Let data providers come to you!

Post your request to reach 1240+ data providers and find the best match for your data needs

How it works

Tell us what you need
2-3 mins
Receive proposals
within 24 hours
Connect with providers
Post request now
Post your data request
Filter by

Best Restaurants Dataset for Data Analysis

Restaurant datasets are collections of structured information about various restaurants, including their names, locations, contact details, cuisines, menus, ratings, reviews, and other relevant attributes. These datasets provide valuable insights for businesses and individuals looking to analyze the restaurant industry, identify market trends, conduct competitor analysis, or build applications related to food and dining. With restaurant datasets, users can gain a comprehensive understanding of the dining landscape, make data-driven decisions, and enhance their offerings in the food service sector.

220 results
Logo of ScrapeLabs

DoorDash Restaurants List (all 294k records) | scrapelabs.io

by ScrapeLabs
5.0
City Name
Phone Number
Website
Available in
USA
Logo of MealMe

Global Restaurant Data | Menus from top 1M+ Restaurants with Prices

by MealMe
Latitude
POI Opening Hours
POI Category
Product Name
URL
and 1 more attribute
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of Xtract

Restaurant Location Data | All Inspire Brands Restaurant Locations in US and Canada | Retail Store Restaurant Data | Tourist Attraction Data

by Xtract
5.0
Postal Code
Address
Latitude
Longitude
City Name
and 11 more attributes
Available in
USA
Canada
Logo of dataplor

Global Bar & Restaurant Data | Point of Interest (POI) Data | 31M+ Locations

by dataplor
5.0
Postal Code
Address
Latitude
Longitude
City Name
and 19 more attributes
Available in
USA
UK
Germany
France
Italy
and 244 more countries
Logo of 99finder

Restaurant Database Worldwide: 4M+ Restaurants, Bars and Cafes from 240 Countries, Expansion Opportunities

by 99finder
Email Address
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of SafeGraph

Restaurant Location Data | Global Restaurant POIs | SafeGraph Places

by SafeGraph
5.0
Postal Code
Address
Latitude
Longitude
City Name
and 6 more attributes
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of AutoScraping

Autoscraping | USA Restaurant Data | 500K+ Listings with Addresses, Ratings & Delivery Fees

by AutoScraping
Available in
USA
Logo of Consumer Edge

Transact Restaurants Transaction Data | USA Data | 100M Credit & Debit Cards, 12K Merchants, 800 Parent Companies, 600 Tickers

by Consumer Edge
Available in
USA
Logo of Xverum

Store Location Data | 230M+ Global POIs & Retail Locations | 5000+ Categories with Restaurant, Retail & Business Coverage

by Xverum
5.0
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of Grepsr

Restaurant and Food Menu Data| 99% Data Accuracy|Global Coverage with Custom and On-demand Datasets|Competitive Analysis and Strategy

by Grepsr
5.0
Address
Latitude
Longitude
City Name
ZIP Code
and 1 more attribute
Available in
USA
UK
Germany
France
Italy
and 244 more countries

What is a restaurant dataset?

A restaurant dataset is a collection of structured information about various restaurants, including their names, locations, contact details, cuisines, menus, ratings, reviews, and other relevant attributes.

How can restaurant datasets be used?

Restaurant datasets can be used for various purposes, such as analyzing the restaurant industry, identifying market trends, conducting competitor analysis, or building applications related to food and dining. They provide valuable insights and enable users to make data-driven decisions.

What kind of information is included in a restaurant dataset?

A restaurant dataset typically includes information such as the restaurant’s name, address, phone number, website, opening hours, cuisine type, menu items, prices, ratings, reviews, and other relevant attributes that describe the restaurant and its offerings.

Where can I find restaurant datasets?

Restaurant datasets can be found on various platforms and websites that provide open data or commercial data services. Some popular sources include government data portals, restaurant review websites, and data marketplaces.

How can I analyze a restaurant dataset?

To analyze a restaurant dataset, you can use data analysis tools and techniques such as data visualization, statistical analysis, and machine learning algorithms. These methods can help you uncover patterns, trends, and insights from the dataset to inform your decision-making process.

Are restaurant datasets free?

The availability and cost of restaurant datasets vary depending on the source and the specific dataset. Some datasets may be freely available for public use, while others may require a subscription or purchase. It is important to check the terms and conditions of the dataset provider to understand any usage restrictions or costs involved.