Jobs, Greenhouse, Lever, Ashby

Greenhouse, Lever and Ashby job board APIs, and when a scraper is worth it

Greenhouse, Lever and Ashby each publish a free job board API: no key, one company per call. If you need one company's jobs, use them; the calls are below. A scraper earns its keep when you want hundreds of companies in one format, Workday and eight more systems in the same run, filters, and a daily list of what changed. That costs $1.50 per 1,000 jobs.

• Free endpoints first
• One schema, 12 systems
• Lever US and EU
• $1.50 per 1,000 jobs

The free endpoints

We called each of these on October 6, 2026 without any key or login and got a full board back:

curl -s "https://boards-api.greenhouse.io/v1/boards/stripe/jobs?content=true" | jq '.jobs | length'
curl -s "https://api.lever.co/v0/postings/palantir?mode=json" | jq 'length'
curl -s "https://api.ashbyhq.com/posting-api/job-board/openai" | jq '.jobs | length'

When the free endpoints are enough

One or a few known companies, all on the same system, and a developer happy to map the fields: use them. They are documented by the vendors, fast, and free. The board name is in the company's job links (job-boards.greenhouse.io/stripe, jobs.lever.co/palantir, jobs.ashbyhq.com/openai).

When a scraper is worth it

One schema across 12 systems

Every row has the same fields whichever system it came from: company, title, department, location, country, workplaceType, employmentType, createdAt, the description, jobUrl and applyUrl. Pay is parsed into salaryMin, salaryMax, salaryCurrency and salaryInterval where Lever, Greenhouse, Ashby, Recruitee or Rippling boards publish it.

Monitoring

monitorMode turns a scheduled run into a change feed: the first run saves every current job as new (the baseline), and later runs save only jobs that appeared (new, with firstSeenAt) or closed (removed, with removedDetectedAt). A job is reported as removed only after its board was read completely and the job itself is gone, so a temporary outage never looks like a wave of closed jobs. See hiring signals for a daily setup.

What it costs

$0.0015 per job on every plan, no start fee. Two hundred Greenhouse, Lever and Ashby companies with about 50 jobs each is 10,000 jobs: $15.00. Other Actors for these three systems cost about the same: bovi/greenhouse-lever-ashby-job-scraper lists $0.0015 per job on Free plus $0.00005 per run, and fantastic-jobs/greenhouse-jobs-api lists $2.00 per 1,000 on Free and Starter and $1.20 on Scale and Business (2026-10-15). Pick on coverage and fields, not price: ours adds Workday and the long-tail systems in the same schema.

Ask for it from ChatGPT, Claude or Cursor

The ATS Jobs Scraper works as a tool in ChatGPT, Claude, Cursor and VS Code through Apify's hosted MCP server. Add this URL as a custom connector and sign in with your Apify account; runs bill to that account. Then ask in plain English, for example "compare the open engineering roles at Stripe, Palantir and OpenAI by location".

https://mcp.apify.com/?tools=fetch-actor-details,yugenox/ats-jobs-scraper

claude mcp add --transport http yugenox-jobs "https://mcp.apify.com/?tools=fetch-actor-details,yugenox/ats-jobs-scraper"

The AI setup guide walks through each client.

Run it from code

A Greenhouse, a Lever and an Ashby board in one run, engineering jobs only: billed only for the jobs that match.

// Save as run.mjs, then: npm i apify-client && APIFY_TOKEN=... node run.mjs
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('yugenox/ats-jobs-scraper').call({
  companies: [
    "greenhouse:stripe",
    "lever:palantir",
    "ashby:openai"
  ],
  keywords: [
    "engineer"
  ],
  includeDescription: "none"
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const item of items) console.log(item.ats, item.company, item.title, item.location);

import os
from apify_client import ApifyClient  # pip install apify-client

client = ApifyClient(os.environ["APIFY_TOKEN"])

run = client.actor("yugenox/ats-jobs-scraper").call(run_input={
    "companies": ["greenhouse:stripe", "lever:palantir", "ashby:openai"],
    "keywords": ["engineer"],
    "includeDescription": "none",
})
if run is None:
    raise RuntimeError("Run did not finish")

for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item.get("ats"), item.get("company"), item.get("title"), item.get("location"))

# Small jobs: runs the Actor and returns the rows in one call (up to 5 minutes).
curl -X POST "https://api.apify.com/v2/acts/yugenox~ats-jobs-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies":["greenhouse:stripe","lever:palantir","ashby:openai"],"keywords":["engineer"],"includeDescription":"none"}'

Not affiliated with Workday, Inc., Greenhouse, Lever, Ashby or any other applicant tracking system vendor, or with any employer named on this page. Workday is a trademark of Workday, Inc.

Last updated 2026-10-06.