This case study highlights how we successfully Scrape Fall Food Preferences from Uber Eats & DoorDash USA to uncover regional and seasonal eating patterns. Our team deployed targeted scraping bots to monitor menu updates, limited-time offers, and order frequency across major U.S. cities during the fall season. The collected data revealed rising trends in pumpkin-flavored desserts, hearty soups, and seasonal coffee variations.