This core point of interest dataset consists of 1M location information of retail stores in the US and Canada. The POI database includes electronic stores, supermarkets and groceries, specialty retailers, home improvement and convenience stores, and apparel and accessories shops.

SafeGraph Places provides baseline information for every record in the SafeGraph product suite via the Places schema and polygon information when applicable via the Geometry schema. The current scope of a place is defined as any location humans can visit with the exception of single-family homes. This definition encompasses a diverse set of places ranging from restaurants, grocery stores, and malls; to parks, hospitals, museums, offices, and industrial parks. Premium sets of Places include apartment buildings, Parking Lots, and Point POIs (such as ATMs or transit stations).

SafeGraph Places is a point of interest (POI) data offering with varying coverage depending on the country. Note that address conventions and formatting vary across countries. SafeGraph has coalesced these fields into the Places schema.

Fresh POI dataset: 1 M+ verified retail locations across US & Canada with 95% accuracy. Updated every 30-90 days. Covers electronics, supermarkets, home improvement, and apparel stores. Perfect for site selection, market analysis & competitive intelligence. Get actionable retail insights instantly.

This dataset was originally created in 2012 by the Office of the Chief Technology Officer. OCTO staff used the Alcoholic Beverage and Cannabis Administration’s (ABCA) definition of Full-Service Grocery Stores which outlines criteria for a business to obtain licenses to sell beer, wine, and spirits. Visit abca.dc.gov for full definition.OCTO staff then reviewed the Office of Planning DC Food Policy’s 2018 Food System Assessment listing grocery stores in Appendix D, and comparing these to the ABCA definition. This led to additional locations that meet, or come very close to, the full-service grocery store criteria. The criteria in section one of ABCA’s full-service grocery store determined the initial locations included in this dataset. View the full assessment at dcfoodpolicycouncil.org.Since the initial creation of this dataset, OCTO and the Deputy Mayor for Planning and Economic Development (DMPED) staff confirm grocery store operations by comparing datasets from DLCP, media outlets, commercially licensed datasets, and onsite visits.Please review supplemental metadata for more details.

A listing of all retail food stores which are licensed by the Department of Agriculture and Markets.

This dataset has rich detailing all operational Target locations as of Dec 2023. Dive into comprehensive columns featuring address, latitude/longitude coordinates, store opening dates, last remodel dates, capabilities, and various other intriguing data points.

About - Target Corporation is an American retail corporation that operates a chain of discount department stores and hypermarkets, headquartered in Minneapolis, Minnesota.

Comprehensive dataset containing 45 verified Comprehensive Wholesale & Retail Store locations in China with complete contact information, ratings, reviews, and location data.

Xverum’s Store Location Data offers unmatched global coverage of retail, restaurant, and business locations - spanning 230M+ verified POIs across 5000+ commercial categories in over 249 countries.

Whether you're launching a new retail concept, mapping competitor presence, or enriching your analytics platform with real-world business locations - our bulk dataset helps you unlock rich geospatial context.

What’s Included: ➡️ Store Locations & Addresses: Geocoded with latitude/longitude, city, postal code, country. ➡️ Business Metadata: Brand names, categories & subcategories (e.g., Restaurants, Grocery, Clothing). ➡️ Store Details (if available): Website, phone number, operating hours. ➡️ Structured Delivery: Available in .json via S3 bucket or other cloud storage.

🚫 No Foot Traffic or Mobility Data: Clean, static POI data for precise business intelligence use cases.

Use Cases: ✔️ Retail Site Selection & Market Expansion ✔️ Restaurant Chain Mapping & Competitive Benchmarking ✔️ POI Enrichment for Mapping Platforms & Apps ✔️ Real Estate & Urban Planning Analytics ✔️ Location-Based Targeting & Geospatial Analysis

Why Choose Xverum: ✅ 230M+ Store & Business POIs updated regularly ✅ Global coverage across 249+ countries ✅ 5000+ categories from retail and F&B to professional services ✅ Delivered in bulk only - ideal for enterprise data teams ✅ Privacy-compliant (GDPR/CCPA) & ethically sourced

Request your free sample today and discover how Xverum’s store location data can elevate your retail insights, POI mapping, or expansion planning.

Business location data for Maptitude mapping software are from Caliper Corporation and contain point locations for businesses.

Comprehensive POI data for all malls and shopping centers in the US. Crucial for retail strategy, market analysis, and commercial real estate decisions across the country.

MealMe provides comprehensive grocery and retail SKU-level product data, including real-time pricing, from the top 100 retailers in the USA and Canada. Our proprietary technology ensures accurate and up-to-date insights, empowering businesses to excel in competitive intelligence, pricing strategies, and market analysis.

Retailers Covered: MealMe’s database includes detailed SKU-level data and pricing from leading grocery and retail chains such as Walmart, Target, Costco, Kroger, Safeway, Publix, Whole Foods, Aldi, ShopRite, BJ’s Wholesale Club, Sprouts Farmers Market, Albertsons, Ralphs, Pavilions, Gelson’s, Vons, Shaw’s, Metro, and many more. Our coverage spans the most influential retailers across North America, ensuring businesses have the insights needed to stay competitive in dynamic markets.

