Point-of-Interest (POI) Data | Global Coverage | 250M Business Listings Data with Custom On-Demand Attributes product image in hero

Point-of-Interest (POI) Data | Global Coverage | 250M Business Listings Data with Custom On-Demand Attributes

Quadrant
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#
LocationID
name
website
BrandID
closedSignal
claimed
rating
reviewsCount
numberOfPictures
photoUrl
phone
addressParts
formatted_address
parsed_address
country
postcode
geometry_viewport_northeast_lng
geometry_viewport_southwest_lat
geometry_viewport_southwest_lng
geometry_location_lat
geometry_location_lng
types
lat
lng
category
specialty
workHours
admin_boundary3
admin_boundary2
admin_boundary1
keyword
tier1_naics_code
tier1_naics_category
tier2_naics_code
tier2_naics_category
tier3_naics_code
tier3_naics_category
tier4_naics_code
tier4_naics_category
tier5_naics_code
tier5_naics_category
sic_code
sic_code_description
calculated_geo_hash_8
building_id
building_type
building_name
shape_type
shape_polygon
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Sign In To Preview Data
#
LocationID
name
website
BrandID
claimed
rating
reviewsCount
numberOfPictures
s3_imageUrl
phone
addressParts
formatted_address
geometry_location_type
geometry_viewport_northeast_lat
geometry_viewport_northeast_lng
geometry_viewport_southwest_lat
geometry_viewport_southwest_lng
geometry_location_lat
geometry_location_lng
types
streetAddress
postalCode
lat
lng
category
specialty
workHours
admin_boundary3
admin_boundary2
admin_boundary1
country_code
T4_NAICS_Code
T4_Category
calculated_geo_hash_8
building_id
building_type
building_name
shape_type
shape_polygon
reference naics context
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Sign In To Preview Data
Volume
250
Million POI
Avail. Formats
.json, .csv, and .xls
File
Coverage
250
Countries

