ATS Jobs Scraper API — Greenhouse, Lever, Ashby, Workable, Recruitee, SmartRecruiters & Personio

Pull live job postings straight from company career boards on 7 applicant tracking systems and get them back in one clean schema — with salary ranges annualized, plus remote / hybrid / onsite, seniority, job category and tech stack on every row.

• 7 ATS, one input. Greenhouse, Lever, Ashby, Workable, Recruitee, SmartRecruiters and Personio. Paste board names (stripe), ats:name (smartrecruiters:Wise), careers URLs or domains — the ATS is auto-detected.
• No company list? Use a preset. Verified, ready-made lists: AI & ML labs, developer tools & infra, fintech, security, crypto, consumer tech, European startups, remote-first companies. Pick one and run.
• Salary you can filter on. Uses the ATS's structured pay range when the company publishes one, otherwise the first salary range in the description. Hourly and monthly pay are annualized, so minAnnualSalary: 150000 just works.
• Hiring signals per company. Switch outputMode to companies to get one row per company: open jobs, new jobs in the last 7/30 days, top departments, seniority and work-mode mix, salary disclosure rate and medians, top tech stack, latest titles.
• Fresh, not a stale index. Every run reads the company's public job board API directly, so closed roles never show up.
• Cheap and fast. No AI and no browser. $1.00 per 1,000 jobs.
• Built for monitoring. Turn on onlyNew and schedule the Actor to get only postings you haven't seen yet.

Who is it for

• Job seekers, job boards & newsletters — track target companies and filter by salary, level, remote and tech stack.
• Sales, recruiting & VC (hiring signals) — see which companies are growing which teams right now, and how fast.
• Analysts & researchers — compare pay ranges, remote policies and tech stacks across companies.
• AI agents — call it through the Apify MCP server to answer "who is hiring senior Rust engineers remotely?" with live data.

Quick start

1. A preset, filtered — remote senior engineering jobs at AI companies that publish a salary:

{
  "companyPresets": ["ai_ml"],
  "categories": ["software_engineering", "ml_ai"],
  "seniority": ["senior", "staff", "principal"],
  "workModes": ["remote"],
  "requireSalary": true,
  "maxItems": 300
}

2. Your own companies — any mix of ATS:

{
  "companies": ["stripe", "https://jobs.lever.co/spotify", "ashby:openai", "smartrecruiters:Canva", "workable:huggingface"],
  "keywords": ["engineer"],
  "minAnnualSalary": 150000,
  "maxItems": 200
}

3. Hiring signals — one row per fintech company:

{
  "companyPresets": ["fintech"],
  "outputMode": "companies"
}

Supported ATS

ATS	Input examples	Salary field	Work mode field
Greenhouse	stripe, greenhouse:stripe, job-boards.greenhouse.io/figma	pay transparency ranges	some boards
Lever	lever:spotify, jobs.lever.co/spotify	salary range	✓
Ashby	ashby:openai, jobs.ashbyhq.com/ramp	compensation	✓
Workable	workable:huggingface, apply.workable.com/huggingface	from description	remote flag
Recruitee	recruitee:bunq, bunq.recruitee.com	salary range	✓
SmartRecruiters	smartrecruiters:Wise, jobs.smartrecruiters.com/Canva	from description	✓
Personio	personio:acme, acme.jobs.personio.de	from description	from description

Plain names are tried in the order above; when several ATS have a board with that name, the one whose company name matches wins. For speed and certainty, use ats:name.

Company presets

Preset	What's inside
ai_ml	AI labs and AI-first companies (model builders, AI apps, AI infra, robotics)
devtools_infra	Developer tools, databases, cloud & observability
fintech	Payments, banking, spend management, wealth
security	Cloud, identity, application and offensive security
crypto_web3	Exchanges, infrastructure and protocols
consumer_tech	Well-known consumer apps and marketplaces
europe	European scale-ups
remote_first	Companies known for distributed teams

Every board in a preset was checked to exist and have open jobs when the list was built. Combine presets with your own companies — duplicates are removed. A whole preset can return thousands of jobs, so set maxItems or filters.

Input

Field	What it does
companies	Board names, ats:name, careers URLs or domains. Up to 500 per run (presets included).
companyPresets	Ready-made lists (see above).
outputMode	jobs (default, one row per job) or companies (one hiring-signal row per company).
keywords / excludeKeywords	Title (and department/team) word-start match.
departments, locations	Word-start match on department/team and on location/country.
workModes	remote, hybrid, onsite, unspecified.
seniority	intern … executive, unspecified (title first, then the ATS experience level).
categories	software_engineering, data, ml_ai, devops_infra, security, product, design, research, sales_marketing, operations, hardware, other.
employmentTypes	full_time, part_time, contract, internship.
techStack	Any of these technologies (aliases unified: Postgres = PostgreSQL, k8s = Kubernetes).
minAnnualSalary, salaryCurrencies, requireSalary	Salary filters (jobs without a salary are dropped when used).
postedAfter	2026-09-15 or 7 days.
descriptionFormat	text (default), html, both, none.
onlyNew	Return only jobs you haven't received with the same input (jobs mode).
maxItems, maxItemsPerCompany	Cap rows (and cost).

