linkedin-hook-extractor

# 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-F16 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for the user's voice - **Cautions:** anything in the original post that would fail 2026 audit (em dashes, AI vocab, outdated tactics) ## Steps 1.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. 3. **Classify.** Match against the 16 formulas using features: - First 2 lines: anaphoric? question? confession? number-led? - Body: numbered list? dated receipts? ledger? teardown? - Close: mirror question? identity reframe? commitment? - F11-F16 cues: in-medias-res emotional scene...