{"product_id":"mcdonalds-usa-locations-dataset-verified-store-locations-csv-geojson","title":"McDonald's USA Locations Dataset – Verified Store Locations (CSV, GeoJSON)","description":"\u003ch1 data-end=\"1397\" data-start=\"1121\"\u003eMcDonald's US Store Locations Data – Complete \u0026amp; Verified Dataset\u003c\/h1\u003e\n\u003cp data-end=\"1397\" data-start=\"1121\"\u003eThis dataset provides a comprehensive and up-to-date overview of all \u003cstrong data-end=\"1246\" data-start=\"1190\"\u003eMcDonald’s restaurant locations in the United States\u003c\/strong\u003e.\u003cbr data-end=\"1250\" data-start=\"1247\"\u003eIt is designed for developers, analysts, and businesses that need reliable geospatial data without the complexity of scraping or API limitations.\u003c\/p\u003e\n\u003cp data-end=\"1547\" data-start=\"1402\"\u003eAll locations are sourced and verified using \u003cstrong data-end=\"1486\" data-start=\"1447\"\u003eOpenStreetMap data via Overpass API\u003c\/strong\u003e, then cleaned, standardized, and enriched for immediate use.\u003c\/p\u003e\n\u003cp data-end=\"1573\" data-start=\"1552\"\u003eEach record includes:\u003c\/p\u003e\n\u003cul data-end=\"1739\" data-start=\"1578\"\u003e\n\u003cli data-end=\"1625\" data-start=\"1578\" data-section-id=\"13ji6pj\"\u003eAccurate latitude and longitude coordinates\u003c\/li\u003e\n\u003cli data-end=\"1666\" data-start=\"1628\" data-section-id=\"1i18m9h\"\u003eStore address and location details\u003c\/li\u003e\n\u003cli data-end=\"1700\" data-start=\"1669\" data-section-id=\"7u3gfc\"\u003eBrand and location metadata\u003c\/li\u003e\n\u003cli data-end=\"1737\" data-start=\"1703\" data-section-id=\"ibtmzn\"\u003eOpening hours (when available)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-end=\"1798\" data-start=\"1742\"\u003eThe dataset is structured for seamless integration into:\u003c\/p\u003e\n\u003cul data-end=\"1958\" data-start=\"1803\"\u003e\n\u003cli data-end=\"1834\" data-start=\"1803\" data-section-id=\"ns7b3q\"\u003eGIS software (QGIS, ArcGIS)\u003c\/li\u003e\n\u003cli data-end=\"1883\" data-start=\"1837\" data-section-id=\"p059iy\"\u003eData analysis workflows (Python, R, Excel)\u003c\/li\u003e\n\u003cli data-end=\"1922\" data-start=\"1886\" data-section-id=\"151r8do\"\u003eBusiness intelligence dashboards\u003c\/li\u003e\n\u003cli data-end=\"1956\" data-start=\"1925\" data-section-id=\"1ndlr7e\"\u003eWeb and mobile applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-end=\"1985\" data-start=\"1969\" data-section-id=\"yhqpv9\"\u003eUse Cases\u003c\/h3\u003e\n\u003cp data-end=\"2018\" data-start=\"1990\"\u003eThis dataset can be used to:\u003c\/p\u003e\n\u003cul data-end=\"2291\" data-start=\"2023\"\u003e\n\u003cli data-end=\"2068\" data-start=\"2023\" data-section-id=\"2kohiu\"\u003eBuild interactive maps and store locators\u003c\/li\u003e\n\u003cli data-end=\"2116\" data-start=\"2071\" data-section-id=\"at6jai\"\u003ePerform proximity and geospatial analysis\u003c\/li\u003e\n\u003cli data-end=\"2174\" data-start=\"2119\" data-section-id=\"1lqslvv\"\u003eAnalyze market coverage and expansion opportunities\u003c\/li\u003e\n\u003cli data-end=\"2232\" data-start=\"2177\" data-section-id=\"4i2fzj\"\u003eCombine with demographic, traffic, or mobility data\u003c\/li\u003e\n\u003cli data-end=\"2289\" data-start=\"2235\" data-section-id=\"qihcbn\"\u003eEnrich internal tools or customer-facing platforms\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-end=\"2326\" data-start=\"2302\" data-section-id=\"1aiy4fq\"\u003eUpdates \u0026amp; Quality\u003c\/h3\u003e\n\u003cp data-end=\"2422\" data-start=\"2331\"\u003eThe dataset is regularly updated to reflect real-world changes.\u003cbr data-end=\"2397\" data-start=\"2394\"\u003eEach download includes:\u003c\/p\u003e\n\u003cul data-end=\"2535\" data-start=\"2427\"\u003e\n\u003cli data-end=\"2467\" data-start=\"2427\" data-section-id=\"1ms2qfy\"\u003eA structured dataset (CSV or GeoJSON)\u003c\/li\u003e\n\u003cli data-end=\"2487\" data-start=\"2470\" data-section-id=\"w73vfn\"\u003eMetadata file\u003c\/li\u003e\n\u003cli data-end=\"2533\" data-start=\"2490\" data-section-id=\"6xdywq\"\u003eChangelog with updates and improvements\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-end=\"2560\" data-start=\"2546\" data-section-id=\"m2nk5g\"\u003eLicense\u003c\/h3\u003e\n\u003cp data-end=\"2711\" data-start=\"2565\"\u003eThis product includes data from OpenStreetMap contributors, licensed under the Open Database License (ODbL) 1.0.\u003cbr data-end=\"2680\" data-start=\"2677\"\u003e© OpenStreetMap contributors.\u003c\/p\u003e\n\u003cp data-end=\"2711\" data-start=\"2565\"\u003e\u003cem data-end=\"2844\" data-start=\"2727\"\u003eSave time and skip complex data collection — get instant access to a ready-to-use McDonald’s USA locations dataset.\u003c\/em\u003e\u003c\/p\u003e","brand":"McDonald’s","offers":[{"title":"United States \/ CSV","offer_id":57167726608715,"sku":"UFMC84920147","price":30.0,"currency_code":"EUR","in_stock":true},{"title":"United States \/ GeoJSON","offer_id":57167726641483,"sku":"UFMC84920148","price":30.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/1936\/0587\/files\/Gemini_Generated_Image_v23tc4v23tc4v23t.png?v=1765221648","url":"https:\/\/www.datalocatr.com\/products\/mcdonalds-usa-locations-dataset-verified-store-locations-csv-geojson","provider":"DataLocatr","version":"1.0","type":"link"}