Xtract.io - Point of interest (POI Data) | All Restaurant and Food Stores in US and Canada product image in hero

Xtract.io - Point of interest (POI Data) | All Restaurant and Food Stores in US and Canada

Xtract
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#
location_id
location_name
address
city
state
zip
monday
tuesday
wednesday
thursday
friday
saturday
sunday
website
contact_number
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
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4 xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx
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8 Xxxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxx Xxxxxxx xxxxxxxxx Xxxxx xxxxx Xxxxxx xxxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxx Xxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx
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10 Xxxxxxxx xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx xxxxxxxxxx xxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx
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Sign In To Preview Data
Volume
943K
Locations
Data Quality
95%
Coverage
Avail. Formats
.json, .xml, and .csv
File
Coverage
2
Countries
History
12
months

Data Dictionary

[Sample] Restaurants_Sampledata_23Nov2023.csv
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/
contact_number
Integer ##########
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...
Product Attributes
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

The point of interest (POI) data from LocationsXYZ consists of 943K US location information of outlets in the food and dining industry. The database includes restaurants, dessert parlors, and confectionaries such as bakeries, cafes, chocolate, and candy stores.
Point of interest, or places data 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.

Geography

North America (2)
Canada
United States of America

History

12 months of historical data

Volume

943,000 Locations

Pricing

Free sample available
License Starts at
One-off purchase
$20,000 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available

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
weekly
monthly
quarterly
yearly
on-demand
Format
.json
.xml
.csv
.xls
.txt

Use Cases

Location-based Analytics
Point of Interest (POI) Mapping
Location Visualization
Location Insights
Foot Traffic Analysis

Categories

Related Searches

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Frequently asked questions

What is Xtract.io - Point of interest (POI Data) All Restaurant and Food Stores in US and Canada?

The point of interest (POI) data from LocationsXYZ consists of 943K US location information of outlets in the food and dining industry. The database includes restaurants, dessert parlors, and confectionaries such as bakeries, cafes, chocolate, and candy stores.

What is Xtract.io - Point of interest (POI Data) All Restaurant and Food Stores in US and Canada used for?

This product has 5 key use cases. Xtract recommends using the data for Location-based Analytics, Point of Interest (POI) Mapping, Location Visualization, Location Insights, and Foot Traffic Analysis. Global businesses and organizations buy Location Data from Xtract to fuel their analytics and enrichment.

Who can use Xtract.io - Point of interest (POI Data) All Restaurant and Food Stores 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 - Point of interest (POI Data) All Restaurant and Food Stores in US and Canada go?

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

Which countries does Xtract.io - Point of interest (POI Data) All Restaurant and Food Stores 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 - Point of interest (POI Data) All Restaurant and Food Stores in US and Canada cost?

Pricing for Xtract.io - Point of interest (POI Data) All Restaurant and Food Stores in US and Canada 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 Xtract.io - Point of interest (POI Data) All Restaurant and Food Stores 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 .json, .xml, .csv, .xls, and .txt format.

What is the data quality of Xtract.io - Point of interest (POI Data) All Restaurant and Food Stores 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 - Point of interest (POI Data) All Restaurant and Food Stores in US and Canada?

This Tabular Data has 3 related products. These alternatives include Xtract.io - Point-of-Interest (POI) Data Locations data All Darden restaurant locations in US, The Data Appeal Location Data, Point of Interest (POI) Data and Map Data API, Dataset 200 Million + POI Data Mapped Coverage from 2019, and Echo Analytics POI Data 17M Locations available in USA Points of Interest (POIs) USA. 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
$20,000 / purchase
License Starts at
One-off purchase
$20,000 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available