Automated Web Scraping of Comics and Anime Platforms for Content Aggregation

Abstract

This paper discusses the development and application of Web Scraping Automation in aggregating and combining data on manga and anime available on online platforms. The exponential quantity of digital information generated within a single day, whether for fandom or research, prevents them from receiving accurate, up-to-date information relating to matters like release dates or times, running chapters of manga, episodes of anime, or critique reviews. One efficient way of automation in the retrieval of these data is through web scraping, not as a method for extracting information but as a technique that gives access to extensive databases for purposes of content analysis and discovery, aside from real-time updates. This automated web-scraping goes about handling manga and anime content search and arrangement by removing the required handling of manual data collection. Through this automated process, the system would become a depository that researchers, content curators, and anime enthusiasts can draw from, giving it the most contemporary well-organized representation of data.