{"title":"Home page","description":null,"products":[{"product_id":"mcdonalds-europe-verified-locations-dataset-csv-geojson","title":"McDonald's Europe – Verified Locations Dataset (CSV, GeoJSON)","description":"\u003cp data-start=\"1875\" data-end=\"2222\"\u003eThis dataset provides a complete, up-to-date overview of McDonald’s restaurant locations across Europe.\u003cbr data-start=\"1978\" data-end=\"1981\"\u003eAll records are sourced, structured, and verified using OpenStreetMap through Overpass API queries.\u003cbr data-start=\"2080\" data-end=\"2083\"\u003eEach location includes accurate latitude\/longitude coordinates, address attributes, brand metadata,\u003cbr data-start=\"2182\" data-end=\"2185\"\u003eand opening hours (when available).\u003c\/p\u003e\n\u003cp data-start=\"2224\" data-end=\"2395\"\u003eAll files have been cleaned, validated, and standardized for immediate use in GIS tools, data analysis,\u003cbr data-start=\"2327\" data-end=\"2330\"\u003ebusiness intelligence dashboards, or location-based applications.\u003c\/p\u003e\n\u003cp data-start=\"2397\" data-end=\"2433\"\u003eWhat you can do with this dataset:\u003c\/p\u003e\n\u003cul data-start=\"2434\" data-end=\"2629\"\u003e\n\u003cli data-start=\"2434\" data-end=\"2463\"\u003e\n\u003cp data-start=\"2436\" data-end=\"2463\"\u003eBuild maps and dashboards\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2464\" data-end=\"2490\"\u003e\n\u003cp data-start=\"2466\" data-end=\"2490\"\u003eRun proximity analysis\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2491\" data-end=\"2531\"\u003e\n\u003cp data-start=\"2493\" data-end=\"2531\"\u003eStudy regional distribution patterns\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2532\" data-end=\"2583\"\u003e\n\u003cp data-start=\"2534\" data-end=\"2583\"\u003eIntegrate locations into apps or internal tools\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2584\" data-end=\"2629\"\u003e\n\u003cp data-start=\"2586\" data-end=\"2629\"\u003eCombine with demographic or mobility data\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"2631\" data-end=\"2722\"\u003eThe dataset is updated regularly, and each download includes a changelog and metadata file.\u003c\/p\u003e\n\u003cp data-start=\"2631\" data-end=\"2722\"\u003eThis product includes data from OpenStreetMap contributors, licensed under the Open Database License (ODbL) 1.0.\u003cbr data-start=\"3245\" data-end=\"3248\"\u003e© OpenStreetMap contributors.\u003c\/p\u003e","brand":"McDonald’s","offers":[{"title":"Netherlands \/ CSV","offer_id":56553817342283,"sku":"UFMC84920141","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Netherlands \/ GeoJSON","offer_id":56553845981515,"sku":"UFMC84920142","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Belgium \/ CSV","offer_id":56553817375051,"sku":"UFMC84920143","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Belgium \/ GeoJSON","offer_id":56553846014283,"sku":"UFMC84920144","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ CSV","offer_id":56553817407819,"sku":"UFMC84920145","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ GeoJSON","offer_id":56553846047051,"sku":"UFMC84920146","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"United Kingdom \/ CSV","offer_id":57762381332811,"sku":"UFMC84920147","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"United Kingdom \/ GeoJSON","offer_id":57762381365579,"sku":"UFMC84920148","price":15.0,"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"},{"product_id":"dominos-europe-verified-locations-data-csv-geojson","title":"Domino's Europe – Verified Locations Dataset (CSV, GeoJSON)","description":"\u003cp data-end=\"2222\" data-start=\"1875\"\u003eThis dataset provides a complete, up-to-date overview of Domino's restaurant locations across Europe.\u003cbr data-end=\"1981\" data-start=\"1978\"\u003eAll records are sourced, structured, and verified using OpenStreetMap through Overpass API queries.