Building a job board means solving two problems: getting the data, and keeping it fresh. Most developers underestimate the second one. Scrapers break. Schemas change. What starts as a weekend project turns into a maintenance burden. CleanJobData handles both — pulling directly from Greenhouse, Lever, Ashby, and Workable so your board always shows what's actually posted, not what was posted before someone's career site changed its markup. One endpoint, consistent JSON, 1M+ active listings across 60+ countries.
Benefits
✓No scraping to maintain — we source directly from employer ATS systems. When a career site changes, that's our problem, not yours.
✓Pre-normalized data out of the box — title, company, location (with lat/lng), salary (min, max, currency), seniority, remote flag, employment type, and direct application URL.
✓Fresh listings continuously — new roles appear as companies post them. The 24h counter on cleanjobdata.com is live data, not marketing copy.
✓Filter server-side, not in your app — e.g. `?title=react+engineer&country_id=US&remote=true&experience_level=SE,EX&salary=140000` returns exactly the rows you want to render, no client-side filtering of an oversized payload.
✓Company metadata included — logo, headcount, LinkedIn URL, and description returned alongside each job. Your job cards look complete without extra API calls.
✓No attribution required — your job board, your brand. No 'Powered by' badge anywhere.
Features
•REST API with cursor pagination (next_page/prev_page) to walk large result sets, plus created_max_age for incremental syncs — pull only jobs ingested since your last run instead of re-downloading the catalog
•Full-text search combined with structured filters — find 'senior React engineer in Berlin, remote' in one query: `?title=react+engineer&city_id=<berlin_id>&remote=true&experience_level=SE`
•Geo Suggest API included on paid plans — autocomplete for location fields in your search UI, see /docs/api/geo/suggest
•Normalized salary fields — min, max, currency — across all listings where the employer provides it
•Company metadata — logo, headcount, LinkedIn, description — returned with every job
•Next.js 16 starter template — deploy a production-ready job board in one click, then customize
•60+ country coverage with city-level precision — lat/lng, city ID, country code, and timezone on every listing
Frequently Asked Questions
How fresh is the job data?
New listings are indexed continuously as companies post them to their ATS. Most data is under 24 hours old. We added 14,000+ jobs in the past 24h — you can see the live counter at cleanjobdata.com.
Do I need to show attribution or credit CleanJobData anywhere?
No. There's no attribution requirement. Unlike some job data providers, we don't require 'Powered by' branding. Your job board is your product.
How do I handle pagination for a large job board?
Every list response includes a next_page cursor token — pass it back to fetch the next page, useful for indexing your whole catalog in a single pass. To keep your board in sync afterward, run a recurring job with created_max_age (e.g. created_max_age=1d) so each run pulls only the jobs added since the last one. See /guides/syncing-job-data-in-depth for the full sync pattern.
Can I build a niche job board (e.g., remote React jobs only)?
Yes — combine title, remote, experience_level, country, and salary filters to scope a feed to any niche. If you're building a focused board rather than a general one, see the Niche Job Board use case for filter patterns and pre-scoped feed examples.
Is there a job board template I can use?
Yes — we provide a Next.js 16 starter template with full-text search, advanced filters, SEO optimization, and mobile-first design. Deploy to Vercel or Netlify in one click at cleanjobdata.com/templates.
What's the minimum plan for a production job board?
The Starter plan ($97/mo) gives you 100,000 requests per month, full pagination, all filters, and the Geo Suggest API. That's enough for most production job boards. The free trial (250 list + 500 detail requests/mo) lets you prototype and verify the data quality before committing.
