Lever Jobs Scraper: Postings API for Any Lever Board avatar

Lever Jobs Scraper: Postings API for Any Lever Board

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from $1.40 / 1,000 job rows

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Lever Jobs Scraper: Postings API for Any Lever Board

Lever Jobs Scraper: Postings API for Any Lever Board

Every open job from any Lever job board (jobs.lever.co, EU boards too), or search 234 Lever career sites by job title. Structured salary, workplace type, seniority, skills and visa sponsorship. Track new and removed jobs. Pay per job.

Pricing

from $1.40 / 1,000 job rows

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Navista Multani

Navista Multani

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6 days ago

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A Lever job board API for any company: get every open job from a company's Lever job board (jobs.lever.co, EU boards too) in one clean format, or search 236 Lever career sites by job title. Structured salary, workplace type, seniority, skills and visa sponsorship on every row, and new, changed and removed jobs on a schedule.

This Actor reads Lever boards only. To mix platforms in one run (Greenhouse, Lever, Workday, Ashby, Workable and 8 more), use Career Site Jobs API (stippled_journey/ats-jobs).

Lever job board API: what you can use it for

  • Read whole Lever boards in one format. Paste the jobs.lever.co addresses of the companies you follow and get every open job, with the company name filled in.
  • Monitor careers pages. Run the same list daily and get only new, changed and removed jobs.
  • Filter on what Lever states. Lever has its own remote, hybrid and on-site field and a salary-range field, so workplace_type and salary come straight from the employer.
  • Filter on seniority, years of experience, skills and visa sponsorship without reading descriptions: each is a column on every row.
  • Feed a job board, newsletter or AI agent. Every row stands alone, with the employer's own apply link.

Lever job posting API: sample output

One real row (spotify on Lever, read 2026-10-27, company from the board page 2026-10-28; description shortened):

{
"id": "lever:spotify:22a796f2-2bfd-4f44-aab3-a0a20a7783fc",
"source": "lever",
"board": "spotify",
"company": "Spotify",
"title": "Principal Product Manager - TV & Desktop",
"department": "Product",
"team": "Experience",
"category": null,
"employment_type": "full_time",
"workplace_type": "hybrid",
"location": "London",
"locations": [
"London",
"Stockholm"
],
"country": "GB",
"salary": null,
"salary_text": null,
"seniority": "lead",
"experience_years_min": null,
"visa_sponsorship": null,
"skills": [
"UX research"
],
"posted_at": "2026-10-23T13:49:15.067000Z",
"updated_at": null,
"url": "https://jobs.lever.co/spotify/22a796f2-2bfd-4f44-aab3-a0a20a7783fc",
"apply_url": "https://jobs.lever.co/spotify/22a796f2-2bfd-4f44-aab3-a0a20a7783fc/apply",
"description_text": "We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partn ...",
"content_hash": "9c2e96f956e9ad95",
"scraped_at": "2026-10-27T16:30:50.015468Z"
}

What each row holds:

  • Job: title, company (see below), department, team, employment_type (from Lever's commitment), url, apply_url, posted_at
  • Place: location, locations (all of the job's locations), country (two-letter code, as Lever gives it), workplace_type (remote, hybrid, onsite from Lever's own workplace field)
  • Pay: salary as {min, max, currency, period, source} from Lever's salary-range field when the employer publishes one (source: "structured")
  • Read from the posting by fixed rules, on every row:
    • seniority: intern, entry, mid, senior, lead, manager, director or executive, from the title
    • experience_years_min: the years of experience the description asks for ("5+ years" gives 5)
    • visa_sponsorship: true if the posting says it sponsors visas, false if it says it does not, null if it says neither
    • skills: tools and skills named in the posting (Python, AWS, Salesforce, SQL, Figma and about 480 more)
  • Text: description_text (plain text, email addresses and phone numbers removed), optionally description_html
  • Tracking: stable id, source, board, content_hash, scraped_at, and in change mode change (new, changed, removed) and removed_at

Lever's postings feed has no company name, so company is read from the board's public page title (jobs.lever.co/spotify gives "Spotify"). category and updated_at stay null.

