Generate Youtube video metadata (timestamps, tags, description, ...)
Content & publishing workflow for n8n with 15 active steps. Starts with RSS Feed Trigger. Uses Mistral AI. Integrations include Mistral AI, YouTube.
What it does
15 active nodes · Starts with RSS Feed Trigger.
Steps in the template include:
- Mistral Cloud Chat Model (Mistral Cloud Chat Model)
- No Operation, do nothing (No Operation, do nothing)
- Structured Output Parser (Structured Output Parser)
- No Operation, do nothing1 (No Operation, do nothing)
Nodes and integrations
- Mistral Cloud Chat Model
- No Operation, do nothing ×2
- Structured Output Parser
- HTTP Request ×3
- If ×3
- Wait
- Basic LLM Chain
- Code
- RSS Feed Trigger
- YouTube
See the author’s step names
- Mistral Cloud Chat Model (Mistral Cloud Chat Model)
- No Operation, do nothing (No Operation, do nothing)
- Structured Output Parser (Structured Output Parser)
- No Operation, do nothing1 (No Operation, do nothing)
- Check IF Finished (HTTP Request)
- Get DataSet (HTTP Request)
- Scrape Video (HTTP Request)
- If Finished (If)
- Wait (Wait)
- If Recent (If)
- If Not Generated (If)
- Generate Description (Basic LLM Chain)
- Format (Code)
- Trigger New Video Posted (RSS Feed Trigger)
- Update YTB Video (YouTube) — video / update
Accounts and credentials
- Mistral AI access
- YouTube
Credential types in the graph: mistralCloudApi, youTubeOAuth2Api
Check the HTTP request steps for any additional service accounts or API keys.
AI models and swaps
Mistral AI · Chat
mistral-large-latest in Mistral Cloud Chat Model. Potentially swappable with a compatible n8n chat model node. Match structured output before testing.
Resource information
- Credit basis
- Author listed by n8n
- Pricing
- Template access shown on n8n
- License
- Not specified
- Last record update
- Nov 5, 2026