How to Scrape Popeyes Restaurant Locations USA for Smarter Delivery Route Planning in QSR Chains?

In the fast-paced Quick Service Restaurant (QSR) industry, precision in delivery route planning isn’t a luxury—it’s a necessity. For chains like Popeyes, which saw tremendous growth in the U.S. market, optimizing delivery routes based on real-time location data can significantly improve customer satisfaction and operational efficiency. As of 2025, Popeyes operates over 3,800 locations in the U.S., a sharp rise from 3,300 in 2020, marking a consistent annual growth of ~5%. To leverage this growth, QSR chains and food delivery startups are increasingly turning to location intelligence solutions to improve logistical planning. One of the most efficient ways to do this is to Scrape Popeyes restaurant locations USA to access structured, up-to-date geographic data. In this blog, we explore how delivery teams can use this scraped data to create smarter routes, reduce fuel consumption, and increase delivery speed—all while staying ahead of the competition.