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Coffee Shop POI Dataset
Coffee shop POI data delivers accurate location intelligence about cafés, coffee chains, and independent coffee retailers across the United States. Businesses can leverage this coffee chain POI dataset to monitor store locations, analyze market coverage, and track competitive positioning across regions. POI data for coffee shops includes store names, addresses, latitude-longitude coordinates, contact information, store categories, operating hours, and customer ratings. This structured dataset helps businesses map coffee retail networks and build data-driven strategies.
Using coffee shop data scraping services, companies can gather and update location data regularly from publicly available sources and online directories. The dataset can be used for geospatial analysis, competitive benchmarking, and retail site selection. Companies across the food and beverage industry can use coffee shop location data USA for competitor analysis, to identify underserved regions, optimize distribution networks, and enhance marketing strategies. With reliable coffee shop geospatial data and cafe location data B2B, businesses can make better strategic decisions backed by accurate location intelligence.
Comprehensive Coffee Shop Location Dataset
Our coffee shop location data USA includes detailed and structured attributes that help businesses build powerful geospatial insights. The dataset is ideal for companies seeking coffee shop geospatial data or cafe location data B2B for analytics and mapping platforms. The coffee shop database USA typically includes:
- Store Name
- Address and Full Location Details
- Latitude and Longitude Coordinates
- City, State, and Country
- Zip/Postal Code
- Store Category (Coffee Chain, Independent Café, Drive-Thru Coffee Shop)
- Contact Information
- Opening Hours
- Brand or Chain Identification
- Customer Ratings and Reviews
Use Cases of Coffee Shop Location Data
- Market Expansion Analysis – Identify regions with strong demand but limited retail availability using coffee shop geospatial data.
- Competitor Mapping – Monitor competitor store density and track Starbucks, Dunkin Donuts, Tim Hortons, and Caribou Coffee locations.
- Retail Site Selection – Analyze coffee shop location data USA to identify high-potential areas for new café outlets.
- Distribution Optimization – Optimize delivery routes and supply chain efficiency for coffee suppliers and distributors.
- Geospatial Market Intelligence – Combine coffee shop POI data with demographic insights to evaluate consumer demand.
Coffee Shop Data Scraping Services
LocationsCloud provides advanced coffee shop data scraping services to collect large-scale POI datasets from publicly available sources such as online maps, business directories, and review platforms. Businesses can use scraped coffee shop data to develop and deliver custom datasets, monitor competitor locations, or track newly opened stores.
Automated scraping ensures datasets remain up-to-date and scalable for enterprise-level analytics. This service helps coffee brands, retailers, real estate firms, and market intelligence companies access reliable coffee shop POI data and build stronger location-based strategies.
Why Choose LocationsCloud for Coffee Shop POI Data
- Comprehensive Coverage – Includes major chains and independent cafés across all 50 states
- Accurate and Verified Data – Rigorous verification of addresses, coordinates, and business details
- Regular Data Updates – Datasets updated to reflect new openings, closures, and relocations
- Flexible Data Formats – CSV, JSON, Excel, or direct API access
- Custom Dataset Solutions – Filtered by region, chain type, or specific attributes
- Enterprise-Grade Scalability – Solutions that scale from single metros to nationwide coverage
Benefits of Coffee Shop Location Dataset
- Better Market Insights: Understand regional retail distribution and market opportunities.
- Improved Site Selection: Identify ideal locations based on competition and demographics.
- Competitive Intelligence: Monitor competitor presence across different regions.
- Stronger Distribution Planning: Optimize logistics and supply chain networks.
- Data-Driven Decisions: Enhance analytics and strategic business planning.
FAQs
What does LocationsCloud’s coffee shop POI dataset include?
Store name, full address, coordinates, contact details, operating hours, brand identification, customer ratings, and store category covering major chains and independent cafés.
How many coffee shops are in the United States in 2026?
Approximately 40,000+ coffee shop locations across all 50 states, including chains and independent cafés.
How do businesses use coffee shop POI data for site selection?
By analyzing competitor density, identifying underserved markets, and combining geospatial data with demographic insights to pinpoint optimal locations.
Which state has the most coffee shop locations in the USA?
California leads, followed by Texas, Florida, New York, and Washington.
Does the coffee shop dataset include independent cafés as well as chains?
Yes, our dataset covers major chains like Starbucks, Dunkin, Tim Hortons, and Caribou Coffee, plus thousands of independent cafés and local roasters.