# Advanced Website Email, Phone and Social Media Scraper (`perfectscrape/actor`) Actor This advanced contact scraper is an ALL-IN-ONE scraper that navigates pages likely to contain contact data, extracting emails, phone numbers, and social media links, with precision and speed. This scraper can bypass cloudflare and captchas. Very good scraper for lead generation. - **URL**: https://apify.com/perfectscrape/actor.md - **Developed by:** [Sadnan](https://apify.com/perfectscrape) (community) - **Categories:** Lead generation - **Stats:** 1,035 total users, 14 monthly users, 85.7% runs succeeded, 21 bookmarks - **User rating**: 1.64 out of 5 stars ## Pricing $10.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## Advanced Email, Phone and Social Media Scraper #### Overview The **Advanced Email, Phone and Social Media Scraper** is an advanced tool for gathering contact and social media information from websites. With a unique, human-emulating approach, it effectively bypasses common security blocks, including CAPTCHA and Cloudflare, enabling reliable, efficient data extraction. Simply provide a single URL or list of URLs, and this scraper will dive deep into each site, navigating to areas most likely to contain contact details while skipping irrelevant pages to conserve resources. --- #### Key Features - **Full Contact Data Extraction**: Collects emails, phone numbers, and social media links from any website, making your data collection process efficient and thorough. - **Human-Emulation Browsing**: Bypasses security measures by navigating each site with a Chrome browser, providing more consistent access even in security-sensitive environments. - **Smart Resource Management**: Efficiently retrieves emails, phone numbers, and social media links by focusing only on high-potential pages within a website, ignoring subpages with a low likelihood of containing contact information. This approach saves time and resources while still ensuring comprehensive data collection. - **Bulk URL Processing**: Supports single or multiple URLs in one run, making it ideal for both small-scale and large-scale projects. --- #### How It Works 1. **Input URLs**: Add the target URLs (formatted as `https://domain.com`) or upload a list for bulk processing. 2. **Selective Page Crawling**: The worker scans each website’s main pages and subpages likely to contain contact details, skipping lower-relevance areas to optimize for efficiency. 3. **Contact Extraction**: - **Comprehensive Crawling**: The worker scans accessible areas, checking potential sources of contact details. - **Data Retrieval**: Captures available emails, phone numbers, and the first valid social media links it identifies (LinkedIn, Facebook, Twitter, TikTok, Pinterest, Instagram). 4. **Data Storage**: Saves all data in Apify’s dataset format, allowing easy export for analysis or integration with other workflows. --- #### Usage ##### Single URL Mode Enter a single URL (e.g., `https://example.com`) to get contact details for that site. ##### Bulk URL Mode Use the **“Bulk Edit”** feature to submit multiple URLs for processing. The scraper will automatically store each site’s results in an organized dataset. --- #### Output For each website, the worker generates: - **Emails**: Unique, validated email addresses. - **Phone Numbers**: Available phone numbers on the site. - **Social Media Links**: First valid links to each identified social media profile (LinkedIn, Facebook, Twitter, etc.). --- #### Example Usage 1. Open the Apify console, select the **Advanced Email, Phone and Social Media Scraper**. 2. Input one or multiple URLs. 3. Start the worker. It will navigate and selectively scrape, focusing on the pages where contact details are most likely to be located, saving results in Apify’s dataset. --- #### Benefits - **Efficient Data Collection**: Collects comprehensive contact information without unnecessary data, minimizing duplicates and irrelevant results. - **Bypasses Security Barriers**: Using Apify's advanced tech, navigates with human-like behavior, bypassing CAPTCHA and Cloudflare with ease. - **Smart, Resource-Efficient Crawling**: Focuses only on pages with high data potential, saving user resources while ensuring effective results. --- #### FAQs - **Will it work on sites with security measures?** - Yes, the worker’s human-like navigation enables it to bypass common blocks, such as CAPTCHA and Cloudflare. - **Does it filter duplicate data?** - Yes, it captures unique entries only, optimizing output quality. - **How does it save on resources?** - By focusing only on high-potential pages, it avoids crawling unnecessary sections, making it a resource-efficient choice. - **Can I export the results?** - Yes, Apify’s dataset system allows easy export options for further processing. - **Is my data secure?** - Apify securely manages all scraped data, ensuring it’s accessible only to you and stored in a secure environment. --- # Actor input Schema ## `startUrls` (type: `array`): Enter each URL on a new line OR use Bulk Edit option to paste a list of URLs. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.apify.com" }, { "url": "https://www.example.com" } ] } ```` # 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 = { "startUrls": [ { "url": "https://www.apify.com" }, { "url": "https://www.example.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("perfectscrape/actor").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 = { "startUrls": [ { "url": "https://www.apify.com" }, { "url": "https://www.example.com" }, ] } # Run the Actor and wait for it to finish run = client.actor("perfectscrape/actor").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 '{ "startUrls": [ { "url": "https://www.apify.com" }, { "url": "https://www.example.com" } ] }' | apify call perfectscrape/actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=perfectscrape/actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Advanced Website Email, Phone and Social Media Scraper", "description": "This advanced contact scraper is an ALL-IN-ONE scraper that navigates pages likely to contain contact data, extracting emails, phone numbers, and social media links, with precision and speed. This scraper can bypass cloudflare and captchas. Very good scraper for lead generation.", "version": "0.0", "x-build-id": "wgXEHfDzM7NhGhJIq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/perfectscrape~actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-perfectscrape-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/perfectscrape~actor/runs": { "post": { "operationId": "runs-sync-perfectscrape-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/perfectscrape~actor/run-sync": { "post": { "operationId": "run-sync-perfectscrape-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Enter each URL on a new line OR use Bulk Edit option to paste a list of URLs.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```