Job board API: the data layer for the job board you are building

Every job board is a thin UI over a hard data problem. The site is a weekend build; keeping it stocked with fresh, real, de-duplicated listings is the part that sinks most of them. If you are wondering how to build a job board in 2026, the honest answer is: do not start with a scraper farm, start with a job board API as your data layer.

What it actually takes to fill a job board

Empty job boards die. To launch with real inventory and keep it credible, you need four things that have nothing to do with your front end:

• Discovery. Finding where the jobs live - thousands of ATS tenants and boards, none of which publish a directory.
• Freshness and expiry. A board full of closed roles is worse than a small one. You have to detect removals, not just additions.
• Normalization. Salary, location, and employment type arrive in a hundred different phrasings and must become one schema before you can render or filter them.
• De-duplication. The same role is posted to an ATS, reposted to aggregators, and syndicated onward. Without dedup your board shows the same job five times.

The data layer: a job board API

A job board API hands you all four, already solved, behind one endpoint. JobsPipe indexes 30+ ATS and job-board sources, normalizes every posting into one shape, de-duplicates across sources, and serves the result from POST https://api.jobspipe.dev/v1/jobs/search. Your job board becomes a presentation layer over a clean feed.

Building the listing page

Fetch a page of recent jobs on the server, then render the cards. The data already has everything a listing card needs:

async function getListings() {
  const res = await fetch("https://api.jobspipe.dev/v1/jobs/search", {
    method: "POST",
    headers: {
      "Authorization": "Bearer jp_live_your_key_here",
      "Content-Type": "application/json",
    },
    body: JSON.stringify({ posted_at_max_age_days: 30, limit: 50 }),
  });
  const { data } = await res.json();
  return data;
}

const jobs = await getListings();

jobs.map((job) => (
  <article key={job.id}>
    <h3>{job.title}</h3>
    <p>{job.company} - {job.location.city}</p>
    <a href={job.apply_url}>Apply</a>
  </article>
));

Search and filters for your board

The same endpoint powers your board’s search box and category pages. Pass whatever the user picked - keywords, country, remote, recency - as filters:

curl https://api.jobspipe.dev/v1/jobs/search \
  -H "Authorization: Bearer jp_live_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{
    "job_title_or": ["designer"],
    "job_country_code_or": ["US"],
    "remote": true,
    "posted_at_max_age_days": 14,
    "limit": 25
  }'

Keeping listings fresh and removing expired jobs

The fastest way to lose trust is to send a candidate to a dead listing. Re-sync on a schedule with posted_at_max_age_days to bound how old anything on the board can be, and use the archived_at timestamp on jobs that have come down to hide or flag expired roles. Because de-duplication happens upstream, a role that appears on three sources is one row on your board, with one canonical apply link.

Monetization and the apply flow

The apply_url on every record points back at the original posting, so the default model is apply-out: candidates click through to the source. That keeps you out of the business of hosting applications while you monetize the board itself - featured or sponsored listings, niche curation, a newsletter, or affiliate arrangements on the apply click. The data layer stays the same regardless of how you charge.

Related research

• Job posting API: one endpoint for every job on the web
• Job search API: how to add job search to your product
• Where to get job posting data in 2026: 7 sources compared