Japan Point of Interest (POI) Data | 15M+ Businesses & Places

#	dataplor_id	parent_location	name	main_category	sub_category	sub_sub_category	business_category	naics_code	sic_code	chain_id	chain_name	parent_chain_path	chain_uuid_path	store_number	stock_ticker	phone	address	address2	h3_index	neighborhood	city	state	postal_code	country_code	country	latitude	longitude	dataplor_status	data_quality_confidence_score	open_closed_status	open_closed_status_confidence_score	opened_on	closed_on	website	monday_open	monday_close	tuesday_open	tuesday_close	wednesday_open	wednesday_close	thursday_open	thursday_close	friday_open	friday_close	saturday_open	saturday_close	sunday_open	sunday_close
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Volume

15M

Records

Avail. Formats

.json and .csv

File

Coverage

Country

History

years

[Sample] datapor_Japan_POI_Categories_Sample.csv

Attribute	Type	Example	Mapping
dataplor_id	String	06fa7630-f588-4264-b425-5d328206a0cb	POI ID
parent_location	String
name	String	㈱大森自動車	POI Name
main_category	String	transportation_services	POI Category
sub_category	String		POI Sub-category
sub_sub_category	String		POI Sub-category
business_category	String	automotive	Product Category
naics_code	Float	811111	Company NAICS Code
sic_code	Float	7538	Company SIC Code
chain_id	String	12456789	Brand ID
chain_name	String	Coca Cola	Brand Name
parent_chain_path	String
chain_uuid_path	String
store_number	String
stock_ticker	String	AAPL	Stock Ticker
phone	String	###########	POI Telephone
address	String	### **********	Address
address2	String	# ****** , *****, #####, ***	Address
h3_index	String	8f2e60558464969
neighborhood	String	西区	Neighborhood Name
city	String	名古屋市	City Name
state	String	愛知県	State Name
postal_code	String	452-0812	Postal Code
country_code	String	jp	Country Code Alpha-2
country	String	Japan	Country Name
latitude	Float	35.22662673	Latitude
longitude	Float	136.8902663	Longitude
dataplor_status	String	active
data_quality_confidence_score	String	0.8046781947
open_closed_status	String	open
open_closed_status_confidence_score	Float	0.301
opened_on	String	2020-02-11T00:00:00+00:00
closed_on	String
website	String	https://o-m-j.jp/	Website
monday_open	String	9:00	POI Opening Hours
monday_close	String	17:00	POI Opening Hours
tuesday_open	String	9:00	POI Opening Hours
tuesday_close	String	17:00	POI Opening Hours
wednesday_open	String	9:00	POI Opening Hours
wednesday_close	String	17:00	POI Opening Hours
thursday_open	String	9:00	POI Opening Hours
thursday_close	String	17:00	POI Opening Hours
friday_open	String	9:00	POI Opening Hours
friday_close	String	17:00	POI Opening Hours
saturday_open	String		POI Opening Hours
saturday_close	String		POI Opening Hours
sunday_open	String		POI Opening Hours
sunday_close	String		POI Opening Hours

Product Attributes

Attribute	Type	Example	Mapping
address	String	** ***, * *** ****	Address
address2	String	# ****** , *****, #####, ***	Address
business_category	String	car_dealer	Product Category
chain_id	String	ford	Company ID
chain_name	String	Ford Motor Company	Company Name
city	String	Mandaue	City Name
closed_on	String	e5de8a1d-7b1f-425c-a96e-bd9dd16cd1ea
country	String	Philippines (the)	Country Name
county_code	String	ph	Country Code Alpha-2
dataplor_id	String	9fbf6902-3259-43e0-b84d-c802b1940899	POI ID
dataplor_status	String	active
data_quality_confidence_score	String	0.779247813727735
latitude	Float	10.33218458	Latitude
longitude	Float	123.93596496	Longitude
main_category	String	automotive_services	POI Category
naics_code	Float	441110	Company NAICS Code
name	String	FORD MANDAUE - RONALYN	POI Name
neighborhood	String	Guizo	Neighborhood Name
opened_on	String	2022-02-18
open_closed_status	String	open
open_closed_status_confidence_score	String	0.95
parent_location	String	c4811653-bf26-4fd2-85cf-0c89e28740a8	Placekey
phone	String	############	POI Telephone
postal_code	String	6014	Postal Code
sic_code	Float	5511	Company SIC Code
state	String	Central Visayas	State Name
stock_ticker	String	NYSE:F	Stock Ticker
store_number	String		Location ID
sub_category	String	automobile	POI Sub-category
sub_sub_category	String	services	POI Sub-category

dataplor's Japan dataset boasts 15M+ POIs covering Tokyo, Osaka, Kyoto, and more, making it the most extensive location and business intelligence resource for Japan. Our data is rigorously curated and constantly updated.

