🎬 Generate YouTube chapter timestamps with GPT and SupaData transcripts
⚡ 148 views · 🎬 Content Creation & Video
💡 Pro Tip — YouTube’s API quotas can be a bottleneck when you’re pulling data at scale. ScraperNode is a community node with dedicated scrapers for channels, videos, and comments — no quota limits, just structured data.
Description
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 creators who want every video to include chapter markers without doing it manually.
Good to Know
- SupaData extracts full transcripts from YouTube videos via URL.
- The AI chapter generator converts long transcripts into formatted timestamps with short titles.
- This workflow edits the existing video description and appends the chapters to the bottom.
How It Works
- The RSS Feed Trigger detects new uploads from your YouTube channel.
- The workflow checks Airtable to prevent duplicate processing.
- Transcript is fetched using SupaData API.
- The total video duration is extracted from the transcript.
- AI is prompted to generate well-formatted chapter timestamps.
- The existing description is fetched from YouTube.
- The chapters are appended and pushed back via the YouTube API.
How to Use
- Start with the Manual Trigger to test the setup.
- Replace it with the RSS Trigger once you’re ready for automation.
- Chapters are added only if the video hasn’t been processed before.
Requirements
- YouTube OAuth2 credentials in n8n
- SupaData API Key
- Airtable account (for optional deduplication logic)
Customizing This Workflow
- Change the chapter format, or instruct the AI to use emojis, bold titles, or include sections like “sponsor” or “Q&A”.
- Replace the RSS Trigger with a webhook if using a different publishing process.
🔗 Nodes Used
Airtable, HTTP Request, YouTube, AI Agent, OpenAI Chat Model, RSS Feed Trigger
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File