Development of a software module for collecting and processing media playback statistics using APIS

Abstract

This paper presents the results of the development of a software module for collecting and processing statistical data from open APIs of music platforms Spotify and YouTube. The main goal of the research was to create a tool for automated collection of metadata about tracks and videos, their processing and analysis of the popularity of musical content. The module allows you to obtain up-to-date information about the number of listenings, likes, genres, duration of compositions, etc. The statistical analysis revealed characteristic trends in the dynamics of content popularity, as well as correlation between user activity on different platforms. The test results confirmed the stability of the system and its suitability for processing large amounts of data. The results obtained can be used to build analytical systems, predict trends and study user behavior in the digital music environment.