Output

Jobs (outputMode: jobs)

One row per job posting (30 fields):

{
  "job_id": "ashby:openai:3c67f712-697d-48d8-b05c-01be896e61da",
  "ats": "ashby",
  "company_name": "OpenAI",
  "title": "Software Engineer, Scaled Abuse",
  "department": "Applied AI",
  "category": "software_engineering",
  "seniority": "unspecified",
  "employment_type": "full_time",
  "work_mode": "hybrid",
  "location": "San Francisco",
  "country": "United States",
  "posted_at": "2026-06-08T16:15:58+00:00",
  "salary_min": 266000,
  "salary_max": 445000,
  "salary_currency": "USD",
  "salary_period": "year",
  "salary_annual_min": 266000,
  "salary_annual_max": 445000,
  "salary_source": "ats_field",
  "tech_stack": ["Python", "PostgreSQL", "Kafka", "Azure", "Kubernetes", "Terraform"],
  "job_url": "https://jobs.ashbyhq.com/openai/3c67f712-...",
  "apply_url": "https://jobs.ashbyhq.com/openai/3c67f712-.../application",
  "description_text": "ABOUT THE TEAM ..."
}

Companies (outputMode: companies)

One row per job board, summarizing the jobs that pass your filters:

{
  "company_name": "Ramp",
  "ats": "ashby",
  "board_url": "https://jobs.ashbyhq.com/ramp",
  "open_jobs": 160,
  "matched_jobs": 160,
  "new_jobs_7d": 9,
  "new_jobs_30d": 55,
  "top_departments": [{"name": "Sales", "jobs": 62}, {"name": "Engineering", "jobs": 38}, {"name": "People & Talent", "jobs": 14}],
  "seniority": {"unspecified": 91, "manager": 22, "senior": 20, "junior": 7, "lead": 7, "director": 7, "intern": 5},
  "work_modes": {"hybrid": 130, "onsite": 16, "remote": 14},
  "top_locations": [{"name": "New York, NY (HQ)", "jobs": 137}, {"name": "San Francisco, CA", "jobs": 88}],
  "salary_disclosed_pct": 95.6,
  "salary_currency": "USD",
  "salary_annual_median_min": 166160,
  "salary_annual_median_max": 257050,
  "top_tech_stack": [{"name": "Python", "jobs": 30}, {"name": "Salesforce", "jobs": 27}, {"name": "SQL", "jobs": 23}],
  "latest_titles": [{"title": "Product Manager | Growth", "posted_at": "2026-10-06T16:01:26+00:00", "job_url": "https://jobs.ashbyhq.com/ramp/..."}]
}

(Real output from 2026-10-07, shortened.) A SUMMARY record in the run's key-value store lists open/matched counts per board and any boards that were not found or failed.

Integrations

• API & SDKs — run it from Python, JavaScript or plain HTTP and read the dataset as JSON, CSV or Excel.
• Schedules + onlyNew — a daily feed of new postings; add a webhook to push them to Slack, email or your database.
• n8n, Make, Zapier — use the Apify app/node: "Run Actor" → "Get dataset items".
• Clay & spreadsheets — call the run-sync endpoint with a company list and map companies-mode fields into columns.
• AI agents (MCP) — add the Apify MCP server to Claude, Cursor or VS Code and let the agent call this Actor with filters.

Pricing

• Jobs mode: $1.00 per 1,000 jobs returned.
• Companies mode: $0.005 per company summary.
• Plus a tiny start fee. You pay only for rows that match your filters — set maxItems to cap the cost of a run.

How it works and limits

• Reads each company's public job board API (the same data the company's careers page uses). No login, no browser, no personal data.
• Seniority, category, work mode and tech stack are rule-based (title, ATS fields, dictionary match), so they're fast and free but not perfect. unspecified means the posting didn't say.
• Salary from descriptions takes the first salary range found; check salary_source and salary_text. Multi-zone ranges are merged into one min–max in the first listed currency.
• SmartRecruiters lists jobs without descriptions, so descriptions are fetched only for jobs that pass your title/location/date filters — narrow filters make big SmartRecruiters boards much faster.
• Workable limits request rates, so plain names (which may be checked on Workable) are slower than ats:name.
• Workday, iCIMS and Taleo are not supported (no public job board API).

FAQ

How do I find a company's board name? It's the part of the careers URL after the domain: job-boards.greenhouse.io/figma → figma, jobs.lever.co/spotify → spotify, jobs.ashbyhq.com/ramp → ramp, apply.workable.com/huggingface → huggingface, bunq.recruitee.com → bunq, jobs.smartrecruiters.com/Wise → Wise, acme.jobs.personio.de → acme. Or just paste the URL.

A company wasn't found. It may use an ATS that isn't supported, or a different board name. Check SUMMARY → not_found and try the exact careers URL.

Can I get only new jobs every day? Yes: schedule the Actor with onlyNew: true and the same input.

What data does it read? Only the job board endpoints that companies publish openly for their careers pages and for job aggregators. It collects no personal data. Check that your use fits each ATS's and company's terms.

Related

• HN Who is Hiring — AI Structured Jobs: 12+ months of Hacker News job posts with salary, remote regions, visa and tech stack.
• HN Who wants to be hired — AI Structured Candidates: developers looking for work.