Greenhouse & Lever Jobs Scraper: every open job, with salary ranges

Get every open job from any company that hires through Greenhouse or Lever, two of the most widely used applicant tracking systems (ATS). You get the job title, location, department, office, job URL, posting date, the full job description and, where the company publishes it, the salary range, as clean JSON, CSV or Excel. Give it board tokens (such as airbnb or lever:zoox) or job board URLs, and it reads them from each platform's official public job board API. Recruiters, job boards, job aggregators, HR-tech teams and market researchers use it to track who is hiring, for which roles, where and for how much.

What can this Actor do?

• Get every open job from any company's Greenhouse or Lever board, with one API request per company
• Mix both platforms in one run, with the same output fields for every job
• Accept board tokens or URLs: airbnb, https://boards.greenhouse.io/airbnb, https://job-boards.greenhouse.io/airbnb/jobs/123, lever:zoox, https://jobs.lever.co/zoox, and EU-hosted Lever boards (lever-eu:<company> or https://jobs.eu.lever.co/<company>)
• Return salary ranges (minimum, maximum, currency, interval) from both platforms, wherever the company publishes pay ranges, plus employment type and workplace type from Lever boards
• Return the full description as HTML and as plain text, with every department and office
• Filter by title keywords (for example "engineer", "data") and location keywords (for example "Remote", "London")
• Turn descriptions off for a fast, light list of titles, locations and links
• Skip unknown boards and bad responses with a clear log message, and carry on with the rest
• Polite by design: it respects robots.txt and rate limits, and retries with back-off
• No personal data: names, e-mail addresses and phone numbers are never stored
• Export to JSON, CSV, Excel or HTML, or connect through the Apify API, integrations and MCP

What data do you get?

One result per open job. Every job has the same fields; a field a platform does not publish is null.

Field	Description
platform	greenhouse or lever
board_token	The board the job came from, for example airbnb or zoox
company	Company name as shown on a Greenhouse board (Lever's API does not publish it; use board_token)
job_id	The platform's job ID: a number on Greenhouse, an ID string on Lever (stable across runs)
internal_job_id	Greenhouse internal job ID, shared by posts of the same job
requisition_id	The company's own requisition ID, when it sets one (Greenhouse)
title	Job title
location	Location text of the posting, for example Tokyo, Japan or Remote - US
department	First department or team of the job
departments	All departments (Greenhouse), or the department and team (Lever)
office	First office of the job
offices	All offices or locations of the job
absolute_url	Link to the job posting where candidates apply
language	Language code of the posting, for example en (Greenhouse)
updated_at	When the posting was last updated (Greenhouse, ISO 8601 with time zone)
first_published	When the posting was first published (ISO 8601 with time zone)
content	Full job description as HTML
content_text	Full job description as plain text, one paragraph or bullet per line
employment_type	For example Full-time or Permanent (Lever)
workplace_type	onsite, hybrid or remote (Lever)
salary_min, salary_max	Salary range, when the company publishes one (both platforms)
salary_currency	For example USD
salary_interval	per-year-salary, per-month-salary, per-hour-wage and so on, or null when the board does not say
fetched_at	When the Actor read the job (UTC)

With Include full job descriptions off, content and content_text are empty (and, on Greenhouse, the departments and offices too). The Actor does not return the companies' custom application questions or custom metadata fields. When a Greenhouse job lists one pay range per country, the salary fields hold the first one. E-mail addresses and phone numbers that appear in a description are replaced with [removed].

How much does it cost?

You pay per result: $1.60 per 1,000 jobs, plus a small fee per run that Apify sets. A run of 1,000 jobs costs about $1.60, whichever platform they come from. Set a maximum cost per run and the Actor stops when it is reached. Use Maximum results and the keyword filters to pay only for the jobs you need; jobs removed by a filter are not charged.

How to use it

1. Click Try for free.
2. Enter one or more job boards: a Greenhouse board token or URL, or a Lever board as lever:<company> or its jobs.lever.co URL.
3. Click Start and download the results when the run finishes.

Input

• Job boards (boardTokens, required): the companies to read, on Greenhouse or Lever.
• Include full job descriptions (includeContent, default true): descriptions, plus departments and offices on Greenhouse.
• Title keywords (titleKeywords): keep jobs whose title contains any of these words.
• Location keywords (locationKeywords): keep jobs whose location or office contains any of these words.
• Maximum results (maxResults, default 1,000): stop after this many jobs.
• Maximum requests per second (maxRequestsPerSecond, default and maximum 1): polite rate limit.

