This n8n workflow automates the process of researching trending YouTube videos based on user-inputted search terms. It fetches bulk data about videos, analyzes engagement metrics, scores their performance, and logs everything into Google Sheets for easy review. The workflow starts with a form trigger where users specify their search term, preferred video length, and number of videos to analyze. It then uses YouTube API requests to gather video IDs, detailed video statistics, and channel information. A custom scoring algorithm evaluates each video’s engagement rate and assigns appropriate performance labels, such as ‘Viral’ or ‘Dead.’ All collected data, including thumbnails, video links, and performance insights, are automatically appended into a Google Sheet for comprehensive analysis and tracking, making it ideal for content creators, marketers, and strategists aiming to identify viral content quickly.