Data Dictionary

[Sample] Quadrant - POI Data Sample_Thailand.csv
Attribute Type Example Mapping
LocationID
String 3808befd899cbb89e0d06cec4a2093fa
name
String centralwOrld
website
String https://www.centralworld.co.th/
BrandID
String 230cfd4264aaa7cb36112a1cb9c6c6dd
closedSignal
String
claimed
String t
rating
String 4.5
reviewsCount
String 67178
numberOfPictures
String 290241
photoUrl
String https://lh5.googleusercontent.com/p/AF1QipNwY21VPOxVrJkSA...
phone
String +## # ### ####
addressParts
String 999/9 Rama I Rd Pathum Wan Bangkok 10330 Thailand
formatted_address
String ?????? ??????????????????????? (?????????????????? 4 4/5 ...
parsed_address
String house: ?????? ??????????????????????? ?????????????????? ...
country
String thailand
postcode
String 10330
geometry_viewport_northeast_lng
Float 100.5404471
geometry_viewport_southwest_lat
Float 13.74512932
geometry_viewport_southwest_lng
Float 100.5377491
geometry_location_lat
Float 13.7464783
geometry_location_lng
Float 100.5390981
types
String street_address
lat
Float 13.7465337
lng
Float 100.5391488
category
String Shopping mall
specialty
String Shopping mall
workHours
String [Tuesday 10 AM–10 PM, Wednesday 10 AM–10 PM, Thursday 10 ...
admin_boundary3
String
admin_boundary2
String
admin_boundary1
String Krung Thep Maha Nakhon
keyword
String Lotteria, Bangkok (TH)
tier1_naics_code
String 53
tier1_naics_category
String Real Estate and Rental and Leasing
tier2_naics_code
String 531
tier2_naics_category
String Real Estate
tier3_naics_code
String 5311
tier3_naics_category
String Lessors of Real Estate
tier4_naics_code
String 53112
tier4_naics_category
String Lessors of Nonresidential Buildings (except Miniwarehouses)
tier5_naics_code
String 531120
tier5_naics_category
String Lessors of Nonresidential Buildings (except Miniwarehouses)
sic_code
String 6512
sic_code_description
String Operators of Nonresidential Buildings
calculated_geo_hash_8
String w4rqpy6r
building_id
String way_157482067
building_type
String
building_name
String ??????????????
shape_type
String polygon
shape_polygon
String POLYGON ((100.5388798 13.7450505, 100.5396804 13.7449276,...
[Sample] Quadrant - POI Data Sample_France.csv
Attribute Type Example Mapping
LocationID
String 1f4cd8c930416e8aa07f7cbdb6c4564c
name
String Fromagerie Crčmerie Frescolet Pigalle
website
String http://www.frescolet.fr/
BrandID
String 9168b8096d66e39a6e5438461caa3437
claimed
String t
rating
String 4.8
reviewsCount
String 113
numberOfPictures
String 6
s3_imageUrl
String https://us-west-2-prod-4devs.s3.us-west-2.amazonaws.com/A...
phone
String +## # ## ## ## ##
addressParts
String 42 Rue Jean-Baptiste Pigalle 75009 Paris France
formatted_address
String 42 Rue Jean-Baptiste Pigalle, 75009 Paris, France
geometry_location_type
String ROOFTOP
geometry_viewport_northeast_lat
Float 48.88136298
geometry_viewport_northeast_lng
Float 2.33603208
geometry_viewport_southwest_lat
Float 48.87866502
geometry_viewport_southwest_lng
Float 2.33333412
geometry_location_lat
Float 48.880014
geometry_location_lng
Float 2.3346831
types
String establishment, food, point_of_interest, store
streetAddress
String 42 Rue Jean-Baptiste Pigalle
postalCode
String 75009
lat
Float 48.880014
lng
Float 2.3346831
category
String Cheese shop
specialty
String Cheese shop, Dairy store
workHours
String [Monday 3:30–8 PM, Tuesday 9:30 AM–8 PM, Wednesday 9:30 A...
admin_boundary3
String
admin_boundary2
String Département de Paris
admin_boundary1
String Île-de-France
country_code
String FR
T4_NAICS_Code
String 445299
T4_Category
String All Other Specialty Food Stores
calculated_geo_hash_8
String u09wj4k4
building_id
String way_69562879
building_type
String
building_name
String
shape_type
String polygon
shape_polygon
String POLYGON ((2.3345769 48.8800387, 2.3346835 48.8799702, 2.3...
reference naics context
String 311511
Product Attributes
Attribute Type Example Mapping
String Custom value Brand Name
String 59114 Postal Code
Category
Fast Food Restaurants
Float 35.8506174 Latitude
Float 14.5127686 Longitude
String {'***#': '###.#.##.##'} IPv4 Address
String **. **** ******, ***** ***** Address
Building_name
Pesona square
Is_independent
True
Level_no
15
Unit_no
03-21
String depot pinilih Location Name
String Jakarta City Name
Region
Central Java
Text [{'day': 'Mon', 'from': '08:00Am', 'to': '10:00Pm'} POI Opening Hours
Is_open_for_business
True
Updated-At
1636106079789
Operator_name
Singtel
String ID Country Code Alpha-2
Position
Inside the building
Geohash
qqycw
Photos
3effd6f1-004f-4ea0-8008-e20e378f2ade_20211103_07272159153...
Verify_location
[Decimal('111.0386646'), Decimal('-6.7555302')]
Horizontal accoracy
'horizontal_accuracy': Decimal('27.867'), 'provider': 'fu...
Custom Attribute
custom value

