Youtube Outlier Detector (Find trending content based on your competitors)

Video explanation 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

Help me set up the n8n workflow "Youtube Outlier Detector (Find trending content based on your competitors)" (https://n8n.io/workflows/2903). It uses: HTTP Request, Postgres, YouTube, Code. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.