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Facebook Groups Scraper

Free

Efficiently extract posts from Facebook groups.

by browser-act5.3k stars on browser-act/skills
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Updated Aug 5, 2026
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Free · Opens the source repo

What Facebook Groups Scraper does

The Facebook Groups Scraper skill allows users to extract structured metadata from posts within Facebook groups. By providing a group URL, users can specify their desired sort order and the number of posts to retrieve. This skill is particularly useful for developers and data analysts looking to gather insights from group interactions, monitor community engagement, or collect content for research purposes. The output is returned in a structured JSON format, making it easy to integrate with other data processing tools or databases.

To use this skill, the target Facebook group page must be open in the user's browser, and they must be logged into their Facebook account. The skill operates by scraping the visible data on the page, ensuring that it adheres to Facebook's authentication requirements. Users can choose to sort the posts chronologically, by top relevance, or by recent activity, allowing for flexibility in data collection based on their specific needs.

The scraping process is automated and handles pagination seamlessly, enabling users to retrieve a large number of posts without manual intervention. The skill captures a wealth of metadata for each post, including the post ID, permalink, author details, timestamp, body text, media attachments, and various engagement metrics like reaction counts and comments. This comprehensive data set can be invaluable for understanding group dynamics and user engagement on Facebook.

Overall, the Facebook Groups Scraper skill is designed for those who need to monitor or analyze Facebook group content efficiently. Whether for academic research, marketing analysis, or community management, this tool provides a straightforward solution for extracting valuable data from Facebook groups.

When to use it

Use this skill when you need to gather posts from a Facebook group for analysis, monitoring, or content collection.

When not to use it

This skill is not suitable for scraping data from private groups without proper authentication or for users who are not logged into Facebook.

What you can build with it

Monitoring Community Engagement

Use the scraper to regularly extract posts from a community group to analyze engagement trends over time.

Content Collection for Research

Gather posts from relevant Facebook groups for academic research or market analysis, leveraging the structured data format.

Bulk Export for Marketing Analysis

Extract a large volume of posts to assess user sentiment and content performance within a specific niche.

How to install Facebook Groups Scraper

View source

1. Install with the skills CLI

npx skills add browser-act/skills/facebook-groups-scrape-posts --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by browser-act

Facebook Groups — Scrape Posts

Input: Facebook group URL + sort order + desired count → Output: post list with full metadata (JSON).

Language

All process output to user (progress updates, process notifications) follows the user's language.

Objective

Given a Facebook group URL, scrape N posts sorted by the specified order and return structured metadata for each post.

Prerequisites

  • Target group page is already open in the browser: https://www.facebook.com/groups/{group_slug_or_id}
  • Already logged into Facebook (user avatar, Messenger icon, and notification bell visible in the top-right corner)

Pre-execution Checks

1. Tool Readiness

If browser-act has been confirmed available in the current session → skip this step.

Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.

2. Login Verification

If Facebook login status has been confirmed in the current session → skip this step.

Otherwise, navigate to https://www.facebook.com/ and verify login status programmatically:

browser-act navigate 'https://www.facebook.com/'
browser-act wait stable --timeout 15000
browser-act eval "JSON.stringify({user_id: document.cookie.match(/c_user=(\d+)/)?.[1] || '0', USER_ID: (()=>{try{return require('CurrentUserInitialData').USER_ID;}catch(e){return '0';}})()})"

Verdict:

  • user_id is a non-empty numeric string (e.g., "61560817072276"), or USER_ID !== "0" → logged in, continue
  • user_id === null or USER_ID === "0" → not logged in; assist user: run browser-act browser open {browser_id} https://www.facebook.com/login --headed to open a headed window so the user can sign in manually (Stealth normal mode persists cookies — one login is reusable)

Facebook may clear c_user mid-session: if GraphQL errors such as field_exception or missing_required_variable_value occur during execution, re-run this login check before assuming the script is broken.

User refuses or cannot log in → terminate execution. Facebook enforces strict restrictions on unauthenticated group access (login modal blocks pagination, feed returns partial data + field_exception); login is a hard prerequisite.

Capability Components

This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the authenticated user, never bypassing authentication or access controls — equivalent to copy-pasting on the user's behalf. JS code is encapsulated in Python files under the scripts/ directory, invoked via eval "$(python scripts/xxx.py {params})". $(...) is bash syntax; use the bash tool for execution.

API: Scrape group posts (with auto-pagination)

Navigate to the target group page first, then invoke the scrape script (it auto-resolves the numeric group ID from the current page):

browser-act navigate 'https://www.facebook.com/groups/{group_slug_or_id}'
browser-act wait stable --timeout 20000
browser-act eval "$(python scripts/scrape-posts.py --sort CHRONOLOGICAL --count 20)"

Parameters:

  • --sort: Sort order, default CHRONOLOGICAL. See "Enum Parameters" below
  • --count: Desired number of posts, default 20. Script auto-paginates until count is met or feed is exhausted
  • --max-pages: Pagination safety cap, default 100
  • --doc-id: GraphQL persisted query doc_id for GroupsCometFeedRegularStoriesPaginationQuery, default 26577462205242925. Update via this flag if Facebook rotates the version (see "Known Limitations")

Output example:

