Skip to content
Start free

Data Marketplace · Jobs & talent

Indeed Job Listings Dataset

Compare public Indeed listings by role, employer, location, compensation context, description, and posting history.

Request Indeed sampleView fields
  • Records Job listing · Employer · Role
  • Source Indeed
  • Formats JSON · CSV · Parquet
Public Indeed listings become job, employer, and role records with location, disclosed compensation, description, and posting history

Schema and fields

Build on Indeed records with context attached.

listing_idstring

Source listing identity

titlestring

Displayed role title

employerstring

Displayed employer

locationobject

Displayed job location

compensationobject

Displayed pay context where present

descriptionstring

Public listing description

listing_urlurl

Public source URL

captured_attimestamp

Collection time

Freshness and delivery

Keep Indeed data aligned with your analysis cycle.

Define how frequently the selected query and market scope should be re-observed and how listing state changes appear in delivery.

SnapshotStart from a dated baselineSelected scope and collection window
RefreshReceive recurring updatesCadence and change behavior
FormatUse JSON, CSV, or ParquetSchema, partitioning, and manifest
ValidationRun repeatable checksCounts, fields, missing states, and version

Indeed applications

Put Indeed records to work.

01

Role and location demand

Compare public listing patterns across markets, employers, and job families.

02

Compensation research

Study displayed salary or pay context while preserving currency, period, location, and source.

03

Posting lifecycle analysis

Distinguish first observed, changed, still observed, and no-longer-observed listing states.

From sample to production

Test Indeed Job Listings records in your data stack.

  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.

Indeed dataset FAQ

Plan the right Indeed Job Listings collection.

What does the Indeed Job Listings Dataset include?

Compare public Indeed listings by role, employer, location, compensation context, description, and posting history.

What can I build with Indeed data?

  • Role and location demand

  • Compensation research

  • Posting lifecycle analysis

How can the Indeed dataset stay current?

Define how frequently the selected query and market scope should be re-observed and how listing state changes appear in delivery.

When should I use the Indeed 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 Indeed data to the wider use case.

Start with real records

Request an Indeed dataset sample.

Share the sources, fields, markets, and dates you need. Review a sample before choosing delivery.

Request a dataset sampleBrowse all datasets