What is Restaurant Location Data? Examples, Datasets and Providers
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
On This Page:
- 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
Location Data | Beverage Place Geofences in US and Canada | Restaurant Location Data | Comprehensive Mapping
Global Quick Service Restaurant Location Data
Global Restaurant Location Data |Â Location + POI Data on 1M+ Restaurants
Global Restaurant Location Data | Ratings, Cuisine Type, Cost-to-dine + more
Restaurant Location Data Australia | 65k+ Restaurant, Cafes, Takeaway and other Consumer Food Outlet Businesses | Addresses, Contacts, Geo information
Quadrant Global Raw Location Data - Restaurant Traffic Data - 900+ Million Unique Devices
Restaurant Database Worldwide: 4M+ Restaurants, Bars and Cafes from 240 Countries, Expansion Opportunities
Factori High Fidelity Mobility Data| Precised Mobile Location Data:200 Billion+ Locations|
Point of Interest (POI) Data | Australia | Make Informed Site Selection Decisions | Business Location Data | Location Data
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Top Restaurant Location Data Providers & Companies
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SafeGraph
CoverageUSAUnited Kingdom+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
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Xtract
CoverageUSAUnited Kingdom+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.
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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.
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dataplor
CoverageUSAUnited Kingdom+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.
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Reomnify
CoverageUSAUnited Kingdom+247Power your analysis with the bespoke and off-the-shelf datasets created by our powerful data platform. We work across all markets and supply some... -
The Data Appeal Company
CoverageUSAUnited Kingdom+247VThe Data Appeal Company is a helpful partner. Their AI-driven datasets provide a comprehensive global view across industries. Their data fuels informed decisions and optimizes performance. It's a quietly powerful tool for businesses looking to stay ahead, offering a seamless customer experience and unmatched reliability. In a nutshell, it's the edge you need without the fanfare. Highly recommended for those serious about staying competitive. A solid 5 stars.
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 |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 89 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 75 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 70 datasets | |
| String | The name of a city. | View 69 datasets | |
| String | The phone number of a contact or organization. | View 61 datasets | |
| String | The name of a brand. | View 57 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.
