Job posting
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Data Marketplace · Jobs & talent
Turn public job postings into structured views of employers, roles, skills, locations, and posting activity.
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Compare datasets
Choose the job source and market that match your talent question, then compare role, employer, location, description, compensation, and timing fields.
Turn public LinkedIn job postings into structured employer, role, seniority, location, skills, and posting-activity records.
Job posting
Employer
Role
Location
View LinkedIn dataset →
Indeed
Compare public Indeed listings by role, employer, location, compensation context, description, and posting history.
Job listing
Employer
Role
Compensation observation
View Indeed dataset →
What the records preserve
Each posting stays connected to its employer, role, location, source URL, publication context, and collection history for consistent labor-market analysis.
How to evaluate the collection
Check the records in the tools and models that will use them, then choose the refresh pattern and file structure your team can run repeatedly.
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Name the entities, markets, fields, history, and business output the collection must support.
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Test identifiers, field meaning, joins, missing states, and source context in a representative sample.
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Select the snapshot or recurring schedule, format, partitioning, manifest, and destination.
Connected journeys
Continue into the data model, industry, or solution page closest to your use case.
More data families
Build your data brief
Tell us which entities, markets, fields, dates, and destination matter. We will connect those requirements to the most relevant marketplace collection.