Geolytica USA Points of Interest Dataset
# | main_category |
second_category |
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prov |
source_url |
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4 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
5 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx |
6 | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
7 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx |
8 | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
9 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx |
10 | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Pueblo Riverwalk | POI Name | |
String | Pueblo | Brand Name | |
Integer | 17195950242 | POI Telephone | |
main_category
|
String | Tourist attraction | |
second_category
|
String | ||
Integer | 2062243075013 | Location ID | |
Integer | 173569 | Area ID | |
Integer | 206224307 | Small Area ID | |
Float | 38.26511 | Latitude | |
Float | -104.609554 | Longitude | |
adr
|
String | 125 E Riverwalk | |
String | Pueblo | City Name | |
String | Nob Hill | Neighborhood Name | |
prov
|
String | CO | |
Integer | 81003 | Postal Code | |
String | USA | Country Name | |
String | Address | ||
source_url
|
String | www.puebloriverwalk.org/ | |
String | Email Address | ||
String | Mo,Tu,We,Th,Fr,Sa,Su Open 24 hours | POI Opening Hours | |
crawl_time
|
DateTime | 2022-01-08T08:02:09+00:00 |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | China Garden | POI Name | |
String | 19496539988 | POI Telephone | |
main_category
|
Restaurant | ||
second_category
|
Chinese restaurant | ||
String | 2094288246693 | Location ID | |
String | 176266 | Area ID | |
Integer | 209428824 | Small Area ID | |
Float | 33.68801 | Latitude | |
Float | -117.77092 | Longitude | |
adr
|
14825 Jeffrey Road | ||
String | Irvine | City Name | |
String | Downtown | Neighborhood Name | |
prov
|
CA | ||
String | 92618 | Postal Code | |
String | USA | Country Name | |
String | Address | ||
source_url
|
chinagardenirvine.com | ||
String | Email Address | ||
crawl_time
|
2021-04-09 19:46:21 | ||
String | N/A | Brand Name |
Description
Country Coverage
Volume
8.44 million | records |
Pricing
License | Starts at |
---|---|
One-off purchase |
$60,000$54,000 / purchase |
Monthly License | Not available |
Yearly License |
$50,000$45,000 / year |
Usage-based |
$0.01$0.01 / perl POI record |
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Geolytica USA Points of Interest Dataset?
This is a complete Point of Interest (POI) Dataset for USA as of August 2022 containing 8,441,101 records geocoded with rooftop accuracy. The data is categorized in 3381 POI categories. See https://store.poidata.xyz/us for more.
What is Geolytica USA Points of Interest Dataset used for?
This product has 2 key use cases. Geolytica recommends using the data for Point of Interest (POI) Mapping and Point of Interest (POI) Marketing. Global businesses and organizations buy Foot Traffic Data from Geolytica to fuel their analytics and enrichment.
Who can use Geolytica USA Points of Interest Dataset?
This product is best suited if you’re a business looking for Foot Traffic Data. Get in touch with Geolytica to see what their data can do for your business and find out which integrations they provide.
Which countries does Geolytica USA Points of Interest Dataset cover?
This product includes data covering 1 country like USA. Geolytica is headquartered in Canada.
How much does Geolytica USA Points of Interest Dataset cost?
Pricing for Geolytica USA Points of Interest Dataset starts at USD0.01 per perl POI record. Geolytica offers a 10% discount when you buy data from them through Datarade. Connect with Geolytica to get a quote and arrange custom pricing models based on your data requirements.
How can I get Geolytica USA Points of Interest Dataset?
Businesses can buy Foot Traffic Data from Geolytica and get the data via Email. Depending on your data requirements and subscription budget, Geolytica can deliver this product in .csv format.
What is the data quality of Geolytica USA Points of Interest Dataset?
Geolytica has reported that this product has the following quality and accuracy assurances: 98% Coverage. You can compare and assess the data quality of Geolytica using Datarade’s data marketplace. Geolytica appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? .
What are similar products to Geolytica USA Points of Interest Dataset?
This product has 3 related products. These alternatives include Echo Analytics Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain, The Data Appeal Global Map Data API, Dataset 251M POI Data Coverage from 2019 Measure sentiment and Customer Experience, and Factori AI & ML Training Data Point of Interest Data (POI) Global Machine Learning Data. You can compare the best Foot Traffic Data providers and products via Datarade’s data marketplace and get the right data for your use case.