一种两阶段过滤的Android应用市场爬虫工具

t present, the Android operating system occupies an absolute dominant position in the mobile phone operating system market, and its openness brings convenience to users while also providing the soil for the growth of various malicious Android applications. In order to be able to perform necessary monitoring and detection services on the hundreds of existing application markets that provide Android application download services on the market, a complete crawler process is required to crawl these Android applications. This paper proposes a two-stage filtering scheme to eliminate noise in the crawling process. This scheme is based on URL path length analysis filtering and rule matching filtering methods, which can significantly reduce the overall consumption of conventionaResearch of a two-stage filtering Mobile App store Crawlerl regular expression filtering methods. Through experimental verification, the expected results have been achieved.