\u003cbr data-end=\"2083\" data-start=\"2080\"\u003eEach location includes accurate latitude\/longitude coordinates, address attributes, brand metadata, and opening hours (when available).\u003c\/p\u003e\n\u003cp data-end=\"2395\" data-start=\"2224\"\u003eAll files have been cleaned, validated, and standardized for immediate use in GIS tools, data analysis,\u003cbr data-end=\"2330\" data-start=\"2327\"\u003ebusiness intelligence dashboards, or location-based applications.\u003c\/p\u003e\n\u003cp data-end=\"2433\" data-start=\"2397\"\u003eWhat you can do with this dataset:\u003c\/p\u003e\n\u003cul data-end=\"2629\" data-start=\"2434\"\u003e\n\u003cli data-end=\"2463\" data-start=\"2434\"\u003e\n\u003cp data-end=\"2463\" data-start=\"2436\"\u003eBuild maps and dashboards\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2490\" data-start=\"2464\"\u003e\n\u003cp data-end=\"2490\" data-start=\"2466\"\u003eRun proximity analysis\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2531\" data-start=\"2491\"\u003e\n\u003cp data-end=\"2531\" data-start=\"2493\"\u003eStudy regional distribution patterns\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2583\" data-start=\"2532\"\u003e\n\u003cp data-end=\"2583\" data-start=\"2534\"\u003eIntegrate locations into apps or internal tools\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2629\" data-start=\"2584\"\u003e\n\u003cp data-end=\"2629\" data-start=\"2586\"\u003eCombine with demographic or mobility data\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-end=\"2722\" data-start=\"2631\"\u003eThe dataset is updated regularly, and each download includes a changelog and metadata file.\u003c\/p\u003e\n\u003cp data-end=\"2722\" data-start=\"2631\"\u003eThis product includes data from OpenStreetMap contributors, licensed under the Open Database License (ODbL) 1.0.\u003cbr data-end=\"3248\" data-start=\"3245\"\u003e© OpenStreetMap contributors.\u003c\/p\u003e","brand":"Domino's","offers":[{"title":"Netherlands \/ CSV","offer_id":56553894281547,"sku":"UFDM84920141","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Netherlands \/ GeoJSON","offer_id":56553894314315,"sku":"UFDM84920142","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Belgium \/ CSV","offer_id":56553894347083,"sku":"UFDM84920143","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Belgium \/ GeoJSON","offer_id":56553894379851,"sku":"UFDM84920144","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ CSV","offer_id":56553894412619,"sku":"UFDM84920145","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ GeoJSON","offer_id":56553894445387,"sku":"UFDM84920146","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"France \/ CSV","offer_id":56553964962123,"sku":"UFDM84920147","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"France \/ GeoJSON","offer_id":56553964994891,"sku":"UFDM84920148","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Luxembourg \/ CSV","offer_id":56553965027659,"sku":"UFDM84920149","price":5.0,"currency_code":"EUR","in_stock":true},{"title":"Luxembourg \/ GeoJSON","offer_id":56553965060427,"sku":"UFDM84920150","price":5.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/1936\/0587\/files\/dominos-pizza-locations-dataset-map-visual.png?v=1776802114"},{"product_id":"mcdonalds-europe-free-sample-verified-locations-dataset-csv-geojson","title":"McDonald's Europe – Free Sample - Verified Locations Dataset (CSV, GeoJSON)","description":"\u003cp data-start=\"247\" data-end=\"460\"\u003eThis free sample provides a small preview of the McDonald’s restaurant locations dataset across Europe.\u003cbr data-start=\"350\" data-end=\"353\"\u003eIt includes a limited number of records to demonstrate the data structure, formatting, and overall quality.\u003c\/p\u003e\n\u003cp data-start=\"462\" data-end=\"707\"\u003eAll records are sourced and structured using OpenStreetMap via Overpass API queries.\u003cbr data-start=\"546\" data-end=\"549\"\u003eEach sample entry contains standardized fields such as latitude\/longitude coordinates, address attributes, brand metadata, and opening hours (when available).