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Data Marketplace · Companies & locations

Yelp Business Locations Dataset

Map public Yelp business listings with categories, addresses, hours, ratings, and location context for selected markets.

Request Yelp sampleView fields
  • Records Business · Location · Category
  • Source Yelp
  • Formats JSON · CSV · Parquet
Dataset preview · yelp business locationsReady
Observation 01

An illustrative view of how business, location, category…

.

Field 01
An illustrative view of how business, location, category…
{
  "business_name": "Example Coffee",
  "categories": [
    "Coffee & tea"
  ],
  "address": {
    "city": "Austin",
    "region": "TX"
  },
  "rating": 4.4,
  "listing_url": "https://example.test/place",
  "captured_at": "2026-08-07T11:00:00Z"
}
An illustrative view of how business, location, category and collection context arrive together.

Schema and fields

Build on Yelp records with context attached.

Start with business, location, category. Source identity, collection time, and field meaning stay connected so records can move into analysis without losing their context.

business_name string

Displayed listing name

listing_url url

Public source URL

categories array

Displayed business categories

address object

Location components

coordinates object

Available map position

hours array

Displayed operating hours

rating decimal

Observed rating summary

captured_at timestamp

Collection time

Freshness and delivery

Keep Yelp data aligned with your analysis cycle.

Set the refresh around how often listing attributes, hours, categories, and rating summaries need to update the location view.

Snapshot Start from a dated baseline Selected scope and collection window

Refresh Receive recurring updates Cadence and change behavior

Format Use JSON, CSV, or Parquet Schema, partitioning, and manifest

Validation Run repeatable checks Counts, fields, missing states, and version

Yelp applications

Put Yelp records to work.

Use source-linked, time-stamped records for local market mapping, plus location record enrichment. Each application starts from the same documented fields and collection context.

01

Local market mapping

Build selected place inventories by category, geography, and public listing context.

02

Location record enrichment

Add public addresses, categories, hours, and source URLs to business-location records.

03

Listing change research

Compare observed hours, category, rating, and listing-state changes across deliveries.

From sample to production

Test Yelp Business Locations records in your data stack.

Start with representative rows, run the joins and calculations that matter, and shape delivery around the system that will consume the data.

  1. 01

    Choose the useful scope

    Select the entities, markets, fields, dates, and business output the collection should support.

  2. 02

    Run a sample through your stack

    Check identifiers, fields, joins, missing states, and source context with your own queries or models.

  3. 03

    Set the delivery pattern

    Choose the snapshot or recurring schedule, file format, partitions, manifest, and destination.

Yelp dataset FAQ

Plan the right Yelp Business Locations collection.

What does the Yelp Business Locations Dataset include?

Map public Yelp business listings with categories, addresses, hours, ratings, and location context for selected markets. Core records include business, location, category, operating hours, rating summary.

What can I build with Yelp data?

Common applications include local market mapping, location record enrichment, listing change research. Start with the fields and time window required by the business output.

How can the Yelp dataset stay current?

Set the refresh around how often listing attributes, hours, categories, and rating summaries need to update the location view.

When should I use the Yelp API instead?

Use the on-demand API when your application chooses individual requests and timing. Choose this dataset for a prepared bulk snapshot or recurring file delivery.

Continue the data journey

Connect Yelp data to the wider use case.

Compare the adjacent dataset, open the source API, or continue into the relevant data, industry, and solution pages.

Start with real records

Request a Yelp dataset sample.

Tell us which business and location data you need, plus the markets, fields, dates, and destination. We will map the collection to that requirement.

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