Data Marketplace · Companies & locations
Company & Location Datasets
Build company, account, branch, and place views from structured public organization and location records.
Compare datasets
Choose a source built around the records you need.
Start with the entity you need to enrich—company or business location—then compare identifiers, profile attributes, geography, and source links.
LinkedIn Companies Dataset
Create source-linked company profiles with organization identity, industry, location, workforce context, and public descriptions.
- Company
- Industry
- Headquarters
- Public profile
Yelp Business Locations Dataset
Map public Yelp business listings with categories, addresses, hours, ratings, and location context for selected markets.
- Business
- Location
- Category
- Operating hours
What the records preserve
Keep the context that makes every value usable.
Organization and location records stay linked through source identity, category, geography, public attributes, and collection time.
- Built forAccount and territory research
- Built forLocation intelligence
- Built forCompany record enrichment
How to evaluate the collection
Move from a representative sample to production-ready delivery.
- 01
Define the data outcome
Name the entities, markets, fields, history, and business output the collection must support.
- 02
Review source-linked records
Test identifiers, field meaning, joins, missing states, and source context in a representative sample.
- 03
Set refresh and delivery
Select the snapshot or recurring schedule, format, partitioning, manifest, and destination.
Connected journeys
Put the data to work across your stack.
More data families
Explore another dataset category.
Build your data brief
Start with sample data for companies & locations.
Share the sources, fields, markets, and dates you need. Review a sample before choosing delivery.