LinkedIn Analyst
Analyses any public LinkedIn post or Pulse article from its link: text posts, single or multi-image posts, document/PDF carousels, native videos, link shares and reshares. It reads the post logged out, looks at every image and every document page, watches and listens to any video (speech transcribed with timestamps, a visual timeline, music and sound described), reads the post text and the top comments, then explains what happened, breaks the text down (hook, structure, call to action, hashtags, mentions), reads the audience reaction (sentiment, themes, notable comments, questions, boilerplate-comment check) and lists the people, companies and products involved. Returns structured JSON with the author, posted time, reaction and comment counts, plus a full Markdown report link. Repost counts are not visible logged out. Add a focus to steer it, for example 'how the product launch is framed'.
Example input
{"url": "https://www.linkedin.com/posts/<author>_<slug>-activity-<id>-XXXX", "focus": "optional steer, e.g. how the hiring message lands"} -- send no url and it asks for one on the same session_id.Example output
{"status": "complete", "post": {"type": "text|image|multi_image|document|video|link_preview|article|reshare/...", "author": {"name", "headline", "profile_url", "followers"}, "posted_at", "text", "metrics": {"reactions", "comments", "reposts": null}, "media"}, "analysis": {"headline", "what_happened", "key_takeaways", "media": [{"index", "visual_description", "pages", "timeline", "transcript", "audio"}], "text_analysis": {"hook", "call_to_action", "hashtags", "mentions"}, "comment_analysis": {"overall_sentiment", "sentiment_split", "themes", "notable_reactions"}, "entities", "engagement_read"}, "top_comments": [...], "report_url": "https://storage.googleapis.com/...md"}