Lever Jobs Scraper (US & EU Postings API)

Pull every open job from any Lever job board (jobs.lever.co and jobs.eu.lever.co) in seconds: full descriptions (merging descriptionPlain, all requirement lists, additionalPlain, and salaryDescriptionPlain), native salaryRange objects plus regex salary extraction, locations, departments, workplace type, recruiter emails, corporate domains, and only the new jobs since your last scheduled run.

Runs as pure HTTP against the official Lever Postings API (v0/postings) in 128 MB of memory with zero browser overhead.

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Which companies can I scrape?

Any company that posts its jobs on Lever, not just the ones in our built-in list. Add as many as you like to urls, in any of these forms:

You paste	Example
The company's Lever board URL	https://jobs.lever.co/palantir
Just the company's slug	palantir
A single job URL	https://jobs.lever.co/palantir/<job-id>

Finding the slug: open any job on the company's careers page and look at the address bar. The slug comes right after the domain: jobs.lever.co/palantir/…. EU boards (jobs.eu.lever.co) work too.

What's the built-in directory? An optional shortcut. Turn on includeBuiltInTechDirectory to also scan 15+ verified tech companies without typing anything. It's off by default and never limits what you can scrape.

Optional Starter Directory (Any Lever Board URL or Slug Works in urls)

You can scrape any company that uses Lever by pasting its board URL or company slug into urls. The 16 companies below are only the optional built-in starter list (scanned when you turn on "includeBuiltInTechDirectory": true)—they never restrict which companies you can scrape:

palantir (Palantir Technologies — palantir.com), spotify (Spotify — spotify.com), zoox (Zoox — zoox.com), veeva (Veeva Systems — veeva.com), outreach (Outreach — outreach.io), ro (Ro — ro.co), wealthfront (Wealthfront — wealthfront.com), jobgether (Jobgether — jobgether.com), binance (Binance — binance.com), coupa (Coupa — coupa.com), metabase (Metabase — metabase.com), latch (Latch — latch.com), jumpcloud (JumpCloud — jumpcloud.com), neon (Neon — neon.tech), shieldai (Shield AI — shield.ai), rigetti (Rigetti — rigetti.com)

Scraping companies across multiple ATS platforms? Combine this Actor with our other live 31-field job scrapers (All-in-One ATS Job Scraper, Workday Jobs Scraper, Greenhouse Jobs Scraper, Ashby Job Scraper, SmartRecruiters Jobs Scraper, Rippling Jobs Scraper, Workable Jobs Scraper, Recruitee Jobs Scraper, Breezy HR Jobs Scraper)—all sharing the exact same 31-field output schema (companyDomain, salaryMin, salaryMax, recruiterEmails, isNew) so they plug into a single n8n, Make, Clay, or Python pipeline with zero field-mapping changes.

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Quick Start — 3 Common Workflows

Click Save & Start in Apify Console to run the prefilled sample immediately, or copy one of these ready-to-run JSON inputs:

1. Targeted Keyword & Remote Job Search

{
  "urls": ["palantir", "spotify", "zoox"],
  "keywordFilter": "engineer, ai, -intern",
  "remoteOnly": true,
  "maxJobsPerCompany": 25
}

2. Scheduled Daily Change Monitor (Emit Only Net-New Jobs)

Run on an hourly or daily schedule—the first run establishes your baseline, and every subsequent run outputs only newly posted jobs (while logging closed/expired job IDs to RUN_SUMMARY):

{
  "urls": ["palantir", "spotify", "zoox"],
  "onlyNewJobs": true,
  "monitorName": "daily-watchlist",
  "maxJobsPerCompany": 50
}

3. Zero-Input Built-In Directory Scan (B2B Hiring Signals & Clay / CRM Enrichment)

Scan our built-in directory of verified companies without hunting down board URLs—every output record includes companyDomain, salaryFormatted, and recruiterEmails:

{
  "urls": [],
  "includeBuiltInTechDirectory": true,
  "deduplicateMultiLocationJobs": true,
  "maxJobsPerCompany": 15,
  "maxTotalJobs": 300
}

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Why developers switch to this Actor

