Lever Jobs Scraper

Search jobs on Lever career sites — from the companies you choose or from all 301 companies in our built-in Lever directory at once. Filter by job title, location, remote and posting date and get clean job data: title, company, department, location, remote, employment type, salary (when published), posting date, full description and apply link. Straight from the companies' own career sites, always fresh.

• ✅ Search all companies — e.g. every "data engineer" job in "Berlin" across 301 companies using Lever
• ✅ Or your own list — paste career page URLs or company names
• ✅ Fresh data — read live from the companies' public Lever job boards on every run, no stale database
• ✅ Monitoring mode — schedule daily runs and get only new postings
• ✅ Clean, unified fields — the same structure as our other job scrapers
• ✅ $1.40 per 1,000 jobs, platform usage included

What data do you get?

Field	Example
title, company, department, team	Senior Data Engineer · Acme · Engineering
location, locations	the location text as the company wrote it, e.g. "Menlo Park, CA; New York, NY" (all locations as a list)
city, region, countryCode, country	parsed and standardized: Menlo Park · California · US · United States — filter and group jobs by country or state easily
workplaceType, isRemote	remote / hybrid / onsite
employmentType	full-time, part-time, contract, internship
salaryMin, salaryMax, salaryCurrency, salaryInterval, salaryText	150000 · 200000 · USD · year — from the job board's pay range, or read from the job description ("The base salary range for this role is $150,000 - $200,000") when the company only writes it there
postedAt, updatedAt	2026-10-05
description, descriptionHtml	full job description (plain text and optional HTML)
url, applyUrl, careerPage, jobId, companySlug	links to the posting and the career site

How to use

Search all companies: leave Companies empty, add title keywords (and optionally locations), set Max jobs in total, click Start.

Specific companies: add career page URLs or short names (e.g. spotify) to Companies.

Example input

{
  "titleKeywords": ["data engineer", "analytics engineer"],
  "locationKeywords": ["berlin", "germany", "remote"],
  "postedWithinDays": 14,
  "maxJobs": 300
}

Example output (real result, shortened)

{
  "title": "Machine Learning Engineer",
  "company": "Kitware",
  "department": "Technical",
  "location": "Arlington, Virginia",
  "workplaceType": "onsite",
  "isRemote": false,
  "employmentType": "FULL_TIME",
  "salaryMin": 110000,
  "salaryMax": 200000,
  "salaryCurrency": "USD",
  "salaryInterval": "per-year-salary",
  "postedAt": "2026-02-09T12:17:09Z",
  "url": "https://jobs.lever.co/kitware/131535ab-7059-448c-bf96-0b2137008f57",
  "careerPage": "https://jobs.lever.co/kitware",
  "description": "Team Description: \nKitware is a leader in advanced research and algorithm development in artificial intelligence (AI), s…"
}

Pricing

Pay per result: $1.40 per 1,000 jobs, plus a tiny start fee of $0.00005 per run. You pay only for jobs that match your filters and are saved — searching thousands of companies costs nothing extra. Platform usage (compute and proxies) is included.

Example	Cost
300 matching jobs from all companies	$0.42
daily monitoring, ~50 new jobs per day	~$2.10 per month

Monitoring new jobs

Switch on Only new jobs and schedule the Actor (e.g. every morning). Each run returns only postings that were not returned before — perfect for job alerts, recruiting pipelines and job boards.

Use it via API

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("dataspace/lever-jobs-scraper").call(run_input={
    "titleKeywords": ["product manager"],
    "remoteOnly": True,
    "maxJobs": 200,
})
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["company"], "|", job["title"], "|", job["location"], "|", job["url"])

Results also flow into Google Sheets, Airtable, Make, Zapier, n8n, webhooks or your AI agent through the Apify MCP server.

About the company directory

The directory lists companies whose public Lever job boards appear in public web archives (Common Crawl). It is refreshed regularly. Missing a company? Add its career page to Companies, or open an issue and we will add it.

FAQ

Is it legal? The Actor reads job postings that companies publish on their public Lever job boards for job seekers — without logging in and without bypassing any protection. It does not collect recruiter names or e-mail addresses. You are responsible for using the data in line with applicable laws and the terms of the career sites.

Why are some fields empty? Companies fill in different fields; salary, for example, is only present when the company publishes it.

Need other ATS platforms too? Use our Career Site Jobs Scraper — Greenhouse, Lever, Ashby, Workday, SmartRecruiters, Workable, Recruitee, Personio and Breezy in one run.

More scrapers by dataspace

• Greenhouse Jobs Scraper — all Greenhouse career sites
• Ashby Jobs Scraper — all Ashby career sites
• Workday Jobs Scraper — all Workday career sites
• Career Site Jobs Scraper — 9 ATS platforms in one run
• Google Maps Scraper — local businesses with phones and websites

Like it? If this Actor saves you time, please leave a review on the Reviews tab — it helps others find it. Found a problem? Open an issue and it will be fixed quickly.

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by or sponsored by Lever, Inc. or Employ Inc. or any of the companies whose jobs it returns. Lever is a trademark of its owner and is mentioned only to describe the publicly available data source. The Actor collects only job postings that companies publish publicly for job seekers — without logging in, without solving CAPTCHAs and without collecting recruiter names or e-mail addresses. You are responsible for making sure that your use of the data complies with applicable laws (including data protection laws such as GDPR) and with the terms of the career sites.

City, region and country names are standardized with GeoNames data, licensed under CC BY 4.0.