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Home/Geospatial Data/Location Data/
Xtract.io - Location Data | Fast-Food Restaurant Company | All Subw...
Xtract.io - Location Data | Fast-Food Restaurant Company | All Subway Brand L...
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Xtract.io - Location Data | Fast-Food Restaurant Company | All Subway Brand Locations in US and Canada product image in hero

Xtract.io - Location Data | Fast-Food Restaurant Company | All Subway Brand Locations in US and Canada

Xtract
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Contact Provider Save for later
Data Samples
Subway.csv
#
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
Sign In To Preview Data
Subway.csv
Volume
23.1K
Locations
Data Quality
95%
Coverage
Avail. Formats
.bin, .json, and .csv
File
Coverage
2
Countries
History
12
months

Data Dictionary

[Sample] Subway.csv
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 ########## Phone Number
country
 String US Country Code Alpha-2
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
Product Attributes
Attribute Type Example Mapping
POI Name
 String Subway POI Name
Address
 String #### **-##, ********, ** #####, ****** ****** Address
City
 Text Cherokee City Name
State
 Text Alabama State Name
Country_Code
 Text US Country Code Alpha-2
Postal Code
 Integer 35616 ZIP Code
Contact number
 Integer ########## Phone Number
Latitude
 Decimal 34.7530828 Latitude
Longitude
 Decimal -87.9714547 Longitude

Description

Detailed POI data for all Subway restaurant locations in the US and Canada. Supports comprehensive analysis of one of the world's largest fast-food chains.
Point-of-interest or POI data, i.e., the exact location of the building, store, or a specific place has now become vital information for businesses to take smarter geography-driven decisions. LocationsXYZ, POI data product of Xtract.io, consists of 6 million location data from US, UK, and Canada, across 11 diverse industries such as retail, restaurants, healthcare, automotive, public utility points such as ATMs, park & ride locations, shopping malls, and many more. At LocationsXYZ, we: - ensure that our points of interest (POI) data is 95% accurate - refresh our POIs every 30/60/90 days to ensure recency - create on-demand POI data based on your requirement - handcraft the boundaries (or geofences) of the location for better accuracy - deliver POI and polygon data in multiple file format With point-of-interest data, - perform a thorough market analysis - choose your next store location accurately - understand your consumer behavior and - gain competitive insights LocationsXYZ has helped many of its customers to unlock business insights using geo-spatial data. Join us now and get access to our database to scale your business growth.

Country Coverage

North America (2)
Canada
United States of America

History

12 months of historical data

Volume

23,100 Locations

Pricing

Free sample available
License Starts at
One-off purchase
$868 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available
Request detailed pricing

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
95%
Coverage
96%
Accuracy

Delivery

Methods
S3 Bucket
SFTP
Email
Frequency
monthly
quarterly
yearly
on-demand
Format
.bin
.json
.csv
.xls
.txt

Use Cases

Location Analytics
Location-based Targeting
Retail Site Selection Point of Interest (POI) Mapping Location Insights

Categories

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Frequently asked questions

What is Xtract.io - Location Data Fast-Food Restaurant Company All Subway Brand Locations in US and Canada?

Detailed POI data for all Subway restaurant locations in the US and Canada. Supports comprehensive analysis of one of the world’s largest fast-food chains.

What is Xtract.io - 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 - 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 - Location Data Fast-Food Restaurant Company All Subway Brand Locations in US and Canada go?

This product has 12 months of historical coverage. It can be delivered on a monthly, quarterly, yearly, and on-demand basis.

Which countries does Xtract.io - 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 - Location Data Fast-Food Restaurant Company All Subway Brand Locations in US and Canada cost?

Pricing for Xtract.io - 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 - 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 - 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 - Location Data Fast-Food Restaurant Company All Subway Brand Locations in US and Canada?

This product has 3 related products. These alternatives include Xtract.io - Location Data All Focus Brands Restaurant Locations in US and Canada, Grepsr Comprehensive Dataset of Fast-food Chains’ Store (Starbucks, Mcdonalds, Subway, & more) Location, and SafeGraph: Location Data - Global Coverage 52M+ POIs. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$868 / purchase
License Starts at
One-off purchase
$868 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available

Xtract

Location Intelligence Soutions with Accurate POI Data
Verified provider icon Verified Provider
100% Response rate