Research high-performing TikTok videos from tracked accounts using Apify's TikTok Scraper. Identifies outlier content, analyzes top 5 videos with AI, and generates reports with actionable hook formulas. Use when asked to: - Find trending TikTok content in a niche - Research what's performing on TikT

TikTok Research Research high performing TikTok videos, identify outliers, and analyze top video content for hooks and structure. Prerequisites APIFY TOKEN environment variable or in .env GEMINI API KEY environment variable or in .env apify client and google genai Python packages Accounts configured in .claude/context/tiktok accounts.md Verify setup: Workflow 1. Create Run Folder 2. Fetch Content Parameters: days : Days back to search (default: 30) limit : Max videos per account (default: 50) sorting : "latest", "popular", or "oldest" (default: latest) usernames : Override accounts file with specific usernames 3. Identify Outliers Output JSON contains: total videos : Number of videos analyzed outlier count : Number of outliers found topics : Top hashtags, sounds, and keywords accounts : List of accounts analyzed outliers : Array of outlier videos with engagement metrics 4. Analyze Top Videos with AI Extracts from each video: Hook technique and replicable formula Content structure and sections Retention techniques CTA strategy See the video content analyzer skill for full output schema and hook/format types. 5. Generate Report Read {RUN FOLDER}/outliers.json and {RUN FOLDER}/video analysis.json , then generate {RUN FOLDER}/report.md . Report Structure: Focus on actionable insights. The "Top Performing Hooks" section with replicable formulas should be prominent. Quick Reference Full pipeline: Then read both JSON files and generate the report. Engagement Metrics Engagement Score : likes + (3 x comments) + (2 x shares) + (2 x saves) + (0.05 x views) Outlier Detection : Videos with engagement rate mean + (threshold x std dev) Engagement Rate : (score / followers) x 100 TikTok Specific Fields diggCount : Likes/hearts shareCount : Shares playCount : Video views commentCount : Comments collectCount : Saves/bookmarks authorFollowers : Creator's follower count musicName : Sound used in video musicOriginal : Whether sound is original

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