Analyze what a video says, not just its caption or engagement count.
Inputs
- One or more TikTok, Instagram, YouTube, Facebook, X, LinkedIn, Reddit, or Rumble post or video URLs.
- The brand, product, or research question.
- Optional comparison dimensions such as hooks, objections, proof, or creator delivery.
Workflow
- Fetch the post metadata with
scrapecreators-api. - Fetch the platform transcript when available. For YouTube, collect public sponsorship signals when relevant. If a transcript is unavailable, explicitly mark the item as caption-only; never invent spoken content.
- Preserve timestamps and speaker changes.
- Extract:
- opening hook and first payoff;
- problem, desired outcome, and audience language;
- product claims and the evidence offered;
- objections raised or answered;
- calls to action and disclosed sponsorships;
- quotable phrases, limited to short excerpts.
- Compare repeated patterns across videos. Distinguish a single creator's style from category-wide evidence.
Output
Return a table per video with source URL, platform, timestamps, hook, claims, proof, objections, CTA, sponsorship signal when available, content atoms, and confidence, followed by cross-video patterns and concrete implications for research, repurposing, or creative work.
Guardrails
- Never present an auto-transcript as perfectly accurate.
- Flag unclear brand names, numbers, ingredients, prices, and regulated claims for verification.
- Treat high engagement as a distribution signal, not proof that a claim is true or a creative caused the result.