Video data extraction and storage from YouTube to Postgres

• Automatically store YouTube video statistics in a database for analysis.
• Track performance metrics of videos over time to identify trends.
• Filter out short videos and irrelevant data for accurate reporting.

Initiates with a manual trigger to start the workflow. Fetches the latest video publish time from the database. Retrieves videos from YouTube based on specified criteria. Processes video data to filter out shorts and irrelevant entries. Maps the relevant data fields for storage in the database. Inserts the processed data into the Postgres database.

1. 1
   Import the workflow template into n8n.
2. 2
   Configure the Postgres database credentials.
3. 3
   Set up YouTube API credentials.
4. 4
   Adjust any necessary query parameters for video retrieval.
5. 5
   Run the workflow to start extracting and storing video data.