Steam serves as the ultimate hub for gaming enthusiasts, offering a vast array of titles and facilitating discussions and creations within the gaming community. This project aims to fetch essential information on the latest "New and Trending" games available on the platform.
- Scrape details of top "New and Trending" games.
- Retrieve release date and year for each game.
- Obtain number of positive reviews, developer and publisher names for each game.
- Extract system requirements for each game.
- Scrape reviews for each game.
- Utilized BeautifulSoup and Scrapy libraries in Python for data scraping.
- Employed HTML parsing techniques and list comprehensions for efficient extraction of information.
- Saved scraped data in CSV format for further analysis and visualization.
Through this project, we aimed to provide gamers and industry analysts with valuable data into the latest gaming trends and facilitate informed decision-making within the gaming community.