\u003c\/p\u003e\n\u003cp data-start=\"709\" data-end=\"897\"\u003eThe file has been cleaned and validated to show exactly how the full dataset is delivered — ready for use in GIS tools, dashboards, data analysis workflows, or location-based applications.\u003c\/p\u003e\n\u003cp data-start=\"899\" data-end=\"925\"\u003eThis sample allows you to:\u003c\/p\u003e\n\u003cul data-start=\"927\" data-end=\"1079\"\u003e\n\u003cli data-start=\"927\" data-end=\"959\"\u003e\n\u003cp data-start=\"929\" data-end=\"959\"\u003eReview the dataset structure\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"960\" data-end=\"998\"\u003e\n\u003cp data-start=\"962\" data-end=\"998\"\u003eTest compatibility with your tools\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"999\" data-end=\"1039\"\u003e\n\u003cp data-start=\"1001\" data-end=\"1039\"\u003eEvaluate data quality and formatting\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1040\" data-end=\"1079\"\u003e\n\u003cp data-start=\"1042\" data-end=\"1079\"\u003eExplore example location attributes\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1081\" data-end=\"1220\"\u003eThe full version includes complete coverage of McDonald’s locations across Europe, regular updates, and a detailed changelog with metadata.\u003c\/p\u003e\n\u003cp data-start=\"1222\" data-end=\"1366\"\u003eThis product contains data from OpenStreetMap contributors, licensed under the Open Database License (ODbL) 1.0.\u003cbr data-start=\"1334\" data-end=\"1337\"\u003e© OpenStreetMap contributors.\u003c\/p\u003e","brand":"McDonald’s","offers":[{"title":"Netherlands \/ CSV","offer_id":56688136225099,"sku":"FUFMC84920141","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Netherlands \/ GeoJSON","offer_id":56688136257867,"sku":"FUFMC84920142","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Belgium \/ CSV","offer_id":56688136290635,"sku":"FUFMC84920143","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Belgium \/ GeoJSON","offer_id":56688136323403,"sku":"FUFMC84920144","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ CSV","offer_id":56688136356171,"sku":"FUFMC84920145","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ GeoJSON","offer_id":56688136388939,"sku":"FUFMC84920146","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"United Kingdom \/ CSV","offer_id":57762371502411,"sku":"FUFMC84920147","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"United Kingdom \/ GeoJSON","offer_id":57762371535179,"sku":"FUFMC84920148","price":0.0,"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"},{"product_id":"aldi-supermarkets-europe-verified-locations-dataset-csv-geojson","title":"ALDI Supermarkets Europe – Verified Locations Dataset (CSV, GeoJSON)","description":"\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eThis dataset provides a structured and up-to-date overview of ALDI supermarket locations across Europe, including both \u003c\/span\u003e\u003ca href=\"https:\/\/www.datalocatr.com\/pages\/aldi-locations-germany\"\u003e\u003cstrong\u003e\u003cspan\u003eALDI Nord\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e and \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eALDI Süd\u003c\/span\u003e\u003c\/strong\u003e\u003c\/a\u003e\u003cspan\u003e store networks. Each record represents a verified store location and includes detailed geographic and address information suitable for mapping, analytics, and location intelligence.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eALDI operates as two independent groups, ALDI Nord and ALDI Süd, each with its own regional store distribution across Europe. This dataset captures locations from both organizations, making it particularly valuable for understanding full market coverage and regional differences within the ALDI network.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eAll records are sourced and structured using OpenStreetMap data through Overpass API queries, ensuring reliable and standardized location data. Each entry includes precise latitude and longitude coordinates, store name, address attributes, brand classification (ALDI Nord or ALDI Süd), and opening hours when available.