In the highly competitive foodservice sector, restaurants and distributors are constantly seeking ways to optimize procurement costs without compromising on quality. A major challenge in this sector is staying updated with dynamic pricing trends for high-demand products, such as frozen foods from leading suppliers like McCain. Using modern data-driven strategies, businesses can make smarter purchasing decisions and maintain profit margins. To address this challenge, the client leveraged McCain food service B2B price comparison via data scraping through the Food Data Scraping API. This solution enabled automated extraction of real-time price data from multiple distributors, allowing restaurants to benchmark against market rates efficiently. The integration of this structured data into analytics platforms helped procurement teams track pricing trends, detect fluctuations, and negotiate better deals with suppliers. By leveraging these insights, restaurants could reduce procurement costs, enhance operational efficiency, and improve competitiveness in the foodservice market.