Extract and analyze YouTube channel content with AI intelligence
Workflow Description
An intelligent automation that monitors YouTube channels, extracts video data, and processes it through OpenAI to summarize and categorize content, storing results in an organized database. Batch processing enables efficient handling of large volumes of videos with parallel workflow execution and context-aware memory management.
How it works
- 1.Activate chat trigger to communicate with the AI agent
- 2.Retrieve video metadata and content from YouTube API
- 3.Send extracted content to OpenAI for analysis and summarization
- 4.Process results in parallel batches for scalability
- 5.Store analyzed data while maintaining conversation context in memory
Use cases
- Automatically summarize YouTube channel content without manual review
- Classify and index hundreds of videos at scale using AI analysis
- Extract keywords and main topics from video transcripts and metadata
Requirements
- Active Google/YouTube API credentials with channel access permissions
- OpenAI API key with sufficient quota for model usage
- Target YouTube channel URL and proper access authorization configured
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
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 (15)
AI Agent
Agent
chat_message_received
Chat Trigger
youtube_search
Tool Workflow
openai_llm
OpenAI
window_buffer_memory
Memory Buffer Window
Sticky Note1
Sticky Note
find_video_data1
HTTP Request
get_videos1
You Tube
response1
Set
group_data1
Set
save_data_to_memory1
Code
retrieve_data_from_memory1
Code
loop_over_items1
Split In Batches
if_longer_than_3_
If
Sticky Note2
Sticky Note