# Facebook Page Scraper (`codenest/facebook-page-scraper`) Actor Extract complete Facebook page data - page names, profile/cover photos, follower counts, bios, contact details (email/phone/address), business hours, and all social media links (Instagram/YouTube/WhatsApp). - **URL**: https://apify.com/codenest/facebook-page-scraper.md - **Developed by:** [CodeNest](https://apify.com/codenest) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event + usage This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## 📘 Facebook Page Scraper - Complete Page Data Extraction Tool **Extract comprehensive Facebook page data with our powerful **Facebook Page Scraper**! This Apify actor enables you to scrape page profiles, engagement metrics, contact details, and complete social presence information.** --- ### 📋 Overview Need to analyze competitors, monitor brands, or collect market intelligence? This **Facebook Page Scraper** delivers: - 🏢 **Complete Page Profiles** - Names, bios, categories, and photos - 📊 **Engagement Metrics** - Follower counts, following counts - 📞 **Contact Information** - Emails, phones, addresses, websites - 🔗 **Social Links** - Instagram, YouTube, TikTok, WhatsApp integration - ⏰ **Business Hours** - Operating schedules and availability - 🏷️ **Additional Data** - Anniversary dates, screen names, verified badges Perfect for market researchers 📈, brand managers 🏷️, sales teams 💼, and data analysts 🔬! --- ### ⭐ Core Capabilities of Facebook Page Scraper #### 📇 Profile Extraction - **Page Identity** - Names, usernames, profile IDs - **Visual Assets** - Profile photos, cover images - **Page Categories** - Business types and classifications - **About Sections** - Complete page descriptions #### 📊 Engagement Analytics - **Follower Count** - Total page followers - **Following Count** - Pages this page follows - **Review Data** - Rating scores and review counts #### 📞 Contact & Location - **Physical Address** - Complete location details - **Phone Numbers** - Primary and WhatsApp numbers - **Email Addresses** - Contact email addresses - **Website URLs** - Official and associated sites - **Service Areas** - Geographic coverage zones #### 🔗 Social Presence - **Linked Accounts** - Instagram, YouTube, TikTok, Twitter - **WhatsApp Integration** - Direct chat links - **Screen Names** - Alternative usernames - **Verified Badges** - Official page verification status #### 🏷️ Additional Metadata - **Anniversary Dates** - Page creation milestones - **Operating Hours** - Daily/weekly business schedules - **Additional Info** - Special page attributes --- ### ⚙️ Input Configuration Configure your **Facebook Page Scraper** with these options: ```json { "pageUrls": [ "https://web.facebook.com/banglanewsmagazine" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }, "maxConcurrency": 3, "minDelayMs": 1500, "maxDelayMs": 4000, "cookies": [] } ```` #### 📝 Input Specifications | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `pageUrls` | Array | ✅ Yes | - | Facebook page URLs to scrape | | `proxyConfiguration` | Object | ❌ No | - | Proxy settings for reliable access | | `useApifyProxy` | Boolean | ❌ No | true | Enable Apify proxy rotation | | `apifyProxyGroups` | Array | ❌ No | \["RESIDENTIAL"] | Proxy group preferences | | `maxConcurrency` | Integer | ❌ No | 3 | Parallel page processing (1-5) | | `minDelayMs` | Integer | ❌ No | 1500 | Minimum delay between requests | | `maxDelayMs` | Integer | ❌ No | 4000 | Maximum delay between requests | | `cookies` | Array | ❌ No | \[] | Session cookies for authentication | *** ### 📤 Output Structure Your **Facebook Page Scraper** produces comprehensive page data: ```json [ { "title": "Bangla Magazine", "profile_photo": "https://scontent.fkul16-3.fna...", "cover_photo": "https://scontent.fkul16-2.fna...", "followers": "746K followers", "following": "4 following", "bio": "বাংলাদেশের প্রতিটি খবর, প্রতিটি ঘটনা – সবার আগে আপনার কাছে।", "details": { "category": "News & media website", "address": "১৬ , পুরানা পল্টন, 1216", "service_area": null, "email": "banglamagazines.com@gmail.com", "phone": "+880 1707-168167", "website": "https://www.banglamagazinenews.com/", "instagram": "https://www.instagram.com/banglamagazine", "services": null, "hours": "Always