What is Restaurant Location Data? Examples, Datasets and Providers
What is Restaurant Location Data?
Restaurant location data refers to information about the physical locations of restaurants. This data is valuable for various purposes, including market analysis, site selection, and navigation services.
What Are Examples of Restaurant Location Data?
Examples of restaurant location data include datasets offering insights into dining establishments and their operations. Key examples include:
Restaurant Addresses: Exact locations, including street names and postal codes.
Geocoded Data: Latitude and longitude coordinates for mapping and analysis.
Operational Information: Hours of operation, menu details, and amenities (e.g., outdoor seating, drive-thru).
Cuisine Type: Classification of restaurants by cuisine, such as Italian, fast food, or vegan.
Customer Reviews and Ratings: Insights into customer feedback and satisfaction.
Best Restaurant Location Databases & Datasets
The best restaurant location datasets provide accurate geographic data, operational details, and customer insights. This curated list features the top restaurant datasets, selected for precision, quality, and trusted providers.
Restaurant Location Data | Global Restaurant POIs | SafeGraph Places
Location Data | Beverage Place Geofences in US and Canada | Restaurant Location Data | Comprehensive Mapping
Global Quick Service Restaurant Location Data
Restaurant Location Data Australia | 65k+ Restaurant, Cafes, Takeaway and other Consumer Food Outlet Businesses | Addresses, Contacts, Geo information
Global Restaurant Location Data | Ratings, Cuisine Type, Cost-to-dine + more
Quadrant Global Raw Location Data - Restaurant Traffic Data - 900+ Million Unique Devices
Factori High Fidelity Mobility Data| Precised Mobile Location Data:200 Billion+ Locations|
USA Restaurant Data: Addresses, Ratings, Delivery Fees, and Hours for 500K Locations
Point of Interest (POI) Data | Australia | Make Informed Site Selection Decisions | Business Location Data | Location Data
Location Data | Global Location Data on 52M+ POI | SafeGraph Places
Monetize data on Datarade Marketplace
Popular Use Cases for Restaurant Location Data
Restaurant location data is used in marketing and mapping applications. A common use case is point of interest (POI) mapping, integrating restaurant locations into maps alongside nearby attractions and infrastructure for navigation and analysis. Another key application is point of interest (POI) marketing, targeting potential customers with location-based campaigns and personalized offers to drive foot traffic to restaurants.
Restaurant Location Data Attributes
Restaurant location data includes essential details about dining establishments, such as their addresses, operational specifics, and available services. These attributes help businesses analyze market trends and customers find suitable dining options.
| Attribute | Description | Example |
|---|---|---|
| Restaurant Addresses | Physical locations, including street and postal codes. | E.g., 123 Foodie St, San Diego, CA. |
| Geographic Coordinates | Latitude and longitude for precise mapping. | E.g., 32.715736, -117.161087. |
| Cuisine Type | Classification by the type of food served. | E.g., Italian, Chinese, Vegan. |
| Operating Hours | Restaurant opening and closing times. | E.g., Mon-Sun: 11 AM - 10 PM. |
| Contact Information | Phone numbers, emails, or websites. | E.g., (555) 987-6543, www.foodplace.com. |
| Amenities | Additional services available. | E.g., Outdoor seating, free Wi-Fi. |
| Nearby Attractions | Points of interest near the restaurant. | E.g., Located near Central Mall. |
| Accessibility Features | Details about accessibility for all customers. | E.g., Wheelchair-accessible entrance. |
Frequently Asked Questions
How Accurate is Restaurant Location Data?
The accuracy of restaurant location data can vary depending on the provider and how the data is sourced. For example, some providers report accuracy levels as high as 95% or even 97%, meaning the data closely reflects real-world locations. For the best results, we suggest choosing a provider that offers regular data validation and high accuracy guarantees.
How Frequently is Restaurant Location Data Updated?
The update frequency for restaurant location data can range from real-time to weekly, monthly, or even quarterly, depending on the provider and the specific dataset. For businesses that need up-to-date information on openings and closings, such as those in retail or logistics, we recommend opting for a dataset that is updated weekly or monthly.
How is Restaurant Location Data Delivered?
Restaurant location data can be delivered in a variety of formats, such as .csv, .json, or .xls, and through methods like S3 buckets, APIs, or email. If you need real-time access, some providers also offer API integrations for continuous updates. We recommend choosing a delivery method that fits your current data management systems.
How Much Does Restaurant Location Data Cost?
The cost of restaurant location data varies based on several factors, including geographic coverage, volume of data, and update frequency. On average, pricing can start as low as $0.08 to $0.10 per data point for one-off purchases. For larger datasets or ongoing access, monthly or yearly subscriptions are common, with prices ranging from $500 per month to $30,000 per year. Many providers also offer free data samples on Datarade, allowing you to evaluate the data before committing. We suggest starting with a sample to ensure the data meets your needs.
What Geographic Areas Are Covered by Restaurant Location Data?
Restaurant location data is available globally, with datasets covering regions such as North America, Europe, Asia, and South America. Some datasets even provide information on more than 240 countries, making it possible to conduct global market analyses or local site selection. If you’re focusing on a particular region or country, be sure to check that the dataset offers sufficient coverage for your target area.
Can Restaurant Location Data Be Combined with Other Data Types?
Yes, restaurant location data can be integrated with other datasets, such as demographic data, foot traffic data, or competitive analysis tools, to create a richer analysis. For a more holistic approach, we recommend combining restaurant location data with other geospatial data types for deeper insights.
Can I Request Custom Restaurant Location Data?
Yes, many providers offer custom datasets tailored to your specific needs. Whether you need additional attributes like customer sentiment, cuisine type, or want coverage for a specific geographic region, custom restaurant location data can be crafted to meet your requirements. If your project requires unique insights or data attributes, we recommend contacting the provider to explore custom data options.
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