{
    "boardTokens": ["airbnb", "https://job-boards.greenhouse.io/stripe", "lever:zoox", "https://jobs.lever.co/palantir"],
    "includeContent": true,
    "titleKeywords": ["engineer", "counsel"],
    "locationKeywords": ["California", "Remote"],
    "maxResults": 500
}

Output example

A Lever job with a salary range:

{
    "platform": "lever",
    "board_token": "zoox",
    "company": null,
    "job_id": "e8a190f0-7a89-4c11-a6a0-452ff6234749",
    "internal_job_id": null,
    "requisition_id": null,
    "title": "Administrative Business Partner, Floater",
    "location": "Foster City, CA",
    "department": "Executive Office",
    "departments": ["Executive Office"],
    "office": "Foster City, CA",
    "offices": ["Foster City, CA"],
    "absolute_url": "https://jobs.lever.co/zoox/e8a190f0-7a89-4c11-a6a0-452ff6234749",
    "language": null,
    "updated_at": null,
    "first_published": "2026-10-06T17:27:44+00:00",
    "content": "<div><span style=\"font-size: 12pt;\">Zoox is building the future of transportation. ...",
    "content_text": "Zoox is building the future of transportation. To do that, we’re also building an incredible crew ...",
    "employment_type": "Full-time",
    "workplace_type": "hybrid",
    "salary_min": 123000,
    "salary_max": 168000,
    "salary_currency": "USD",
    "salary_interval": "per-year-salary",
    "fetched_at": "2026-10-26T18:07:24+00:00"
}

A Greenhouse job:

{
    "platform": "greenhouse",
    "board_token": "airbnb",
    "company": "Airbnb",
    "job_id": 7789554,
    "internal_job_id": 3407102,
    "requisition_id": "ONE",
    "title": "Associate Legal Counsel, Japan",
    "location": "Tokyo, Japan",
    "department": "Legal",
    "departments": ["Legal"],
    "office": "Tokyo, Japan",
    "offices": ["Tokyo, Japan"],
    "absolute_url": "https://careers.airbnb.com/positions/7789554?gh_jid=7789554",
    "language": "en",
    "updated_at": "2026-09-29T20:00:54-04:00",
    "first_published": "2026-04-13T04:49:05-04:00",
    "content": "<div class=\"content-intro\"><p><span style=\"...\">Airbnb was born in 2007 when two hosts welcomed three guests ...",
    "content_text": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, ...",
    "employment_type": null,
    "workplace_type": null,
    "salary_min": null,
    "salary_max": null,
    "salary_currency": null,
    "salary_interval": null,
    "fetched_at": "2026-10-25T09:48:00+00:00"
}

Use it through the API or AI agents

Call the Actor from your code with the Apify API, or from an AI agent through Apify's MCP server. A typical automated use is a daily scheduled run over a list of companies on both platforms that feeds new job_ids into a job board, a CRM, a salary benchmark or a hiring-signals dashboard.

FAQ

Is it legal to use this data? The Actor reads only the platforms' public job board APIs, the same data shown on each company's public job board:

• Greenhouse: the Job Board API (boards-api.greenhouse.io). Greenhouse's documentation says this data is publicly available and its GET endpoints need no authentication. Greenhouse's legal terms are at greenhouse.com/legal; they do not publish separate terms for the Job Board API.
• Lever: the Postings API (api.lever.co). Lever's documentation says published postings "are publicly viewable" and "may be scraped by third parties". Its robots.txt allows crawling with a 1-second delay, which the Actor keeps to.

The Actor only reads open job postings, needs no login, checks each API's robots.txt before each request, keeps to a polite request rate, and stores no personal data. Check that your own use of the job postings suits your purpose and jurisdiction.

Where do I find a company's board? Open the company's careers page and click a job.

• If the link goes to boards.greenhouse.io/<token>/... or job-boards.greenhouse.io/<token>/..., paste the URL or the <token>. Some companies show Greenhouse jobs on their own site with a gh_jid= link; their token is usually the company name.
• If it goes to jobs.lever.co/<company>/..., paste the URL or enter lever:<company>.

A board returned no jobs. Either the company has no open jobs or the token is wrong; the run log says "No Greenhouse board called ..." or "No Lever board called ..." for an unknown board. Only companies that use Greenhouse or Lever are covered.

Why is company empty for Lever jobs? Lever's public API does not include the company's display name. Every job carries its board_token (for example zoox), which identifies the company.

How fresh is the data? Every run fetches it live from the source.

Something is not working. Open an issue on the Actor's Issues tab; it is monitored daily.