n8n + YouTube Data API V3 Workflow Cleanup (Google Sheets Logic Fix)

We have an existing n8n-based YouTube Data API V3 automation workflow already built and partially working. This is NOT a build-from-scratch project. Your task is to: • Trace and fix any broken or missing links in the YouTube V3 upload / ingestion flow • Validate RAW data capture logic (no overwriting of existing records) • Identify and repair broken Google Sheets formula references • Refine weak or inconsistent scoring logic inside the sheet • Ensure the flow between VIDEO_RAW → VIDEO_SCORE → CHANNEL_SCORE works correctly • Remove duplicated or conflicting logic where necessary Scope is strictly limited to the YouTube V3 part only. No work on TTS, video generation, FFmpeg, or other pipelines. Environment: • n8n • YouTube Data API V3 • Google Sheets (formula-based scoring logic) • Existing documentation in Notion (will be provided) Deliverables: • Fully working and stable YouTube V3 workflow • Cleaned and validated Google Sheets logic • Short documentation explaining what was fixed • Screenshots + short walkthrough video (5–10 mins) Requirements: • Proven experience with n8n workflows • Experience with YouTube Data API V3 (upload + metadata logic) • Strong Google Sheets formula debugging skills • Ability to trace existing automation systems (not just build new ones) Timeline: 1–2 days Budget: $80 fixed When applying: Share links to similar n8n or API automation work. Briefly explain how you would validate RAW data integrity. Confirm you can start immediately. Only apply if you have real experience with n8n + YouTube API. Generic automation replies will be ignored.

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