This n8n workflow is designed to automate the collection and analysis of YouTube video data, including video details and comments, to generate insightful reports for content creators. The process begins with setting workflow variables such as API keys and video IDs, then constructs dynamic API URLs for fetching video metadata and comments from YouTube. Using HTTP request nodes, it retrieves the necessary data, which is then merged and summarized to create a comprehensive overview.
Further, the workflow leverages AI to analyze comments for sentiment, recurring themes, and engagement drivers, providing actionable insights into viewer preferences and pain points. The analysis results are compiled into a detailed report, formatted in Markdown, converted to HTML, and ultimately saved to Google Drive. Additionally, the workflow can send the report via email, making it a complete solution for automating YouTube channel performance review and content strategy planning.
Ideal use cases include YouTube channel management, content optimization, audience engagement analysis, and competitive benchmarking. This automation helps creators save time, gain data-driven insights, and improve their content based on real audience interactions.
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