What is Restaurant Location Data? Examples, Datasets and Providers
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
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
Global Quick Service Restaurant Location Data
Restaurant Location Data | All Focus Brands Restaurant Locations in US and Canada | POI Data
Restaurant Location Data | All Brinkers International Restaurant Brand Outlets Locations in US | Store Location Data | Tourist Attraction Data
Global Restaurant Location Data | Location + POI Data on 1M+ Restaurants
Restaurant Location Data | All Inspire Brands Restaurant Locations in US and Canada | Retail Store Restaurant Data | Tourist Attraction Data
Restaurant Location Data | All Dickey's Restaurant Locations in US | Points of Interest Data | Tourist Attraction Data
Restaurant Location Data | All Dine Brands Restaurant Locations in US and Canada | Detailed Store Insights | Tourist Attraction Data
Location Data | Beverage Place Geofences in US and Canada | Restaurant Location Data | Comprehensive Mapping
Restaurant Location Data | All Subway Fast Food QSR Store Locations in US and Canada
Can't find the data you're looking for?
Let data providers come to you by posting your request
Post your request
Top Restaurant Location Data Providers & Companies
-
Xtract
CoverageUSAUK+248VIt has been a great experience working with Xtract.io. Their data quality was top-notch, helping us strategize new locations for business expansion. Thank you, team, for giving us the right datasets that we require to expand our store outlets.
-
SafeGraph
CoverageUSAUK+248VWe are using safegraph data to research on the foot traffic of airports in the U.S. We find it very helpful with lots of documentation. The customer support is awesome. You can post in the slack channel and got a response very quickly
-
GapMaps
CoverageUSACanada+153VWe use GapMaps’ data offering extensively to identify and approve locations for Anytime Fitness sites across Southeast Asia. This data helps Inspire Brands Asia make informed decisions, ensuring that each new gym location meets our strategic criteria and has the potential for success. The insights from GapMaps enable us to understand market demographics, competition, and accessibility, which are crucial for our expansion plans.
-
dataplor
CoverageUSAUK+247VMy firm decided to make the switch over to dataplor from a manual data collection effort once we saw measurable lift in accuracy, coverage, and cost-savings. Their resolution was far beyond what we could achieve on our own, and we no longer had to juggle the labor-intensive process of duplicates, new places, and pulling in updates. We now have a reliable stream of data in difficult markets that is high-fidelity and always current. And because they are global, adding new datasets is a breeze.
-
CAP Locations
CoverageUSAUK+1CAP (Competitive Analytics Professionals) is the leading provider of Location Data in the United States, Canada and Great Britain.46K+Shopping Centers7.81B+Total Retail GLA Tracked98%Centers Geofenced -
Factori
CoverageUSAUK+247BMobility data was used to track where people flock during quarantine, and to understand how people moved out of the urban centers and to the provinces. Might also be used for retail clients to understand what adjustments are needed to adapt better to the situation.
Popular Use Cases for Restaurant Location Data
Restaurant location data is vital for optimizing operations and enhancing marketing efforts. Common use cases include:
- Point of Interest (POI) Mapping: Identifying restaurant locations and nearby landmarks for geospatial analysis.
- Point of Interest (POI) Marketing: Crafting targeted marketing campaigns based on proximity to high-traffic POIs.
- Competitor Analysis: Monitoring nearby restaurants to benchmark performance and refine strategies.
- Location Planning: Selecting optimal sites for new restaurant openings based on demographics, traffic patterns, and competitor density.
- Delivery Zone Optimization: Mapping serviceable delivery zones based on restaurant location and traffic flow.
- Customer Segmentation: Grouping customers by geographic and demographic attributes to design tailored experiences and offerings.
- Traffic Analytics: Analyzing foot and vehicle traffic near restaurant locations to determine peak hours and adjust operations accordingly.
Main Attributes of Restaurant Location Data
Restaurant location data provides key attributes that help businesses make strategic decisions about marketing, mapping, and operations.
- Restaurant Name
- Coordinates
- Cuisine Type
- Operating Hours
- Customer Rating
- Nearby POIs
- Promotional Offers
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 117 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 114 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 111 datasets | |
| String | The name of a city. | View 109 datasets | |
| String | The name of a brand. | View 100 datasets | |
| String | The postal code of an address. | View 99 datasets |
Why Is Restaurant Location Data Important?
Restaurant location data plays a role in helping businesses identify high-potential areas for new establishments.
For instance, POI mapping helps businesses visualize their restaurant’s proximity to high-traffic locations, such as malls or office complexes, ensuring maximum visibility. Additionally, POI marketing enables targeted promotions based on customer demographics and preferences in the area, enhancing engagement and driving foot traffic.
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.
