This n8n workflow automates the process of monitoring a YouTube channel for new videos, fetching detailed metadata, generating concise summaries using AI, and then publishing those summaries externally. Starting with an RSS feed trigger, it detects new videos, extracts the video ID from the URL, fetches full video details via YouTube’s API, and uses a GPT-based AI model to create a summary of the video description. The summary, along with key metadata, is logged into Google Sheets for record-keeping. Human oversight is integrated through Slack where the summary is sent for review and approval. Once approved, the summarized content is posted automatically to a designated Reddit subreddit, facilitating seamless content sharing and channel promotion. This workflow is ideal for content creators, social media managers, or marketing teams who want to keep their audience updated with minimal manual effort, while maintaining quality control.
Automated YouTube Video Summarization & Publication Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, code, googleSheets, httpRequest, reddit, rssFeedReadTrigger, slack, stickyNote |
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