Apps have increased the interaction with the world. Shopping, music, news, and dating are just a few of the things you may do on social media. If you can think of it, there's probably an app for it. Some apps are superior to others. You can learn what people like and dislike for an app by analyzing the language of user reviews. Sentiment Analysis and Topic Modeling are two domains of Natural Language Processing (NLP) that can aid with this, but not if you don't have any reviews to examine! You need to scrape and store some reviews before we get ahead of ourselves. This blog will show you how to do just that with Python code and the google-play-scraper and PyMongo packages. You have several options for storing or saving your scraped reviews. Real-Time APIs for crawling the Google Play Store is provided by google-play-scraper. It can be used to obtain: App information includes the app's title and description, as well as the price, genre, and current version. App evaluation...
Web Scraping allows us to Scrape information from web pages. In this blog, you'll learn how to perform web data scraping with Python