The Ratebeer Scrapper project involves developing a web scraper to collect and analyze beer ratings from the Ratebeer website. The scraper extracts detailed information about beers, including ratings, reviews, and other relevant data, and compiles it into a structured format for further analysis.

  • Web Scraping: Utilizes Python libraries like BeautifulSoup and Selenium to scrape data from the Ratebeer website.

  • Data Processing: Cleans and structures the scraped data using Pandas for easy analysis.

  • Analytics: Generates insights and visualizations based on the collected data.

Client Goals
  • Develop a web scraper to extract beer ratings and reviews from Ratebeer.

  • Process and store the extracted data in a structured format.

  • Provide insights and analytics based on the collected data.