Lever Jobs Scraper: Any jobs.lever.co Career Page

Export every open job from Lever career pages (jobs.lever.co; the EU site jobs.eu.lever.co works when you paste its URL) as clean, structured data: full descriptions, all locations, teams, employment type, workplace type, posting dates and apply links, plus salary ranges (from Lever's own field or parsed from the text), seniority and job function. Many companies in one run. No browser, no proxy, no login.

Why this one

• Name, careers page or page URL. Type Palantir, paste a company careers page or https://jobs.lever.co/spotify: the Lever page is found for you. Company names are looked up on the standard jobs.lever.co site; for EU-hosted pages paste the jobs.eu.lever.co URL.
• Salary where it exists. Lever's salary range is returned as salaryMin, salaryMax, salaryCurrency, salaryPeriod; otherwise ranges in the description are parsed (salarySource tells you which).
• Department and team, all locations, real dates. Lever's categories are kept as separate fields.
• Filters: keywords (in the title, optionally in the description too), exclude words, location / country, department, remote / hybrid / on-site, seniority, job function, minimum yearly salary.
• Last 24 hours / new jobs only. Filter by publish date, or switch on Only new jobs since last run and schedule it daily: each run returns just the jobs you haven't seen.
• Transparent: a COMPANIES report shows every input, the board it resolved to, open jobs and matched jobs; a HEALTH report flags format changes instead of silently returning nothing.
• Cost control: maxItems is a hard cap, and maxItemsPerCompany stops one huge board from eating your whole run. Only jobs that pass your filters are charged.
• Polite by design: Lever's robots.txt asks for a 1-second crawl delay and the scraper honors it. Runs over many companies take a little longer for that reason.

Input

{
  "companies": ["https://jobs.lever.co/spotify", "Palantir"],
  "keywords": ["engineer"],
  "locations": ["Remote", "US"],
  "postedWithin": "7d",
  "minYearlySalary": 100000,
  "salaryCurrency": "USD",
  "onlyNewSinceLastRun": true,
  "maxItems": 1000,
  "maxItemsPerCompany": 200
}

Where do I find the URL? Open the company's job page; if the address starts with jobs.lever.co/ (or jobs.eu.lever.co/), copy it. Or just type the company name.

Output

{
  "id": "lever:spotify:4310f31c-90e1-4e8d-bdcf-dce39c145b8c",
  "title": "Associate, Audiobook Licensing & Author Partnerships",
  "department": "Operations and Business Support",
  "team": "Audio Books & Gated Content",
  "seniority": "mid",
  "jobFunction": "sales",
  "locations": ["New York, NY"],
  "country": "US",
  "workplaceType": "remote",
  "employmentType": "Permanent",
  "salaryMin": 74000, "salaryMax": 106000, "salaryCurrency": "USD", "salaryPeriod": "yearly",
  "salarySource": "description",
  "publishedAt": "2026-07-09T14:55:35Z",
  "url": "https://jobs.lever.co/spotify/4310f31c-90e1-4e8d-bdcf-dce39c145b8c",
  "applyUrl": "https://jobs.lever.co/spotify/4310f31c-90e1-4e8d-bdcf-dce39c145b8c/apply",
  "descriptionText": "..."
}

Export as JSON, CSV, Excel or via API.

Pricing

Pay per result: $1.50 per 1,000 jobs ($0.0015 each), full description and enrichment included, plus $0.002 per run start. Only jobs that pass your filters are charged.

Need other ATS too?

The same engine also covers Workday, Workable, Teamtailor, BambooHR, Recruitee, Personio and Breezy, with automatic ATS detection from company names: see Career Page Jobs Scraper by datasmithlab.

Notes

• Only public job listings that companies publish are collected. No personal data and no recruiter contact details.
• Seniority, job function and description salaries are rule-based and can occasionally be wrong; the original title and text are always included.
• Not affiliated with Lever. Use the data in line with applicable laws and each site's terms.
• Found a bug or need a field? Open an issue in the Issues tab.