Automated YouTube Video Summarization and Sharing Workflow

This n8n workflow automates the process of monitoring a YouTube channel for new videos, extracting detailed metadata, generating concise summaries using AI, and sharing these summaries across platforms with human oversight. It begins by monitoring a YouTube RSS feed for new videos, then extracts the video ID from each RSS item. Using this ID, it fetches comprehensive video metadata including the title, description, and publish date from YouTube’s Data API.

Subsequently, the workflow employs an AI-powered agent to generate a brief, readable summary of the video description. The summarized data, along with key metadata, is logged into a Google Sheet for record-keeping. To ensure quality control, the workflow sends the summary to a Slack channel where a human can review and approve or reject it. Once approved, the final summary is published on a Discord channel, thus creating a smooth, automated content curation pipeline that combines AI efficiency with human oversight.

Practical use cases include content creators, social media managers, or marketing teams wanting to keep track of new videos on specific channels, generate summaries for sharing, and maintain content standards with minimal manual effort.