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ATS Jobs Feed - Greenhouse, Lever & Ashby Jobs Database

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from $1.50 / 1,000 jobs

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ATS Jobs Feed - Greenhouse, Lever & Ashby Jobs Database

ATS Jobs Feed - Greenhouse, Lever & Ashby Jobs Database

Search a daily-updated database of jobs from 1,000+ companies on Greenhouse, Lever, Ashby, Workable, Recruitee and Personio, no crawling wait. Input: keywords, countries, remote, posted within (1h-6m), new/expired mode. Returns per job: title, company, location, salary, URL. Default: 20. $1.50/1K.

Pricing

from $1.50 / 1,000 jobs

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Bence Kadi

Bence Kadi

Maintained by Community

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19 days ago

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ATS Jobs Feed: Greenhouse, Lever & Ashby jobs database API (+ Workable, Recruitee, Personio)

What is ATS Jobs Feed?

ATS Jobs Feed is a ready-made, daily-updated database of open jobs from company career pages on six applicant tracking systems (ATS): Greenhouse, Lever, Ashby, Workable, Recruitee and Personio. You don't list companies and you don't wait for a crawl: you search the feed by keyword, country, remote, posted time, ATS or company domain, and get the matching jobs as JSON, CSV or Excel in seconds.

Every job comes in one schema: title, company, company domain, ATS, apply URL, posted / first-seen / last-seen / expired timestamps, normalized location (city, region, country, ISO code), remote flag, employment type, department, salary (structured when the ATS publishes it, otherwise parsed from the description), language and description.

What makes it different

  • No crawling wait. The jobs are already indexed. A typical search finishes in a few seconds.
  • Only new jobs, or only expired jobs. mode: new returns jobs you haven't received before; mode: expired returns jobs that were taken down. Ideal for a daily schedule.
  • Real timestamps. postedAt from the ATS plus our own firstSeenAt, lastSeenAt and expiredAt, so you know exactly how fresh each job is.
  • Normalized location. "San Francisco, CA", "Remote (Canada)" and "Berlin, Germany" become city, region and ISO country code, so the country filter just works.
  • Salary included. Structured pay ranges from Ashby, Lever and Recruitee; ranges like "$120,000 – $150,000" parsed from descriptions elsewhere.
  • Cheap. $1.50 per 1,000 jobs. No start fee beyond Apify's $0.00005.
  • Privacy-safe. E-mail addresses and phone numbers are removed from descriptions.

Use cases: Generate leads (build B2B prospect lists, lead enrichment & validation) · Research markets & competitors (track competitors, build market datasets, track trends, profile companies & due diligence) · Developer tools (monitor & alert on website changes).

Use cases

  • Job boards and newsletters: a daily feed of new startup and tech jobs for your niche (e.g. "remote data engineer jobs in Europe").
  • Sales and lead generation (hiring signals): companies that just opened roles like "Head of RevOps" or "Security Engineer".
  • Recruiting agencies: new openings at target companies every morning, and a signal when a role is filled or pulled (mode: expired).
  • Labour-market research: salary ranges, remote share and hiring trends by country, ATS or department.
  • AI agents and RAG apps: fresh, structured job data through the Apify API or MCP server.

How fresh is the data?

  • Our private indexer crawls every company board in the feed once a day (early morning UTC). Each item has feedUpdatedAt, the time of the last crawl.
  • postedAt is the publication date the ATS itself reports (Greenhouse, Lever, Ashby, Recruitee and Personio give date and time; Workable gives the date).
  • firstSeenAt is when our crawler first saw the job, lastSeenAt when it last saw it, expiredAt when it disappeared from the board. Expired jobs stay in the feed for 30 days.
  • Posted within uses postedAt, or firstSeenAt when the ATS has no date. "Last hour" is useful right after the daily crawl; for alerts we recommend a daily schedule with "Last 24 hours" or "Last 7 days" plus mode: new.
  • The indexer keeps discovering new company boards every week, so coverage grows over time. Boards that are deleted drop out automatically.

How to use ATS Jobs Feed

  1. Type one or more keywords (prefill: engineer) and pick Posted within (prefill: last 7 days). The prefill returns 20 jobs in a few seconds for about $0.03.
  2. Optional: add countries, locations, remote, ATS platforms, company domains or title words to exclude.
  3. Click Start. Download the results from the Output tab as JSON, CSV, Excel or HTML, or connect them to Google Sheets, Zapier, Make or n8n.
  4. For alerts: set Mode to "Only new jobs since my last run" and create a daily Schedule.

Input guide

Keywords (keywords) and Search job titles only (titleOnly)

A job is kept if it contains ANY of the keywords as a whole word or phrase, not case-sensitive (accents are ignored). A trailing "s"/"es" is allowed, so engineer also matches "Engineers". With titleOnly: true (default) only the title is searched; with false the description is searched too.

  • Good: engineer, data scientist, product manager, account executive, c++
  • Warning: whole words only: engineer does not match "Engineering Manager"; add engineering if you want both.

