxPagesPerSite` (type: `integer`): Maximum number of pages to scan for each website, including its homepage. ## Actor input object example ```json { "urls": [ "https://stripe.com", "https://basecamp.com" ], "crawlContactPage": true, "maxPagesPerSite": 3 } ``` # 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://stripe.com", "https://basecamp.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("technicaldost/website-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 = { "urls": [ "https://stripe.com", "https://basecamp.com", ] } # Run the Actor and wait for it to finish run = client.actor("technicaldost/website-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 '{ "urls": [ "https://stripe.com", "https://basecamp.com" ] }' | apify call technicaldost/website-contact-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=technicaldost/website-contact-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact & Email Extractor", "description": "Extract contact details from websites in bulk: emails, phone numbers and social profiles, plus the contact page. Turn a list of domains into a lead list.", "version": "0.1", "x-build-id": "fezJ7s2OTW0zyXdR0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/technicaldost~website-contact-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-technicaldost-website-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/technicaldost~website-contact-extractor/runs": { "post": { "operationId": "runs-sync-technicaldost-website-contact-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/technicaldost~website-contact-extractor/run-sync": { "post": { "operationId": "run-sync-technicaldost-website-contact-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Website URLs", "type": "array", "description": "Website URLs or bare domains to scan. Add one website per line.", "items": { "type": "string" } }, "crawlContactPage": { "title": "Crawl contact pages", "type": "boolean", "description": "Also scan likely contact, about, team, support, and impressum pages on the same domain.", "default": true }, "maxPagesPerSite": { "title": "Maximum pages per site", "minimum": 1, "maximum": 5, "type": "integer", "description": "Maximum number of pages to scan for each website, including its homepage.", "default": 3 } } }, "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 } } } } } } } } } } ```