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Lever Jobs Scraper

Pricing

from $1.00 / 1,000 jobs

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Lever Jobs Scraper

Lever Jobs Scraper

Scrape all open jobs from any Lever job board: title, team, location, remote, job type, country, posting date, salary when the company lists it, and description. Official public feed: fast, cheap, no login. Only-new-jobs mode for monitoring.

Pricing

from $1.00 / 1,000 jobs

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StrataFetch

StrataFetch

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Scrape all open jobs from any Lever job board: title, team, location, remote, job type, country, posting date, salary when the company lists it, and description. Official public feed: fast, cheap, no login. Only-new-jobs mode for monitoring.

Get every open job from Lever job boards as clean, structured data. It reads the public job-board feed each company publishes for job seekers, so runs are fast, cheap and reliable: no browser, no proxies, no login.

What you get

Exactly what the platform publishes, nothing invented:

FieldAvailable
Salary rangeSometimes (if the company adds it)
Department / teamYes
Remote flagYes
Job typeYes
CountryYes
Posting dateYes
Full descriptionYes

What you can use it for

  • Job aggregators and niche job boards: keep your listings fresh from hundreds of companies.
  • Sales and recruiting signals: see which companies are hiring for which roles, and where.
  • Market and salary research: compare roles, locations and published pay ranges.
  • AI agents and automations: one call returns normalized jobs in the same format for every company.

Input

FieldWhat to enter
Companiesthe part after jobs.lever.co/ (e.g. palantir), or paste the board URL (EU boards on jobs.eu.lever.co work too). Add as many as you like, one per line.
Title keywordsOptional. Only jobs whose title contains one of these words.
Location containsOptional, e.g. London, Germany, Remote.
Remote jobs onlyOptional.
Posted within (days)Optional. Only recent jobs.
Only new jobsOptional. Later runs return only jobs you haven't received before, and you only pay for those.
Include full job descriptionOptional. Adds the job text.
Max jobs per companyOptional cap.

Example input:

{
"companies": [
"palantir"
],
"titleKeywords": [
"engineer"
],
"postedWithinDays": 30
}

Output

One row per job, the same columns for every company and platform. Export as JSON, CSV, Excel, or use the API. A real example:

{
"platform": "lever",
"company": "Palantir Technologies",
"job_id": "6ed76ce8-4156-4b60-b120-403538bd66cd",
"title": "Administrative Business Partner",
"department": null,
"team": "Administrative",
"location": "Singapore, Singapore",
"locations": [
"Singapore, Singapore"
],
"country": "SG",
"remote": false,
"workplace_type": "hybrid",
"employment_type": "Full-time",
"posted_at": "2026-08-11T17:38:11.368000+00:00",
"updated_at": null,
"url": "https://jobs.lever.co/palantir/6ed76ce8-4156-4b60-b120-403538bd66cd",
"apply_url": "https://jobs.lever.co/palantir/6ed76ce8-4156-4b60-b120-403538bd66cd/apply",
"salary_min": null,
"salary_max": null,
"salary_currency": null,
"salary_period": null,
"salary_text": null,
"description": "A World-Changing Company\n \nPalantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more…"
}

Pricing

You pay per job returned, nothing for companies with no matching jobs. There are no proxy or browser costs, so large runs stay cheap.

Tips

  • Monitor new jobs: schedule a daily run with Only new jobs on. The first run returns everything open; after that you get (and pay for) only new postings.
  • A company isn't found? It probably uses a different hiring platform. The run log lists companies with no public board, and the rest of the run continues.

FAQ

Is this allowed? The tool only reads job postings companies publish openly for job seekers, through the hiring platform's public job-board feed. It does not log in and does not collect personal data.

How fresh is the data? Live: each run reads the board at that moment.

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