# Find the Best Contact on Any Company Website (`happyfhantum/lead-finder-verified-contacts`) Actor Return one clean best-contact row per company website with email, phone, LinkedIn, and form data. - **URL**: https://apify.com/happyfhantum/lead-finder-verified-contacts.md - **Developed by:** [Kelsey Todd](https://apify.com/happyfhantum) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Find the Best Contact on Any Company Website Get one clean best-contact row per company website instead of a noisy export full of duplicates and junk. ### What it does - Crawls a company website and its key contact pages. - Picks the best email, phone, LinkedIn profile, and contact form for each site. - Returns one CSV-friendly summary row per website. - Scores confidence and recommends the best outreach channel. - Explains why the chosen contact won, what the backup options are, and what to do next. - Writes a `CONTACT_BRIEF.md` artifact so you can skim the whole run without opening the dataset. - Works well for lead lists, prospecting prep, and quick contact validation. # Actor input Schema ## `startUrls` (type: `array`): One website URL per line. The Actor stays on the same site and looks for contact details on the homepage plus the most relevant internal pages. ## `maxPagesPerSite` (type: `integer`): Hard cap for how many pages to inspect on each website. ## `maxContactsPerSite` (type: `integer`): Limits how many output rows are returned per site after deduping and ranking. ## `includeSocialProfiles` (type: `boolean`): Extract company social profile links like LinkedIn, Facebook, X, Instagram, YouTube, and TikTok. ## `includeContactForms` (type: `boolean`): Detect contact forms and return the page or form action URL when available. ## `checkCommonContactPaths` (type: `boolean`): Try likely internal paths such as /contact, /about, /team, /leadership, and /support even if they are not linked from the homepage. ## `requestTimeoutSecs` (type: `integer`): Maximum time to wait for an individual page before skipping it. ## `debugMode` (type: `boolean`): Keep extra debug details in the Actor log and output notes. ## Actor input object example ```json { "startUrls": [ { "url": "https://example.com" } ], "maxPagesPerSite": 12, "maxContactsPerSite": 25, "includeSocialProfiles": true, "includeContactForms": true, "checkCommonContactPaths": true, "requestTimeoutSecs": 20, "debugMode": false } ```` # 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("happyfhantum/lead-finder-verified-contacts").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("happyfhantum/lead-finder-verified-contacts").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 happyfhantum/lead-finder-verified-contacts --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=happyfhantum/lead-finder-verified-contacts", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Find the Best Contact on Any Company Website", "description": "Return one clean best-contact row per company website with email, phone, LinkedIn, and form data.", "version": "0.1", "x-build-id": "abCkocqLz7IafJbaC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/happyfhantum~lead-finder-verified-contacts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-happyfhantum-lead-finder-verified-contacts", "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/happyfhantum~lead-finder-verified-contacts/runs": { "post": { "operationId": "runs-sync-happyfhantum-lead-finder-verified-contacts", "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/happyfhantum~lead-finder-verified-contacts/run-sync": { "post": { "operationId": "run-sync-happyfhantum-lead-finder-verified-contacts", "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": "Website URLs", "type": "array", "description": "One website URL per line. The Actor stays on the same site and looks for contact details on the homepage plus the most relevant internal pages.", "items": { "type": "object", "properties": { "url": { "type": "string", "title": "URL", "description": "A website URL to crawl for contact details." } }, "required": [ "url" ] } }, "maxPagesPerSite": { "title": "Max pages per site", "minimum": 1, "maximum": 50, "type": "integer", "description": "Hard cap for how many pages to inspect on each website.", "default": 12 }, "maxContactsPerSite": { "title": "Max contacts per site", "minimum": 1, "maximum": 100, "type": "integer", "description": "Limits how many output rows are returned per site after deduping and ranking.", "default": 25 }, "includeSocialProfiles": { "title": "Include social profiles", "type": "boolean", "description": "Extract company social profile links like LinkedIn, Facebook, X, Instagram, YouTube, and TikTok.", "default": true }, "includeContactForms": { "title": "Include contact forms", "type": "boolean", "description": "Detect contact forms and return the page or form action URL when available.", "default": true }, "checkCommonContactPaths": { "title": "Probe common contact pages", "type": "boolean", "description": "Try likely internal paths such as /contact, /about, /team, /leadership, and /support even if they are not linked from the homepage.", "default": true }, "requestTimeoutSecs": { "title": "Request timeout (seconds)", "minimum": 5, "maximum": 60, "type": "integer", "description": "Maximum time to wait for an individual page before skipping it.", "default": 20 }, "debugMode": { "title": "Debug mode", "type": "boolean", "description": "Keep extra debug details in the Actor log and output notes.", "default": false } } }, "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 } } } } } } } } } } ```