Welcome to the "Bangalore Chain Restaurants: Ratings, Reviews, Categories, and Locations" dataset! This comprehensive collection provides valuable insights into the dynamic restaurant landscape of Bangalore, India. Whether you're a data enthusiast, a foodie seeking the best dining spots, or a researcher investigating restaurant trends, this dataset is a valuable resource.
Dataset Overview:
This dataset contains information on various chain restaurants operating in Bangalore, showcasing a diverse array of food categories and sub-categories. The data includes key metrics such as ratings, review counts, as well as geographical data comprising latitude and longitude coordinates.
Data Collection Process:
Data Source Selection: Google Maps was chosen as the primary data source due to its comprehensive coverage of restaurants and its accessibility for users.
Web Scraping: Automated web scraping tools were employed to systematically navigate through Google Maps and extract data from multiple pages. The scraper was programmed to follow links, access individual restaurant pages, and extract specific details.
Data Extraction: Key data points, including restaurant names, ratings, review counts, food categories, sub-categories, latitude, and longitude, were extracted from each restaurant's page.
Data Cleaning: The extracted data was subjected to a rigorous cleaning process to handle missing values, remove duplicates, and ensure uniformity in formatting. Cleaning also involved standardizing categories and sub-categories for consistency.
Geocoding: Geocoding was performed on the restaurant addresses to derive latitude and longitude coordinates. This step facilitated precise geospatial analysis of the restaurants' locations.