Places - Free New York City Sample

Foursquare has developed a map of the world using first-party data derived from over 14 billion explicit check-ins from our consumer apps and other high quality location data sources.

This trial dataset contains POI (points of interest like restaurants, coffee shops, museums, stadiums, etc.) for the city of New York across all categories and is available for free download.

Foursquare’s Places dataset comes with 25 core attributes and a multitude of optional extended attributes (6 add-on options). The full data schema can be viewed [here](https://location.foursquare.com/places/docs/flat-file-data-schema).

For more information please speak to your Foursquare representative via [e-mail].

Core Attributes Included:
- fsq_id
- name
- name_translated
- latitude/longitude
- geocodes
- address
- address_extended
- locality
- dma
- region
- postcode
- country
- 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
- census_block_id
- closed_bucket

Rich Attribute Add On Options:

All Extended Attributes (91 fields)
Ratings, Hours, & Social Media (13 fields)
Tips and Tastes (3 fields)
Best Photos (2 fields)
Calculated Scores (4 fields)
Tags (68 fields)
Data Matching (1 field)

**
Use Case Examples:**
- Place Search/Recommendation for Consumer Experience. Types of customers range from social platforms (e.g. enabling global geotags for Twitter) to food delivery services (e.g. restaurant discovery for sales outreach) to ride hail (e.g. address and place name matching for Uber).
- Trade area analysis, competitive analysis, and market research. Businesses with a physical footprint will benefit from Foursquare Places data to better enable site selection decisions and unlock the potential value of a geolocation.
- Transaction data enrichment. Transaction data can be messy, inconsistent, and lack key information necessary to give context to the transaction. By joining transaction data with POI data, businesses can better understand buyer behavior and model spend patterns – this enriched data helps improve products and delivers more engaging customer experiences

搜集汇总

背景与挑战

背景概述

该数据集是Foursquare提供的免费纽约市兴趣点样本，基于超过140亿次签到数据构建，包含25个核心属性和多个扩展属性。它适用于地点推荐、商业分析和交易数据增强等多种应用场景。