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Global Restaurant Location Data | Location + POI Data on 1M+ Restaurants
# | name |
_id |
lineage |
image |
price |
store_name |
store_uuid |
link |
local_hours |
pickup_enabled |
delivery_enabled |
store_type |
updated |
street_addr |
city |
state |
zipcode |
country |
lat |
lon |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
2 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
3 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
4 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
5 | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
6 | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
7 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
8 | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
9 | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
10 | 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 | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx |
# | name |
_id |
lineage |
image |
price |
store_name |
store_uuid |
link |
local_hours |
pickup_enabled |
delivery_enabled |
store_type |
updated |
street_addr |
city |
state |
zipcode |
country |
lat |
lon |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
2 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
3 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
4 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
5 | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
6 | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
7 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
8 | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
9 | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
10 | 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 | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
name
|
String | Sausage Mcmuffin | |
_id
|
String | 36677:78#0 | |
lineage
|
String | [{'category_id': '301', 'category_name': 'Mcvalue Menu'}] | |
image
|
String | https://us-prod5-digitalasset.s3.amazonaws.com/MO_202411_... | |
price
|
Integer | 0 | |
store_name
|
String | McDonald's | |
store_uuid
|
Integer | 36677 | |
link
|
String | https://www.mcdonalds.com/us/en-us/location/ca/san-franci... | |
local_hours
|
String | {'Monday': '06:00AM - 12:00AM', 'Tuesday': '06:00AM - 12:... | |
pickup_enabled
|
Boolean | t | |
delivery_enabled
|
Boolean | t | |
store_type
|
String | restaurant | |
updated
|
String | 01/22/2025 | |
street_addr
|
String | 441 Sutter St | |
city
|
String | San Francisco | |
state
|
String | CA | |
zipcode
|
Integer | 94108 | |
country
|
String | US | |
lat
|
Float | 37.789217 | |
lon
|
Float | -122.407641 |
Attribute | Type | Example | Mapping |
---|---|---|---|
name
|
String | Acai Bowl | |
_id
|
String | 3a78fcd5-be51-4988-a5fd-b5f6fa544364:b625eae7-1fcc-4476-8... | |
lineage
|
String | [{'category_id': '43eece5d-d2e4-4315-96e3-f9f6ef000213', ... | |
image
|
String | https://s3.amazonaws.com/toasttab/restaurants/restaurant-... | |
price
|
Integer | 1189 | |
store_name
|
String | Crave Protein Cafe #108 | |
store_uuid
|
String | 3a78fcd5-be51-4988-a5fd-b5f6fa544364 | |
link
|
String | https://order.toasttab.com/online/crave-protein-cafe-143-... | |
local_hours
|
String | {'Monday': 'Closed', 'Tuesday': '08:00AM - 03:45AM', 'Wed... | |
pickup_enabled
|
Boolean | f | |
delivery_enabled
|
Boolean | t | |
store_type
|
String | restaurant | |
updated
|
String | 01/24/2025 | |
street_addr
|
String | 143 East Germann Road | |
city
|
String | Gilbert | |
state
|
String | AZ | |
zipcode
|
Integer | 85297 | |
country
|
String | US | |
lat
|
Float | 33.276519 | |
lon
|
Float | -111.786611 |
Description
Country Coverage
History
Volume
20 million | Restaurant Menu items |
1 million | Restaurant Locations |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Global Restaurant Location Data Location + POI Data on 1M+ Restaurants?
MealMe provides comprehensive restaurant location data, including prices, from the top 100,000 restaurants across the USA and Canada. Our real-time, accurate data empowers businesses with actionable insights for market research, competitive analysis, pricing strategies, and trend forecasting.
What is Global Restaurant Location Data Location + POI Data on 1M+ Restaurants used for?
This product has 5 key use cases. MealMe recommends using the data for Pricing Strategy, Pricing Optimization, Company Analysis, Market Share Analysis, and Pricing Analysis. Global businesses and organizations buy Store Location Data from MealMe to fuel their analytics and enrichment.
Who can use Global Restaurant Location Data Location + POI Data on 1M+ Restaurants?
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 MealMe to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Global Restaurant Location Data Location + POI Data on 1M+ Restaurants go?
This product has 1 years of historical coverage. It can be delivered on a secondly, minutely, hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does Global Restaurant Location Data Location + POI Data on 1M+ Restaurants cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. MealMe is headquartered in United States of America.
How much does Global Restaurant Location Data Location + POI Data on 1M+ Restaurants cost?
Pricing information for Global Restaurant Location Data Location + POI Data on 1M+ Restaurants is available by getting in contact with MealMe. Connect with MealMe to get a quote and arrange custom pricing models based on your data requirements.
How can I get Global Restaurant Location Data Location + POI Data on 1M+ Restaurants?
Businesses can buy Store Location Data from MealMe and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, SOAP API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, MealMe can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.
What is the data quality of Global Restaurant Location Data Location + POI Data on 1M+ Restaurants?
MealMe has reported that this product has the following quality and accuracy assurances: 100% Accurate Product Prices, 100% Realtime (if needed), 100% Accurate POI Data. You can compare and assess the data quality of MealMe using Datarade’s data marketplace.
What are similar products to Global Restaurant Location Data Location + POI Data on 1M+ Restaurants?
This product has 3 related products. These alternatives include Location Data Global Location Data on 56M+ POI SafeGraph Places, The Data Appeal Global Business Location Data 200 Million+ POI Data Mapped Coverage from 2019 API, Dataset, and Global Location Data 350+ Million Locations & Places POI Data Foot Traffic Insights No PII. 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.