Lever & Greenhouse Jobs Scraper (Company Career Pages) avatar

Lever & Greenhouse Jobs Scraper (Company Career Pages)

Pricing

from $1.00 / 1,000 job postings

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Lever & Greenhouse Jobs Scraper (Company Career Pages)

Lever & Greenhouse Jobs Scraper (Company Career Pages)

Get all open jobs from company career pages hosted on Lever and Greenhouse, in one clean schema: title, location, department, workplace type, salary range, posting dates, apply URL and description. Uses the public job board APIs. No login, no proxy, no browser.

Pricing

from $1.00 / 1,000 job postings

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Developer

吉月 六

吉月 六

Maintained by Community

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Bookmarked

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Total users

1

Monthly active users

a day ago

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Get all open jobs from company career pages hosted on Lever and Greenhouse in one run and one clean schema. Paste career page URLs (or company IDs) for as many companies as you like. The Actor reads the platforms' public job board APIs, so it needs no login, no proxy and no browser. Runs are fast, cheap and stable.

Unofficial tool. Not affiliated with, endorsed by or sponsored by Lever, Inc. or Greenhouse Software, Inc. "Lever" and "Greenhouse" are trademarks of their respective owners.

What you get

One row per job (type = job), the same fields for both platforms:

FieldExample
platform, companylever, leverdemo
titleCustomer Success Manager
location, countryAtlanta, Georgia, US
department, teamCustomer Success
employmentType, workplaceTypeRegular Full Time, hybrid
salaryMin, salaryMax, salaryCurrency, salaryInterval85000, 175000, USD, per-year-salary (when published)
url, applyUrljob page and application link
publishedAt, updatedAtISO 8601 dates
descriptionText (+ optional descriptionHtml)job description with emails and phone numbers removed

Rows of type error explain a company that could not be fetched (for example, a wrong board name).

Why this Actor

  • Lever and Greenhouse in one schema. Mix both platforms in one input list.
  • Paste any career page URL. jobs.lever.co/acme, boards.greenhouse.io/acme, job-boards.greenhouse.io/acme, embed links, or simply lever:acme / greenhouse:acme.
  • Filters. Title keywords, location, department, and postedSince for daily "new jobs" monitoring.
  • Salary ranges when the company publishes them.
  • Cheap. Pay only for job rows saved to your dataset.

Input example

{
"companies": [
"https://jobs.lever.co/leverdemo",
"greenhouse:airbnb",
"https://job-boards.greenhouse.io/acme"
],
"titleKeywords": ["engineer", "data"],
"locations": ["Remote", "London"],
"postedSince": "2026-10-01",
"includeDescription": true,
"descriptionHtml": false,
"maxJobsPerCompany": 0
}

Pricing

Pay per event:

EventPrice
Job row$0.001 ($1 per 1,000 jobs)
Company board scanned$0.0005 per company that was found and read ($0.05 per 100 companies)
Actor start (Apify standard event)$0.00005 per run

Example: 100 companies with keyword filters that keep 300 jobs cost about $0.30 + $0.05 = $0.35.

Jobs removed by your filters and error rows are free. Companies that could not be found or fetched (error rows) are not charged. Set a maximum cost per run in the run options and the Actor stops cleanly when it is reached.

Limits and notes

  • Only published, public jobs are returned. Internal or unlisted jobs are not available.
  • Greenhouse EU-hosted boards are not supported yet.
  • Requests to each platform are sent one at a time with at least 1 second between them, with retries and backoff.
  • No personal data fields are collected (no recruiter or hiring manager fields). Email addresses and phone numbers are removed from descriptions.

FAQ

Where do I find the company ID? It is the first part of the career page path: https://jobs.lever.co/acme → acme, https://boards.greenhouse.io/acme → acme. You can paste the full URL.

What if I only know the company name? Try the bare name (e.g. airbnb). The Actor checks Greenhouse first, then Lever. If it is not found, an error row tells you.

Is it legal? The Actor only reads job postings that companies publish through Lever's and Greenhouse's public job board APIs. Descriptions may still mention people by name; you are responsible for how you use the data (e.g. GDPR or other privacy rules in your jurisdiction).