Youtube outlier detector (find trending content based on your competitors)

[Video explanation](https://www.youtube.com/watch?v=pIfT9e-zPO0)

This n8n workflow helps you identify trending videos within your niche by detecting outlier videos that significantly outperform a channel's average views. It automates the process of monitoring competitor channels, saving time and streamlining content research.

Included in the Workflow

- Automated Competitor Video Tracking Monitors videos from specified competitor channels, fetching data directly from the YouTube API.

- Outlier Detection Based on Channel Averages Compares each video’s performance against the channel’s historical average to identify significant spikes in viewership.

- Historical Video Data Management Stores video statistics in a PostgreSQL database, allowing the workflow to only fetch new videos and optimize API usage.

- Short Video Filtering Automatically removes short videos based on duration thresholds.

- Flexible Video Retrieval Fetches up to 3 months of historical data on the first run and only new videos on subsequent runs.