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eThe dataset has been cleaned, validated, and standardized so it can be used immediately in GIS tools, mapping software, business intelligence dashboards, or custom applications.\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv\u003e\u003chr\u003e\u003c\/div\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cstrong\u003e\u003cspan\u003eWhat you can do with this dataset\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eThis dataset is suitable for a wide range of retail analytics and geospatial applications, including:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul data-spread=\"false\"\u003e\n\u003cli\u003e\u003cspan\u003eBuilding interactive maps of ALDI store locations across Europe\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eAnalyzing the geographic distribution of \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eALDI Nord vs ALDI Süd\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eRunning proximity and catchment area analysis\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eStudying supermarket density and regional retail patterns\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eIntegrating store locations into apps or internal business tools\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eCombining location data with demographic, mobility, or market datasets\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv\u003e\u003chr\u003e\u003c\/div\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cstrong\u003e\u003cspan\u003eDataset format\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eThe download package includes ready-to-use files:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul data-spread=\"false\"\u003e\n\u003cli\u003e\u003cspan\u003eCSV – compatible with spreadsheets, databases, and analytics tools\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eGeoJSON – ideal for GIS software and mapping platforms\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eEach download also includes metadata and a changelog, allowing users to track dataset updates over time.\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv\u003e\u003chr\u003e\u003c\/div\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cstrong\u003e\u003cspan\u003eData source and license\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eThis product contains data derived from OpenStreetMap contributors, licensed under the Open Database License (ODbL) 1.0.\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e© OpenStreetMap contributors.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThis dataset is an independent data compilation and is not affiliated with or endorsed by ALDI. All brand names are used for descriptive identification purposes only.\u003c\/span\u003e\u003c\/p\u003e","brand":"ALDI","offers":[{"title":"Netherlands \/ CSV","offer_id":56795509555531,"sku":"UFMC84920141","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Netherlands \/ GeoJSON","offer_id":56795509588299,"sku":"UFMC84920142","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ CSV","offer_id":56795509686603,"sku":"UFMC84920145","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ GeoJSON","offer_id":56795509719371,"sku":"UFMC84920146","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"France \/ CSV","offer_id":56813491323211,"sku":"UFMC84920147","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"France \/ GeoJSON","offer_id":56813491355979,"sku":"UFMC84920148","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"United Kingdom \/ CSV","offer_id":57330804785483,"sku":"UFMC84920149","price":15.0,"currency_code":"EUR","in_stock":true},{"title":"United Kingdom \/ GeoJSON","offer_id":57330804818251,"sku":"UFMC84920150","price":15.