Agent skill · Data & Analytics

facebook-page-profile-posts

Scrapes posts from any public Facebook Page or personal Profile timeline, returning structured data including post text, author info with profile picture, engagement metrics (likes/comments/shares), full reaction breakdown (Like/Love/Wow/Haha/Sad/Angry/Care as both array and flat counts), hashtags and external links, media assets with full thumbnail URLs and dimensions, page ad library status, and collaborators. Use when user wants to scrape Facebook posts, extract Facebook page content, get Facebook post data, collect Facebook engagement stats, download Facebook posts, monitor a Facebook page

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

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

Facts
Files in the skill folder: 3
SKILL.md size: 11 KB
Bundled scripts: yes
Path: solutions/social-listening/facebook-page-profile-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 — Page / Profile Posts Scraper > Facebook page or profile URL → list of posts with full fields including media thumbnails, author profile pics, page ad library status, and flat reaction counts ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Extract posts from a public Facebook Page or personal Profile timeline, including post content, engagement counts, full reaction breakdown, media thumbnails, author profile picture, page ad library status, and text references (hashtags/links). ## Prerequisites - The target Facebook page or profile is open in the browser (e.g., `https://www.facebook.com/cern`) - User is logged into Facebook (user avatar visible in the top right) ## 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 login status for Facebook has been confirmed in the current session → skip this step. Otherwise: navigate to `https://www.facebook.com` and

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: Resolve Facebook page URL to numeric page ID
  9. API: Fetch posts from page/profile timeline
  10. Pagination
  11. Success Criteria
  12. Known Limitations
  13. Execution Efficiency
  14. Experience Notes
Ships with 2 files
  • scripts/get-page-id.py
  • scripts/get-page-posts.py
More from skills
All skills →
About this skill
What does the facebook-page-profile-posts skill do?

Scrapes posts from any public Facebook Page or personal Profile timeline, returning structured data including post text, author info with profile picture, engagement metrics (likes/comments/shares), full reaction breakdown (Like/Love/Wow/Haha/Sad/Angry/Care as both array and flat counts), hashtags and external links, media assets with full thumbnail URLs and dimensions, page ad library status, and collaborators. Use when user wants to scrape Facebook posts, extract Facebook page content, get Facebook post data, collect Facebook engagement stats, download Facebook posts, monitor a Facebook page

How do I install it?

Run `npx skills add browser-act/skills --skill facebook-page-profile-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.

Keep going