# Website Contact Data Scraper (`mandobatman/contact-scraper`) Actor Extract emails, phones, social links, addresses, and contact forms from any website URL. Perfect for B2B lead generation, sales prospecting, and CRM data enrichment. - **URL**: https://apify.com/mandobatman/contact-scraper.md - **Developed by:** [Sid](https://apify.com/mandobatman) (community) - **Categories:** Sports - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## Website Contact Data Scraper **Apify Actor:** [contact-scraper](https://apify.com/mandobatman/contact-scraper) Extract emails, phones, social links, addresses, and contact forms from any website URL. --- ### What This Actor Does Given a website URL, this actor: 1. Fetches the page (and optionally crawls sub-pages up to N hops deep) 2. Extracts all email addresses via pattern matching 3. Finds phone numbers in any common international format 4. Identifies social media profile links (LinkedIn, Twitter/X, Facebook, Instagram, YouTube, TikTok) 5. Detects physical addresses via regex patterns 6. Locates pages with contact forms 7. Saves everything as a structured JSON dataset --- ### Input Parameters | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `url` | string | ✅ | — | Website URL to scrape (e.g. `https://www.example.com`) | | `max_depth` | integer | ❌ | 1 | Crawl depth: 1 = homepage only, 2+ = sub-pages | | `find_social` | boolean | ❌ | true | Extract social media links | | `find_phones` | boolean | ❌ | true | Extract phone numbers | | `find_emails` | boolean | ❌ | true | Extract email addresses | --- ### Output Dataset Fields ```` source\_url, domain, pages\_crawled, crawl\_timestamp, emails\[], phones\[], addresses\[], social\_links: { linkedin, twitter, facebook, instagram, youtube, tiktok }, contact\_forms\[] ```` --- ### Use Cases - **B2B lead generation** — Build contact lists from directories, company sites, event pages - **Sales prospecting** — Enrich CRM records with real phone/email data - **Cold outreach** — Automate contact discovery for personalised email campaigns - **Due diligence** — Verify if companies have genuine published contact info - **Journalism** — Quick contact extraction for research --- ### Limitations - **Cloudflare-protected sites** may block scraping (upgrade to Apify Pro plan for residential proxy support) - **max_depth > 1** increases runtime proportionally - **Free tier:** 100 concurrent results, 7-day dataset retention --- ### Pricing Recommended run cost: **$0.05 – $0.10 per URL** (scales with depth for multi-page crawls). --- ### About Built by **Sid / Statistically World Cup** — sports statistics and data content for the beautiful game. - [Apify Profile](https://apify.com/mandobatman) - [Statistically World Cup](https://www.instagram.com/statisticallyworldcup/) # Actor input Schema ## `url` (type: `string`): The website URL to scrape contact data from (e.g. https://www.example.com) ## `max_depth` (type: `integer`): How many sub-pages to crawl (1 = homepage only, 2 = homepage + links, etc.) ## `find_social` (type: `boolean`): Extract social media profile links (LinkedIn, Twitter, Facebook, Instagram, YouTube) ## `find_phones` (type: `boolean`): Extract phone numbers found on the page ## `find_emails` (type: `boolean`): Extract email addresses found on the page ## Actor input object example ```json { "url": "https://www.example.com", "max_depth": 1, "find_social": true, "find_phones": true, "find_emails": true } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "url": "https://www.example.com" }; // Run the Actor and wait for it to finish const run = await client.actor("mandobatman/contact-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "url": "https://www.example.com" } # Run the Actor and wait for it to finish run = client.actor("mandobatman/contact-scraper").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 '{ "url": "https://www.example.com" }' | apify call mandobatman/contact-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mandobatman/contact-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact Data Scraper", "description": "Extract emails, phones, social links, addresses, and contact forms from any website URL. Perfect for B2B lead generation, sales prospecting, and CRM data enrichment.", "version": "1.0", "x-build-id": "paMZjxwiPv45bOkbB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mandobatman~contact-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mandobatman-contact-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mandobatman~contact-scraper/runs": { "post": { "operationId": "runs-sync-mandobatman-contact-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mandobatman~contact-scraper/run-sync": { "post": { "operationId": "run-sync-mandobatman-contact-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "url" ], "properties": { "url": { "title": "Website URL", "pattern": "^https?://", "type": "string", "description": "The website URL to scrape contact data from (e.g. https://www.example.com)" }, "max_depth": { "title": "Max Crawl Depth", "minimum": 1, "maximum": 5, "type": "integer", "description": "How many sub-pages to crawl (1 = homepage only, 2 = homepage + links, etc.)", "default": 1 }, "find_social": { "title": "Find Social Links", "type": "boolean", "description": "Extract social media profile links (LinkedIn, Twitter, Facebook, Instagram, YouTube)", "default": true }, "find_phones": { "title": "Find Phone Numbers", "type": "boolean", "description": "Extract phone numbers found on the page", "default": true }, "find_emails": { "title": "Find Email Addresses", "type": "boolean", "description": "Extract email addresses found on the page", "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 } } } } } } } } } } ```