Reomnify | Global Restaurant Location Data | Ratings, Cuisine Type, Cost-to-dine + more | Monthly Updates product image in hero

Reomnify | Global Restaurant Location Data | Ratings, Cuisine Type, Cost-to-dine + more | Monthly Updates

Reomnify
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Store ID
Store Location Name
Brand Name
Brand ID
Latitude
Longitude
Category
City/Suburb
Region/State
Postal_Code
Address
Cost For One
Cost For Two
Cuisines
SA1
SA2
SA3
SA4
Snapshot Date
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Volume
80K
locations
Data Quality
95%
match rate
Avail. Formats
.csv and .xls
File
Coverage
249
Countries

Data Dictionary

[Sample] Reomnify Restaurant Sample Oct 2023 - NSW Australia.csv
Attribute Type Example Mapping
Store ID
String ro:f74d29b6-1e6a-4626-9261-816f2e7d6d0b
Store Location Name
String Little Red Cafe + Takeaway
Brand Name
Brand ID
Latitude
Float -31.86791513
Longitude
Float 152.3715511
Category
String Restaurants
City/Suburb
String WINGHAM
Region/State
String NSW
Postal_Code
Integer 2429
Address
String Shop 10, Wingham Plaza
Cost For One
String $10
Cost For Two
String $20
Cuisines
String Cafe
SA1
Integer 10805117112
SA2
Integer 108051171
SA3
Integer 10805
SA4
Integer 108
Snapshot Date
DateTime 2023-10-31T00:00:00+00:00

Description

Reomnify tracks, monthly, the locations and categories of all branded and independent Restaurants, Cafes and Takeaways in any market (eg 40,000+ locations covered in Australia). Used by retailers, landlords, advisors and PropTechs to drive location, competition and investment decisions.
For any given market, we identify the locations of all F&B locations (restaurants, cafes, takeaways). We gather this data from a large number of online sources and check, clean and standardise the dataset. Major firms like Stockland REIT leverage this data to inform: - Tracking gentrification - Optimise F&B tenant offering - Location strategy - Trade area analysis We have data available off-the-shelf for a number of major markets, and can create new market datasets as quickly as within 3-4 weeks. Why work with us? - Clean, comprehensive and credible datasets - 61% cost savings compared to traditional data sourcing and processing methods - 89% time savings compared to traditional data sourcing and processing methods - Customizable datasets to your needs

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

Volume

80,000 locations

Pricing

Revenue share is available at 20%
Reomnify has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
95%
match rate

Delivery

Methods
S3 Bucket
SFTP
Email
UI Export
Frequency
weekly
monthly
quarterly
yearly
on-demand
Format
.csv
.xls

Use Cases

Location Intelligence
Location Analytics
Retail Site Selection
Expansion Strategy Development
Location Planning

Categories

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Frequently asked questions

What is Reomnify Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more Monthly Updates?

Reomnify tracks, monthly, the locations and categories of all branded and independent Restaurants, Cafes and Takeaways in any market (eg 40,000+ locations covered in Australia). Used by retailers, landlords, advisors and PropTechs to drive location, competition and investment decisions.

What is Reomnify Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more Monthly Updates used for?

This product has 5 key use cases. Reomnify recommends using the data for Location Intelligence, Location Analytics, Retail Site Selection, Expansion Strategy Development, and Location Planning. Global businesses and organizations buy Store Location Data from Reomnify to fuel their analytics and enrichment.

Who can use Reomnify Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more Monthly Updates?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Store Location Data. Get in touch with Reomnify to see what their data can do for your business and find out which integrations they provide.

Which countries does Reomnify Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more Monthly Updates cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Reomnify is headquartered in Singapore.

How much does Reomnify Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more Monthly Updates cost?

Pricing information for Reomnify Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more Monthly Updates is available by getting in contact with Reomnify. Connect with Reomnify to get a quote and arrange custom pricing models based on your data requirements.

How can I get Reomnify Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more Monthly Updates?

Businesses can buy Store Location Data from Reomnify and get the data via S3 Bucket, SFTP, Email, and UI Export. Depending on your data requirements and subscription budget, Reomnify can deliver this product in .csv and .xls format.

What is the data quality of Reomnify Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more Monthly Updates?

Reomnify has reported that this product has the following quality and accuracy assurances: 95% match rate. You can compare and assess the data quality of Reomnify using Datarade’s data marketplace. Reomnify appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? .

What are similar products to Reomnify Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more Monthly Updates?

This product has 3 related products. These alternatives include Location Data Global Location Data on 52M+ POI SafeGraph Places, GapMaps Premium Location Data Asia/MENA Leading Retail Brands Monthly Tracking, and The Data Appeal Point of Interest (POI) Data Location Data Map Data 200 Million + POI Data Mapped Sentiment & Popularity insights. You can compare the best Store Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request