# Website Contact Scout (`subtler_awareness/website-contact-scout`) Actor Extract public emails, phone numbers, and social profile links from company websites for lead enrichment. - **URL**: https://apify.com/subtler\_awareness/website-contact-scout.md - **Developed by:** [Boris-Andrei Pavel](https://apify.com/subtler_awareness) (community) - **Categories:** Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 lead records 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 Scout Turn company websites into clean lead-enrichment rows. Website Contact Scout crawls user-provided domains and extracts public contact signals: emails, phone numbers, LinkedIn, X/Twitter, Facebook, Instagram, YouTube, source page, normalized domain, counts, and a confidence score. ### What it is good for - Enriching a CSV of company domains before outbound sales. - Finding contact pages for agencies, recruiters, and B2B research teams. - Building lightweight lead lists from public company websites. - Checking whether a website exposes sales/support contact channels. ### Input | Field | Description | | --- | --- | | `startUrls` | Company, directory, or contact-page URLs to scan. | | `maxRequestsPerCrawl` | Maximum number of pages to crawl across all start URLs. | | `sameDomainOnly` | Keep crawling constrained to the submitted domains. Recommended: `true`. | Example input: ```json { "startUrls": [ { "url": "https://www.iana.org/contact" }, { "url": "https://www.python.org/about/help/" } ], "maxRequestsPerCrawl": 25, "sameDomainOnly": true } ```` ### Output Each dataset item is a lead/contact record: ```json { "domain": "iana.org", "companyName": "Contact Us", "contactPage": "https://www.iana.org/contact", "emails": ["iana@iana.org"], "phones": ["+1-424-254-5300", "+1-424-254-5033"], "socials": [], "emailCount": 1, "phoneCount": 2, "socialCount": 0, "confidence": 0.8 } ``` Common fields: - `url`, `domain`, `companyName`, `title`, `contactPage` - `emails`, `phones`, `socials` - platform-specific fields such as `linkedin`, `twitter`, `facebook`, `instagram`, `youtube` - `emailCount`, `phoneCount`, `socialCount` - `confidence` ### Quality filters The Actor includes lightweight cleanup to reduce noisy lead data: - rejects common date-like phone false positives - rejects protocol/range-style numbers - canonicalizes social links - deduplicates repeated contact-page fragments such as `/contact#main` - suppresses low-confidence social-only boilerplate pages ### Tips for best results - Submit company homepages or contact/about pages. - Keep `sameDomainOnly` enabled unless you intentionally want broader crawling. - Use a moderate `maxRequestsPerCrawl` first, then scale once output quality is confirmed. - Export the dataset as CSV for sales, recruiting, SEO, or research workflows. ### Responsible use This Actor extracts public information from websites you provide. Respect website terms, privacy laws, and anti-spam rules. Do not use extracted contacts for unlawful or abusive outreach. ### Local development ```bash npm install npm test APIFY_LOCAL_STORAGE_DIR=./storage npm start ``` ### Deployment ```bash npx -y apify-cli login npx -y apify-cli push ``` # Actor input Schema ## `startUrls` (type: `array`): Company or directory URLs to scan. ## `maxRequestsPerCrawl` (type: `integer`): Maximum number of pages to crawl across all start URLs. ## `sameDomainOnly` (type: `boolean`): Only enqueue links on the same domain as the provided start URLs. ## Actor input object example ```json { "startUrls": [ { "url": "https://example.com" } ], "maxRequestsPerCrawl": 100, "sameDomainOnly": true } ``` # Actor output Schema ## `leadRecords` (type: `string`): All extracted lead-enrichment rows from the default dataset. ## `contactsOnly` (type: `string`): Dataset view focused on domain, company, emails, phones, source page, and confidence. ## `socialProfiles` (type: `string`): Dataset view focused on LinkedIn, X/Twitter, Facebook, Instagram, and YouTube links. # 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://example.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("subtler_awareness/website-contact-scout").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://example.com" }] } # Run the Actor and wait for it to finish run = client.actor("subtler_awareness/website-contact-scout").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://example.com" } ] }' | apify call subtler_awareness/website-contact-scout --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=subtler_awareness/website-contact-scout", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact Scout", "description": "Extract public emails, phone numbers, and social profile links from company websites for lead enrichment.", "version": "0.1", "x-build-id": "KcuORKLP7QpaMPWnA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/subtler_awareness~website-contact-scout/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-subtler_awareness-website-contact-scout", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/subtler_awareness~website-contact-scout/runs": { "post": { "operationId": "runs-sync-subtler_awareness-website-contact-scout", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/subtler_awareness~website-contact-scout/run-sync": { "post": { "operationId": "run-sync-subtler_awareness-website-contact-scout", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Start URLs", "type": "array", "description": "Company or directory URLs to scan.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxRequestsPerCrawl": { "title": "Max pages", "minimum": 1, "type": "integer", "description": "Maximum number of pages to crawl across all start URLs.", "default": 100 }, "sameDomainOnly": { "title": "Stay on same domain", "type": "boolean", "description": "Only enqueue links on the same domain as the provided start URLs.", "default": 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 } } } } } } } } } } ```