Location Data | Restaurant and Food Store Locations in US and Canada | Accurate POI Data | Detailed Store Insights
# | location_id |
location_name |
address |
city |
state |
zip |
monday |
tuesday |
wednesday |
thursday |
friday |
saturday |
sunday |
website |
ratings |
number_of_reviews |
type(cuisine |
delivery |
dine_in_facility |
parking_facility |
payment_method |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx |
2 | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx |
3 | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx |
4 | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx |
5 | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
6 | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx |
7 | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx |
8 | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx |
9 | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx |
10 | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx |
... | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
location_id
|
Integer | 2 | |
location_name
|
String | Panera Bread | |
address
|
String | 5065 Main Street | |
city
|
String | Trumbull | |
state
|
String | CT | |
zip
|
Integer | 6611 | |
monday
|
String | 8:00 AM - 7:30 PM | |
tuesday
|
String | 8:00 AM - 7:30 PM | |
wednesday
|
String | 8:00 AM - 7:30 PM | |
thursday
|
String | 8:00 AM - 7:30 PM | |
friday
|
String | 8:00 AM - 7:30 PM | |
saturday
|
String | 10:00 AM - 7:30 PM | |
sunday
|
String | 11:00 AM - 6:00 PM | |
website
|
String | https://www.panerabread.com/ | |
Integer | Contact Phone Number | ||
ratings
|
Float | 2.8 | |
number_of_reviews
|
Integer | 43 | |
type(cuisine
|
String | Sandwiches, Salad, Soup | |
delivery
|
String | Offers Delivery : AVAILABLE|Offers Takeout : AVAILABLE | |
dine_in_facility
|
String | Outdoor Seating : AVAILABLE | |
parking_facility
|
String | Private Lot Parking : AVAILABLE|Bike Parking : AVAILABLE | |
payment_method
|
String | Accepts Credit Cards : AVAILABLE|Accepts Apple Pay : AVAI... |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | McDonalds | POI Name | |
String | Address | ||
String | Manhattan | City Name | |
String | New York | State Name | |
String | 10001 | Postal Code | |
String | Contact Phone Number |
Description
Country Coverage
History
Volume
943,000 | Locations |
Pricing
License | Starts at |
---|---|
One-off purchase |
$20,000 / purchase |
Monthly License | Not available |
Yearly License | Not available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Location Data Restaurant and Food Store Locations in US and Canada Accurate POI Data Detailed Store Insights?
Extensive US food and dining POI database with 943K locations. Covers restaurants, dessert parlors, bakeries, cafes, and more. Ideal for market analysis, trend spotting, and strategic planning in the food service industry. High-quality data enables confident business decisions.
What is Location Data Restaurant and Food Store Locations in US and Canada Accurate POI Data Detailed Store Insights used for?
This product has 5 key use cases. Xtract recommends using the data for Location-based Marketing, Audience Targeting, Market Intelligence, Retail Site Selection, and Competitive Intelligence. Global businesses and organizations buy Location Data from Xtract to fuel their analytics and enrichment.
Who can use Location Data Restaurant and Food Store Locations in US and Canada Accurate POI Data Detailed Store Insights?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Location Data. Get in touch with Xtract to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Location Data Restaurant and Food Store Locations in US and Canada Accurate POI Data Detailed Store Insights go?
This product has 12 months of historical coverage. It can be delivered on a weekly, monthly, quarterly, yearly, and on-demand basis.
Which countries does Location Data Restaurant and Food Store Locations in US and Canada Accurate POI Data Detailed Store Insights cover?
This product includes data covering 2 countries like USA and Canada. Xtract is headquartered in United States of America.
How much does Location Data Restaurant and Food Store Locations in US and Canada Accurate POI Data Detailed Store Insights cost?
Pricing for Location Data Restaurant and Food Store Locations in US and Canada Accurate POI Data Detailed Store Insights starts at USD20,000 per purchase. Connect with Xtract to get a quote and arrange custom pricing models based on your data requirements.
How can I get Location Data Restaurant and Food Store Locations in US and Canada Accurate POI Data Detailed Store Insights?
Businesses can buy Location Data from Xtract and get the data via S3 Bucket, SFTP, and Email. Depending on your data requirements and subscription budget, Xtract can deliver this product in .json, .xml, .csv, .xls, and .txt format.
What is the data quality of Location Data Restaurant and Food Store Locations in US and Canada Accurate POI Data Detailed Store Insights?
Xtract has reported that this product has the following quality and accuracy assurances: 96% Accuracy, 95% Coverage. You can compare and assess the data quality of Xtract using Datarade’s data marketplace. Xtract has received 1 review from clients. Xtract appears on selected Datarade top lists ranking the best data providers, including Top 10 POI Data Providers & APIs.
What are similar products to Location Data Restaurant and Food Store Locations in US and Canada Accurate POI Data Detailed Store Insights?
This product has 3 related products. These alternatives include Locations Data McDonald’s Fast-Food Restaurant Locations in US and Canada Comprehensive POI Coverage, CPG Data Retail Store Location Data 52M+ POI SafeGraph Places, and Point of Interest (POI) Data Indonesia Track Store Openings and Closures for Leading Retail Brands Business Location Data Location Data. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.