Facebook Groups Scraper

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A powerful Apify actor to scrape Facebook group posts with automatic discovery of doc_id, node_id, and end_cursor, intelligent pagination, advanced filtering options, and smart proxy management.

Key Features

• 🔍 Automatic Discovery: Extracts node_id, doc_id, and end_cursor automatically from group HTML/JS
• 📄 Smart Pagination: Paginates through group feed and streams results to Apify dataset in real-time
• 🏠 Residential Proxy: Always uses residential proxy with automatic retries until data demand is fulfilled
• 🔄 Multiple Sorting Options: Support for CHRONOLOGICAL, RECENT_ACTIVITY, TOP_POSTS, and CHRONOLOGICAL_LISTINGS
• 🔎 Advanced Filtering: Filter posts by keywords, year, and date range
• ⚡ Anti-blocking: Randomized delays between requests to avoid detection
• 📊 Rich Data Extraction: Extracts posts with reactions, comments, attachments, and metadata

Input Parameters

Required

• startUrls (array, required): Facebook group URLs to scrape
  • Only public Facebook groups can be scraped
  • Example: ["https://www.facebook.com/groups/example-group"]

Optional

• resultsLimit (integer, default: 20): Maximum number of posts to scrape across all URLs

  • Minimum: 1
  • If not set, the actor will scrape as many results as possible

• viewOption (string, default: "CHRONOLOGICAL"): Sorting order for posts

  • Options:
    • CHRONOLOGICAL: Posts in chronological order
    • RECENT_ACTIVITY: Posts sorted by recent activity
    • TOP_POSTS: Top posts by engagement
    • CHRONOLOGICAL_LISTINGS: Chronological listings (for BuySell groups)
  • Note: The results limit applies to new posts only

• searchGroupKeyword (string): Search posts by letter or keyword

  • ⚠️ Important: Without logging in, search results are VERY limited
  • Searching by full words will return nothing in most cases
  • Recommendation: Use one or two letter searches for better results
  • Example: "a" or "ab"

• searchGroupYear (string): Filter posts by specific year

  • Requires searchGroupKeyword to be set
  • Example: "2024"

• onlyPostsNewerThan (string): Filter posts newer than a specific date/time

  • Supports multiple formats:
    • Absolute date: "2024-01-15" or "2024-01-15T10:30:00"
    • Relative time: "1 days", "2 months", "3 years", "1 hour", "2 minutes"
    • ISO format: "2024-01-15T10:30:00Z"
  • Examples:
    • "2024-01-15" - Posts from January 15, 2024 onwards
    • "2 months" - Posts from the last 2 months
    • "1 days" - Posts from the last 24 hours

• proxyConfiguration (object): Proxy settings

  • Actor always uses residential proxy
  • Automatically retries until user demand data is fully fulfilled
  • Default: {"useApifyProxy": false}

Output Structure

Each post in the dataset contains the following fields:

Basic Information

• facebookUrl: URL of the Facebook group
• url: Direct URL to the post
• time: ISO8601 timestamp when the post was created (UTC, .000Z format)
• inputUrl: Original input URL used for scraping

Post Identifiers

• id: Unique post identifier
• legacyId: Legacy post ID (post_id)
• feedbackId: Feedback identifier for the post

User Information

• user: Object containing:
  • id: User ID
  • name: User's display name

Content

• text: Post text content
• attachments: Array of attachments including:
  • Photos with thumbnail, image URI, dimensions
  • Media sets (albums) with mediaset_token
  • OCR text from images
  • Owner information

Engagement Metrics

• likesCount: Total number of likes
• sharesCount: Total number of shares
• commentsCount: Total number of comments
• topReactionsCount: Total count of top reactions
• reactionLikeCount: Number of like reactions
• reactionLoveCount: Number of love reactions

Comments

• topComments: Array of top 2 comments, each containing:
  • commentUrl: Direct URL to the comment
  • id: Comment identifier
  • feedbackId: Comment feedback ID
  • date: Comment timestamp
  • text: Comment text
  • profileUrl: Commenter's profile URL
  • profilePicture: Commenter's profile picture URL
  • profileId: Commenter's user ID
  • profileName: Commenter's display name
  • likesCount: Number of likes on the comment
  • threadingDepth: Comment threading depth

Group Information

• facebookId: Facebook group ID
• groupTitle: Title of the Facebook group
• pageAdLibrary: Object containing:
  • is_business_page_active: Boolean flag
  • id: Page/group identifier

How to Use

1. Open the Actor: In Apify Console, navigate to the Facebook Groups Scraper actor

2. Configure Input:

   • Add one or more Facebook group URLs in startUrls
   • (Optional) Set resultsLimit to control how many posts to scrape
   • (Optional) Choose viewOption for sorting preference
   • (Optional) Set searchGroupKeyword and searchGroupYear for filtered searches
   • (Optional) Set onlyPostsNewerThan to filter by date

3. Run the Actor: Click "Start" and monitor the logs for progress

4. View Results:

   • Results are streamed to the dataset in real-time
   • View in the OUTPUT tab
   • Export as JSON, CSV, or other formats as needed

Example Input

{
"startUrls":[
"https://www.facebook.com/groups/germtheory.vs.terraintheory"
],
"resultsLimit":100,
"viewOption":"RECENT_ACTIVITY",
"searchGroupKeyword":"a",
"searchGroupYear":"2024",
"onlyPostsNewerThan":"2 months"
}

Important Notes

• Public Groups Only: Only public Facebook groups can be scraped without authentication
• Search Limitations: Without logging in, search functionality is very limited. Use single or double letters for best results
• Proxy Policy: The actor always uses residential proxy and will automatically retry until your data demand is fulfilled
• Real-time Streaming: Results are saved to the dataset as they are extracted, not at the end
• Date Filtering: Date filters are applied client-side after extraction
• Rate Limiting: The actor includes anti-blocking delays between requests

Support

For custom solutions, feature requests, or technical support, please contact: 📧 dev.scraperengine@gmail.com

Technical Details

• Automatic Discovery: The actor automatically extracts required GraphQL parameters (doc_id, node_id, end_cursor) from Facebook's HTML and JavaScript
• Pagination: Uses cursor-based pagination to navigate through group feeds
• Error Handling: Includes retry logic and fallback mechanisms for robust scraping
• Data Normalization: All extracted data is normalized to a consistent structure matching the output schema