Generate YouTube chapter timestamps with GPT and SupaData transcripts
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 11 nodes and runs on RSS Feed events. Along the way it connects OpenAI Chat Model, Airtable and YouTube.
How it runs
Trigger: On RSS Feed events.
- Check Airtable (Airtable): search
- Is New Video? (If): checks a condition and branches into true / false
- Save to Airtable (Airtable): create
- Format Video ID (Edit Fields (Set)): sets 2 fields: snippet.title, id.videoId
- Fetch Transcript (HTTP Request): calls an HTTP API
- Prepare Transcript + Duration (Code): runs custom JavaScript code
- AI: Generate Chapters (AI Agent): runs an AI agent, with model: OpenAI Chat Model
- Fetch Current Description (YouTube): get (video)
- Update Description (YouTube): update (video)
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (9)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - RSS Feed Trigger
n8n-nodes-base.rssFeedReadTrigger - Airtable
n8n-nodes-base.airtable - If
n8n-nodes-base.if - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - YouTube
n8n-nodes-base.youTube
From the author
YouTube Chapter Auto-Description with AI This n8n template automatically adds structured timestamp chapters to your latest YouTube video’s description using your RSS feed, SupaData for transcript extraction, and an AI tool for chapter generation. Ideal for…