LinkedIn Hook Extractor

Paste a viral LinkedIn post URL. Get back: which hook formula it uses, the exact structure, why it worked, and a blank template mapped to your topic.

When to use

• User finds a viral post they want to study
• User wants to replicate a specific creator's pattern
• Before linkedin-post-writer to seed a draft with a proven structure

Input

A LinkedIn post URL (any type: activity, share, ugcPost).

Output

• Formula identified (F1-F20 from ../../references/hook-formulas.md) with confidence score
• Structural breakdown:
  • Hook lines (first 210 chars)
  • Body architecture (sections + what each does)
  • Close pattern
  • Reaction-triggering devices (numbers, named entities, vulnerabilities)
• Why it worked psychologically
• Blank template filled with slot markers matched to the original, ready for the user's voice
• Cautions: anything in the original post that would fail 2026 audit (em dashes above the cap, AI vocab, outdated tactics), plus the 2026 reach-note flags from ../../references/hook-formulas.md: a question as line 1, a "Here's what/how" or "Stop X, start Y" opener, a "The result?" / "Plot twist:" bridge, an unpaid curiosity gap, "comment X to get Y" bait, or announced candor with no dated fact. A viral source post may have used these; the template should not copy them.

Steps

1. Parse URL. lib.url_parser.parse_linkedin_url → post_urn.
2. Fetch post body. If APIFY_TOKEN is set, call lib.ApifyClient.fetch_post(url). Otherwise ask the user to paste the text.