Foursquare Places API: Place Search for Mobile App Building | Optimized User Engagement
# | 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 | 50677d30e4b0f328dff59bec | |
name
|
String | 7-Eleven | |
name_translated
|
String | null | |
latitude
|
Float | 40.76085 | |
longitude
|
Float | -73.998013 | |
geocodes
|
String | {"drop_off":{"longitude":-73.99795,"latitude":40.760884},... | |
address
|
String | 555 W 42nd St | |
address_extended
|
String | null | |
locality
|
String | New York | |
dma
|
String | New York | |
region
|
String | NY | |
postcode
|
Integer | 10036 | |
admin_region
|
String | null | |
post_town
|
String | null | |
neighborhood
|
String | ["Hell's Kitchen","Midtown","Midtown West","West Side"] | |
po_box
|
String | null | |
date_created
|
DateTime | 2012-09-29T00:00:00+00:00 | |
date_refreshed
|
DateTime | 2023-09-13T00:00:00+00:00 | |
fsq_category_ids
|
String | [17029] | |
fsq_category_labels
|
String | [["Retail","Convenience Store"]] | |
fsq_chain_id
|
String | ["ab4ba0c0-d68a-012e-5619-003048cad9da"] | |
fsq_chain_name
|
String | ["7-Eleven"] | |
parent_id
|
String | null | |
subvenue_count
|
String | null | |
closed_bucket
|
String | VeryLikelyOpen |
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 | Not available |
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 API: Place Search for Mobile App Building Optimized User Engagement?
Building incredible location features with Foursquare Places API. All Foursquare APIs are built on our best-in-class geospatial database of 120M POIs across 200+ countries, 16B human verified check-ins, and 1B+ photos, tips, and reviews.
What is Foursquare Places API: Place Search for Mobile App Building Optimized User Engagement used for?
This product has 5 key use cases. Foursquare recommends using the data for Personalization, Consumer Experience, Place Search, Place Discovery, and Geotagging. Global businesses and organizations buy Point of Interest (POI) Data from Foursquare to fuel their analytics and enrichment.
Who can use Foursquare Places API: Place Search for Mobile App Building Optimized User Engagement?
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 API: Place Search for Mobile App Building Optimized User Engagement 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 API: Place Search for Mobile App Building Optimized User Engagement cost?
Pricing for Foursquare Places API: Place Search for Mobile App Building Optimized User Engagement 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 API: Place Search for Mobile App Building Optimized User Engagement?
Businesses can buy Point of Interest (POI) Data from Foursquare and get the data via REST API.
What is the data quality of Foursquare Places API: Place Search for Mobile App Building Optimized User Engagement?
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 API: Place Search for Mobile App Building Optimized User Engagement?
This product has 3 related products. These alternatives include The Data Appeal Places Data API, Dataset 200 Million+ POI Data Mapped, OpenWeb Ninja Yelp Consumer Review Data & Ratings, Local Business Listings Data, Restaurants, Home Services + More Global Coverage Real-Time API, and Global Home & Professional Service Data. 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.