dataplor specializes in delivering highly precise, actionable intelligence tailored for businesses operating within the complex Japanese market. Our in-depth Japan POI dataset is a cornerstone for businesses seeking to optimize operations and expand their footprint across the country. Unlocking Japan's Potential with dataplor's POI Data Third-party Logistics / Order Fulfillment: Leverage our dataset to optimize delivery routes, identify optimal warehouse locations in bustling cities like Tokyo, Osaka, and Nagoya, and enhance last-mile delivery efficiency in densely populated urban areas. Consumer Product Goods (CPGs): Gain a competitive edge by identifying ideal store locations in high-traffic areas, understanding consumer preferences across different regions (Tokyo, Kansai, Kyushu), and optimizing product distribution strategies. Telecommunication: Identify areas with high smartphone penetration, analyze competitor tower locations, and optimize network coverage in major cities and rural prefectures. Finance and Investment: Evaluate potential investment opportunities by analyzing POI density and distribution in different regions (Tokyo, Osaka, Fukuoka), identifying affluent neighborhoods, and assessing the competitive landscape. Store Location Data: Identify ideal store locations based on factors such as population density, competition, and consumer spending patterns in cities like Tokyo, Osaka, and Nagoya. Real Estate Intelligence: Assess property values based on location and surrounding amenities in major cities and regional areas. Audience Targeting Data: Create highly targeted marketing campaigns through targeted marketing placement in high-density POI areas across Tokyo, Osaka, and Kyoto. Travel Booking Data: Identify popular tourist destinations, analyze hotel and accommodation availability, and optimize travel itineraries for domestic and international visitors. dataplor's Japan POI dataset offers unparalleled granularity and accuracy, empowering businesses to make informed decisions and achieve sustainable growth in this dynamic market.

Asia (1)

Japan

20 years of historical data

15 million

Records

Free sample available

10% discount if you buy via Datarade

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One-off purchase	Not available
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Yearly License	Available
Usage-based	Available

Request detailed pricing

Methods

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Retail

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What is Japan Point of Interest (POI) Data 15M+ Businesses & Places?

dataplor’s Japan dataset boasts 15M+ POIs covering Tokyo, Osaka, Kyoto, and more, making it the most extensive location and business intelligence resource for Japan. Our data is rigorously curated and constantly updated.

What is Japan Point of Interest (POI) Data 15M+ Businesses & Places used for?

This product has 5 key use cases. dataplor recommends using the data for Retail, Business Intelligence (BI), Location Planning, Point of Interest (POI) Marketing, and Address Data Enrichment. Global businesses and organizations buy Location Data from dataplor to fuel their analytics and enrichment.

Who can use Japan Point of Interest (POI) Data 15M+ Businesses & Places?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Location Data. Get in touch with dataplor to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Japan Point of Interest (POI) Data 15M+ Businesses & Places go?

This product has 20 years of historical coverage. It can be delivered on a weekly, monthly, real-time, and on-demand basis.

Which countries does Japan Point of Interest (POI) Data 15M+ Businesses & Places cover?

This product includes data covering 1 country like Japan. dataplor is headquartered in United States of America.

How much does Japan Point of Interest (POI) Data 15M+ Businesses & Places cost?

Pricing information for Japan Point of Interest (POI) Data 15M+ Businesses & Places is available by getting in contact with dataplor. Connect with dataplor to get a quote and arrange custom pricing models based on your data requirements.

How can I get Japan Point of Interest (POI) Data 15M+ Businesses & Places?

Businesses can buy Location Data from dataplor and get the data via S3 Bucket. Depending on your data requirements and subscription budget, dataplor can deliver this product in .json and .csv format.

What is the data quality of Japan Point of Interest (POI) Data 15M+ Businesses & Places?

You can compare and assess the data quality of dataplor using Datarade’s data marketplace. dataplor has received 3 reviews from clients.

What are similar products to Japan Point of Interest (POI) Data 15M+ Businesses & Places?

This product has 3 related products. These alternatives include Asia, APAC & Oceania Point of Interest (POI) Data, Location Data All MTY Food Group Restaurant Locations in US Point of Interest (POI) Data, and Xverum Location Data Point of Interest (POI) Data 230M+ Global / 24M+ US Records Continuous Refresh Specific Business Location Data. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

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Monthly License	Not available
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Japan Point of Interest (POI) Data | 15M+ Businesses & Places

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

dataplor
Globally scaled, dynamically updated, and human-reviewed location intelligence.

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Japan Point of Interest (POI) Data | 15M+ Businesses & Places

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

dataplor Globally scaled, dynamically updated, and human-reviewed location intelligence.

Trusted by

dataplor
Globally scaled, dynamically updated, and human-reviewed location intelligence.