facebook-page-posts

To extract Facebook page posts with engagement data, provide a public page URL and the skill resolves it to a numeric page ID, fetching posts with likes, comments, and shares via paginated calls. It returns structured JSON containing post content, timing, and media metadata.

Yes, you can scrape public Facebook page timelines without manual scrolling. The skill uses cursor-based pagination to fetch posts in batches, supporting scalable collection of timeline data including reactions, comments, shares, and text references like hashtags.

Extracting Facebook posts from a public page returns structured JSON data fields including post text, creation time, author info, engagement counts for likes, comments, and shares, top reaction breakdowns, text references like hashtags and external links, and media metadata.

Facebook post scraping with this skill works only with publicly accessible Facebook Pages. It requires a public page URL opened in a browser to resolve the page ID and fetch timeline posts, and does not support extracting data from private profiles or restricted content.

To handle pagination when collecting large volumes of Facebook page posts, the skill applies cursor-based navigation to fetch posts in scalable batches. This approach uses GraphQL-like calls to retrieve sequential timelines without hitting manual loading limits.

Facebook page data extraction may return incomplete post metrics if the page is not fully public or if browser access is restricted. The skill relies on discovering page IDs and fetching via GraphQL-like calls, requiring fully accessible public timelines to capture all engagement and media metadata.