Generate Youtube video metadata (timestamps, tags, description, ...)
Ready for 3.0What this workflow does
This AI workflow has 15 nodes and runs on RSS Feed events. Along the way it connects Mistral Cloud Chat Model and YouTube. It also calls api.apify.com over HTTP.
How it runs
Trigger: On RSS Feed events.
- If: checks a condition and branches into true / false
- Scrape Video (HTTP Request): calls api.apify.com (POST)
- Check IF Finished (HTTP Request): calls api.apify.com
- If: checks a condition and branches into true / false
- Get DataSet (HTTP Request): calls api.apify.com
- Wait: pauses before continuing
- If: checks a condition and branches into true / false
- Generate Description (Basic LLM Chain): sends a prompt to an LLM, with model: Mistral Cloud Chat Model; output parser: Structured Output Parser
- Format (Code): runs custom JavaScript code
- Update YTB Video (YouTube): update (video)
Services it uses
HTTP calls to: api.apify.com
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 (10)
- Mistral Cloud Chat Model
@n8n/n8n-nodes-langchain.lmChatMistralCloud - No Operation, do nothing
n8n-nodes-base.noOp - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - HTTP Request
n8n-nodes-base.httpRequest - If
n8n-nodes-base.if - Wait
n8n-nodes-base.wait - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Code
n8n-nodes-base.code - RSS Feed Trigger
n8n-nodes-base.rssFeedReadTrigger - YouTube
n8n-nodes-base.youTube
From the author
For Who? - Content Creators - Youtube Automation - Marketing Team --- How it works? 1 - Enter the ID of the YTB channel to trigger the workflow when a new video is posted 2 - Apify scrape the last YTB video of the channel 3 - Wait until the dataset is…