New York City Coffee Shops: A POI Data Snapshot for Local Discovery

Structured place data can make local discovery more useful. In a filtered sample of operational US POI listings collected around August 29, 2026, 51 coffee shop records were associated with New York City. This is a data snapshot for research and discovery, not a ranking or endorsement.

Signals in the listing data

Examples in the sample include 787 Coffee (4.9 from 2,920 reviews), Royal Coffee (4.9 from 260 reviews), and Sojourner Coffee (4.9 from 218 reviews). Public ratings and review counts are time-bound signals that add context to a POI record; they do not guarantee quality, availability, or a particular experience.

What this category can support

The dataset can be used for neighborhood discovery, map interfaces, and local-business research. Each structured record can include place name, category, city, address, coordinates, operating status, public rating, review count, and collection time. Used together, these fields support filters, validation queues, geographic comparisons, and content organized around genuine local demand.

Keep place information current

Business status, hours, category labels, ratings, and reviews can change. Validate time-sensitive details before using them in a consumer-facing product or operational decision. For sensitive categories such as day care and pharmacies, direct provider and regulatory verification remains essential.

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