Agent skill · Data & Analytics

facebook-groups-scrape-posts

Scrapes posts from a Facebook group given a group URL, sort order, and desired count — returns structured post metadata including post_id, permalink, author, timestamp, body text, images/videos, reaction counts, reaction type breakdown, comment count, and share count. Use when: user wants to scrape/extract Facebook group posts, collect FB group content, harvest group data, get posts from a Facebook group, monitor Facebook group activity, bulk export group posts, facebook groups scraping, facebook-groups-scrape-posts, fetch FB group feed.

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill facebook-groups-scrape-posts --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: yes
Path: solutions/social-listening/facebook-groups-scrape-posts/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 ev

What's inside
Steps it walks through
  1. Language
  2. Objective
  3. Prerequisites
  4. Pre-execution Checks
  5. 1. Tool Readiness
  6. 2. Login Verification
  7. Capability Components
  8. API: Scrape group posts (with auto-pagination)
  9. Enum Parameters
  10. Pagination
  11. Success Criteria
  12. Known Limitations
  13. Execution Efficiency
  14. Experience Notes
Ships with 1 file
  • scripts/scrape-posts.py
More from skills
All skills →
About this skill
What does the facebook-groups-scrape-posts skill do?

Scrapes posts from a Facebook group given a group URL, sort order, and desired count — returns structured post metadata including post_id, permalink, author, timestamp, body text, images/videos, reaction counts, reaction type breakdown, comment count, and share count. Use when: user wants to scrape/extract Facebook group posts, collect FB group content, harvest group data, get posts from a Facebook group, monitor Facebook group activity, bulk export group posts, facebook groups scraping, facebook-groups-scrape-posts, fetch FB group feed.

How do I install it?

Run `npx skills add browser-act/skills --skill facebook-groups-scrape-posts --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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