open", "reviews": null, "lives_in": null, "from": null, "social_links": { "instagram": "https://www.instagram.com/banglamagazine", "youtube": "https://youtube.com/@banglamagazine.official", "tiktok": null, "twitter": null, "whatsapp": "https://api.whatsapp.com/send?phone=..." }, "additional_info": { "whatsapp_number": ["+880 1707-168167"], "screenname": ["banglamagazinenews", "banglamagazine"], "anniversary": ["10 September 2017"], "INTRO_CARD_WEBSITE": ["banglamagazinenews.com"] } } } ] ``` #### 📖 Output Field Documentation **🔹 Page Identity** | Field | Description | |-------|-------------| | `title` | Official page name | | `profile_photo` | Profile picture URL (high resolution) | | `cover_photo` | Cover/banner image URL | | `bio` | Page description and mission statement | **🔹 Engagement Metrics** | Field | Description | |-------|-------------| | `followers` | Total follower count (human-readable) | | `following` | Number of pages followed by this page | | `reviews` | Review/rating information when available | **🔹 Business Information** | Field | Description | |-------|-------------| | `category` | Page classification (News, Entertainment, etc.) | | `address` | Physical location details | | `service_area` | Geographic coverage zones | | `email` | Contact email address | | `phone` | Primary phone number | | `website` | Official website URL | | `hours` | Business operating hours | | `from` | Page's listed location/city | **🔹 Social Connections** | Field | Description | |-------|-------------| | `social_links` | All linked social media accounts | | `instagram` | Instagram profile URL | | `youtube` | YouTube channel URL | | `tiktok` | TikTok profile URL | | `twitter` | Twitter/X profile URL | | `whatsapp` | WhatsApp business link | **🔹 Additional Metadata** | Field | Description | |-------|-------------| | `additional_info` | Page attributes and special fields | | `screenname` | Alternative/previous usernames | | `anniversary` | Page creation date | | `INTRO_CARD_*` | Standard page information fields | *** ### 🔧 Technical Features of This Facebook Page Scraper #### 🚀 Performance Optimization - **Concurrent Scraping** - Process multiple pages simultaneously - **Smart Throttling** - Configurable delays to avoid detection - **Proxy Integration** - Residential IP rotation for reliability - **Cookie Support** - Session persistence for complex pages #### 🛡️ Anti-Detection Measures - **Natural Delays** - Randomized timing between requests - **Browser Simulation** - Realistic request headers - **Rotating Proxies** - Rotate IPs to prevent blocking - **Rate Limiting** - Built-in request limiting #### 📊 Data Quality Features - **Complete Extraction** - Gets all visible page data - **URL Normalization** - Handles various Facebook URL formats - **Error Resilience** - Continues despite individual page failures - **Human-Readable** - Formats follower counts naturally *** ### 💡 Use Cases for Facebook Page Scraper - **📈 Competitor Analysis** - Track competitor followers and content - **🏷️ Brand Monitoring** - Monitor brand presence and engagement - **💼 Lead Generation** - Extract business contact information - **🔬 Market Research** - Analyze industry page statistics - **📊 Social Audits** - Evaluate page performance metrics - **🤝 Partnership Discovery** - Find potential business partners - **📱 Influencer Identification** - Discover relevant content creators *** ### ✨ Why Choose Our Facebook Page Scraper? - **⚡ Complete Profile Data** - Gets every visible piece of information - **🎯 Production Ready** - Battle-tested with thousands of pages - **🔄 Regular Updates** - Adapts to Facebook interface changes - **📦 Organized Output** - Clean JSON structure with labeled fields - **🛡️ Safe Scraping** - Respects robots.txt and rate limits - **💰 Cost Efficient** - Optimized request patterns minimize costs *** ### ⚠️ Limitations - Requires valid Facebook page URLs (public pages only) - Some data may vary based on page's privacy settings - Very high concurrency may trigger rate limits - Requires proper proxy configuration for best results - Some pages may have incomplete additional\_info fields *** ### 