Asia, APAC & Oceania Points of Interest (POI) Data product image in hero

Asia, APAC & Oceania Points of Interest (POI) Data

dataplor
5.0(2)Badge iconVerified Data Provider
#
parent_location
dataplor_status
data_quality_confidence_score
open_closed_status
open_closed_status_confidence_score
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
2 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 xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx
3 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
4 Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx
5 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
6 Xxxxx Xxxxxxxxx xxxxxx xxxxxxxx Xxxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxx Xxxxxxx xxxxxxxxx Xxxxx xxxxx Xxxxxx xxxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxx Xxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx
7 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
8 Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx Xxxxx xxxxxxx xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxxxx Xxxxxxxx xxxxx xxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxxx xxxxxxx
9 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
10 xxxxxxx Xxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxx 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
Sign In To Preview Data
Volume
155M
Records
Avail. Formats
.json and .csv
File
Coverage
76
Countries
History
20
years

Data Dictionary

[Sample] dataplor_id_Created_Feb_26_2024.csv
Attribute Type Example Mapping
String 983bef97-f45c-4fa9-815a-2209648f61df POI ID
parent_location
String
String Guess Brand Name
String retail POI Category
String POI Sub-category
String POI Sub-category
String clothing_store Product Category
Float 458110 Company NAICS Code
Float 0279 Company SIC Code
String guess Location ID
String GUESS Company Legal Name
String Location ID
String NYSE:GES Stock Ticker
String ########### POI Telephone
String ******** ********* ****, ** ## Address
String # ******** ****, *********, ** #####, *** Address
String RW 05, Pekunden Neighborhood Name
String Semarang City Name
String Jawa Tengah State Name
String 50134 Postal Code
String id Country Code Alpha-2
String Indonesia Country Name
Float -6.98877456 Latitude
Float 110.4238236 Longitude
dataplor_status
String active
data_quality_confidence_score
String 0.7897182624384287
open_closed_status
String open
open_closed_status_confidence_score
Float 0.95
String 2018-12-10T00:00:00+00:00 POI Opening Hours
String POI Opening Hours
Product Attributes
Attribute Type Example Mapping
String **** *******, *** ***** ****** Address
String # ******** ****, *********, ** #####, *** Address
String car_dealer Product Category
String ford Company ID
String Ford Motor Company Company Name
String Mandaue City Name
closed_on
String e5de8a1d-7b1f-425c-a96e-bd9dd16cd1ea
String Philippines (the) Country Name
String ph Country Code Alpha-2
String 9fbf6902-3259-43e0-b84d-c802b1940899 POI ID
dataplor_status
String active
data_quality_confidence_score
String 0.779247813727735
Float 10.33218458 Latitude
Float 123.93596496 Longitude
String automotive_services POI Category
Float 441110 Company NAICS Code
String FORD MANDAUE - RONALYN POI Name
String Guizo Neighborhood Name
opened_on
String 2022-02-18
open_closed_status
String open
open_closed_status_confidence_score
String 0.95
String c4811653-bf26-4fd2-85cf-0c89e28740a8 Placekey
String ############ POI Telephone
String 6014 Postal Code
Float 5511 Company SIC Code
String Central Visayas State Name
String NYSE:F Stock Ticker
String Location ID
String automobile POI Sub-category
String services POI Sub-category

Description

dataplor's Asia, APAC and Oceania Point of Interest dataset covers 155M+ POIs across 80 countries and territories, making it the most comprehensive location and business intelligence datasets available for these geographies. Our datasets are particularly valued for updates at weekly increments.
"Our strength lies in our ability to offer highly detailed, actionable insights specifically tailored for businesses operating in or expanding into emerging markets." dataplor's Asia, APAC & Oceania Point of Interest (POI) dataset is used by businesses worldwide to enhance their operational strategies in the regions, including and not limited to the following use cases: - Third-party logistics / order fulfillment - Consumer Product Goods (CPGs) - Telecommunication - Finance and Investment - Audience Extension - Store Location Data - Real Estate Intelligence - Audience Targeting Data - Travel Booking Data

Country Coverage

Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna

History

20 years of historical data

Volume

155 million Records

Pricing

Free sample available
10% discount if you buy via Datarade
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Not available
Usage-based
$0.09$0.08 / record

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
Frequency
weekly
monthly
real-time
on-demand
Format
.json
.csv

Use Cases

Categories

Related Searches

Related Products

15M Records
Japan covered
20 years of historical data
dataplor's Japan dataset boasts 15M+ POIs covering Tokyo, Osaka, Kyoto, and more, making it the most extensive location and business intelligence resource fo...
716K Locations
90% Accuracy
6 countries covered
GapMaps curates up-to-date and high-quality GIS Data tracking store openings and closures for leading retail brands across Asia and MENA. Get the insights yo...
320 Billion Pieces of Online Content Analyzed Each Day
80% match rate
249 countries covered
Our unparalleled combination of points-of-interest (POI) data enriched with Sentiment and Footfall KPIs will empower you to take action with confidence and a...
3.93K records
95% coverage
2 countries covered
Comprehensive POI data for MTY Food Group's diverse restaurant brands across the US. Enables detailed market analysis of this multi-brand franchise operator ...

Frequently asked questions

What is Asia, APAC & Oceania Points of Interest (POI) Data?

dataplor’s Asia, APAC and Oceania Point of Interest dataset covers 155M+ POIs across 80 countries and territories, making it the most comprehensive location and business intelligence datasets available for these geographies. Our datasets are particularly valued for updates at weekly increments.

What is Asia, APAC & Oceania Points of Interest (POI) Data 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 Asia, APAC & Oceania Points of Interest (POI) Data?

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 Asia, APAC & Oceania Points of Interest (POI) Data 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 Asia, APAC & Oceania Points of Interest (POI) Data cover?

This product includes data covering 76 countries like China, Japan, India, South Korea, and Australia. dataplor is headquartered in United States of America.

How much does Asia, APAC & Oceania Points of Interest (POI) Data cost?

Pricing for Asia, APAC & Oceania Points of Interest (POI) Data starts at USD0.09 per record. dataplor offers a 10% discount when you buy data from them through Datarade. Connect with dataplor to get a quote and arrange custom pricing models based on your data requirements.

How can I get Asia, APAC & Oceania Points of Interest (POI) Data?

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 Asia, APAC & Oceania Points of Interest (POI) Data?

You can compare and assess the data quality of dataplor using Datarade’s data marketplace. dataplor has received 2 reviews from clients.

What are similar products to Asia, APAC & Oceania Points of Interest (POI) Data?

This product has 3 related products. These alternatives include Japan Points of Interest (POI) Data, GapMaps Global GIS Data Asia / MENA POIs Leading Retail Brands Monthly Tracking, and Global Point-of-Interest Data POI, Geospatial, Sentiment (Reviews), Footfall, Business Listings & Store Location 251 Millions+ POI Data Mapped. 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
$0.09$0.08 / record
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Not available
Usage-based
$0.09$0.08 / record

dataplor

Globally scaled, dynamically updated and human-reviewed accurate location data.

Verified provider icon Verified Provider
6h Avg. response time
100% Response rate

Trusted by

Customer Logo #1 of dataplor
Customer Logo #2 of dataplor
Customer Logo #3 of dataplor