Global Restaurant Location Data | Ratings, Cuisine Type, Cost-to-dine + more
Verified Data Provider| # | 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
Country Coverage
Volume
| 80,000 | locations |
| 1 | update monthly |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more?
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 Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more 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 Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more?
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 Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Reomnify is headquartered in Singapore.
How much does Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more cost?
Pricing information for Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more 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 Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more?
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 Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more?
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 Global Restaurant Location Data Ratings, Cuisine Type, Cost-to-dine + more?
This product has 3 related products. These alternatives include Location Data Global Location Data on 52M+ POI SafeGraph Places, Global POI & Polygon Data Location Data Geofence Insights Comprehensive Coverage, and Global Location Data 312+ Million Locations & Places. 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.
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