facebook-page-posts

# Facebook — Page Posts Scraper > Facebook page URL → list of posts with full engagement metrics and text references ## Language All process output to user (progress updates, process notifications) must be in English. ## Objective Extract posts from a public Facebook Page timeline, including post content, engagement counts, reaction breakdowns, and text references (hashtags/links). ## Prerequisites - The target Facebook page 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 check: - User avatar or name visible in top right → logged in, continue - Login button visible → not logged in, inform the user and assist with login User refuses or cannot log in → terminate execution. ## Capability Components > This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. JS code is encapsulated in Python files under the `sc...