Reomnify Restaurant Locations Dataset - Monthly, All markets
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx |
2 | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx |
3 | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx |
4 | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx |
5 | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx |
6 | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx |
7 | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx |
8 | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx |
9 | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx |
10 | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx |
... | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx |
Data Dictionary
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
Geography
Volume
80,000 | locations |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Reomnify Restaurant Locations Dataset - Monthly, All markets?
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 Restaurant Locations Dataset - Monthly, All markets 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 Restaurant Locations Dataset - Monthly, All markets?
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 Restaurant Locations Dataset - Monthly, All markets cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Reomnify is headquartered in Singapore.
How much does Reomnify Restaurant Locations Dataset - Monthly, All markets cost?
Pricing information for Reomnify Restaurant Locations Dataset - Monthly, All markets 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 Restaurant Locations Dataset - Monthly, All markets?
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 Restaurant Locations Dataset - Monthly, All markets?
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 Restaurant Locations Dataset - Monthly, All markets?
This Tabular Data has 3 related products. These alternatives include Location Data Global Store Location Data on 51M+ POI SafeGraph Places, Factori Location Intelligence with Profile POI + People Data , and Grepsr Comprehensive Dataset of Walgreens US Stores Across the United States. 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.