# Contact Information Scraper (`wedo_software/wedo-scrape-contact`) Actor Easily scrape website contacts with our AI scraper. We deep-crawl domains to automatically extract hidden emails, phone numbers, and addresses. If you need to scrape website contacts for B2B lead generation, automate it here and export clean data directly to CSV or JSON. - **URL**: https://apify.com/wedo\_software/wedo-scrape-contact.md - **Developed by:** [Benjamin](https://apify.com/wedo_software) (community) - **Categories:** Lead generation, AI, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 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. 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 ## 📞 AI Contact Info Scraper: Extract Emails, Phone Numbers & Addresses Stop manually copying and pasting leads. This advanced **AI-powered Contact Scraper** automatically crawls any business website, discovers hidden contact pages, and extracts structured data. If you need to **scrape website contact info** efficiently, our tool automatically finds emails, phone numbers, physical addresses, and social profiles with high accuracy, turning any website into a clean lead list. ### 🚀 Why this Scraper is Different * **Auto-Deep Crawl**: Just provide the homepage; the scraper explores subpages (e.g., `/contact`, `/about-us`, `/impressum`, `/team`) to find hidden contact details. * **B2B Lead Generation Ready**: Perfect for sales prospecting, marketing outreach, data enrichment, and building CRM pipelines. * **AI-Powered Accuracy**: Uses LLMs to parse messy, unstructured text into clean data formats regardless of language or geographic location. * **No Code Required**: Get a clean, structured JSON or CSV response from any URL. --- ### 📖 Simple Usage Unlike basic scrapers that only read the homepage, this Actor intelligent finds the right pages. Just provide the main website URL and let the AI do the heavy lifting. #### 1. Provide the Website URL Input the base URL of the target business. The Actor will automatically scan for contact networks. **Input Example:** ```json { "urls": ["https://example-b2b-company.com"] } ```` #### 2. The Scraper "Thinks" - **Crawls:** Navigates the site to identify potential contact hubs. - **Filters:** Uses AI to determine which subpages actually contain contact data. - **Extracts:** Pulls out raw emails, phone structures, and localized addresses. - **Structures:** Organizes the findings into a clean, deduplicated format. ### 📊 Result Format (AI Enhanced) The output captures the source URL and the structured lead data ready for your CRM or mailing software. **Sample Output:** ````json [ { "type": "html", "url": "https://apify.com/contact", "website": "https://apify.com", "data": [ { "name": "Apify Technologies s.r.o.", "email": "hello@apify.com" } ] }, { "type": "html", "url": "https://status.apify.com/", "website": "https://apify.com", "data": [ { "name": "Apify", "email": "support@apify.com" } ] } ] # Actor input Schema ## `urls` (type: `array`): List of website URLs to scrape contact information from. ## Actor input object example ```json { "urls": [ "https://lecoucou.com" ] } ```` # Actor output Schema ## `dataset` (type: `string`): The scraped contact information # 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://lecoucou.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("wedo_software/wedo-scrape-contact").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://lecoucou.com"] } # Run the Actor and wait for it to finish run = client.actor("wedo_software/wedo-scrape-contact").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://lecoucou.com" ] }' | apify call wedo_software/wedo-scrape-contact --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wedo_software/wedo-scrape-contact", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Contact Information Scraper", "description": "Easily scrape website contacts with our AI scraper. We deep-crawl domains to automatically extract hidden emails, phone numbers, and addresses. If you need to scrape website contacts for B2B lead generation, automate it here and export clean data directly to CSV or JSON.", "version": "0.0", "x-build-id": "bUJg0ajZxHFJsa6Pa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wedo_software~wedo-scrape-contact/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wedo_software-wedo-scrape-contact", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/wedo_software~wedo-scrape-contact/runs": { "post": { "operationId": "runs-sync-wedo_software-wedo-scrape-contact", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/wedo_software~wedo-scrape-contact/run-sync": { "post": { "operationId": "run-sync-wedo_software-wedo-scrape-contact", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 scrape contact information from.", "items": { "type": "string" }, "default": [ "https://lecoucou.com" ] } } }, "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 } } } } } } } } } } ```