📧 Need Customization for Your Facebook Page Scraper? Want **specific fields**, **custom formats**, **historical data**, or **advanced filtering**? ✉️ Email **** for tailored enterprise solutions! *** # Actor input Schema ## `pageUrls` (type: `array`): Enter one or more Facebook page URLs or usernames to scrape. You can enter the full URL (e.g., https://web.facebook.com/FamousSL) or just the username (e.g., FamousSL). ## `maxConcurrency` (type: `integer`): Maximum number of pages to scrape in parallel. Lower values are safer against rate-limiting or blocks. Default is 3. ## `minDelayMs` (type: `integer`): Minimum random delay in milliseconds between requests to mimic human behavior. Default is 1500ms. ## `maxDelayMs` (type: `integer`): Maximum random delay in milliseconds between requests. Default is 4000ms. ## `proxyConfiguration` (type: `object`): Specifies proxies that will be used by the scraper. Using a proxy (especially residential) is highly recommended when running on the Apify platform. ## `cookies` (type: `array`): Optional Facebook session cookies in JSON format (array of cookie objects or a key-value dictionary). Paste your exported cookies here to log in and bypass Login Wall redirects on datacenter IPs. ## Actor input object example ```json { "pageUrls": [], "maxConcurrency": 3, "minDelayMs": 1500, "maxDelayMs": 4000, "proxyConfiguration": { "useApifyProxy": true }, "cookies": [] } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("codenest/facebook-page-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 = {} # Run the Actor and wait for it to finish run = client.actor("codenest/facebook-page-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 '{}' | apify call codenest/facebook-page-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codenest/facebook-page-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Page Scraper", "description": "Extract complete Facebook page data - page names, profile/cover photos, follower counts, bios, contact details (email/phone/address), business hours, and all social media links (Instagram/YouTube/WhatsApp).", "version": "0.0", "x-build-id": "y9bfMXgbcm95giGur" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codenest~facebook-page-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codenest-facebook-page-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/codenest~facebook-page-scraper/runs": { "post": { "operationId": "runs-sync-codenest-facebook-page-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/codenest~facebook-page-scraper/run-sync": { "post": { "operationId": "run-sync-codenest-facebook-page-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": [ "pageUrls" ], "properties": { "pageUrls": { "title": "Page URLs / Usernames", "type": "array", "description": "Enter one or more Facebook page URLs or usernames to scrape. You can enter the full URL (e.g., https://web.facebook.com/FamousSL) or just the username (e.g., FamousSL).", "items": { "type": "string" }, "default": [] }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of pages to scrape in parallel. Lower values are safer against rate-limiting or blocks. Default is 3.", "default": 3 }, "minDelayMs": { "title": "Minimum Delay (ms)", "minimum": 500, "type": "integer", "description": "Minimum random delay in milliseconds between requests to mimic human behavior. Default is 1500ms.", "default": 1500 }, "maxDelayMs": { "title": "Maximum Delay (ms)", "minimum": 500, "type": "integer", "description": "Maximum random delay in milliseconds between requests. Default is 4000ms.", "default": 4000 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Specifies proxies that will be used by the scraper. Using a proxy (especially residential) is highly recommended when running on the Apify platform.", "default": { "useApifyProxy": true } }, "cookies": { "title": "Cookies (JSON)", "type": "array", "description": "Optional Facebook session cookies in JSON format (array of cookie objects or a key-value dictionary). Paste your exported cookies here to log in and bypass Login Wall redirects on datacenter IPs.", "default": [] } } }, "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 } } } } } } } } } } ```