Best of Restaurants

The 10 Best Restaurants Datasets in 2026

10 Restaurants picks, ranked on what's inside: field richness, coverage depth, fit for the job. Overture Maps Places leads — Overture Maps Places (Overture Maps Foundation), quality 10/10.

  • 10ranked picks
  • 0/8with mapped coverage

API, files, or your warehouse. Daily, weekly, or hourly.

Every dataset here carries a 0–10 score built on documented fields, and the ranking follows those scores. When records tie, coverage breaks it: more geography, deeper history, finer granularity. Cadence isn't a scoring axis — it's a delivery setting. Delivered daily, weekly, or hourly, your call.

  1. 1 10/10
    Restaurants

    Overture Maps Places

    Overture Maps Places (Overture Maps Foundation), quality 10/10.

  2. 2 UK Food Hygiene Rating Scheme Open Data
  3. 3 9/10
    Restaurants

    NYC DOHMH Restaurant Inspection Results

  4. 4 8/10
    Restaurants

    Yelp structured datasets

  5. 5 8/10
    Restaurants

    Foursquare Places API

    Place Search filters on fsq_category_ids, fsq_chain_ids, exclude_all_chains, min_price/max_price and open_now/open_at - the cleanest prospecting surface in the slice.

  6. 6 Yelp Places API
  7. 7 7/10
    Restaurants

    Hugging Face Datasets - Restaurant Search

  8. 8 6/10
    Restaurants

    Data.gov Restaurant Catalog Search

  9. 9 9/10
    Consumer finance

    USDA Food Environment Atlas

    Store mix, assistance uptake, health and income in one keyed table.

  10. 10 9/10
    Highways railtracks

    OpenStreetMap Overpass API

Frequently asked questions

Which restaurants dataset covers the most establishments?

Overture Maps Places carries about 74 million place features per monthly release, with top-level Food and Drink alone holding 9,979,044 features in the August 2026 build. For rated food businesses specifically, the UK FHRS open data covers every establishment scored under FHRS in England, Wales and Northern Ireland and FHIS in Scotland, split across roughly 380 local authority feeds.

What is the most granular restaurant inspection dataset?

NYC DOHMH Restaurant Inspection Results publishes one row per violation per inspection per establishment - about 295,000 rows across 31 columns covering all five boroughs. Each row names its violation code and full description text, critical flag, numeric score, letter grade with grade date, cuisine description and geocodes down to census tract and NTA.

How do I compare US and UK restaurant hygiene regimes?

Pair NYC DOHMH letter grades against FHRS 0-5 ratings. Both resolve to establishment level with geocodes: DOHMH keys rows by CAMIS record ID with critical flags and numeric scores; FHRS records carry RatingValue, the component Hygiene, Structural and ConfidenceInManagement scores, RatingDate and the responsible local authority for every business in England, Wales, Northern Ireland and Scotland.

Does Datadory sell the underlying sources or add value on top?

Datadory delivers the records these publishers maintain - normalized schemas, documented field dictionaries, stable join keys and sample rows before commitment. One contract spans all three restaurants clusters instead of separate extractions for places footprints, inspection records and review corpora, and cadence is a configuration edit rather than a migration.