This comprehensive tutorial walks users through leveraging the Google Data API and Python within Google Colab to perform in-depth YouTube channel analysis. The process begins by guiding users to the Google Cloud Console to enable the YouTube Data API v3 and secure an API key. This key is the credential needed to access YouTube’s data.
The second part of the tutorial demonstrates the power of AI-assisted coding in Google Colab. Instead of manually writing code, users utilize an AI assistant to generate the necessary Python scripts via simple prompts. The first script is generated to take a channel’s handle (like the one for Microsoft Power BI) and retrieve its unique Channel ID. Subsequent AI-generated scripts use this Channel ID and the API key to access and pull a comprehensive list of all the channel’s videos, including statistics such as views, likes, and comments. This raw data is then structured into a JSON file for storage. Finally, the AI generates the analysis and visualization code, quickly producing data analysis like top 10 videos by views/likes and visualizations (e.g., video view distribution, yearly video count) for immediate insight into the channel’s performance.
#YouTubeAPI #Python #GoogleColab #DataAnalysis #AICoding #ChannelStatistics #DataVisualization