Extracting Reviews of Mobile Applications from Google Play Store

Abstract

Nowadays, there are huge numbers of mobile applications coming in the market. Many of these applications provide similar functionality and are available from different unknown vendors. Users are not aware about the risks and malfunctions related to the applications and hence end up downloading an inappropriate application. Thus classification of the applications has become an important aspect. This classification can be done with the help of extracting some data and doing analysis on that data. Nowadays reviews have become an asset for decision making purpose for the users using these mobile applications. Thus classification of the application can be done on the basis of analysis of the reviews. In this paper we are extracting the reviews for various mobile applications using crawling and scraping process and also the use of Json and Jsoup has been discussed.