US Restaurant POI dataset with metadata

#	poi_name	brand	poi_tel	main_category	second_category	location_id	area_id	small_area_id	latitude	longitude	adr	city	neighborhood	prov	postal	country	formatted_address	source_url	email	opening_hours	crawl_time
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx
2	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx
3	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx
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
...	Xxxxxxxxx	xxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	xxxxx	Xxxxxxxxxx

Volume

686K

records

Avail. Format

.csv

File

Coverage

Country

[Sample] us_sample (1).csv

Attribute	Type	Example	Mapping
poi_name	String	Burger King	POI Name
brand	String	Burger King	Brand Name
poi_tel	Integer	15172347013	POI Telephone
main_category	String	Restaurant
second_category	String	Fast food restaurant
location_id	Integer	1951878493552	Location ID
area_id	Integer	164280	Area ID
small_area_id	Integer	195187849	Small Area ID
latitude	Float	42.741559	Latitude
longitude	Float	-84.660402	Longitude
adr	String	7416 W Saginaw Hwy
city	String	Lansing	City Name
neighborhood	String	Delta Center	Neighborhood Name
prov	String	MI
postal	Integer	48917	Postal Code
country	String	USA	Country Name
formatted_address	String	#### * ***** * ***** ##### ***	Address
source_url	String	burgerking.com/store-locator/store/restaurant_3515
email	String	####@************.*	Email Address
opening_hours	String	Mo-Sa 06:00-22:00; Su 07:00-22:00; Su 07:00-24:00 open 'd...	POI Opening Hours
crawl_time	DateTime	2022-07-30T16:50:36+00:00

Product Attributes

Attribute	Type	Example	Mapping
poi_name	String	China Garden	POI Name
poi_tel	String	19496539988	POI Telephone
main_category		Chinese restaurant
second_category		Asian restaurant
location_id	String	2094288246693	Location ID
area_id	String	176266	Area ID
small_area_id	Integer	209428824	Small Area ID
latitude	Float	33.68801	Latitude
longitude	Float	-117.77092	Longitude
adr		14825 Jeffrey Road
city	String	Irvine	City Name
neighborhood	String	Downtown	Neighborhood Name
prov		CA
postal	String	92618	Postal Code
country	String	USA	Country Name
formatted_address	String	##### ***** **, ##### **** ** ****...	Address
source_url		chinagardenirvine.com
email	String	***********@**.*	Email Address
crawl_time		2021-04-09 19:46:21
brand	String	N/A	Brand Name
additional_categories		Restaurant

This is a complete US restaurant POI data for USA as of October 2021 containing 686,482 active restaurants and eating places in the USA geocoded with rooftop accuracy.

Point of Interest (POI) is defined as an entity (such as a business) at a ground location (point) which may be (of interest). We provide high-quality POI data that is fresh, consistent, customizable, easy to use and with high-density coverage for all countries of the world. This is our process flow: Our machine learning systems continuously crawl for new POI data Our geoparsing and geocoding calculates their geo locations Our categorization systems cleanup and standardize the datasets Our data pipeline API publishes the datasets on our data store A new POI comes into existence. It could be a bar, a stadium, a museum, a restaurant, a cinema, or store, etc.. In today's interconnected world its information will appear very quickly in social media, pictures, websites, press releases. Soon after that, our systems will pick it up. POI Data is in constant flux. Every minute worldwide over 200 businesses will move, over 600 new businesses will open their doors and over 400 businesses will cease to exist. And over 94% of all businesses have a public online presence of some kind tracking such changes. When a business changes, their website and social media presence will change too. We'll then extract and merge the new information, thus creating the most accurate and up-to-date business information dataset across the globe. We offer our customers perpetual data licenses for any dataset representing this ever changing information, downloaded at any given point in time. This makes our company's licensing model unique in the current Data as a Service - DaaS Industry. Our customers don't have to delete our data after the expiration of a certain "Term", regardless of whether the data was purchased as a one time snapshot, or via our data update pipeline. Customers requiring regularly updated datasets may subscribe to our Annual subscription plans. Our data is continuously being refreshed, therefore subscription plans are recommended for those who need the most up to date data. The main differentiators between us vs the competition are our flexible licensing terms and our data freshness. Data samples may be downloaded at https://store.poidata.xyz/us

North America (1)

United States of America

686,000

records

Free sample available

10% discount if you buy via Datarade

License	Starts at
One-off purchase	$8,900$8,010 / purchase
Monthly License	Not available
Yearly License	$7,500$6,750 / year
Usage-based	$0.01$0.01 / per restaurant record

Request detailed pricing

Methods

Frequency

Format

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What is US Restaurant POI dataset with metadata?

This is a complete US restaurant POI data for USA as of October 2021 containing 686,482 active restaurants and eating places in the USA geocoded with rooftop accuracy.

What is US Restaurant POI dataset with metadata 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 Restaurant Data from Geolytica to fuel their analytics and enrichment.

Who can use US Restaurant POI dataset with metadata?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Restaurant 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 US Restaurant POI dataset with metadata cover?

This product includes data covering 1 country like USA. Geolytica is headquartered in Canada.

How much does US Restaurant POI dataset with metadata cost?

Pricing for US Restaurant POI dataset with metadata starts at USD0.01 per per restaurant 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 US Restaurant POI dataset with metadata?

Businesses can buy Restaurant Data from Geolytica and get the data via S3 Bucket, Email, and REST API. Depending on your data requirements and subscription budget, Geolytica can deliver this product in .csv format.

What is the data quality of US Restaurant POI dataset with metadata?

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 US Restaurant POI dataset with metadata?

This product has 3 related products. These alternatives include Locations Data McDonald’s Fast-Food Restaurant Locations in US and Canada Comprehensive POI Coverage, Restaurant Location Data Global Restaurant POIs SafeGraph Places, and Restaurant Location Data Australia 65k+ Restaurant, Cafes, Takeaway and other Consumer Food Outlet Businesses Addresses, Contacts, Geo information. You can compare the best Restaurant Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at

$0.01$0.01 / per restaura...

License	Starts at
One-off purchase	$8,900$8,010 / purchase
Monthly License	Not available
Yearly License	$7,500$6,750 / year
Usage-based	$0.01$0.01 / per restaurant record

Verified Provider

US Restaurant POI dataset with metadata

Data Dictionary

Description

Country Coverage

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

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Frequently asked questions

Geolytica
Ground Truth at the Speed of Life.

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US Restaurant POI dataset with metadata

Data Dictionary

Description

Country Coverage

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Geolytica Ground Truth at the Speed of Life.

Trusted by

Geolytica
Ground Truth at the Speed of Life.