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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
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 |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | 9fbf6902-3259-43e0-b84d-c802b1940899 | POI ID | |
String | POI Name | ||
name_translated
|
String | ||
Decimal | 40.786342970476895, -119.2065156609571 | Latitude-Longitude | |
geocodes
|
String | {roof={latitude=43.437061, longitude=-84.004431}, drop_of... | |
String | Address | ||
String | Address | ||
String | Berlin | City Name | |
dma
|
String | ||
String | California | State Name | |
String | 10119 | Postal Code | |
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 | ||
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 | ||
String | {"saturday":[["9:00","18:00"]],"tuesday":[["9:00","18:00"... | POI Opening Hours | |
hours_popular
|
|||
hours_display
|
String | ||
String | POI Telephone | ||
String | https://www.apple.com | Website | |
String | Fax Number | ||
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 |
Description
Country Coverage
Volume
120 million | POI |
115 | Attributes |
1,100 | Venue Categories |
14 billion | User-verified Check-ins |
1 billion | Photos, tips, and reviews |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License |
$18,000 / year |
Usage-based |
$5 / per 1000 API requests |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Foursquare Places: Global POI Data 120M+ POI?
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.
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 The Data Appeal Places Data API, Dataset 200 Million+ POI Data Mapped, Global Bar & Restaurant Data Points of Interest (POI), and Location Data Global Location Data on 52M+ POI SafeGraph Places. 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.