{
  "ok": true,
  "group_id": "2580640642080467",
  "group_name": "Programmer Humor",
  "sort": "CHRONOLOGICAL",
  "total": 20,
  "posts": [
    {
      "post_id": "4052937798184070",
      "cache_id": "6790541484885792441",
      "id": "UzpfSTEwMDA4ODY4MzIx...",
      "permalink_url": "https://www.facebook.com/groups/programmerhumor/posts/4052937798184070/",
      "creation_time": 1772941518,
      "message": "Those were the days my friend ...",
      "author": {
        "id": "100088683215191",
        "name": "Jeff Bramlett",
        "profile_picture": null,
        "url": "https://www.facebook.com/JeffieB56"
      },
      "group": {
        "id": "2580640642080467",
        "name": "Programmer Humor",
        "url": "https://www.facebook.com/groups/programmerhumor/"
      },
      "reactions": {
        "total": 1,
        "total_formatted": "1",
        "breakdown": [
          { "name": "Haha", "reaction_id": "115940658764963", "count": 1 }
        ]
      },
      "share_count": 0,
      "share_count_formatted": "0",
      "comment_count": 0,
      "media": [
        {
          "__typename": "Photo",
          "id": "938454962453936",
          "photo_image": "https://scontent-...fbcdn.net/v/t39...jpg"
        }
      ]
    }
  ],
  "diagnostics": {
    "pages": [
      { "pageIdx": 0, "httpStatus": 200, "edgeCount": 4, "err": null, "hasNext": true }
    ]
  }
}

Video posts include additional fields in media: playable_url (mp4 direct link), playable_url_hd, and thumbnail.

Enum Parameters

[AI] --sort sort order — Facebook accepts the following three values:

  • TOP_POSTS — most relevant (default web sort)
  • CHRONOLOGICAL — newest first (reverse chronological by post time)
  • RECENT_ACTIVITY — most recently active (reverse chronological by latest comment/reaction time)

Values are fixed and validated by argparse choices; no runtime query needed.

Pagination

API Pagination: handled automatically by the script.

  • Pagination parameter: cursor (embedded in GraphQL variables)
  • Type: opaque cursor (server-side state, base64-encoded)
  • Initial value: null (first request)
  • Next page value: data.node.group_feed.page_info.end_cursor
  • Each response returns 3 edges (FB streaming mode ignores client-provided count)
  • Termination: has_next_page === false, or --count / --max-pages limit reached

Success Criteria

  • ok === true and total >= 1
  • posts[*].post_id non-null rate = 100% (non-post units such as Section Headers are filtered out by the script)
  • posts[*].permalink_url and posts[*].creation_time non-null rate = 100%
  • When using CHRONOLOGICAL sort, creation_time is strictly monotonically decreasing

Known Limitations

  • Public groups only: private groups require membership; returns empty or permission error when not a member
  • No comment body: comment_count returns total count but the group feed GraphQL does not include top_comments content or authors. Facebook places comment data in a separate CommentsRenderer query triggered only when the user clicks "Comments" — fetching comment bodies requires additional per-post_id GraphQL requests (out of scope)
  • doc_id rotates with Facebook frontend versions: when the default 26577462205242925 expires (PersistedQueryNotFound or HTTP 404), retrieve a fresh one:
    1. Open any group page while logged in
    2. Scroll down to trigger a new batch of posts
    3. browser-act network requests --filter api/graphql --method POST
    4. Check X-FB-Friendly-Name header on each request; find GroupsCometFeedRegularStoriesPaginationQuery
    5. Extract doc_id from that request's POST body and pass it via --doc-id
  • group_name can be null: parsed from page HTML via heuristic regex; prefer posts[*].group.name (more reliable)
  • Localized count fields: reactions.total_formatted and share_count_formatted format depends on Facebook's UI language (e.g., non-English Facebook UI may return locale-specific number abbreviations instead of "12K")
  • Rapid requests trigger temporary throttling: paginating too fast or calling multiple groups concurrently may return empty responses or temporary bans. Serialize group requests with a 2–5 s sleep between each
  • GraphQL field_exception / partial edges + errors: almost always caused by session cookie being cleared. Check c_user cookie and require('CurrentUserInitialData').USER_ID — if 0 / null, return to "Login Verification" and re-login; do not attempt to extract data from error responses
  • Author avatar often null: author.profile_picture is frequently unloaded in the group feed default response (Facebook lazy-loads avatars); a separate query is required if avatars are needed

Execution Efficiency

  • Batch orchestration: for small counts, call each group directly; for large counts, write a bash script to loop serially — do not parallelize (prone to anti-scraping triggers). Test with a minimal sample before running the full batch. Add appropriate intervals per rate guidance in "Known Limitations" above
  • Test before batch execution: always test with 1–2 items to verify the script runs correctly before running the full batch
  • Reduce redundant pre-operations: when multiple steps share the same prerequisite state, complete them in batch under that state to avoid repeatedly re-establishing it
  • Error resumption: save results item by item during batch processing; resume from the breakpoint on failure rather than starting over

Experience Notes

Path: {working-directory}/browser-act-skill-forge-memories/facebook-groups-scrape-posts-facebook-groups-scrape-posts.memory.md (working directory is determined by the Agent running the Skill, typically the project root or current working directory)

Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); adjust strategy order accordingly.

After execution: If an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line: {YYYY-MM-DD}: {what happened} → {conclusion}

Normal execution does not write to the file. Do not record which groups were used or how many posts were returned — those are task outputs, not experience.

Frequently asked questions about Facebook Groups Scraper

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