Greenhouse, Lever & Ashby Jobs Scraper – Remote & Country

Greenhouse, Lever & Ashby jobs scraper that pulls every public job posting from company career sites into clean, unified JSON. Filter by title keywords, country (ISO code or name) and true remote (hybrid is not counted as remote). Salaries are included when the ATS publishes them. No login, no cookies, no proxies: only the official public job-board APIs.

What does it do?

• Takes lists of company board names for Greenhouse (boards.greenhouse.io/<token>), Lever (jobs.lever.co/<slug>) and Ashby (jobs.ashbyhq.com/<name>).
• Downloads all published jobs from each board in a single request.
• Normalizes them to one schema across the three ATS, including country / countries (ISO 3166-1 alpha-2), workplaceType, isRemote and salary.
• Applies your filters and saves the result to the dataset (JSON, CSV, Excel or API).

Use cases

• Job boards and niche aggregators: feed a remote-only or country-specific job board from hundreds of startups.
• Recruiting and sourcing: track new openings at target companies every day.
• Sales intelligence and hiring signals: companies hiring for "Data Engineer" or "Security" are buying tools; turn openings into leads at the company level.
• Market and salary research: compare roles, locations and published salary ranges.
• Job alerts and AI agents: schedule the Actor and send new jobs to Slack, email or your LLM pipeline.

Input

Field	Type	Description
greenhouse	string[]	Greenhouse board tokens, e.g. stripe, gitlab, airbnb
lever	string[]	Lever company slugs, e.g. spotify, palantir
ashby	string[]	Ashby board names, e.g. ramp, notion, openai
keywords	string[]	Keep jobs whose title contains any keyword
remote	any / true / false	Remote only, exclude remote, or don't care
countries	string[]	ISO codes or names: US, GB, Germany…
maxJobsPerCompany	integer	0 = no limit
includeDescription	boolean	Adds plain-text descriptionText

Example input (real):

{
    "greenhouse": [
        "gitlab"
    ],
    "lever": [
        "spotify"
    ],
    "ashby": [
        "ramp"
    ],
    "keywords": [
        "engineer"
    ],
    "remote": "true",
    "countries": [
        "US",
        "Germany"
    ],
    "maxJobsPerCompany": 2,
    "includeDescription": false
}

Output

One item per job. Real output for the input above (first 2 of 5 items, run on 26 Oct 2026):

[
  {
    "source": "greenhouse",
    "company": "GitLab",
    "companyToken": "gitlab",
    "jobId": "8771512002",
    "title": "Backend Engineer, Knowledge Graph (Rust)",
    "location": "Remote, Canada; Remote, United States",
    "country": "US",
    "countries": [
      "US",
      "CA"
    ],
    "department": "Data Engineering",
    "team": null,
    "employmentType": null,
    "workplaceType": "remote",
    "isRemote": true,
    "postedAt": "2026-10-23T18:47:07-04:00",
    "updatedAt": "2026-10-23T18:47:07-04:00",
    "url": "https://job-boards.greenhouse.io/gitlab/jobs/8771512002",
    "applyUrl": "https://job-boards.greenhouse.io/gitlab/jobs/8771512002",
    "salary": null,
    "scrapedAt": "2026-10-26T11:06:59.910830+00:00"
  },
  {
    "source": "ashby",
    "company": "ramp",
    "companyToken": "ramp",
    "jobId": "d1183b00-6590-4fe4-a585-28d84e578fe3",
    "title": "Software Engineer, Security, Stablecoin",
    "location": "New York, NY (HQ)",
    "country": "US",
    "countries": [
      "US"
    ],
    "department": "Engineering",
    "team": "Backend",
    "employmentType": "FullTime",
    "workplaceType": "remote",
    "isRemote": true,
    "postedAt": "2026-05-13T20:28:09.574+00:00",
    "updatedAt": null,
    "url": "https://jobs.ashbyhq.com/ramp/d1183b00-6590-4fe4-a585-28d84e578fe3",
    "applyUrl": "https://jobs.ashbyhq.com/ramp/d1183b00-6590-4fe4-a585-28d84e578fe3/application",
    "salary": "$189K - $330K",
    "scrapedAt": "2026-10-26T11:06:59.668344+00:00"
  }
]

Key fields:

• country: primary ISO country. When you filter by country and a job lists several, the country you asked for comes first.
• countries: every country detected for the job.
• workplaceType: always lowercase remote, hybrid, onsite or null, the same across all three ATS.
• isRemote: true only for fully remote jobs.

In Apify Console the dataset has three views: Jobs (key fields), Remote & location and All fields. The full field list with examples is in the dataset schema.

How accurate are the country and remote filters?

Greenhouse only gives free-text locations ("SF, SEA, CHI, NYC, remote", "Remote - Ontario, Canada", "Hybrid"). The Actor parses them with a location parser that handles:

• ISO codes and country names;
• 100+ tech-hub cities;
• US states and Canadian provinces;
• remote patterns ("Remote - US", "Anywhere", "Distributed").

It also reads the board's offices and custom metadata fields (for example "Workplace Type"). On a hand-labeled sample of 56 real Greenhouse jobs from 8 companies, the previous version returned no country for Greenhouse jobs and its country filter matched only 55% of the true countries (recall). The new parser assigns the correct primary country to 56 of 56 jobs, with 100% precision and 98% recall. Remote accuracy went from 89% to 100%. On a second check with 30 jobs from 6 other companies, the parser was also correct every time; one of those cases is ambiguous. For Ashby, we use workplaceType because Ashby's own isRemote flag is also true for hybrid roles.

FAQ

Do I need an account or API key for Greenhouse, Lever or Ashby? No. The Actor uses each ATS's public job-board API, which serves only published jobs and needs no authentication.

How do I find a company's board name? Open its careers page and look at the job URL: boards.greenhouse.io/**stripe**, jobs.lever.co/**spotify**, jobs.ashbyhq.com/**ramp**.

Is "remote" really remote? Yes. isRemote is true only for fully remote roles. Hybrid roles get workplaceType: "hybrid" and isRemote: false.

Can I filter by region like EMEA or LATAM? Region names are matched as text in the location (e.g. "Remote - EMEA"). Country codes are matched against the parsed countries.

Does it include salaries? Yes, when the company publishes them:

• Ashby: compensation summary.
• Lever: salaryRange.
• Greenhouse: usually inside the description, so turn on includeDescription.

How fast is it? In a local test, 18 companies (about 3,000 jobs) took around 20 seconds. Each board is a single API request.

Is it polite to the ATS servers? Yes. Each board is fetched once per run, with retries and backoff on errors. Ashby requests are spaced at least 1 second apart, as its robots.txt asks (Crawl-delay: 1), even when you raise maxConcurrency.

What permissions does the Actor need? Limited permissions only. It reads public URLs and writes to its own default dataset and key-value store. It never touches other data in your Apify account.

What if a company doesn't exist or moved ATS? That board is skipped and the error is listed in the RUN_SUMMARY key-value record. The run doesn't fail.

Is it legal? It reads only data that the ATS vendors publish openly for job seekers. Lever's docs state published postings "may be scraped by third parties". No personal data is collected. You are responsible for how you use the data, for example GDPR if you contact people.

Can I schedule it? Yes. Use Apify Schedules plus integrations (webhooks, Slack, Google Sheets, Make, Zapier, n8n).

Can AI agents use it? Yes. Call it through the Apify API, or from Claude, Cursor or any MCP client via the Apify MCP server.

Not affiliated

This Actor is not affiliated with, or endorsed by, Greenhouse Software, Lever or Ashby. We use the names only to describe compatibility.