	This Actor (data-goose)	Typical HTML / cached Lever scrapers
Architecture	Pure HTTP + JSON (api.lever.co + api.eu.lever.co), 128 MB RAM	Headless Chrome (1–4 GB RAM) or stale cached feeds
US + EU data centers	✅ Automatic fallback between api.lever.co and api.eu.lever.co	❌ Usually US only
Complete descriptions (lists merged)	✅ Concatenates description, all lists sections (Responsibilities, Qualifications, Benefits), and additional so no requirements or salary blurbs are lost	❌ Drops lists[] array, losing 70% of the job text
Structured + Regex Salaries	✅ Reads Lever's native salaryRange (source: "lever_salary_range") + regex fallback on salaryDescriptionPlain & description	❌ Free-text only or missing
B2B Enrichment (companyDomain & recruiterEmails)	✅ Derives root companyDomain (palantir.com, spotify.com) and extracts recruiterEmails	❌ Missing
Change Monitor + Closed Jobs	✅ onlyNewJobs emits net-new jobs and records closedJobCount + closedJobKeys in RUN_SUMMARY	❌ Charges extra or lacks state

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Drop-in migration from other job scrapers

Switching from bytepulselabs, fantastic-jobs, or parseforge requires no changes to your input or downstream code:

• Input: accepts urls as plain strings, bare slugs ("palantir", "spotify"), full Lever URLs (https://jobs.lever.co/zoox), single job URLs (https://jobs.lever.co/palantir/<uuid>), or legacy request-list objects ([{"url": "..."}]).
• Output: emits the unified 31-field schema shared across all 10 data-goose ATS scrapers (9 legacy base fields + 22 enriched fields).

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Input

Field	Type	Default	Description
urls	array	["palantir", "spotify", "zoox", "veeva"]	Lever board URLs, single job URLs, custom career URLs, or bare slugs
includeBuiltInTechDirectory	boolean	false	Also scan 15+ verified tech companies on Lever
keywordFilter	string	–	Case-insensitive regex, comma/pipe OR terms, and -exclude tokens (e.g. "engineer, rust, -intern")
excludeKeywordFilter	string	–	Comma-separated keywords or regex excluded from job titles (e.g. "Senior, Staff, Director")
departmentFilter	string	–	Substring match on department or team names
locationFilter	string	–	Substring match on primary and secondary locations
remoteOnly	boolean	false	Only jobs classified as Remote
publishedAfter	string	–	YYYY-MM-DD. Keeps jobs created on or after this date
deduplicateMultiLocationJobs	boolean	false	Merge identical (companyToken, title, department) postings across cities into one item
onlyNewJobs	boolean	false	Change monitor: emit only net-new jobs and record closed jobs in RUN_SUMMARY
monitorName	string	"default"	Separate state key for each watchlist or scheduled task
maxJobsPerCompany	integer	0	Cap per board (0 = automatic fair share across boards)
maxTotalJobs	integer	200	Maximum total jobs across the run

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Output (Unified 31-Field Schema)

{
  "id": "8b7d4c12-3f9a-4e21-9b11-0123456789ab",
  "type": "Full-time",
  "title": "Forward Deployed Software Engineer",
  "description": "A World-Changing Company\nPalantir builds the world's leading software for data-driven decisions...",
  "locations": ["New York, NY", "Washington, D.C."],
  "department": "Engineering",
  "postingUrl": "https://jobs.lever.co/palantir/8b7d4c12-3f9a-4e21-9b11-0123456789ab",
  "applyUrl": "https://jobs.lever.co/palantir/8b7d4c12-3f9a-4e21-9b11-0123456789ab/apply",
  "publishedAt": "2026-10-28T16:40:12+00:00",
  "ats": "lever",
  "companyToken": "palantir",
  "companyName": "Palantir Technologies",
  "companyDomain": "palantir.com",
  "internalJobId": "8b7d4c12-3f9a-4e21-9b11-0123456789ab",
  "requisitionId": null,
  "updatedAt": "2026-10-28T16:40:12+00:00",
  "isRemote": false,
  "workplaceType": "Hybrid",
  "departments": ["Engineering", "Forward Deployed Engineering"],
  "offices": ["New York, NY", "Washington, D.C."],
  "salaryMin": 135000.0,
  "salaryMax": 200000.0,
  "salaryCurrency": "USD",
  "salaryInterval": "year",
  "salaryFormatted": "USD 135,000 - 200,000 / year",
  "salaryRanges": [
    {
      "min": 135000.0,
      "max": 200000.0,
      "currency": "USD",
      "interval": "year",
      "title": null,
      "blurb": "Salary range: $135,000 - $200,000 / year.",
      "formatted": "USD 135,000 - 200,000 / year",
      "source": "lever_salary_range"
    }
  ],
  "recruiterEmails": [],
  "metadata": {
    "team": "Forward Deployed Engineering",
    "commitment": "Full-time",
    "country": "US",
    "leverWorkplaceType": "hybrid"
  },
  "isNew": true,
  "descriptionHtml": "<div>A World-Changing Company...</div>",
  "questions": null
}

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Pricing (Pay-Per-Event — No Monthly Subscription)

This Actor uses transparent Pay-Per-Event pricing. You only pay for jobs actually written to your dataset—filtered-out records and already-seen records (onlyNewJobs: true) cost $0.

