Lever Jobs Scraper

Scrape any company's Lever job board and get clean, de-duplicated job JSON: title, team, location, workplace type and canonical apply URLs. One click, no required fields, no LLM.

What it does

Lever (jobs.lever.co) hosts the careers pages of thousands of tech companies. This actor reads any company's public Lever postings API and returns every open role as clean JSON: title, team, location, commitment, workplace type and the canonical hosted-apply URL. Give it one company handle (palantir) or several (palantir,figma) and it paginates through everything, de-duplicated and ready for your pipeline. The perfect twin to our Greenhouse Jobs Scraper for full ATS coverage.

Why this one:

• Official public postings API — no HTML parsing, no proxies
• Team, commitment and workplace type included
• Multi-company runs + monitor mode for scheduled diffing
• No LLM anywhere — deterministic output, predictable costs, no hallucinated fields
• Clean by default — canonical URLs (tracking parameters stripped), parsed numbers, merged duplicates

Quick start (no code)

1. Click Try for free / Start — every field has a working default, nothing is required.
2. (Optional) change query to what you need.
3. Open the Dataset tab when the run finishes → export as JSON, CSV or Excel.

Input

Field	Required	Default	Description
query	no	palantir	Lever company handle, comma-separated for multiple (e.g. palantir,figma). Find it in the job page URL: jobs.lever.co/<company>.
maxResults	no	20	Maximum clean results (capped at 500)
enrich	no	false	Deterministic enrichment per record — see below
monitor	no	false	Compare with the previous run, flag NEW records only

Example input:

{
  "query": "palantir,figma",
  "maxResults": 100
}

Output

Real example record (from a live run):

{
  "id": "ac978161-6f46-4f6b-ad9e-a258e642751c",
  "title": "Administrative Business Partner",
  "url": "https://jobs.lever.co/palantir/ac978161-6f46-4f6b-ad9e-a258e642751c",
  "location": "London, United Kingdom",
  "seller": "palantir",
  "team": "Administrative",
  "commitment": "Full-time",
  "description": "A World-Changing Company Palantir builds the world's leading software for data-driven decisions..."
}

The final _summary row carries run totals (total_clean, deduped, enriched); in monitor mode a _changes row lists keys new since the last run.

Field reference

Field	Meaning
id	Lever posting ID (stable, deduplication key)
title	Job title
url	Canonical hosted apply URL
seller	Company handle
location	Posting location(s)
team	Team / department
commitment	Full-time / part-time etc.
workplace_type / country / created_at	Present when the company publishes them
price / price_text	Parsed numeric value + original text, when the source publishes one
completeness	0–1 filled-fields score (with enrich)

Use cases

• ATS coverage — pair with our Greenhouse Jobs Scraper to cover the two biggest startup ATS platforms.
• Competitor hiring watch — schedule with monitor mode; change-alert fires only on NEW roles.
• Talent mapping — which teams is a scale-up growing? team tells you directly.
• Sales signals — new go-to-market roles = expansion signal for your CRM.
• AI agents — live 'is company X hiring in Europe?' answers via MCP.

Enrichment (optional, charged only when it produces something)

Set enrich: true and every record additionally gets: e-mail addresses extracted from the description (when present), the canonical domain of the record's URL, and a completeness score (0–1, how many core fields are filled). Deterministic — the same input always yields the same output — and you are only charged for records that actually got enriched. Records where enrichment adds nothing are free.

Monitor mode — change alerts on a schedule

Set monitor: true and the actor compares the current run with the previous one (per-actor named storage) and flags only NEW records. Combine with Apify Schedules for a daily/hourly watch: the _changes summary row lists what appeared since the last run, and the change-alert event is charged per new record only — an unchanged run costs you almost nothing.

Use it from your code

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("EnezLi/lever-scraper").call(run_input={  "query": "palantir,figma",  "maxResults": 100 })
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const { defaultDatasetId } = await client.actor('EnezLi/lever-scraper').call({  "query": "palantir,figma",  "maxResults": 100 });
const { items } = await client.dataset(defaultDatasetId).listItems();
console.log(items);

curl

curl -X POST "https://api.apify.com/v2/acts/EnezLi~lever-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{  "query": "palantir,figma",  "maxResults": 100 }'

Use it with AI agents (MCP)

This actor is agent-ready: it appears in Apify's AGENTS / MCP servers catalog, so any MCP-capable assistant (Claude, custom agents, LangGraph tools) can discover and call it with a one-line tool call — zero required fields means an agent can run it safely with defaults. Connect your agent to the Apify MCP server and ask for live data in natural language.

Pricing — Pay-Per-Event, start is free

Event	When charged
Actor start	Free ($0) — try it with one click
result	Per clean result returned
enrichment	Only per record that actually got enriched
change-alert	Monitor mode: per NEW record since the previous run

No subscription, no minimum. Volume discounts apply automatically through Apify account tiers (up to −44% on GOLD). Typical run cost example: 20 results ≈ a few cents total — you can predict your bill from the numbers above before you run.

Is this legal?

This actor collects publicly available data only — the same information any visitor sees in a browser, via public endpoints. It does not bypass logins, collect private personal data, or store credentials. You are responsible for using the output in compliance with the source site's terms and the laws that apply to you (e.g. GDPR when the output contains personal data).

Support & feedback

Found a bug, need another field, or want a variant for a related platform? Open an issue on the Issues tab — issues are monitored and answered, and frequently-requested fields get added to the standard output. The actor is maintained as part of a scraper family built on one shared, tested core (bugs fixed once are fixed everywhere).

Changelog

• 0.1 (2026-07) — initial public release: search, dedup, optional enrichment, monitor mode, PPE pricing.

Limitations (honest ones)

Reads Lever's official public postings API; companies that left Lever or hid their board return zero rows. Description text is truncated to 500 characters for now.

FAQ

How do I find a company's Lever handle?

Open the company's careers page; if it's on Lever the URL looks like jobs.lever.co/palantir — the last part is the handle.

A company returned zero jobs — why?

Either the handle is misspelled, the company has no open roles, or they moved off Lever. The run ends cleanly either way (no crash, nothing charged for results).

Full job descriptions?

A 500-character plain-text excerpt is included; full descriptions are a planned add-on — open an issue if you need them.

Do I need an API key or account on the source platform?

No. The actor uses public endpoints — you only need your Apify account.

Does it use AI / an LLM?

No. The core is fully deterministic: same input, same output, no hallucinations, no per-token costs.

Can I run it on a schedule?

Yes — use Apify Schedules; combine with monitor mode to pay only for what's new.

What's the maximum number of results?

500 per run (memory-safe cap). Run multiple queries or schedule runs for more.

How is my bill calculated?

Only from the events in the Pricing table — start is free, and there is no subscription.