Extraction of Data from Mass Media Web Sites
Alexander Yatskov, Maksim Varlamov, Денис Турдаков · Programming and Computer Software · 2018
Abstract To understand the current state and dynamics of the development of the Internet information space, fast tools for extracting data for mass media sites that have a large degree of coverage are needed. However, by no means all sites provide data syndication in the RSS format, and the development of specialized tools for extracting data from each Web site is a costly procedure. In this paper, methods for automatic extraction of news texts from arbitrary mass media sites are proposed. Due to classification of Web page types and the subsequent grouping of their URLs, the quality of extracting news texts is improved. A strategy for traversing a site and detecting the pages containing hyperlinks to news pages is proposed. This strategy decreases the number of requests and reduces the site load.