Foursquare Places: Global POI Data | 120M+ POI

#	fsq_id	name	name_translated	latitude	longitude	geocodes	address	address_extended	locality	dma	region	postcode	admin_region	post_town	neighborhood	po_box	date_created	date_refreshed	fsq_category_ids	fsq_category_labels	fsq_chain_id	fsq_chain_name	parent_id	subvenue_count	closed_bucket
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
2	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx
3	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx
4	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx
5	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx
6	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
7	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
8	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	Xxxxxx	xxxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxxx	xxxxxxxxx
9	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
10	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxxx	xxxxxxx	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	xxxxxxx	Xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx

Volume

14B

User-verified Check-ins

Avail. Format

.json

File

Coverage

249

Countries

[Sample] FSQ Places Data Sample - United Kingdom.csv

Attribute	Type	Example
fsq_id	String	dc91319e92164ca8450d48c1
name	String	Rockefeller's
name_translated	String	null
latitude	Float	53.481618
longitude	Float	-2.246703
geocodes	String	{"main":{"longitude":-2.246703,"latitude":53.481618}}
address	String	5 Police St
address_extended	String	null
locality	String	Manchester
dma	String	null
region	String	Greater Manchester
postcode	String	M2 7LQ
admin_region	String	England
post_town	String	Manchester
neighborhood	String	["Manchester","Chinatown","Deansgate"]
po_box	String	null
date_created	DateTime	2014-05-15T00:00:00+00:00
date_refreshed	DateTime	2023-10-22T00:00:00+00:00
fsq_category_ids	String	[17045]
fsq_category_labels	String	[["Retail","Fashion Retail","Jewelry Store"]]
fsq_chain_id	String	null
fsq_chain_name	String	null
parent_id	String	null
subvenue_count	String	null
closed_bucket	String	LikelyOpen

Product Attributes

Attribute	Type	Example	Mapping
fsq_id	String	9fbf6902-3259-43e0-b84d-c802b1940899	POI ID
name	String		POI Name
name_translated	String
latitude/longitude	Decimal	40.786342970476895, -119.2065156609571	Latitude-Longitude
geocodes	String	{roof={latitude=43.437061, longitude=-84.004431}, drop_of...
address	String	# ****** , *****, #####, ***	Address
address_extended	String	# ****** , *****, #####, ***	Address
locality	String	Berlin	City Name
dma	String
region	String	California	State Name
postcode	String	10119	Postal Code
country	String	US	Country Code Alpha-2
admin_region	String	Scotland
post_town	String
neighborhood	String
po_box	String
date_created	Date
date_refreshed	Date
fsq_category_ids	Integer
fsq_category_labels	String		POI Category
fsq_chain_id	String
fsq_chain_name	String
parent_id	String	Mall or airport
subvenue_count	String
census_block_id	String	census_block_id=360610058003001
closed_bucket	String
hours	String	{"saturday":[["9:00","18:00"]],"tuesday":[["9:00","18:00"...	POI Opening Hours
hours_popular
hours_display	String
tel	String	+# (###) ####-####	POI Telephone
website	String	https://www.apple.com	Website
fax	String	+# (###) ####-####	Fax Number
email	String	***@*.* ***@*.*	Email Address
facebook_id	String
twitter	String
description	String
rating	Float
price	String
tips
tastes	String
total_tips
total_photos
photos	String
popularity	String
venue_reality_bucket	String
provenance_rating	String
date_closed	Date
atm	Boolean
beer	Boolean
barservice	Boolean
businessmeeting	String
byo	Boolean
clean	String
coatcheck	Boolean
crowded	String
datespopular	String
delivery	Boolean
dressy	String
drivethrough	Boolean
essentialreservations	Boolean
familiespopular	String
fullbar	Boolean
glutenfreediet	String
goodfordogs	String
groupsonlyreservations	Boolean
groupspopular	String
hasmusic	Boolean
hasparking	Boolean
healthydiet	String
jukeboxmusic	Boolean
latenight	String
livemusic	Boolean
noisy	String
onlinereservations	Boolean
outdoorseating	Boolean
privatelot	Boolean
privateroom	Boolean
publiclot	Boolean
quickbite	String
reservations	Boolean
restroom	Boolean
romantic	String
servesbarsnacks	Boolean
servesbreakfast	Boolean
servesbrunch	Boolean
servesdessert	Boolean
servesdinner	Boolean
serveshappyhour	Boolean
serveslunch	Boolean
servestastingmenu	Boolean
servicequality	String
singlespopular
sitdowndining	Boolean
smoking	Boolean
specialoccasion	String
streetparking	Boolean
takeout	Boolean
takesamex	Boolean
takescreditcards	Boolean
takesdinersclub	Boolean
takesdiscover	Boolean
takesmastercard	Boolean
takesnfc	Boolean
takesunionpay	Boolean
takesvisa	Boolean
trendy	String
tvs	Boolean
valetparking	Boolean
valueformoney	String
vegandiet	String
vegetariandiet	String
wheelchairaccessible	Boolean
wifi	String
wine	Boolean
store_id	String

Foursquare Places is a proprietary dataset of 120M+ points of interest across 200+ countries and territories. It combines user-generated data, machine learning, and third party sources to provide monthly data updates, ensuring that users receive the freshest and most accurate data possible.

