AI Agents
Extract YouTube video data and store anonymously in Airtable
13 nodes
287
154
Scheduled trigger
Workflow Description
A scheduled automation that periodically retrieves video information from YouTube and stores it in an Airtable database. The workflow processes raw data, extracts key fields, and saves organized records, creating a searchable archive of video content without exposing user identity.
How it works
- 1.Execute the workflow on a predetermined schedule
- 2.Fetch video data from YouTube using API requests
- 3.Extract and structure relevant information from raw responses
- 4.Save processed records to designated Airtable table
Use cases
- Build an automated inventory of YouTube channel videos with titles, links, and publication dates
- Maintain a private, organized library of video content for research or monitoring purposes
Requirements
- Active YouTube Data API key with appropriate permissions
- Airtable account with pre-configured table schema to receive video data
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Airtable
Twitter/X
Details
Trigger
Scheduled trigger
Nodes
13
Apps
2
Views
287
Downloads
154
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (13)
/
Get video transcript
HTTP Request
Get Video ID
Code
Combine Transcripts
Code
Schedule Trigger
Schedule Trigger
Airtable
Airtable
Get Full Transcript
Set
Get All Transcripts
Set
Get Main Idea & Key Takeaways
Set
Extract detailed summary
Information Extractor
Update Airtable
Airtable
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note