Extract accurate McDonald’s restaurant locations in the USA , including addresses, contacts, and hours. Get real-time data for market analysis.
McDonald’s isn’t just the world’s most iconic fast food brand — it’s a reliable signal of high foot traffic, strategic real estate, and evolving consumer behavior.
With over 13,000+ McDonald’s locations across the United States, understanding where they operate is key to identifying growth patterns, planning logistics, analyzing competition, and making informed business decisions.
At RealDataAPI, we help you scrape real-time, accurate McDonald’s restaurant location data across the USA, delivered in structured formats like CSV, Excel, JSON, or via live API access — no scraping experience required.
Think of McDonald’s as a retail anchor — wherever it sets up shop, consumer activity follows. From highways and airports to dense urban centers and suburban intersections, McDonald’s restaurants are deliberately placed for maximum visibility and demand.
Scraping McDonald’s U.S. store location data offers insights into:
Whether you’re in real estate, QSR (quick-service restaurant) strategy, logistics, analytics, or location intelligence, this dataset helps you understand the where and why behind one of the most influential restaurant networks in the country.
Our scraper fetches and structures the most up-to-date location data directly from McDonald’s official U.S. locator, ensuring accuracy, freshness, and depth.
Here’s what you get:
Use McDonald’s presence to identify prime areas for store openings, franchising, or competitive placement. It’s a proven way to ride the footfall wave McDonald’s helps generate.
Want to optimize last-mile delivery or plan pickup hubs near consistent customer traffic? McDonald’s store density can guide your fleet placement and routing strategies.
Target consumers near McDonald’s outlets or build heatmaps for audience profiling and high-engagement zones.
Restaurants like McDonald’s often correlate with rising commercial property value. Mapping these locations provides early signals of urban development or retail growth.
Benchmark your store distribution against McDonald’s to explore under-served markets, co-location strategies, or menu positioning in similar zones.
One of our clients — a fast-casual burger chain — used McDonald’s store location data to plan its U.S. expansion. By overlaying McDonald’s U.S. store coordinates with population density and income levels, they discovered underserved regions where consumers were hungry for alternatives. Their launch in those cities saw above-average sales performance within the first 90 days.
✅ No coding required – Just plug & play
✅ 100% accurate – Pulled directly from McDonald’s official locator
✅ Cleaned and ready to use – No broken fields or duplicates
✅ Automated delivery – via API or scheduled data drops
✅ Custom formats & filters – Need only a few states? Just ask.
✅ Dedicated support – Our experts help you customize everything
Start Now – Scrape McDonald’s Restaurant Locations in the USA
You don’t need to write a scraper, worry about proxies, or deal with messy exports. We’ve already done it — and kept it fresh.
👉 Scrape McDonald’s Restaurant Locations Data in the USA
Whether you’re a data analyst, retail strategist, or growth marketer — this data gives you the edge to move faster and smarter.
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