# Website Contact Details Scraper (`reflective_plagioclase/website-contact-scraper`) Actor - **URL**: https://apify.com/reflective\_plagioclase/website-contact-scraper.md - **Developed by:** [Matt](https://apify.com/reflective_plagioclase) (community) - **Categories:** Lead generation, Business - **Stats:** 2 total users, 0 monthly users, 66.7% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.95 / 1,000 contact extracteds 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 ## Website Contact Details Scraper **Extract emails, phone numbers, and social media links from any website.** Give it a URL (or a list of URLs) and it returns all contact information found on the page and its subpages — including /contact, /about, /support, and more. ### How It Works 1. Takes URLs as input (single URL or array) 2. Scrapes each URL plus common contact pages: /contact, /about, /about-us, /contact-us, /contacts, /support, /help 3. Searches DuckDuckGo Lite for additional relevant pages on the domain 4. Extracts email addresses, phone numbers, and social media links from all collected content 5. Returns structured output per URL ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `urls` | array | ✅* | — | List of website URLs to scrape | | `url` | string | ✅* | — | Alternative: single URL to process | | `includeEmails` | boolean | — | true | Extract email addresses | | `includePhones` | boolean | — | true | Extract phone numbers | | `includeSocial` | boolean | — | true | Extract social media links | | `maxResults` | integer | — | 50 | Max URLs to process | *Either `urls` or `url` is required. ### Output Example ```json { "url": "https://example.com", "domain": "example.com", "emails": ["info@example.com", "support@example.com", "jane.doe@example.com"], "phones": ["+15551234567", "+15557654321"], "social": { "linkedin": ["https://linkedin.com/company/example"], "twitter": ["https://twitter.com/example"], "facebook": ["https://facebook.com/example"], "instagram": ["https://instagram.com/example"] }, "pages_scraped": [ "https://example.com", "https://example.com/contact", "https://example.com/about", "https://example.com/support" ] } ```` ### Use Cases - **CRM enrichment** — Fill in missing contact details for your existing accounts - **Competitor analysis** — Gather contact info from competitor websites - **Partnership research** — Find the right contact at potential partner companies - **Website audit** — Check if your own contact pages are leaking unwanted information - **Recruiting** — Find hiring contacts at target companies ### Pricing Pay-per-event: **$0.00095 per URL processed** ($0.95 per 1,000 URLs). You only pay for URLs successfully scraped and output in the dataset. ### Tips - Upload a CSV with URLs for bulk processing, or pass a single URL - The actor checks up to 15 subpages per domain for maximum coverage - Social media extraction supports: LinkedIn, Twitter/X, Facebook, Instagram, YouTube, GitHub - Email filtering removes noise (image urls, example domains, system addresses) - International phone numbers with country codes are supported # Actor input Schema ## `urls` (type: `array`): List of website URLs to scrape for contacts ## `url` (type: `string`): Alternative: a single URL to process ## `includeEmails` (type: `boolean`): Extract email addresses from pages ## `includePhones` (type: `boolean`): Extract phone numbers from pages ## `includeSocial` (type: `boolean`): Extract LinkedIn, Twitter, Facebook, Instagram, GitHub URLs ## `maxResults` (type: `integer`): Maximum number of URLs to process ## Actor input object example ```json { "urls": [ "https://example.com" ], "includeEmails": true, "includePhones": true, "includeSocial": true, "maxResults": 50 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://example.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("reflective_plagioclase/website-contact-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "urls": ["https://example.com"] } # Run the Actor and wait for it to finish run = client.actor("reflective_plagioclase/website-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 '{ "urls": [ "https://example.com" ] }' | apify call reflective_plagioclase/website-contact-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=reflective_plagioclase/website-contact-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact Details Scraper", "version": "0.1", "x-build-id": "INanISQ4C0EThMoLz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/reflective_plagioclase~website-contact-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-reflective_plagioclase-website-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/reflective_plagioclase~website-contact-scraper/runs": { "post": { "operationId": "runs-sync-reflective_plagioclase-website-contact-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/reflective_plagioclase~website-contact-scraper/run-sync": { "post": { "operationId": "run-sync-reflective_plagioclase-website-contact-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "urls": { "title": "Website URLs", "type": "array", "description": "List of website URLs to scrape for contacts" }, "url": { "title": "Single URL", "type": "string", "description": "Alternative: a single URL to process" }, "includeEmails": { "title": "Include Email Addresses", "type": "boolean", "description": "Extract email addresses from pages", "default": true }, "includePhones": { "title": "Include Phone Numbers", "type": "boolean", "description": "Extract phone numbers from pages", "default": true }, "includeSocial": { "title": "Include Social Media Links", "type": "boolean", "description": "Extract LinkedIn, Twitter, Facebook, Instagram, GitHub URLs", "default": true }, "maxResults": { "title": "Max URLs", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of URLs to process", "default": 50 } } }, "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 } } } } } } } } } } ```