Exclude titles containing (excludeKeywords): drop jobs whose title contains any of these whole words, e.g. senior, intern, manager.

Countries (countries): names or ISO codes (Germany, DE, United States, US). A job matches if ANY of its locations is in one of the countries. Remote jobs without a country, such as "Remote - EMEA", have no country code; use Locations for regions.

Locations (locations): free text matched as whole words against all locations of a job, its city, region and country, e.g. London, Bay Area, EMEA, Remote.

Remote (remote): yes = remote only; no = no remote jobs (hybrid and on-site stay); any = all. The flag comes from the ATS's workplace field when it has one, otherwise from "remote" in the location or title.

Posted within (timeRange): 1h, 24h, 7d, 30d, 6m or all. In expired mode it means "expired within".

ATS platforms (ats): greenhouse, lever, ashby, workable, recruitee, personio. Empty = all.

Company domains (companyDomains): e.g. stripe.com, ramp.com. Matches the company's careers domain and its job-board name (ramp.com matches the board jobs.ashbyhq.com/ramp).

Mode (mode) and Monitor name (monitorName): see Monitoring.

Max jobs (maxItems): newest jobs first; 0 = no limit. API default 1,000; Console prefill 20.

Description (descriptionFormat): text (default), html, both or none (fastest).

Example input:

{
"keywords": ["data engineer", "analytics engineer"],
"excludeKeywords": ["senior", "staff", "principal"],
"countries": ["DE", "NL", "GB"],
"remote": "any",
"timeRange": "7d",
"mode": "new",
"monitorName": "eu-data-engineers",
"maxItems": 500,
"descriptionFormat": "text"
}

Output

One item per job. Here is a real item from a local test run on 2026-10-05 (description shortened):

{
"id": "04c1be625d331d34",
"title": "Senior DevSecOps Engineer",
"company": "Justworks",
"companyDomain": null,
"ats": "greenhouse",
"board": "justworks",
"jobId": "8236867",
"url": "https://boards.greenhouse.io/justworks/jobs/8236867?gh_jid=8236867",
"applyUrl": "https://boards.greenhouse.io/justworks/jobs/8236867?gh_jid=8236867",
"status": "active",
"postedAt": "2026-10-05T13:49:16Z",
"firstSeenAt": "2026-10-05T13:48:42Z",
"lastSeenAt": "2026-10-05T14:17:33Z",
"expiredAt": null,
"updatedAt": "2026-10-05T13:56:43Z",
"location": "New York, New York",
"locations": [
"New York, New York",
"New York, NY"
],
"city": "New York",
"state": "NY",
"country": "United States",
"countryCode": "US",
"countryCodes": [
"US"
],
"latitude": null,
"longitude": null,
"remote": null,
"workMode": null,
"employmentType": null,
"employmentTypeRaw": null,
"department": "Engineering",
"team": null,
"seniority": null,
"salaryMin": 188000,
"salaryMax": 242000,
"salaryCurrency": "USD",
"salaryPeriod": "YEAR",
"salaryText": "$188,000.00 to $242,000.00",
"salarySource": "description",
"language": "en",
"description": "Who We Are\nAt Justworks, you’ll enjoy a welcoming and casual environment, great benefits…",
"descriptionHtml": null,
"boardUrl": "https://job-boards.greenhouse.io/justworks",
"feedUpdatedAt": "2026-10-05T14:17:33Z"
}

Data fields

FieldDescription
idStable job id in this feed (ATS + board + the ATS's job id)
title, company, companyDomainJob title; company name (from the ATS, or the board name); company's own domain when the job links to its careers site
ats, board, jobIdATS, board slug, the ATS's own job id
url, applyUrl, boardUrlJob page, application form, company job board
statusactive or expired
postedAt, firstSeenAt, lastSeenAt, expiredAt, updatedAtSee How fresh is the data? (updatedAt: Greenhouse only)
location, locationsLocation text as published (primary, all)
city, state, country, countryCode, countryCodesNormalized location; countryCodes = all countries of the posting
latitude, longitudeWhen the ATS publishes coordinates (rare; usually null)
remote, workModetrue/false/null; remote, hybrid, onsite or null
employmentType, employmentTypeRawFULL_TIME, PART_TIME, CONTRACT, INTERNSHIP, TEMPORARY or null; the original value
department, team, seniorityAs published (seniority: Personio only)
salaryMin, salaryMax, salaryCurrency, salaryPeriod, salaryText, salarySourcePay range; YEAR/MONTH/HOUR; ats (structured) or description (parsed)
languageDetected language of the posting (en, de, fr, ...)
description, descriptionHtmlDescription as text and/or HTML, e-mails and phone numbers removed
feedUpdatedAtTime of the crawl this item comes from

Missing values are null, so CSV and Excel exports always have the same columns. The run also writes a RUN_SUMMARY record: feed update time, jobs scanned, matched, already seen and saved.

