💼 Lever Jobs Scraper — Jobs from OpenAI, Anthropic, Notion & 25+ Tech Companies

Extract live job listings from companies hiring on Lever — including OpenAI, Anthropic, Scale, Notion, Figma, Airtable, Plaid, Brex, Ramp and 25+ more — as clean, structured rows. It calls Lever's official public postings API directly, so there's no browser, no anti-bot to bypass and no scraping fragility: just fast, reliable hiring data with titles, locations, departments, employment types and apply URLs. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

🔧 What is the Lever Jobs Scraper?

It turns any Lever-hosted careers page into structured job data. Pass a list of Lever company slugs (or leave it empty to scan a built-in list of 25+ tech and AI employers), add optional keyword, location or remote-only filters, and it returns every matching role with full details — and a full job description on request. Because it uses the official api.lever.co postings endpoint, every run reflects the live state of each job board, with no API key required.

What data does it extract?

For every job:

• job_id, job_title, company_name
• location and remote_flag (true when the location mentions remote)
• employment_type (Full-time, Part-time, Contract, Internship or Unknown)
• team and department
• posted_date (from Lever's createdAt)
• job_url (hosted listing) and apply_url (application link)
• job_description (plain text, when includeDescription is on)
• source (Lever) and scraped_at timestamp

⬇️ Input

Leave companies empty to scan the built-in 25+ company list, or target specific slugs:

Field	Description
companies	Lever company slugs, e.g. openai, anthropic, notion. Empty = built-in 25+ tech/AI companies
keywords	Filter by title keywords, e.g. ["engineer", "research"]
location	Filter by location text, e.g. "remote", "San Francisco", "New York"
remoteOnly	Only return roles flagged remote
maxResults	Maximum jobs to return (1–5000, default 100)
includeDescription	Include full job descriptions in results

Example input

{
  "companies": ["openai", "anthropic", "notion"],
  "keywords": ["research", "engineer"],
  "location": "San Francisco",
  "remoteOnly": false,
  "maxResults": 200,
  "includeDescription": true
}

⬆️ Output

Every job is one clean row (view as a table, or export JSON / CSV / Excel):

{
  "job_id": "a1b2c3d4-5678-90ab-cdef-1234567890ab",
  "job_title": "Member of Technical Staff, Research",
  "company_name": "Anthropic",
  "job_description": "Anthropic is looking for a Member of Technical Staff...",
  "location": "San Francisco, CA",
  "remote_flag": false,
  "employment_type": "Full-time",
  "team": "Alignment",
  "department": "Research",
  "posted_date": "2026-05-28T09:14:00",
  "job_url": "https://jobs.lever.co/anthropic/a1b2c3d4-...",
  "apply_url": "https://jobs.lever.co/anthropic/a1b2c3d4-.../apply",
  "source": "Lever",
  "scraped_at": "2026-06-27T15:30:00.000Z"
}

💡 Use cases

• 🧩 AI & tech job boards: aggregate fresh listings from OpenAI, Anthropic, Scale and 20+ other employers into one feed.
• 🎯 Recruiting & talent intel: track hiring velocity and which roles the hottest AI labs are scaling.
• 🚀 Career platforms: surface live AI/tech roles to candidates the moment they're posted.
• 📊 Market research: analyse hiring trends by role, department, location and employment type.

⚡ Why use this scraper?

Lever powers the careers pages of many of the fastest-growing tech and AI companies, but each board lives behind its own slug and there's no single place to pull them all. This Actor solves that: it calls the official api.lever.co postings endpoint directly — no browser to drive, no anti-bot to defeat and nothing to break when a page redesigns. Leave companies empty and one run sweeps 25+ pre-loaded employers; pass your own slugs to track exactly the companies you care about. Combine keywords, location and remoteOnly to narrow thousands of roles down to the handful that matter, and flip includeDescription on only when you need the full text — keeping fast metadata-only runs cheap.

❓ FAQ

How do I scrape jobs from Lever? Enter one or more Lever company slugs (or leave companies empty for the built-in list), add any filters, and Run. You get structured jobs with titles, locations, departments, apply URLs and optional descriptions.

How do I find a company's Lever slug? It's in the URL of any Lever-hosted board: jobs.lever.co/{slug}. For example, jobs.lever.co/anthropic → slug anthropic.

Which companies are pre-loaded? A built-in list of 25+ tech and AI employers, including OpenAI, Anthropic, Scale, Mistral, Notion, Airtable, Asana, Webflow, Figma, Canva, Plaid, Brex, Ramp, Rippling, Verkada and more. Leave companies empty to scan them all.

Do I need an API key? No. It uses Lever's public postings API (api.lever.co/v0/postings/{slug}) — no key or login required.

Are full job descriptions included? Only when you set includeDescription: true. Without it you get metadata only, which is faster and cheaper.

Can I filter to remote roles? Yes — set remoteOnly: true, or filter on location: "remote". A remote_flag is also added to every job.

How fresh is the data? Real-time. Each run fetches the current live state of every company's job board.

How many jobs can it return? Up to your maxResults cap (max 5000), across all the companies you scan.

Can I run it on a schedule or via API? Yes — schedule recurring runs in Apify for fresh hiring signals, call it via the API/SDK, or connect it to Make, Zapier or n8n.

Is scraping Lever job data legal? It uses Lever's public postings API; listings are intentionally public for indexing. Respect each company's terms and applicable laws when storing or republishing data.

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