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Originally published as https://reurl.cc/019WL9
The Apple App Store is a well-known platform with more than two million apps to offer exclusively for Apple users. These apps are known to have high-security features. In today’s scenario, people heavily depend on gadgets and their functionalities to perform important day-to-day services. The App Store contains apps for a multitude of functions to cater to the needs of people around the globe.
Information management seems to be a cause for concern. Web scrapers are used to obtain reviews and details of apps in the app store. In this article, we shall discuss an easy way to scrape Apple App Store to get information related to the apps. The extraction process can be done without the help of coding and the extracted data can be exported to a text file, .csv and .xlsx format.
Why Scraping App Store
The app store has several apps of different categories like books & magazines, TV, streaming & movie, travel & food, lifestyle, and social networking, etc. These apps also contain information like reviews, ratings, number of downloads, etc. Customer feedback is vastly important for developers to improve the app. Manually reading thousands of feedback and inferring from it seems like an unrealistic approach. Hence, we need to automate the extraction and inferring process to extract any kind of useful information in a realistic timeframe.
