The dining landscape has transformed significantly over the past five years, with online platforms like TheFork becoming essential for customer reviews and restaurant ratings. Leveraging technology to extract TheFork restaurant ratings and reviews through API scraping provides businesses and analysts with structured data to monitor performance, identify trends, and make informed decisions. Coupled with Sentiment Analysis, this approach allows stakeholders to understand customer opinions, preferences, and satisfaction levels across different cuisines and locations. By aggregating data in real time, restaurants, marketers, and food tech platforms can track ratings, reviews, and emerging culinary trends efficiently. Structured datasets enable predictive insights and help optimize restaurant strategies, menu offerings, and marketing campaigns. Real-time analytics ensures that businesses can respond promptly to customer feedback, detect early trends, and maintain a competitive edge in the fast-moving restaurant industry.