Recruiting analytics and labor market research
Analyze trends over time with historical data, industry context, and normalized job metadata.
How it works with the jobdata API
- Job post data since January 2023 with normalized geo data (region, country, state, city), job types, experience levels and languages.
- Company industry, type and size attributes for segmenting demand.
- Date windows (
published_since,published_until) and ID ranges for reproducible pulls. - Weekly full-database CSV and Parquet downloads (access ultra) for warehouse or notebook analysis without paging through the API.
Example request
curl -X GET -H "Authorization: Api-Key YOUR_API_KEY" "https://jobdataapi.com/api/jobs/?country_code=GB&published_since=2026-10-01&published_until=2026-10-31&description_off=true"All endpoints are public with live data for testing/structure review in a limited fashion. Add an API key to remove anonymous limits according to your plan.
Recommended plan: access
access covers API-based analysis of the full database. Choose access ultra if you would rather work with complete weekly CSV or Parquet dumps. All plans are flat-rate with unlimited usage - no credits, no usage caps, no overage surprises.
Related docs and tutorials
Practical Parquet Analytics: Hiring Signals and Labor-Market Intelligence
Build B2B prospect lists and salary and remote-work benchmarks from the weekly jobs and companies Parquet download with DuckDB and Python.
CSV and Parquet File Downloads Documentation
Weekly CSV and Parquet downloads for complete job data, company context, and analytical workflows.
Date, ID, and Age Slicing Parameters Documentation
Slice smarter, sync faster: precise dataset windows for the /api/jobs/ endpoint
Retrieving and Working with Industry Data for Imported Jobs
A step-by-step guide through the process of retrieving industry information from the companies associated with the jobs you've already imported.
More use cases
Explore jobdata API with AI tools
Ask an AI assistant how to search and build with live job data.