Monitor YouTube channels and publish VideoDB AI summaries to Notion
UnknownWhat this workflow does
This workflow has 15 nodes and runs on RSS Feed events. Along the way it connects Notion and Videodb (community).
How it runs
Trigger: On RSS Feed events.
- Upload Video to VideoDB (Video Db): upload
- Wait: pauses before continuing
- Poll Upload Status (HTTP Request): calls an HTTP API
- Is Upload Complete (If): checks a condition and branches into true / false
- Index Spoken Words (Video Db): index spoken words
- Wait: pauses before continuing
- Poll Indexing Status (HTTP Request): calls an HTTP API
- Is Indexing Complete (If): checks a condition and branches into true / false
- Get Video Transcript (Video Db): get transcript
- Generate AI Digest (Video Db): generate text
…plus 4 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that @videodb/n8n-nodes-videodb is verified or supports 3.0 (used in Upload Video to VideoDB, Index Spoken Words, Get Video Transcript).
Nodes used (6)
- RSS Feed Trigger
n8n-nodes-base.rssFeedReadTrigger - Video Db
@videodb/n8n-nodes-videodb.videoDb - Wait
n8n-nodes-base.wait - HTTP Request
n8n-nodes-base.httpRequest - If
n8n-nodes-base.if - Notion
n8n-nodes-base.notion
From the author
This n8n template demonstrates how to monitor YouTube channels and create AI-generated summaries in Notion. It helps you build a searchable video knowledge base without watching every new upload manually. Who’s it for Research teams tracking industry content…