Plan Tier	Per Job (apify-default-dataset-item)	Cost per 1,000 Jobs	Actor Start Fee (apify-actor-start)	Proxy Cost
Free	$0.00120	$1.20	$0.005	$0 (no proxy needed)
Bronze	$0.00100	$1.00	$0.005	$0
Silver	$0.00085	$0.85	$0.005	$0
Gold / Platinum / Diamond	$0.00070	$0.70	$0.005	$0

• 128 MB Memory Footprint: Runs in pure async HTTP (128 MB RAM instead of 1–4 GB headless browsers), reducing Apify compute usage by 8x–32x.
• Built-in Spend Cap Protection: Use maxTotalJobs / maxJobsPerCompany or Apify's Maximum cost per run setting to cap spend to the exact cent.

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API Usage

Python (apify-client)

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("data-goose/lever-job-scraper").call(run_input={
    "urls": ["palantir", "spotify", "zoox", "veeva"],
    "keywordFilter": "engineer|developer",
    "onlyNewJobs": True,
    "monitorName": "lever-eng",
})

for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["companyName"], "|", job["companyDomain"], "|", job["title"], "|", job["salaryFormatted"])

n8n / Make (HTTP Request)

• Method: POST
• URL: https://api.apify.com/v2/acts/data-goose~lever-job-scraper/run-sync-get-dataset-items
• Headers: Authorization: Bearer {{APIFY_TOKEN}}, Content-Type: application/json
• Body:

{
  "urls": ["palantir", "spotify", "zoox", "veeva"],
  "remoteOnly": true,
  "onlyNewJobs": true,
  "monitorName": "n8n-lever"
}

cURL

curl -X POST "https://api.apify.com/v2/acts/data-goose~lever-job-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"urls": ["palantir", "spotify", "zoox", "veeva"], "maxJobsPerCompany": 50}'

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Explore the Data Goose Scraper Suite (128 MB Pure-HTTP)

All published Actors below run in 128 MB RAM with zero browser overhead and deterministic schemas (all ATS & Job scrapers share the exact same 31-field output schema):

Actor	Target Platform & Primary Use Case
All-in-One ATS Job Scraper (9 Platforms) (data-goose/career-site-job-scraper)	All-in-One Router: auto-detects & scrapes all 9 ATS platforms from any company domain or URL
Workday Jobs Scraper: Unlimited API & Salaries (data-goose/workday-job-scraper)	Workday: Fortune 500 & global enterprises (>2,000 facet bypass + 100+ built-in boards)
Greenhouse Jobs Scraper (Fast API & Salaries) (data-goose/greenhouse-job-scraper)	Greenhouse: High-growth tech & unicorns (US + EU API, pay_transparency salaries)
Lever Jobs Scraper (US & EU Postings API) (data-goose/lever-job-scraper)	Lever: Tech & scaleups (US + EU fallback, native salaryRange + combined lists)
Ashby Job Scraper (YC Startups & Salaries) (data-goose/ashby-job-scraper)	Ashby: AI startups & YC companies (includeCompensation=true structured salary tiers)
SmartRecruiters Jobs Scraper (Enterprise API & Salaries) (data-goose/smartrecruiters-job-scraper)	SmartRecruiters: Global enterprises (ServiceNow, Bosch, Experian, Eurofins)
Rippling Jobs Scraper (ATS Boards & Salaries) (data-goose/rippling-job-scraper)	Rippling ATS: Modern startups & scaleups (/api/v1/board/{slug}/jobs + pay ranges)
Workable Jobs Scraper: Direct API & Salaries (data-goose/workable-job-scraper)	Workable: Mid-market & European tech (v3 list + v2 detail orchestration)
Recruitee Jobs Scraper (Bulk API, Salaries & Emails) (data-goose/recruitee-job-scraper)	Recruitee: European & remote-first companies (single-call /api/offers JSON)
Breezy HR Jobs Scraper (Salaries & Hiring Emails) (data-goose/breezyhr-job-scraper)	Breezy HR: SMB & agencies (live /json feeds + full descriptions, no 100-item cap)

Looking for our E-Commerce, Lead Enrichment, Financial & Trend Scrapers? Browse all published 128 MB pure-HTTP scrapers on the Data Goose Apify Store Profile.

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Support & Custom Contracting

• 🐛 Bugs & feature requests: open an issue on the Actor's Issues tab or email us.
• 📧 datagoosedev@gmail.com — we reply within one business day.