Xtract.io - Point of Interest (POI data) | Location data | Places Data | 3.5M+ POIs in US and Canada
# | domain_id |
source |
name |
address_extended |
locality |
region |
tel |
amenities |
hours |
payment_method |
directions |
chain_name |
category_labels |
wifi |
play_area |
reservations |
wheelchair_accessible |
hotels_valet_parking |
atm |
open_24_hours |
delivery_available |
hotels_pet_friendly |
restaurants_happy_hour |
carryout |
car_wash |
diesel |
hotels_exercise_facility |
hotels_guest_laundry |
Facebook_URL |
GooglePlus_URL |
Instagram_URL |
LinkedIn_URL |
Pinterest_URL |
Twitter_URL |
YouTube_URL |
Foursquare_URL |
Tumblr_URL |
Yelp_URL |
contact_titles |
has_ecommerce |
toll_free_number |
year_established |
store_id |
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 | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
2 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx |
3 | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
4 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | 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 | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx |
5 | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx |
6 | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
7 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx |
8 | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx |
9 | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx |
10 | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx |
... | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
domain_id
|
Integer | 723 | |
source
|
String | californiaclosets.com | |
name
|
String | CALIFORNIA CLOSETS | |
String | CALIFORNIA CLOSETS - SOUTHLAKE | Location Name | |
String | Address | ||
address_extended
|
|||
locality
|
String | SOUTHLAKE | |
region
|
String | TX | |
Integer | 76092 | Postal Code | |
tel
|
Integer | ||
String | US | Country Name | |
amenities
|
|||
hours
|
String | [{"days":["mon","tue","wed","thu","fri","sat"],"start_tim... | |
payment_method
|
String | FINANCING | |
directions
|
|||
String | https://www.californiaclosets.com/showrooms/ | Website | |
Float | 32.9405651 | Latitude | |
Float | -97.1257424 | Longitude | |
Integer | 442110 | Company NAICS Code | |
String | FURNITURE STORES | Company NAICS Name | |
chain_name
|
String | CALIFORNIA CLOSETS | |
category_labels
|
String | Retail | |
String | Email Address | ||
wifi
|
|||
play_area
|
|||
reservations
|
Boolean | t | |
wheelchair_accessible
|
|||
hotels_valet_parking
|
|||
atm
|
|||
open_24_hours
|
|||
delivery_available
|
|||
hotels_pet_friendly
|
|||
restaurants_happy_hour
|
|||
carryout
|
|||
car_wash
|
|||
diesel
|
|||
hotels_exercise_facility
|
|||
hotels_guest_laundry
|
|||
Facebook_URL
|
String | https://www.facebook.com/CaliforniaClosets | |
GooglePlus_URL
|
|||
Instagram_URL
|
String | https://www.instagram.com/caclosets/ | |
LinkedIn_URL
|
|||
Pinterest_URL
|
String | https://www.pinterest.com/caclosets/ | |
Twitter_URL
|
String | https://twitter.com/caclosets | |
YouTube_URL
|
|||
Foursquare_URL
|
|||
Tumblr_URL
|
|||
Yelp_URL
|
|||
String | Contact Full Name | ||
contact_titles
|
|||
String | Contact Email Address | ||
has_ecommerce
|
Boolean | t | |
toll_free_number
|
Integer | 8883369707 | |
year_established
|
Integer | 1982 | |
store_id
|
|||
location_type
|
String | BRAND STORE |
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 | ||
HOO
|
Monday 24hrs Open Tuesday 24hrs Open Wednesday 24hrs Ope... | ||
String | 33.68801, -117.77092 | Latitude-Longitude |
Description
Geography
History
Volume
3.7 million | Locations |
Pricing
License | Starts at |
---|---|
One-off purchase |
$28,120 / 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 - Point of Interest (POI data) Location data Places Data 3.5M+ POIs in US and Canada?
This product consists of point of interest data for Automotive, Retail, Food and Dining, Businesses and Services, Healthcare, Public Utility, Sports, Education and Charitable Trusts, Social, Travel and Leisure, Community industries in US and Canada. Access more than 3.5 Million POI Data records now
What is Xtract.io - Point of Interest (POI data) Location data Places Data 3.5M+ POIs in US and Canada used for?
This product has 5 key use cases. Xtract recommends using the data for Location-based Marketing, Location-based Analytics, Location-based Targeting, Location Planning, and Point of Interest (POI) Marketing. 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) Location data Places Data 3.5M+ POIs 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) Location data Places Data 3.5M+ POIs 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) Location data Places Data 3.5M+ POIs 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) Location data Places Data 3.5M+ POIs in US and Canada cost?
Pricing for Xtract.io - Point of Interest (POI data) Location data Places Data 3.5M+ POIs in US and Canada starts at USD28,120 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) Location data Places Data 3.5M+ POIs 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) Location data Places Data 3.5M+ POIs in US and Canada?
Xtract has reported that this product has the following quality and accuracy assurances: 95% Coverage, 95% Accuracy. 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) Location data Places Data 3.5M+ POIs in US and Canada?
This Tabular Data has 3 related products. These alternatives include Xtract.io - Point of interest (POI Data) Automotive Industry All Car Dealers and Repair Shops in US and Canada, The Data Appeal Location Data, Point of Interest (POI) Data and Map Data API, Dataset 200 Million + POI Data Mapped Coverage from 2019, and SafeGraph: Location Data - Global Coverage 51M+ 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.