Data Marketplace · Jobs & talent
Jobs & Talent Datasets
Turn public job postings into structured views of employers, roles, skills, locations, and posting activity.
Compare datasets
Choose a source built around the records you need.
Choose the job source and market that match your talent question, then compare role, employer, location, description, compensation, and timing fields.
LinkedIn Jobs Dataset
Turn public LinkedIn job postings into structured employer, role, seniority, location, skills, and posting-activity records.
- Job posting
- Employer
- Role
- Location
Indeed Job Listings Dataset
Compare public Indeed listings by role, employer, location, compensation context, description, and posting history.
- Job listing
- Employer
- Role
- Compensation observation
What the records preserve
Keep the context that makes every value usable.
Each posting stays connected to its employer, role, location, source URL, publication context, and collection history for consistent labor-market analysis.
- Built forHiring-demand analysis
- Built forSkills and role mapping
- Built forEmployer and labor-market research
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
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Build your data brief
Start with sample data for jobs & talent.
Share the sources, fields, markets, and dates you need. Review a sample before choosing delivery.