Description

Quadrant’s POI Data-as-a-Service provides geospatial applications a contextual layer of comprehensive and actionable information on landmarks, key features, business areas, and custom metadata attributes.
We seek to mitigate the challenges with web-scraped and off-the-shelf POI data, and provide tailored, complete, and manually verified datasets with Geolancer. Our goal is to help represent the physical world accurately for applications and services dependent on precise POI data, and offer a reliable basis for geospatial analysis and intelligence. Our POI database is powered by our proprietary POI collection and verification platform, Geolancer, which provides manually verified, authentic, accurate, and up-to-date POI datasets. Enrich your geospatial applications with a contextual layer of comprehensive and actionable information on landmarks, key features, business areas, and many more granular, on-demand attributes. We offer on-demand data collection and verification services that fit unique use cases and business requirements. Using our advanced data acquisition techniques, we build and offer tailormade POI datasets. Combined with our expertise in location data solutions, we can be a holistic data partner for our customers. KEY FEATURES - Our proprietary, industry-leading manual verification platform Geolancer delivers up-to-date, authentic data points - POI-as-a-Service with on-demand verification and collection in 170+ countries leveraging our network of 1M+ contributors - Customise your feed by specific refresh rate, location, country, category, and brand based on your specific needs - Data Noise Filtering Algorithms normalise and de-dupe POI data that is ready for analysis with minimal preparation DATA QUALITY Quadrant’s POI data are manually collected and verified by Geolancers. Our network of freelancers, maps cities and neighborhoods adding and updating POIs on our proprietary app Geolancer on their smartphone. Compared to other methods, this process guarantees accuracy and promises a healthy stream of POI data. This method of data collection also steers clear of infringement on users’ privacy and sale of their location data. These purpose-built apps do not store, collect, or share any data other than the physical location (without tying context back to an actual human being and their mobile device). USE CASES The main goal of POI data is to identify a place of interest, establish its accurate location, and help businesses understand the happenings around that place to make better, well-informed decisions. POI can be essential in assessing competition, improving operational efficiency, planning the expansion of your business, and more. It can be used by businesses to power their apps and platforms for last-mile delivery, navigation, mapping, logistics, and more. Combined with mobility data, POI data can be employed by retail outlets to monitor traffic to one of their sites or of their competitors. Logistics businesses can save costs and improve customer experience with accurate address data. Real estate companies use POI data for site selection and project planning based on market potential. Governments can use POI data to enforce regulations, monitor public health and well-being, plan public infrastructure and services, and more. A few common and widespread use cases of POI data are: - Navigation and mapping for digital marketplaces and apps. - Logistics for online shopping, food delivery, last-mile delivery, and more. - Improving operational efficiency for rideshare and transportation platforms. - Demographic and human mobility studies for market consumption and competitive analysis. - Market assessment, site selection, and business expansion. - Disaster management and urban mapping for public welfare. - Advertising and marketing deployment and ROI assessment. - Real-estate mapping for online sales and renting platforms.About Geolancer ABOUT GEOLANCER Quadrant's POI-as-a-Service is powered by Geolancer, our industry-leading manual verification project. Geolancers, equipped with a smartphone running our proprietary app, manually add and verify POI data points, ensuring accuracy and authenticity. Geolancer helps data buyers acquire data with the update frequency suited for their specific use case.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
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
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
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
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

Volume

250 Million POI

Pricing

10% discount if you buy via Datarade
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
Email
Frequency
monthly
quarterly
yearly
on-demand
Format
.json
.csv
.xls

Use Cases

Categories

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Frequently asked questions

What is Point-of-Interest (POI) Data Global Coverage 250M Business Listings Data with Custom On-Demand Attributes?

Quadrant’s POI Data-as-a-Service provides geospatial applications a contextual layer of comprehensive and actionable information on landmarks, key features, business areas, and custom metadata attributes.

What is Point-of-Interest (POI) Data Global Coverage 250M Business Listings Data with Custom On-Demand Attributes used for?

This product has 5 key use cases. Quadrant recommends using the data for Location Intelligence, Location Analytics, Location Verification, Point of Interest (POI) Mapping, and Point of Interest (POI) Marketing. Global businesses and organizations buy Location Data from Quadrant to fuel their analytics and enrichment.

Who can use Point-of-Interest (POI) Data Global Coverage 250M Business Listings Data with Custom On-Demand Attributes?

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

Which countries does Point-of-Interest (POI) Data Global Coverage 250M Business Listings Data with Custom On-Demand Attributes cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Quadrant is headquartered in Singapore.

How much does Point-of-Interest (POI) Data Global Coverage 250M Business Listings Data with Custom On-Demand Attributes cost?

Pricing information for Point-of-Interest (POI) Data Global Coverage 250M Business Listings Data with Custom On-Demand Attributes is available by getting in contact with Quadrant. Connect with Quadrant to get a quote and arrange custom pricing models based on your data requirements.

How can I get Point-of-Interest (POI) Data Global Coverage 250M Business Listings Data with Custom On-Demand Attributes?

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

What is the data quality of Point-of-Interest (POI) Data Global Coverage 250M Business Listings Data with Custom On-Demand Attributes?

You can compare and assess the data quality of Quadrant using Datarade’s data marketplace. Quadrant appears on selected Datarade top lists ranking the best data providers, including Best Data Providers For Location-Based Marketing.

What are similar products to Point-of-Interest (POI) Data Global Coverage 250M Business Listings Data with Custom On-Demand Attributes?

This product has 3 related products. These alternatives include Location Data Global Location Data on 56M+ POI SafeGraph Places, Global Point-of-Interest Data POI, Geospatial, Sentiment (Reviews), Footfall, Business Listings & Store Location 251 Millions+ POI Data Mapped, and Point of Interest (POI) Data Worldwide 82M Dataset Commercial 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.

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