ATS Jobs Scraper – Greenhouse, Lever, Ashby, SmartRecruiters & Recruitee

Get every open job straight from a company's own career board, in one clean schema, no matter which applicant tracking system (ATS) the company uses. Supported: Greenhouse, Lever, Ashby, SmartRecruiters and Recruitee.

Give it job-board URLs, company websites (the careers page is checked for a board link) or just company names. Filter by job title, location, department, remote and posting date — you only pay for jobs that pass your filters.

Price: $1 per 1,000 jobs ($0.001 each). Companies without a supported board, empty boards and filtered-out jobs are free.

Screenshots are rendered from a real run on 2026-10-01 (run input, SUMMARY record and dataset), not mock-ups.

Why use this scraper

💵 Price	$1 per 1,000 jobs, no monthly rental (plus Apify's tiny per-run start fee)
🎯 Filter before you pay	Title keywords, excluded words, location, department, remote-only and "posted in the last N days" are applied before charging
🧭 Auto-detects the ATS	Paste ramp.com and it finds jobs.ashbyhq.com/ramp from the careers page; paste Figma and it tries the common board names
🧱 One schema for 5 platforms	Same fields for every job: title, department, team, location(s), remote, workplace type, employment type, posted date, URL, apply URL, salary, description
💰 Salary when published	Ashby, Lever and Recruitee salary ranges come through as numbers (min, max, currency, interval)
📋 Per-company summary	A SUMMARY record shows which board was found, how, and how many jobs were open, matched and returned
🤖 AI-agent ready	Callable from Claude, ChatGPT & Cursor through Apify's MCP server

Data comes from each ATS's public job-board API (the same feed the company's careers page uses), so it is current at run time and there are no proxies or logins involved.

What you can use it for

• 📈 Sales signals – companies hiring "Head of Data" or "Salesforce Admin" are telling you what they are buying next.
• 🧑‍💼 Recruiting & sourcing – watch competitors' openings, or build a niche job board from a list of companies.
• 🏢 Market and competitor research – hiring by department and location shows where a company is investing.
• 🧠 AI agents & RAG – fresh, structured job data with plain-text descriptions, ready for an LLM.

How to use

1. Click Try for free.
2. Add companies: board URLs, websites, names or ats:board (e.g. greenhouse:airbnb).
3. Optionally add filters, then click Start. Download results from the Output tab as JSON, CSV or Excel.

Input example

{
  "companies": ["https://jobs.lever.co/palantir", "ramp.com", "greenhouse:airbnb", "Figma"],
  "titleKeywords": ["engineer"],
  "excludeTitleKeywords": ["senior", "staff", "manager"],
  "locations": ["New York", "Remote"],
  "postedWithinDays": 60
}

Field	Description
companies	Board URLs, company websites, company names or ats:board
titleKeywords / excludeTitleKeywords	Keep jobs whose title contains any of these / drop jobs containing any of these (case-insensitive)
locations	Keep jobs whose location, extra locations, country or workplace type contains any of these
departments	Keep jobs whose department or team contains any of these
remoteOnly	Only jobs marked remote
postedWithinDays	Only jobs first published in the last N days (0 = any)
maxJobsPerCompany	Newest first; 0 = no limit
includeDescription	Full description as plain text (default true, same price)

Output example

A real item from a run on 2026-10-01 (description shortened):

{
  "company": "Ramp",
  "ats": "Ashby",
  "boardSlug": "ramp",
  "jobId": "b55447c0-4adc-42eb-9ca2-f88fd44e0e5b",
  "title": "Partner Development Representative | Accounting",
  "department": "Sales",
  "team": "Channel Sales",
  "location": "New York, NY (HQ)",
  "locations": [
    "New York, NY (HQ)",
    "Remote (US)"
  ],
  "remote": true,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "postedAt": "2026-09-30T22:45:28.341Z",
  "updatedAt": null,
  "url": "https://jobs.ashbyhq.com/ramp/b55447c0-4adc-42eb-9ca2-f88fd44e0e5b",
  "applyUrl": "https://jobs.ashbyhq.com/ramp/b55447c0-4adc-42eb-9ca2-f88fd44e0e5b/application",
  "salary": {
    "min": 110000,
    "max": 120000,
    "currency": "USD",
    "interval": "1 YEAR",
    "text": "$110K - $120K"
  },
  "descriptionText": "ABOUT RAMP\n\nRamp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how ove…",
  "country": "USA",
  "input": "ramp.com",
  "scrapedAt": "2026-10-01T01:53:15.565Z"
}

Also saved: a SUMMARY record in the run's key-value store with one entry per input (status, ats, boardSlug, detectedVia, jobsOnBoard, jobsMatched, jobsReturned, error).

Test results

From real runs on 2026-10-01: 5 companies on 5 different platforms → 20 jobs, 20 charged. With filters (engineer, not senior/staff/manager, New York or Remote, last 60 days) on 5 companies → 39 jobs, 0 filter violations, 39 charged. Three inputs with no board (dead domain, made-up board names) → 0 jobs, $0 charged. A run with a $0.0035 maximum cost stopped at exactly 3 jobs.

Limits you should know about

• Five ATS platforms only. Companies on Workday, iCIMS, Taleo, Workable, Personio or their own custom system are reported as "not found" in SUMMARY and cost nothing.
• Name guessing can pick the wrong board. When you give a name or a website without a board link, common board names are tried (e.g. stripe on Greenhouse). detectedVia says when this happened; give the board URL for certainty.
• Fields depend on what each company fills in: not every board publishes salary, department or employment type, so those can be null. Greenhouse has no salary field.
• postedAt is the platform's publish date (Lever: created date). Some companies repost jobs, which resets it.
• Open jobs only; there is no history of closed jobs.

Pricing

Pay-per-event: $0.001 per job returned (= $1 per 1,000). Inputs without a board and jobs removed by your filters are free, and runs respect your maximum cost per run exactly. Apify's free plan includes monthly credits, so you can try it at no cost.

Quick start in Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("siftwright/ats-jobs-scraper").call(run_input={
    "companies": ["ramp.com", "https://jobs.lever.co/palantir"],
    "titleKeywords": ["engineer"],
})
# apify-client 3.x (pip install apify-client); on 2.x use run["defaultDatasetId"]
for job in client.dataset(run.default_dataset_id).iterate_items():
    print(job["company"], "|", job["title"], "|", job["location"], "|", job["url"])

Use it via API

curl -X POST "https://api.apify.com/v2/acts/siftwright~ats-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies":["greenhouse:airbnb"],"titleKeywords":["data"],"includeDescription":false}'

Works with Python and JavaScript API clients, Make, Zapier, n8n, LangChain and LlamaIndex. AI agents (Claude, ChatGPT, Cursor) can call it through Apify's MCP server: https://mcp.apify.com?tools=siftwright/ats-jobs-scraper.

FAQ

Which ATS does a company use? You don't need to know. Give the website and the scraper checks the careers page for a Greenhouse, Lever, Ashby, SmartRecruiters or Recruitee link; the SUMMARY record tells you what it found.

Why do I pay per job and not per company? So that small, filtered searches stay cheap. If you only want product-manager roles in London, you pay only for those.

Can I monitor companies daily? Yes: save the input as a task, schedule it, and use postedWithinDays: 1 to get only new postings.

Is it legal? It reads public job-board feeds that companies publish so their openings can be found. Use the data in line with applicable law and the boards' terms.

Something broke or you need another ATS? Open an issue on the Issues tab or email support@siftwright.com.