Web Scraping
Playstore Scraping
Objective
Efficiently execute a Play Store data scraping pipeline, leveraging Django, Scrapy, RabbitMQ, and data cleaning expertise to create a comprehensive, reliable database of app ecosystem insights.
About the Project
A data engineering project that extracts, processes, and stores in-depth information about games and applications from the Google Play Store. The solution seamlessly integrates Django, Scrapy, RabbitMQ, and a robust data cleaning pipeline to ensure the quality and integrity of the harvested data.
Powered by Scrapy spiders, the system meticulously gathers app titles, descriptions, user ratings, download statistics, and more. Integrated with Django, the project establishes a data storage architecture that accommodates diverse data types and relationships.
RabbitMQ orchestrates seamless communication between components, facilitating asynchronous processing and optimizing pipeline speed and reliability. A meticulous data cleaning pipeline ensures that stored data is not only vast but also pristine.