Buy Restaurant Data

Restaurant data refers to information about eateries, including their location, cuisine, ratings, and delivery services. This information Is often used with vacation data, and can be useful when planning a company outing or offsite. Learn more →
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Our Data Partners
10K Images
1 country covered
This dataset will help train models on Pose Estimation, Restaurant Foot Traffic Analysis, Food Analysis, Sentiment Analysis, etc.
Indian Food Items
by Automaton AI
1K Images
1 country covered
This data contains various Indian food items which can be used for food analysis, nutritional value analysis, food identification, calorie estimation , etc.
Foot Traffic Dataset
by Automaton AI
15K Images
1 country covered
This dataset is collected from various locations like restaurants, public occasions, crowdy places, cafe, etc.
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Based in USA
Zipscene is a data provider offering Point-of-Sale (POS) Data and Restaurant Data. They are headquartered in United States of America.
Black Box (TDn2k)
Based in USA
Black Box (TDn2k) is a data provider offering Restaurant Data. They are headquartered in United States of America.
Gastronomy Databases
Based in Austria
Gastronomy Databases is a data provider offering Restaurant Data. They are headquartered in Austria. Gastronomy Databases offers datasets in countries such a...
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The Ultimate Guide to Restaurant Data 2021

Learn everything about Restaurant Data. Understand data sources, popular use cases, and data quality.

What is Restaurant Data?

Restaurant data refers to information that highlights the distribution of food chains and their precise line of services. This information may include the exact location of restaurants, their line of service in terms of cuisine they deal in, ratings as provided for by previous users, and information about delivery and outside catering services. Restaurant data usually comes in handy when used together with vacation and travel data.

How is Restaurant Data collected?

The collection of restaurant data is motivated by managers’ need to attract customers, retain them, and predict important marketing concepts currently available in the restaurant industry. Based on this fact, data collection in restaurants can either be from a primary source, which is data provided by the restaurant itself and made publicly available, or by third-party secondary sources that involve service providers devoted to collecting data about restaurant locations, their line of operations and customer reviews. Restaurants collect data about customers in their point of sale systems and apply it in the process of customer profiling, site selection, forecasting, customer relationship management, menu design, and overall productivity indexing. This information is therefore made available to third-party vendors who may use it to design marketing strategies as per the outsourcing terms provided by the restaurants.

What are the attributes of Restaurant Data?

The key attributes of restaurant data highlight recorded information about the precise location of the listed restaurants, and their line of operations such as fast-food chains, coffee, and beverage shops, and delivery and outside catering services. Additionally, restaurant data is also attributable to information concerning restaurant reviews that are provided by customers to evaluate the quality of service and delivery, menu items listed, and the cost of food. Some datasets and databases also show information about food establishment inspection scores for some restaurants, an attribute that is meant to show how effectively restaurants adhere to food safety standards.

What are the uses of Restaurant Data?

The availability of restaurant data is an important factor not only for people looking to seek out the services of the restaurant but also for the restaurant itself. This data helps potential customers track down the exact locations of restaurants which can either be chain locations, independent locations, location owners, and franchise delineated locations. From the restaurant reviews that may appear in some datasets, potential customers can make informed decisions concerning the best restaurant to seek services from by comparing the price ranges, and quality of service rendered. For restaurants, this data is important in helping the management gauge the performance of the restaurant and how best to customize marketing strategies as per the restaurant data. Datasets that provide information about restaurant inspections can be crucial especially for industry regulators and authorities to keep track of how restaurants adhere to the set standards of operation.

How can a user assess the quality of Restaurant Data?

The quality of restaurant data can be assessed by a user by considering the aspect of the level of completion and accuracy of information provided in the dataset. For a user looking to know the exact location of a given restaurant, incomplete and inaccurate information may lead to frustration due to time and resources lost in trying to find the restaurant. It is therefore imperative that this data is as accurate as possible in terms of location tracing and the precise line of operations the restaurant is involved with. Time is an important variable of quality for restaurant data. The data must therefore be up to date to help visualize the exact real-time attributes of the restaurant.

Who are the best Restaurant Data providers?

Finding the right Restaurant Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Restaurant Data providers that you might want to buy Restaurant Data from are Zipscene, Black Box (TDn2k), Gastronomy Databases, HDScores, and

Where can I buy Restaurant Data?

Data providers and vendors listed on Datarade sell Restaurant Data products and samples. Popular Restaurant Data products and datasets available on our platform are Restaurant Multi-camera CCTV Dataset by Automaton AI , Indian Food Items by Automaton AI , and Foot Traffic Dataset by Automaton AI .

How can I get Restaurant Data?

You can get Restaurant Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Restaurant 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 Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Restaurant Data?

Restaurant Data is similar to Vacation Rental Data, Travel Intent Data, Flight Data, Short-Term Rental Data, and Hotel Rates & Pricing Data. These data categories are commonly used for Restaurant Data analytics.