Interactive Youtube Data Harvesting Using Streamlit and Cloud Technologies

Authors- S. Ajay, Professor Dr. S. Prasanna

Abstract--This paper presents an interactive and scalable platform designed for harvesting and analyzing YouTube data using a combination of modern web and cloud technologies. The system integrates the YouTube Data API to collect real-time information about channels and videos, including performance metrics such as views, likes, comments, and subscriber counts. Developed using Python and Streamlit, the platform offers an intuitive and interactive dashboard for data exploration, enabling users to analyze engagement metrics, publishing trends, and content popularity with ease. Overall, this project provides a comprehensive, secure, and interactive environment for YouTube data analytics, making it suitable for content creators, marketers, and researchers alike.

DOI: /10.61463/ijset.vol.13.issue2.435