Key Features: SKU-Level Granularity: Access detailed product-level data, including product descriptions, categories, brands, and variations. Real-Time Pricing: Monitor current pricing trends across major retailers for comprehensive market comparisons. Regional Insights: Analyze geographic price variations and inventory availability to identify trends and opportunities. Customizable Solutions: Tailored data delivery options to meet the specific needs of your business or industry. Use Cases: Competitive Intelligence: Gain visibility into pricing, product availability, and assortment strategies of top retailers like Walmart, Costco, and Target. Pricing Optimization: Use real-time data to create dynamic pricing models that respond to market conditions. Market Research: Identify trends, gaps, and consumer preferences by analyzing SKU-level data across leading retailers. Inventory Management: Streamline operations with accurate, real-time inventory availability. Retail Execution: Ensure on-shelf product availability and compliance with merchandising strategies. Industries Benefiting from Our Data CPG (Consumer Packaged Goods): Optimize product positioning, pricing, and distribution strategies. E-commerce Platforms: Enhance online catalogs with precise pricing and inventory information. Market Research Firms: Conduct detailed analyses to uncover industry trends and opportunities. Retailers: Benchmark against competitors like Kroger and Aldi to refine assortments and pricing. AI & Analytics Companies: Fuel predictive models and business intelligence with reliable SKU-level data. Data Delivery and Integration MealMe offers flexible integration options, including APIs and custom data exports, for seamless access to real-time data. Whether you need large-scale analysis or continuous updates, our solutions scale with your business needs.

Why Choose MealMe? Comprehensive Coverage: Data from the top 100 grocery and retail chains in North America, including Walmart, Target, and Costco. Real-Time Accuracy: Up-to-date pricing and product information ensures competitive edge. Customizable Insights: Tailored datasets align with your specific business objectives. Proven Expertise: Trusted by diverse industries for delivering actionable insights. MealMe empowers businesses to unlock their full potential with real-time, high-quality grocery and retail data. For more information or to schedule a demo, contact us today!

Comprehensive dataset containing 40 verified Retail store equipment locations in Russia with complete contact information, ratings, reviews, and location data.

Massive POI database covering 6 million locations across 11 industries in the US and Canada. Includes 40+ rich data attributes for each location. Empowers data-driven decision-making across various sectors, from retail to healthcare, with high-quality, diverse location intelligence.

GapMaps curates up-to-date and high-quality Point of Interest (POI) datasets tracking store openings and closures for leading retail brands across Asia and MENA. Get the insights you need to make more accurate and informed business decisions.

Dataset

This dataset was created by Ankush Kashyap

Released under Apache 2.0

Contents

The global store locator software market is experiencing robust growth, driven by the increasing need for businesses to enhance customer experience and improve omnichannel strategies. The market, estimated at $250 million in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the rising adoption of mobile devices and location-based services empowers consumers to easily find nearby stores, increasing demand for user-friendly and feature-rich store locator solutions. Secondly, the expanding e-commerce landscape necessitates seamless integration between online and offline channels. Store locator software plays a crucial role in this integration, enabling businesses to provide accurate location information, store hours, and inventory data, thus improving customer satisfaction and driving sales. Furthermore, advanced features such as real-time inventory updates, route optimization, and integration with other business systems are enhancing the value proposition of these solutions, attracting more businesses of all sizes. However, the market also faces some challenges. The high initial investment cost for sophisticated software can be a barrier to entry for small and medium-sized enterprises (SMEs). Competition is also intensifying, with established players and new entrants vying for market share. Data security and privacy concerns related to collecting and utilizing customer location data also represent a significant restraint. Despite these challenges, the long-term growth prospects remain positive, driven by the ongoing digital transformation of retail and the increasing focus on improving customer experience. The market is segmented by software type (cloud-based, on-premise), deployment mode, enterprise size, and geography, with North America and Europe currently holding significant market shares. Leading players such as Yext, Chatmeter, and Brandify are constantly innovating to enhance their offerings and maintain their competitive edge. This involves incorporating advanced mapping technologies, AI-powered features, and improved integrations to meet the evolving needs of businesses.

This massive global point of interest database represents a transformative resource for location intelligence. Global businesses, researchers, and analysts can leverage these comprehensive location insights to conduct advanced spatial analysis, develop market strategies, and gain understanding of global geographical dynamics.

Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive landscape.

LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including:

-Retail -Restaurants -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more

Why Choose LocationsXYZ? At LocationsXYZ, we: -Deliver POI data with 95% accuracy -Refresh POIs every 30, 60, or 90 days to ensure the most recent information -Create on-demand POI datasets tailored to your specific needs -Handcraft boundaries (geofences) for locations to enhance accuracy -Provide POI and polygon data in multiple file formats

Unlock the Power of POI Data With our point-of-interest data, you can: -Perform thorough market analyses -Identify the best locations for new stores -Gain insights into consumer behavior -Achieve an edge with competitive intelligence

LocationsXYZ has empowered businesses with geo-spatial insights, helping them scale and make informed decisions. Join our growing list of satisfied customers and unlock your business's potential with our cutting-edge POI data.

Detailed store polygon data for household appliances, furniture, electronics, and related stores in the US and Canada. Essential for retail sector analysis, market strategies, and competitive intelligence in the home goods industry.

GapMaps curates up-to-date and high-quality GIS Data tracking store openings and closures for leading retail brands across Asia and MENA. Get the insights you need to make more accurate and informed business decisions.

GapMaps curates up-to-date and high-quality POI datasets tracking store openings and closures for leading retail brands in Indonesia across 16 categories. Get the insights you need to make more accurate and informed business decisions or incorporate POI data into your location services applications.