Dataset views

ViewWhat it shows
JobsTitle, company, ATS, location, country, remote, posted, salary, status, link
Full detailsAdds domain, department, team, employment type, city/region/country, all locations, timestamps, salary text, language, description, apply link

Monitoring (new and expired jobs)

  • mode: new returns only jobs this monitor has not returned before. The first run returns everything that matches (your baseline); later runs return only new matches. Schedule it daily with "Last 7 days".
  • mode: expired returns jobs that disappeared from their board (filled or pulled) and were not reported by this monitor before. Each is charged as the cheaper expired-job event.
  • Use different Monitor names for different searches, e.g. berlin-engineers and us-sales. A new name starts a fresh baseline.
  • The memory of returned jobs is stored in a named key-value store (ats-jobs-feed-monitor) in your Apify account. Only jobs that were actually saved (and charged) are remembered; jobs cut off by Max jobs or Max charge per run come in the next run, never twice.

Pricing

Pay per event:

EventPrice
job (a job saved in active or new mode)$1.50 per 1,000 ($0.0015 each)
expired-job (a job saved in expired mode)$0.30 per 1,000
Actor start (Apify standard)$0.00005 per run
ExampleJobsCost
Prefill test (20 engineer jobs)20about $0.03
1,000 matching jobs1,000$1.50
Daily alert, ~50 new jobs/day for 30 days1,500about $2.25/month
Daily expiry check, ~30 expired/day for 30 days900about $0.27/month

You don't pay for jobs removed by filters, jobs already returned to the same monitor, or empty runs. To cap spending, set Max charge per run in the run options; the Actor stops cleanly at the limit.

Use it via API

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('kadi_bence/ats-jobs-feed').call({
keywords: ['product manager'],
countries: ['US'],
remote: 'yes',
timeRange: '24h',
maxItems: 200,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("kadi_bence/ats-jobs-feed").call(run_input={
"keywords": ["machine learning engineer"],
"countries": ["GB", "DE"],
"timeRange": "7d",
"mode": "new",
"monitorName": "ml-europe",
})
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
print(job["company"], job["title"], job["countryCode"], job["salaryMin"], job["url"])

cURL (runs and returns the jobs in one request)

curl -X POST "https://api.apify.com/v2/acts/kadi_bence~ats-jobs-feed/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"keywords": ["engineer"], "timeRange": "24h", "maxItems": 100}'

MCP server for AI agents

{ "mcpServers": { "apify": { "url": "https://mcp.apify.com/?actors=kadi_bence/ats-jobs-feed" } } }

Then ask: "Find remote data engineering jobs in Europe posted in the last 24 hours, with salary."

Integrations and scheduling

  • Schedules: Console > Schedules > Create new, pick this Actor or a saved task, e.g. daily at 08:00 UTC (after the morning crawl).
  • Google Sheets / Slack / e-mail: use the Google Sheets integration, or Zapier / Make / n8n: "Actor run finished" > "Get dataset items" > send each job.
  • Webhooks: Integrations tab > "Run succeeded" to notify your server.

Other job scrapers by the same developer

FAQ

How is this different from the Greenhouse, Lever & Ashby Jobs Scraper? The scraper fetches live jobs from the companies you name. This feed is pre-indexed: you search across all indexed companies at once, by keyword and filters, and get new/expired tracking for free. Use the scraper for a specific company list; use the feed for market-wide search and alerts.

Which companies are included? Company boards on the six ATSs that our indexer has discovered and validated: from boards companies publish in public hiring threads, company lists and job-board links. The RUN_SUMMARY shows how many boards and active jobs the feed had at that moment. Missing a company? Use the ATS Jobs Scraper for it, or open an issue and we'll add the board.

How fresh is it? Updated once a day; see How fresh is the data?. Every item carries feedUpdatedAt.

Why did I get fewer jobs than I expected? Check the filters: keywords are whole words, countries need a known country (not "Remote - EMEA"), and Posted within defaults to 7 days. RUN_SUMMARY shows how many jobs were scanned and matched.

Why is the salary empty? Many companies don't publish pay. It is filled when the ATS has a structured range or the description contains a clear range with a currency.

Is this legal? The feed contains public job postings read from the public job-board endpoints the ATS vendors provide for publishing jobs. The indexer respects robots.txt and crawl-delay, doesn't log in, and removes e-mail addresses and phone numbers from descriptions, so no personal data is stored. You are responsible for how you use the data.

The run failed with "The jobs feed could not be read". That is a problem on our side (the feed is being updated or unreachable), not with your input. Try again in a few minutes and open an issue if it persists.

Need a custom version?

I build custom scrapers, scheduled data feeds and integrations (CSV, Excel, Google Sheets, API, MCP for AI agents). Tell me the sites and fields you need:

More low-cost Actors by the same developer, built on official APIs and public data:

All my Actors: apify.com/kadi_bence

Changelog

  • 2026-10, 1.0: first release: six ATSs, keyword/country/location/remote/time/ATS/domain filters, new and expired monitoring modes, normalized location and salary.