In today's digital age, the culinary landscape is increasingly reliant on online platforms for discovering dining options. Among these, Zomato stands tall as a go-to resource, offering a plethora of information about restaurants worldwide. However, for those seeking to analyze trends, build recommendation systems, or gather comprehensive data, manually collecting information from Zomato's vast database can be arduous. This is where data scraping emerges as a powerful tool, enabling users to extract and utilize data efficiently.