The OUTPUT record summarizes the run: boards loaded, not found or failed, jobs found and returned. A board that does not exist does not fail the run; a run where no board loads does. The dataset has three views: Jobs, Seniority, skills and visa, and Changes.

How to find a Lever board

Open the company's careers page and click any job. Lever boards live at jobs.lever.co/<slug>, and the slug is the first part of the path:

You seeBoardShort form
https://jobs.lever.co/spotifySpotifylever:spotify
https://jobs.lever.co/palantir/<id>Palantir (any job page works)lever:palantir
https://jobs.eu.lever.co/<slug>an EU-hosted boardpaste the URL

EU boards are read from Lever's EU instance only when you paste their jobs.eu.lever.co URL; the short form always means the main instance. A careers page on the company's own domain often links each job to jobs.lever.co/<slug>/...: use that.

Pricing

Pay per job row returned, $2.00 per 1,000 jobs. No start fee and no charge for jobs your filters drop. A removed-job row in change mode counts as one row. The run stops cleanly at your spending limit.

  • Test run, 20 jobs: $0.04.
  • Palantir's whole board (306 open jobs on 2026-10-27): $0.61.
  • Directory search for one job title, 200 jobs: $0.40.
  • Monitoring 25 boards daily: a first full run of about 2,500 jobs costs $5.00; after that a daily change-mode run with about 50 new, changed or removed jobs costs about $0.10, about $3 a month.

Lever jobs search: input examples and settings

Search Lever career sites by title and location

{
"keywords": [
"product manager"
],
"workplaceTypes": [
"remote"
],
"maxJobs": 100
}

With no boards, the run searches the built-in directory of Lever boards live, starting with the boards most likely to match (those whose titles and locations contained your words when the directory was built, largest first). It stops at maxJobs matches (500 when maxJobs is 0) or when searchTimeLimitSecs (default 150) runs out. At the time limit, boards still being read are cut off and the jobs from boards already read are returned, so the run ends close to the limit; its status says how many boards it searched and how many were cut off. The Lever directory is small, so a search over it finishes quickly; most Lever work is listing the boards you care about.

Read the Lever boards you choose, in full

{
"boards": [
"https://jobs.lever.co/spotify",
"https://jobs.lever.co/palantir",
"lever:shieldai"
],
"workplaceTypes": [
"remote"
]
}

All input fields

FieldWhat it does
boardsLever career-site URLs or short forms (see How to find a Lever board). Empty: search the directory.
keywordsTitle words to look for (any of them). Without boards, these are the directory search.
locationsKeep jobs whose location or country contains any of these, for example London, Remote, United States.
maxJobsStop after this many jobs, newest first. 0: no limit with boards, 500 for a directory search.
workplaceTypesremote, hybrid, onsite. Jobs whose posting does not say are dropped while this is set.
seniorityKeep these levels: intern, entry, mid, senior, lead, manager, director, executive. Titles with no level are dropped while this is set.
postedWithinDaysKeep jobs first published within this many days.
visaSponsorshipKeep only jobs whose posting says it sponsors visas.
requireSalaryKeep only jobs that publish pay.
keywordsInDescriptionAlso match keywords in descriptions. Broader and noisier.
onlyChangesChange mode (see below).
stateNameOptional name for a separate change history with the same input.
includeDescriptionPlain-text description (on by default).
includeHtmlOriginal description HTML (off by default).
maxJobsPerBoardAt most this many jobs per board, newest first.
searchMaxBoardsDirectory search only: at most this many boards, largest first.
searchTimeLimitSecsDirectory search only: the time limit in seconds (default 150); see above.
minRowsFail the run when it returns fewer rows than this, so a scheduled run that comes back short triggers your alerts.

