Lever ATS Job Scraper Pro

The most intelligent Lever job scraper on Apify. Don't just extract jobs — understand them.

Extract enriched, classified data with skills extraction, change tracking, salary data, and hiring analytics from any Lever-powered career page. Built for recruiters, aggregators, and HR analytics teams.

No API key needed. Lever job board data is publicly accessible.

What makes this different?

Feature	Other Scrapers	This Scraper
Job extraction	Yes	Yes
Skills extraction (required vs preferred)	No	500-term taxonomy
Seniority classification	No	intern to c-level
Job category standardization	No	13 categories
Work mode detection	No	Native workplaceType + fallback
Commitment type (full-time/part-time)	No	Lever native field
Team + Department	No	Both extracted
Change detection between runs	No	new/updated/removed
Cross-board deduplication	No	fingerprint matching
Salary estimation for missing data	No	peer-based with confidence
Per-company hiring analytics	No	department/skill/salary breakdowns
Company discovery by name/industry	No	100+ company registry
EU API support	No	api.eu.lever.co

Lever advantages over other ATS scrapers

Lever's API provides richer structured data than other ATS platforms:

• workplaceType: Remote, hybrid, or on-site — a first-class field, not guessed from text
• commitment: Full-time, Part-time, Intern, Contract — structured, not inferred
• salaryRange: Min/max/currency/interval — on the main response, no extra API call
• lists[]: Pre-parsed sections (What you'll do, Requirements, Benefits) — perfect for skills extraction
• createdAt: Exact job creation timestamp

What data do you get?

Core fields (every job)

• Job title and UUID
• Company name and slug
• Location, Department, Team
• Commitment (Full-time, Part-time, Intern, Contract)
• Workplace type (remote, hybrid, on-site)
• Salary range (where published)
• Description (HTML + plain text)
• Structured sections (lists with headings)
• Apply URL and Hosted URL
• Created date

Enrichment fields (opt-in)

• seniority: intern, entry, mid, senior, staff, principal, lead, manager, director, vp, c-level
• category: engineering, design, product, marketing, sales, customer-success, operations, hr, finance, legal, data, devops, security
• workMode: Uses Lever's native workplaceType when available, falls back to text classification
• skills: { required: ["Python", "AWS"], preferred: ["Kubernetes"], yearsExperience: "5+" }
• changeStatus: new, updated, removed, unchanged
• estimatedSalary: peer-based estimation with confidence level

Who uses Lever?

Over 5,000 companies including Spotify, Palantir, and many more. If a company's career page URL contains lever.co, this scraper works.

How to use

Option 1: Company slugs

{
  "boardTokens": ["spotify", "palantir", "outreach"],
  "enableClassification": true,
  "enableSkillsExtraction": true
}

Option 2: Search by company name

{
  "companySearch": "Spotify",
  "enableClassification": true
}

Option 3: Monitor hiring changes

{
  "boardTokens": ["spotify", "palantir"],
  "enableChangeDetection": true,
  "deltaOnly": true
}

Output example

{
  "jobId": "abc123-def456-789",
  "title": "Senior Backend Engineer",
  "company": "spotify",
  "boardToken": "spotify",
  "location": "Stockholm, Sweden",
  "departments": ["Engineering"],
  "team": "Platform",
  "commitment": "Permanent",
  "workplaceType": "hybrid",
  "applyUrl": "https://jobs.lever.co/spotify/abc123/apply",
  "hostedUrl": "https://jobs.lever.co/spotify/abc123",
  "createdAt": "2026-03-15T10:00:00.000Z",
  "payRanges": [
    {
      "title": "Salary",
      "minValue": 150000,
      "maxValue": 200000,
      "currency": "USD",
      "interval": "yearly"
    }
  ],
  "seniority": "senior",
  "category": "engineering",
  "workMode": "hybrid",
  "skills": {
    "required": ["Python", "Kubernetes", "AWS", "PostgreSQL"],
    "preferred": ["Kafka", "Terraform"],
    "yearsExperience": "5+"
  },
  "sections": [
    { "heading": "What You'll Do", "content": "<li>Build scalable services...</li>" },
    { "heading": "Who You Are", "content": "<li>5+ years experience...</li>" }
  ],
  "scrapedAt": "2026-04-01T12:00:00.000Z",
  "source": "lever"
}

Input reference

Field	Type	Default	Description
boardTokens	string[]	[]	Lever company slugs or full URLs
companySearch	string	""	Search 100+ company registry by name
industryFilter	string	""	Filter registry by industry
includeDescription	boolean	true	Include descriptions and structured sections
departmentFilter	string	""	Filter by department
locationFilter	string	""	Filter by location
maxJobsPerCompany	integer	0	Limit per company (0 = unlimited)
enableClassification	boolean	true	Seniority, category, work mode
enableSkillsExtraction	boolean	false	Required/preferred skills + years
enableSalaryEstimation	boolean	false	Peer-based salary estimation
enableChangeDetection	boolean	false	Track changes between runs
deltaOnly	boolean	false	Only output changes
deduplicateAcrossBoards	boolean	false	Flag cross-board duplicates
includeAnalytics	boolean	false	Per-company analytics summary
outputProfile	enum	"full"	full / compact / minimal
useEU	boolean	false	Use EU API instance

Pricing

Pay Per Result: $2 per 1,000 jobs ($0.002 per job).

Cost-saving tip: Use enableChangeDetection + deltaOnly on scheduled runs to cut costs by 85-95%.

Related scrapers

Part of our ATS job scraper suite:

• Greenhouse ATS Job Scraper Pro — 7,500+ companies
• Ashby ATS Job Scraper Pro (coming soon)

Feedback

Found a bug or have a feature request? Open an issue on the Issues tab.