Foursquare Places

Foursquare Places API is a global points-of-interest (POI) data API built on Foursquare's geospatial database of 100M+ places across 200+ countries, enriched by 16B+ human-verified check-ins and 1B+ photos, tips, and reviews accumulated over 15+ years from its consumer apps (Swarm, City Guide) and the FSQ developer ecosystem. The v3 API exposes Place Search, Place Details, Autocomplete/Address Autofill, Place Match, and Geotagging Candidates (the "Place Snap" snap-to-POI technology), plus premium fields for tips, photos, hours, ratings, and real-time popularity. It is positioned explicitly as a Google-independent alternative: a recurring sales theme is that you are not "partnering with your own competitors," which appeals to travel, fintech, retail, real-estate, and navigation companies wary of Google Maps Platform lock-in and pricing.

The product's standout differentiator is the depth and structure of its venue data: a 1,500+ category taxonomy with stable category IDs, rich attributes (hours, features, social handles), and user-generated tips/photos that competitors often lack. In November 2024 Foursquare also released FSQ OS Places, a free Apache-2.0 open dataset of 100M+ POIs (106M+ by late 2025) updated monthly as Parquet/Iceberg, which reframes the company as both an API vendor and an open-data steward. For developers who want a hosted, queryable, regularly-updated POI service with strong categorization and no Google dependency, the Places API is a credible mid-market choice. Pricing is transparent pay-as-you-go (CPM, calls-per-million model) with a 10,000-call/month free Pro tier, though Premium endpoints (tips, photos) carry no free allowance and start at $18.75 per 1,000 calls.

The main caveats are coverage and licensing. Outside dense urban and US/Western markets, freshness and completeness can trail Google, and tips/photo depth varies. The hosted API's licensing is restrictive, data is provided under a limited, revocable license that generally cannot be stored, merged, or redistributed outside your application, which is a real friction point for analytics use cases (the open FSQ OS Places dataset exists partly to address this). The product also has almost no third-party review footprint (G2 and Capterra list it but with effectively zero scored reviews), so social proof is thin and most sentiment comes from developer forums and the open-data launch discussion rather than structured review sites.