Track new and removed Lever jobs on a schedule

Turn on onlyChanges and run the same input on a schedule. The first run returns every job as change: "new" and remembers them; each later run returns only:

  • new: jobs that appeared since the last run,
  • changed: jobs whose title, team, location, workplace type, salary, description or apply link changed,
  • removed: jobs that are gone (filled or taken down), as {"id", "source", "board", "change": "removed", "removed_at"}.

A board that fails to load is skipped for that run; its jobs are not reported as removed.

Example: watch two Lever boards every morning.

  1. Save this input as a task:

    {
    "boards": [
    "https://jobs.lever.co/spotify",
    "https://jobs.lever.co/palantir"
    ],
    "onlyChanges": true,
    "minRows": 0
    }
  2. In Apify Console, create a schedule (for example daily at 07:00, cron 0 7 * * *) and add the task to it.

  3. Read each run's dataset, or connect a webhook or integration to send the rows on.

The change history is kept per input (boards plus filters). Use stateName to keep two separate histories for the same input.

Other platforms and ready-made examples

This Actor accepts Lever boards only and says so if you paste another platform's URL. The same code, fields and price cover 13 platforms in Career Site Jobs API (stippled_journey/ats-jobs): Greenhouse, Lever, Ashby, Workday, Workable, JazzHR, Recruitee, Personio, Teamtailor, Gem, Pinpoint, Join and Paylocity, with a keyword search across all of their directories in one run. Use it when your companies are spread over several platforms; its page also has ready-made example searches (software engineers in the US, remote data engineers, jobs with salary ranges and more).

FAQ

Is there an official Lever API for job postings (jobs.lever.co), and how is this different? Yes. Lever publishes a public Postings API (api.lever.co/v0/postings/<company>) that returns one company's published jobs, and this Actor reads it. On top of it you get a search across many Lever companies by title, the company name (the feed has none), the seniority, years, visa and skills fields, rows in the same format as other platforms, and change tracking between runs. Lever's other API, for employers' own hiring data, needs the employer's key and is not used.

Where does company come from? Lever's postings feed does not include the company name, so it is read from the board's public page (jobs.lever.co/<slug>, whose title is the company's name). If that page gives nothing, the directory's name is used, else the slug made readable (shield-ai gives "Shield Ai"). board always holds the slug.

Is workplace_type reliable on Lever? It comes from the employer's own remote, hybrid or on-site setting in Lever; when that is not set, only remote or hybrid written in the location is used. It is never guessed as on-site.

How fresh is the directory? It lists the Lever boards found in Common Crawl's public web index and public job lists on GitHub, each checked to have open jobs when it was built (2026-10-28; about 22,200 open jobs then). The jobs themselves are always read live. A company not in it can be read by listing its board. Lever boards with 1,000 or more open jobs (two when it was built) are left out of a search (one such feed alone needs hundreds of MB); list them to read them.

How are seniority, years, visa and skills decided? By fixed, published word rules, not an AI model, so the same posting always gives the same answer and a field stays empty rather than guessed. seniority comes from title words ("Senior", "Staff", "Head of", "VP"); experience_years_min is the first number of years the description ties to experience; visa_sponsorship is set only by a sentence that ties sponsorship to a visa or work authorization; skills match whole words from a fixed list of 486 tools and skills. The rules read English best.

Can I use it from Python or an AI agent? Yes, through the Apify API (with the official Python or JavaScript client), the Apify MCP server, or any Apify integration such as Make, Zapier or n8n.

Does it return personal data? No. Email addresses and phone numbers are removed from descriptions, and recruiter or hiring-manager names are never returned.

Data sources and terms

Every job is read from the public job feed or career-site API that Lever publishes for the company's own careers page, the same postings anyone can see there; the company name comes from the board's public page on jobs.lever.co. No login, no browser and no proxy are used, and nothing is read that the board does not show publicly. This Actor is independent and not affiliated with or endorsed by Lever. Job postings belong to the employers; use the data in line with your own obligations, for example when you republish it.