Xtract.io - Points of Interest (POI data) | Location data | Fast-food restaurant company | All Subway Brand locations in US and Canada
# | domain_id |
source |
name |
location_name |
address |
address_extended |
locality |
region |
postcode |
tel |
country |
amenities |
hours |
payment_method |
directions |
website |
latitude |
longitude |
naics_code |
naics_description |
chain_name |
location_type |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
---|---|---|---|
domain_id
|
Integer | 1443 | |
source
|
String | subway.com | |
name
|
String | Subway | |
location_name
|
String | Subway | |
address
|
String | 8470 US-72, Cherokee, AL 35616, United States | |
address_extended
|
|||
locality
|
String | Cherokee | |
region
|
String | AL | |
postcode
|
Integer | 35616 | |
tel
|
Integer | ||
country
|
String | US | |
amenities
|
String | Catering, Mobile Ordering | |
hours
|
String | [{"days":["mon","tue","wed","thu","fri","sat","sun"],"sta... | |
payment_method
|
|||
directions
|
|||
website
|
String | https://www.subway.com/en-US/ExploreOurWorld | |
latitude
|
Float | 34.7530872 | |
longitude
|
Float | -87.9714547 | |
naics_code
|
Integer | 722511 | |
naics_description
|
String | Full-Service Restaurants | |
chain_name
|
String | Subway | |
location_type
|
String | brand store |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Subway | POI Name | |
String | Address | ||
Text | Cherokee | City Name | |
Text | Alabama | State Name | |
Text | US | Country Code Alpha-2 | |
Integer | 35616 | ZIP Code | |
Integer | Phone Number | ||
Decimal | 34.7530828 | Latitude | |
Decimal | -87.9714547 | Longitude |
Description
Geography
History
Volume
23,100 | Locations |
Pricing
License | Starts at |
---|---|
One-off purchase |
$868 / 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 Xtract.io - Points of Interest (POI data) Location data Fast-food restaurant company All Subway Brand locations in US and Canada?
This product consists of point-of-interest data (POI) for all the Subway brand’s - fast food restaurant locations in US and Canada
What is Xtract.io - Points of Interest (POI data) Location data Fast-food restaurant company All Subway Brand locations in US and Canada used for?
This product has 5 key use cases. Xtract recommends using the data for Location Analytics, Location-based Targeting, Retail Site Selection, Point of Interest (POI) Mapping, and Location Insights. Global businesses and organizations buy Location Data from Xtract to fuel their analytics and enrichment.
Who can use Xtract.io - Points of Interest (POI data) Location data Fast-food restaurant company All Subway Brand locations in US and Canada?
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 Xtract.io - Points of Interest (POI data) Location data Fast-food restaurant company All Subway Brand locations in US and Canada go?
This Tabular Data has 12 months of historical coverage. It can be delivered on a monthly, quarterly, yearly, and on-demand basis.
Which countries does Xtract.io - Points of Interest (POI data) Location data Fast-food restaurant company All Subway Brand locations in US and Canada cover?
This product includes data covering 2 countries like USA and Canada. Xtract is headquartered in United States of America.
How much does Xtract.io - Points of Interest (POI data) Location data Fast-food restaurant company All Subway Brand locations in US and Canada cost?
Pricing for Xtract.io - Points of Interest (POI data) Location data Fast-food restaurant company All Subway Brand locations in US and Canada starts at USD868 per purchase. Connect with Xtract to get a quote and arrange custom pricing models based on your data requirements.
How can I get Xtract.io - Points of Interest (POI data) Location data Fast-food restaurant company All Subway Brand locations in US and Canada?
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 .bin, .json, .csv, .xls, and .txt format.
What is the data quality of Xtract.io - Points of Interest (POI data) Location data Fast-food restaurant company All Subway Brand locations in US and Canada?
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 Xtract.io - Points of Interest (POI data) Location data Fast-food restaurant company All Subway Brand locations in US and Canada?
This Tabular Data has 3 related products. These alternatives include Xtract.io - Point-of-Interest (POI) Data Locations data All Focus Brands restaurant locations in US and Canada, Grepsr Comprehensive Dataset of Fast-food Chains’ Store (Starbucks, Mcdonalds, Subway, & more) Location, and The Data Appeal Location Data, Point of Interest (POI) Data and Map Data API, Dataset 200 Million + POI Data Mapped Coverage from 2019. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.