# Website Contact & Metadata Extractor (`fearless_sarinda-owner/website-contact-metadata-extractor`) Actor Bulk website email & phone scraper — turn a list of domains into a clean table of emails, phone numbers, social profiles, and detected tech stack. Bills once per input domain (predictable cost), exports to JSON/CSV/Excel. - **URL**: https://apify.com/fearless\_sarinda-owner/website-contact-metadata-extractor.md - **Developed by:** [Federico Casarella](https://apify.com/fearless_sarinda-owner) (community) - **Categories:** Lead generation, Automation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 website processeds 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 & Metadata Extractor Turn a list of websites into a clean, structured dataset. For every URL you pass, this actor fetches the public pages and returns the **title, meta description, emails, phone numbers, social profiles, and detected tech stack** — ready for lead lists, CRM enrichment, or competitor research. **Pay only for what you use:** billed per website successfully processed (Pay-Per-Event). No monthly commitment. ### What you get per website ```json { "url": "https://basecamp.com", "ok": true, "title": "Basecamp", "description": "Trusted by millions, Basecamp puts everything you need to get work done in one place.", "emails": ["jason@basecamp.com"], "phones": [], "social": { "twitter": "https://x.com/basecamp", "linkedin": "https://www.linkedin.com/company/basecamp" }, "tech": ["Ruby on Rails"], "scrapedAt": "2026-07-19T12:00:00.000Z" } ```` ### Input | Field | Type | Description | |---|---|---| | `urls` | array | Websites or bare domains (e.g. `apify.com`). Required. | | `maxConcurrency` | integer | Sites fetched in parallel (1–20, default 5). | | `alsoCheckContactPage` | boolean | Also scan `/contact` and `/about` for more emails (default true). | ### Use cases - **Lead enrichment** — turn a domain list into emails + socials for outreach. - **Sales research** — see each prospect's tech stack at a glance. - **Data cleaning** — normalize a messy URL list into structured JSON/CSV/Excel. ### How it works & fair use The actor only fetches **publicly accessible pages of the domains you provide**, sends a clear identifying User-Agent, and **respects `robots.txt`** (sites disallowing crawling are skipped). It does not scrape LinkedIn, Instagram, or other platforms whose terms forbid it — you bring the URLs, it structures what's public. ### Pricing Pay-Per-Event: one charge per website successfully processed. Set your price in the Apify Console → Monetization (event id: `website-processed`). # Actor input Schema ## `urls` (type: `array`): List of website URLs or bare domains to extract from (e.g. apify.com or https://apify.com). ## `maxConcurrency` (type: `integer`): How many sites to fetch in parallel. ## `alsoCheckContactPage` (type: `boolean`): Fetch common contact pages to find more emails. ## Actor input object example ```json { "urls": [ "https://apify.com", "https://www.python.org" ], "maxConcurrency": 5, "alsoCheckContactPage": true } ``` # 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://apify.com", "https://www.python.org" ] }; // Run the Actor and wait for it to finish const run = await client.actor("fearless_sarinda-owner/website-contact-metadata-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://apify.com", "https://www.python.org", ] } # Run the Actor and wait for it to finish run = client.actor("fearless_sarinda-owner/website-contact-metadata-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://apify.com", "https://www.python.org" ] }' | apify call fearless_sarinda-owner/website-contact-metadata-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fearless_sarinda-owner/website-contact-metadata-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact & Metadata Extractor", "description": "Bulk website email & phone scraper — turn a list of domains into a clean table of emails, phone numbers, social profiles, and detected tech stack. Bills once per input domain (predictable cost), exports to JSON/CSV/Excel.", "version": "0.1", "x-build-id": "5IabKewyGFBNR2YsP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fearless_sarinda-owner~website-contact-metadata-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fearless_sarinda-owner-website-contact-metadata-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fearless_sarinda-owner~website-contact-metadata-extractor/runs": { "post": { "operationId": "runs-sync-fearless_sarinda-owner-website-contact-metadata-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fearless_sarinda-owner~website-contact-metadata-extractor/run-sync": { "post": { "operationId": "run-sync-fearless_sarinda-owner-website-contact-metadata-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Websites / domains", "type": "array", "description": "List of website URLs or bare domains to extract from (e.g. apify.com or https://apify.com).", "items": { "type": "string" } }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many sites to fetch in parallel.", "default": 5 }, "alsoCheckContactPage": { "title": "Also scan /contact and /about", "type": "boolean", "description": "Fetch common contact pages to find more emails.", "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 } } } } } } } } } } ```