Foursquare Places is the leading independent points of interest (POI) dataset. It is the only POI dataset that is curated from rich user generated content and insights from more than 14 billion explicit check-ins on Foursquare’s consumer-facing apps (Swarm and City Guide). By utilizing three approaches to obtain Places data - UGC, machine learning, and third party verification - Places provides 2.4 million monthly updates to our data, ensuring that users receive the freshest and most accurate information to help power business decisions. Aside from precision and freshness, the breadth of detail that Foursquare Places provides is superior, encompassing more than 115 attributes including location, chain, hours of operation, social media presence, tips, photos, popularity, and more. Foursquare Places deliver these rich attributes with a strong focus on safeguarding consumer privacy. Consumers have clear visibility into and authority over their data, with double opt-in consent and easy opt-out.

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 (51)

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

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.)

120 million	POI
115	Attributes
1,100	Venue Categories
14 billion	User-verified Check-ins
1 billion	Photos, tips, and reviews

Free sample available

License	Starts at
One-off purchase	Not available
Monthly License	Not available
Yearly License	$18,000 / year
Usage-based	$5 / per 1000 API requests

Request detailed pricing

Methods

Frequency

Format

Lead Generation Data Enrichment Retail Site Selection Point of Interest (POI) Mapping

Consumer Experience

Point of Interest (POI) Data Places Data

places datasets

6M POI (Point of Interest)

95% Accuracy

250 countries covered

Xtract.io offers comprehensive POI and Polygon data, featuring 6 million locations across 11 industries. With global coverage and detailed geospatial data, g...

11M POI (Points of Interest)

182 countries covered

2 years of historical data

Location data on global points of interest (POI), such as store, brand, address, location, lat/log, open-hours, and NAICS category. This high-quality locatio...

320 Billion Pieces of Online Content Analyzed Each Day

80% match rate

249 countries covered

Unlock unparalleled insights with our Places Dataset, providing comprehensive information about every Point of Interest (POI) data across 180+ countries. Enr...

420M MAU

90% horizontal accuracy

249 countries covered

We provide Location Intelligence Data/POI with identity data, which helps power geographical information system (GIS) tools and provides data-driven insights...

What is Foursquare Places: Global POI Data 120M+ POI?

What is Foursquare Places: Global POI Data 120M+ POI used for?

This product has 5 key use cases. Foursquare recommends using the data for Lead Generation, Data Enrichment, Retail Site Selection, Point of Interest (POI) Mapping, and Consumer Experience. Global businesses and organizations buy Point of Interest (POI) Data from Foursquare to fuel their analytics and enrichment.

Who can use Foursquare Places: Global POI Data 120M+ POI?

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

Which countries does Foursquare Places: Global POI Data 120M+ POI cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Foursquare is headquartered in United States of America.

How much does Foursquare Places: Global POI Data 120M+ POI cost?

Pricing for Foursquare Places: Global POI Data 120M+ POI starts at USD5 per per 1000 API requests. Connect with Foursquare to get a quote and arrange custom pricing models based on your data requirements.

How can I get Foursquare Places: Global POI Data 120M+ POI?

Businesses can buy Point of Interest (POI) Data from Foursquare and get the data via S3 Bucket, SFTP, and REST API. Depending on your data requirements and subscription budget, Foursquare can deliver this product in .json format.

What is the data quality of Foursquare Places: Global POI Data 120M+ POI?

You can compare and assess the data quality of Foursquare using Datarade’s data marketplace. Foursquare appears on selected Datarade top lists ranking the best data providers, including Top 10 POI Data Providers & APIs.

What are similar products to Foursquare Places: Global POI Data 120M+ POI?

This product has 3 related products. These alternatives include Global POI & Polygon Data Location Data Geofence Insights Comprehensive Coverage, Location Data Global Location Data on 52M+ POI SafeGraph Places, and The Data Appeal Places Data API, Dataset 200 Million+ POI Data Mapped. You can compare the best Point of Interest (POI) Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at

$5 / per 1000 API...

License	Starts at
One-off purchase	Not available
Monthly License	Not available
Yearly License	$18,000 / year
Usage-based	$5 / per 1000 API requests

Verified Provider

Foursquare Places: Global POI Data | 120M+ POI

Data Dictionary

Description

Country Coverage

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Foursquare
The Leading Location Intelligence Technology

Trusted by

Foursquare Places: Global POI Data | 120M+ POI

Data Dictionary

Description

Country Coverage

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Foursquare The Leading Location Intelligence Technology

Trusted by

Foursquare
The Leading Location Intelligence Technology