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/1936\/0587\/files\/Aldi-supermarket-locations-dataset-map-visual.png?v=1776802042"},{"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"},{"product_id":"mcdonalds-usa-free-dataset-sample-verified-store-locations-csv-geojson","title":"McDonald's USA – Free Dataset Sample - Verified Store Locations (CSV, GeoJSON)","description":"\u003ch1 data-end=\"375\" data-start=\"315\"\u003eFree McDonald's USA Locations Dataset Sample (CSV \u0026amp; GeoJSON)\u003c\/h1\u003e\n\u003cp data-end=\"936\" data-start=\"783\"\u003eDownload a \u003cstrong data-end=\"849\" data-start=\"794\"\u003efree sample of the McDonald’s USA locations dataset\u003c\/strong\u003e to preview the structure, data quality, and format before purchasing the full version.\u003c\/p\u003e\n\u003cp data-end=\"1095\" data-start=\"941\"\u003eThis sample includes a subset of real McDonald’s restaurant locations across the United States, sourced and verified using OpenStreetMap via Overpass API.\u003c\/p\u003e\n\u003cp data-end=\"1162\" data-start=\"1100\"\u003eEach entry demonstrates the full dataset structure, including:\u003c\/p\u003e\n\u003cul data-end=\"1303\" data-start=\"1167\"\u003e\n\u003cli data-end=\"1205\" data-start=\"1167\" data-section-id=\"1bmg9fl\"\u003eLatitude and longitude coordinates\u003c\/li\u003e\n\u003cli data-end=\"1231\" data-start=\"1208\" data-section-id=\"19381gy\"\u003eAddress information\u003c\/li\u003e\n\u003cli data-end=\"1255\" data-start=\"1234\" data-section-id=\"huevug\"\u003eLocation metadata\u003c\/li\u003e\n\u003cli data-end=\"1301\" data-start=\"1258\" data-section-id=\"u473c2\"\u003eStandardized formatting (CSV \u0026amp; GeoJSON)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-end=\"1355\" data-start=\"1314\" data-section-id=\"10yescg\"\u003eWhat you can test with this sample\u003c\/h3\u003e\n\u003cul data-end=\"1531\" data-start=\"1360\"\u003e\n\u003cli data-end=\"1403\" data-start=\"1360\" data-section-id=\"1yo56h\"\u003eData structure and schema compatibility\u003c\/li\u003e\n\u003cli data-end=\"1441\" data-start=\"1406\" data-section-id=\"ybv0le\"\u003eGIS or mapping tool integration\u003c\/li\u003e\n\u003cli data-end=\"1485\" data-start=\"1444\" data-section-id=\"135vxsf\"\u003eImport into spreadsheets or databases\u003c\/li\u003e\n\u003cli data-end=\"1529\" data-start=\"1488\" data-section-id=\"1juujov\"\u003ePreview geospatial analysis workflows\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-end=\"1569\" data-start=\"1542\" data-section-id=\"x03k0a\"\u003eFull Dataset Upgrade\u003c\/h3\u003e\n\u003cp data-end=\"1737\" data-start=\"1574\"\u003eThis is a \u003cstrong data-end=\"1610\" data-start=\"1584\"\u003elimited sample version\u003c\/strong\u003e. The \u003ca href=\"https:\/\/www.datalocatr.com\/products\/mcdonalds-usa-locations-dataset-verified-store-locations-csv-geojson\"\u003efull dataset\u003c\/a\u003e includes all McDonald’s locations across the United States, with expanded coverage and complete data fields.\u003c\/p\u003e\n\u003ch3 data-end=\"1764\" data-start=\"1750\" data-section-id=\"m2nk5g\"\u003eLicense\u003c\/h3\u003e\n\u003cp data-end=\"1902\" data-start=\"1769\"\u003eIncludes data from OpenStreetMap contributors, licensed under the Open Database License (ODbL) 1.0.\u003cbr data-end=\"1871\" data-start=\"1868\"\u003e© OpenStreetMap contributors.\u003c\/p\u003e\n\u003cp data-end=\"2013\" data-start=\"1915\"\u003e\u003cem data-end=\"2013\" data-start=\"1918\"\u003eUse this free sample to validate the dataset before upgrading to the full commercial version.\u003c\/em\u003e\u003c\/p\u003e","brand":"McDonald’s","offers":[{"title":"United States \/ CSV","offer_id":57191768031563,"sku":"UFMC84920147FREE","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"United States \/ GeoJSON","offer_id":57191768064331,"sku":"UFMC84920148FREE","price":0.0,"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"},{"product_id":"dominos-europe-free-sample-verified-locations-dataset-csv-geojson","title":"Domino's Europe – Free Sample - Verified Locations Dataset (CSV, GeoJSON)","description":"\u003ch1 data-start=\"315\" data-end=\"375\"\u003eFree Domino's Europe Locations Dataset Sample (CSV \u0026amp; GeoJSON)\u003c\/h1\u003e\n\u003cp data-start=\"783\" data-end=\"936\"\u003eDownload a \u003cstrong data-start=\"794\" data-end=\"849\"\u003efree sample of the Domino's Europe locations dataset\u003c\/strong\u003e to preview the structure, data quality, and format before purchasing the full version.