Restaurant Location Data: Best Restaurant Location Datasets & Databases
What is Restaurant Location Data?
Restaurant location data is geographic information about every restaurant in a certain location. Restaurant-owners, marketers and investors use this to locate sites for new restaurants, optimize their location-based marketing strategy, and pinpoint sales opportunities.Learn more
Recommended Restaurant Location Data Products
Xtract.io - Point-of-interest (POI Data) | All Restaurants and Food Stores in US and Canada
Quadrant Global Raw Location Data - Restaurant Traffic Data - 900+ Million Unique Devices
US Restaurant POI dataset with metadata
Data AI SOlution’s Google MAP Restaurant Data (e-mail, phone)
Location Data | Global Store Location Data on 41M+ POI | SafeGraph Places
Reomnify Restaurant Locations Dataset - Monthly, All markets
Restaurant Intelligence | Drive Orders with Better Visibility on Food Apps | Actowiz Solutions
London Restaurant Data (including metadata, websites, social profiles, contact details, price details, and more)
Quadrant Point-of-Interest (POI) Data - Restaurant Location Data - with custom, on-demand metadata and attributes
Restaurants and Public Alimentation Facilities POI Data for Republic of Moldova
More Restaurant Location Data Products
The Ultimate Guide to Restaurant Location Data 2023
 # What is Restaurant Location Data?
Restaurant location data is information about the geographic data of a restaurant in the vicinity. This data includes the complete address, owners, types of restaurants, and their competitors. The data may be in the form of address or geocodes – longitude and latitude. This data requires verification and authentication from authorities to avoid fraud. Restaurant location data is based on the registered application forms of new restaurant owners – renewals are also part of the data. This data enables marketers to create a location-based marketing strategy.
How is Restaurant Location Data collected?
Restaurant location data is collected through many sources. These sources include official websites, social media platforms, local tax revenue offices, and business registration authorities. These sources, in the form of a list or charts, are gathered and analyzed to create datasets. These datasets undergo data cleansing and filtering to eliminate duplications and incomplete data. Then, data is organized and compiled for data storage.
# What are the typical attributes of Restaurant Location Data?
Restaurant location data has many attributes. Here are some typical attributes:
• Owner information – this refers to data of the owner, type of restaurant, geographic location, capital, and contact details.
• Competitors – this refers to competitors that offer the same foods or similar style in a location and years of operation.
• Customer information – refers to data of the customers, buying patterns, and purchasing power.
• Sales – this refers to the overall income minus the expenses of the restaurant. This is organized via locations and the number of customers. Â
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What is Restaurant Location Data used for?
Restaurant location data is used for location-based marketing. Marketers and investors use this data to target a specific location based on food preferences. This data also helps investors pinpoint sales opportunities. Marketers also use this data for leads and lead generation. Restaurant location data helps investors gain insights into possible business partnerships among restaurant owners. This data also helps build customer relations and improvement of overall customer experience. Â
How can a user assess the quality of Restaurant Location Data?
To assess the quality of restaurant location data, users must ask providers where they got their data and what processes involve in creating their datasets. Good quality data must be accurate and reliable. Sources must have credibility and must be real-time. Since many restaurants are constantly opening whislt others are going bankrupt, data updating must also be observed. Aside from that, data providers must offer customer service information in case questions are raised and for feedback. Users may read online reviews to ensure credibility and ask for a data sample to counter-check its location validity.
Where can I buy Restaurant Location Data?
Data providers and vendors listed on Datarade sell Restaurant Location Data products and samples. Popular Restaurant Location Data products and datasets available on our platform are Xtract.io - Point-of-interest (POI Data) | All Restaurants and Food Stores in US and Canada by Xtract, Quadrant Global Raw Location Data - Restaurant Traffic Data - 900+ Million Unique Devices by Quadrant, and US Restaurant POI dataset with metadata by Geolytica.
How can I get Restaurant Location Data?
You can get Restaurant Location Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Restaurant Location Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Restaurant Location Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Restaurant Location Data?
Restaurant Location Data is similar to Business Listings Data, Store Location Data, Electric Vehicle Charging Stations Data, and Business Location Data. These data categories are commonly used for Point of Interest (POI) Mapping and Point of Interest (POI) Marketing.
What are the most common use cases for Restaurant Location Data?
The top use cases for Restaurant Location Data are Point of Interest (POI) Mapping and Point of Interest (POI) Marketing.