# Website Contact Scraper — Extract Emails & Phone Numbers (`maged120/extract-contacts`) Actor Crawl any website and extract all contact information found — email addresses, phone numbers, and social media profile links — returned in structured JSON. - **URL**: https://apify.com/maged120/extract-contacts.md - **Developed by:** [Maged](https://apify.com/maged120) (community) - **Categories:** Automation, Lead generation - **Stats:** 26 total users, 4 monthly users, 97.3% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing from $15.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ### What does Website Contact Scraper do? **Website Contact Scraper** crawls any website and extracts all contact information found — email addresses, phone numbers, and social media profile links — returned in clean structured JSON. This Actor runs on the [Apify platform](https://apify.com). Use it for B2B lead generation, sales prospecting, PR outreach, or building contact databases from public web pages. ### Why use Website Contact Scraper? - **Comprehensive extraction** — emails, phone numbers, and social links in one run - **Crawls entire sites** — follows internal links to find contact info across all pages - **No manual research** — automate hours of prospect research - **B2B prospecting** — build contact lists for outreach campaigns - **Structured output** — all contacts organized by source URL ### How to use Website Contact Scraper 1. Open the Actor and click **Try for free** 2. Enter website URLs in the `urls` field 3. Set crawl depth and max pages if needed 4. Click **Start** — extracted contacts appear in the Output tab 5. Download as JSON or CSV for import into your CRM ### Input ```json { "urls": [ "https://example-business.com", "https://another-company.com/contact" ], "maxDepth": 2, "maxPages": 10 } ```` | Field | Type | Description | Default | |---|---|---|---| | `urls` | array | Website URLs to crawl | required | | `maxDepth` | integer | Link crawl depth (1 = start page only) | `2` | | `maxPages` | integer | Max pages to crawl per site | `10` | ### Output Results are stored in the Apify dataset. Download in JSON, CSV, HTML, or Excel. ```json { "sourceUrl": "https://example-business.com/contact", "emails": ["info@example-business.com", "sales@example-business.com"], "phones": ["+1-555-123-4567"], "socialLinks": { "linkedin": "https://linkedin.com/company/example", "twitter": "https://twitter.com/example", "facebook": "https://facebook.com/example" } } ``` ### Output fields | Field | Type | Description | |---|---|---| | `sourceUrl` | string | Page where contacts were found | | `emails` | array | Email addresses found | | `phones` | array | Phone numbers found | | `socialLinks` | object | Social media profile URLs by platform | ### Cost Pay-per-result pricing: | Volume | Estimated cost | |---|---| | 50 websites (standard depth) | ~$0.05–$0.50 | | 500 websites | ~$0.50–$5.00 | ### Tips - Set `maxDepth: 1` with URLs pointing directly to `/contact` pages for faster, more targeted extraction - Increase `maxDepth: 3` to crawl deeper into large corporate sites that may spread contacts across many pages - For higher volume and more reliable extraction, use the **Website Contact Extractor Pro** Actor ### FAQ **Does this find contacts on all page types?** The Actor crawls HTML pages. Contact info embedded in images or PDFs is not extracted. **Can it handle sites with contact forms but no visible email?** If an email is not visible in the page HTML, it cannot be extracted. **Is this Actor maintained?** Yes. Report bugs or feature requests in the Issues tab. **Need help or have questions?** Open an issue in the Issues tab or reach out on Discord: **maged03211** # Actor input Schema ## `urls` (type: `array`): List of website URLs to extract contact information (emails, phone numbers, social media profiles, and contact links) from. ## `batch_size` (type: `integer`): Number of URLs to process concurrently in a batch. Adjust to balance speed and server load. ## `use_driver` (type: `boolean`): If true, uses driver for browser-based scraping to handle JavaScript-rendered content. If false, uses HTTP requests via httpx. Requires driver to be installed. ## Actor input object example ```json { "urls": [ "https://apify.com/maged120" ], "batch_size": 5, "use_driver": 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 = { "urls": [ "https://apify.com/maged120" ] }; // Run the Actor and wait for it to finish const run = await client.actor("maged120/extract-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 = { "urls": ["https://apify.com/maged120"] } # Run the Actor and wait for it to finish run = client.actor("maged120/extract-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 '{ "urls": [ "https://apify.com/maged120" ] }' | apify call maged120/extract-contacts --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=maged120/extract-contacts", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact Scraper — Extract Emails & Phone Numbers", "description": "Crawl any website and extract all contact information found — email addresses, phone numbers, and social media profile links — returned in structured JSON.", "version": "0.0", "x-build-id": "8YHKIv5KV9rtEagoN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/maged120~extract-contacts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-maged120-extract-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/maged120~extract-contacts/runs": { "post": { "operationId": "runs-sync-maged120-extract-contacts", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/maged120~extract-contacts/run-sync": { "post": { "operationId": "run-sync-maged120-extract-contacts", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "URLs to scrape", "type": "array", "description": "List of website URLs to extract contact information (emails, phone numbers, social media profiles, and contact links) from.", "items": { "type": "string" } }, "batch_size": { "title": "Batch Size", "minimum": 1, "maximum": 50, "type": "integer", "description": "Number of URLs to process concurrently in a batch. Adjust to balance speed and server load.", "default": 5 }, "use_driver": { "title": "Use driver", "type": "boolean", "description": "If true, uses driver for browser-based scraping to handle JavaScript-rendered content. If false, uses HTTP requests via httpx. Requires driver to be installed.", "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 } } } } } } } } } } ```