\u003c\/p\u003e\n\u003cp data-start=\"941\" data-end=\"1095\"\u003eThis sample includes a subset of real Domino's restaurant locations across Europe, sourced and verified using OpenStreetMap via Overpass API.\u003c\/p\u003e\n\u003cp data-start=\"1100\" data-end=\"1162\"\u003eEach entry demonstrates the full dataset structure, including:\u003c\/p\u003e\n\u003cul data-start=\"1167\" data-end=\"1303\"\u003e\n\u003cli data-section-id=\"1bmg9fl\" data-start=\"1167\" data-end=\"1205\"\u003eLatitude and longitude coordinates\u003c\/li\u003e\n\u003cli data-section-id=\"19381gy\" data-start=\"1208\" data-end=\"1231\"\u003eAddress information\u003c\/li\u003e\n\u003cli data-section-id=\"huevug\" data-start=\"1234\" data-end=\"1255\"\u003eLocation metadata\u003c\/li\u003e\n\u003cli data-section-id=\"u473c2\" data-start=\"1258\" data-end=\"1301\"\u003eStandardized formatting (CSV \u0026amp; GeoJSON)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-section-id=\"10yescg\" data-start=\"1314\" data-end=\"1355\"\u003eWhat you can test with this sample\u003c\/h3\u003e\n\u003cul data-start=\"1360\" data-end=\"1531\"\u003e\n\u003cli data-section-id=\"1yo56h\" data-start=\"1360\" data-end=\"1403\"\u003eData structure and schema compatibility\u003c\/li\u003e\n\u003cli data-section-id=\"ybv0le\" data-start=\"1406\" data-end=\"1441\"\u003eGIS or mapping tool integration\u003c\/li\u003e\n\u003cli data-section-id=\"135vxsf\" data-start=\"1444\" data-end=\"1485\"\u003eImport into spreadsheets or databases\u003c\/li\u003e\n\u003cli data-section-id=\"1juujov\" data-start=\"1488\" data-end=\"1529\"\u003ePreview geospatial analysis workflows\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-section-id=\"x03k0a\" data-start=\"1542\" data-end=\"1569\"\u003eFull Dataset Upgrade\u003c\/h3\u003e\n\u003cp data-start=\"1574\" data-end=\"1737\"\u003eThis is a \u003cstrong data-start=\"1584\" data-end=\"1610\"\u003elimited sample version\u003c\/strong\u003e. The \u003ca href=\"https:\/\/www.datalocatr.com\/products\/dominos-europe-verified-locations-data-csv-geojson\"\u003efull dataset\u003c\/a\u003e includes all Domino's locations across Europe, with expanded coverage and complete data fields.\u003c\/p\u003e","brand":"Domino's","offers":[{"title":"Netherlands \/ CSV","offer_id":57568414662987,"sku":"UFDM84920141FREE","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Netherlands \/ GeoJSON","offer_id":57568414695755,"sku":"UFDM84920142FREE","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Belgium \/ CSV","offer_id":57568414728523,"sku":"UFDM84920143FREE","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Belgium \/ GeoJSON","offer_id":57568414761291,"sku":"UFDM84920144FREE","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ CSV","offer_id":57568414794059,"sku":"UFDM84920145FREE","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Germany \/ GeoJSON","offer_id":57568414826827,"sku":"UFDM84920146FREE","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"France \/ CSV","offer_id":57568593248587,"sku":"UFDM84920147FREE","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"France \/ GeoJSON","offer_id":57568593281355,"sku":"UFDM84920148FREE","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Luxembourg \/ CSV","offer_id":57568593314123,"sku":"UFDM84920149FREE","price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Luxembourg \/ GeoJSON","offer_id":57568593346891,"sku":"UFDM84920150FREE","price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/1936\/0587\/files\/dominos-pizza-locations-dataset-map-visual.png?v=1776802114"}],"url":"https:\/\/www.datalocatr.com\/collections\/frontpage.oembed","provider":"DataLocatr","version":"1.0","type":"link"}