# Lever Jobs Scraper (US & EU Postings API) (`data-goose/lever-job-scraper`) Actor

Fast 128MB HTTP scraper for Lever job boards (jobs.lever.co & jobs.eu.lever.co). Extracts full job descriptions (including requirement lists), native salaryRange + regex salaries, workplaceType, recruiter emails, company domains, and tracks new & closed jobs across runs.

- **URL**: https://apify.com/data-goose/lever-job-scraper.md
- **Developed by:** [Data Goose](https://apify.com/data-goose) (community)
- **Categories:** Jobs, Lead generation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.70 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 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.

***

### 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](https://apify.com/data-goose/career-site-job-scraper), [Workday Jobs Scraper](https://apify.com/data-goose/workday-job-scraper), [Greenhouse Jobs Scraper](https://apify.com/data-goose/greenhouse-job-scraper), [Ashby Job Scraper](https://apify.com/data-goose/ashby-job-scraper), [SmartRecruiters Jobs Scraper](https://apify.com/data-goose/smartrecruiters-job-scraper), [Rippling Jobs Scraper](https://apify.com/data-goose/rippling-job-scraper), [Workable Jobs Scraper](https://apify.com/data-goose/workable-job-scraper), [Recruitee Jobs Scraper](https://apify.com/data-goose/recruitee-job-scraper), [Breezy HR Jobs Scraper](https://apify.com/data-goose/breezyhr-job-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.

***

### 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

```json
{
  "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`):

```json
{
  "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`:

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

***

### 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 |

***

### 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).

***

### 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 |

***

### Output (Unified 31-Field Schema)

```json
{
  "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
}
```

***

### 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.

***

### API Usage

#### Python (`apify-client`)

```python
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:**

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

#### cURL

```bash
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}'
```

***

### 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`)](https://apify.com/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`)](https://apify.com/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`)](https://apify.com/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`)](https://apify.com/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`)](https://apify.com/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`)](https://apify.com/data-goose/smartrecruiters-job-scraper) | **SmartRecruiters**: Global enterprises (ServiceNow, Bosch, Experian, Eurofins) |
| [Rippling Jobs Scraper (ATS Boards & Salaries) (`data-goose/rippling-job-scraper`)](https://apify.com/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`)](https://apify.com/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`)](https://apify.com/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`)](https://apify.com/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](https://apify.com/data-goose).

***

### 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.

# Actor input Schema

## `urls` (type: `array`):

Paste Lever board URLs (https://jobs.lever.co/palantir), EU boards (https://jobs.eu.lever.co/...), single job URLs, custom career URLs, or bare company slugs (palantir, spotify, zoox, veeva).

## `includeBuiltInTechDirectory` (type: `boolean`):

Automatically scan 15+ verified tech companies on Lever (Palantir, Spotify, Zoox, Veeva, Wealthfront, Outreach, Binance, Coupa, Metabase, JumpCloud, Neon, Shield AI, etc.) in addition to your input list. Optional: any Lever company works if you paste its board URL or slug above.

## `keywordFilter` (type: `string`):

Optional case-insensitive regex, comma/pipe-separated OR terms, and -exclude tokens matched against job title and description (e.g. 'engineer, python, -intern').

## `excludeKeywordFilter` (type: `string`):

Case-insensitive regex or comma-separated keywords to exclude from job titles (e.g. 'Senior, Staff, Director').

## `departmentFilter` (type: `string`):

Optional case-insensitive substring matched against department or team names.

## `locationFilter` (type: `string`):

Optional case-insensitive substring matched against job locations (e.g. New York, London, Remote, Europe).

## `remoteOnly` (type: `boolean`):

Only return jobs classified as Remote.

## `publishedAfter` (type: `string`):

Only return jobs created on or after this ISO date (YYYY-MM-DD).

## `deduplicateMultiLocationJobs` (type: `boolean`):

Collapses identical (companyToken, title, department) postings across multiple cities into a single dataset item with all locations merged.

## `onlyNewJobs` (type: `boolean`):

Persists seen job IDs in a named Key-Value Store ('lever-job-monitor-state'), outputs only net-new jobs since your previous run, and records closed/expired jobs in RUN_SUMMARY.

## `monitorName` (type: `string`):

Identifier for the change-monitor state key so multiple scheduled tasks can track separate watchlists.

## `maxJobsPerCompany` (type: `integer`):

Cap the number of jobs extracted per company board. 0 = automatic fair share across boards.

## `maxTotalJobs` (type: `integer`):

Maximum total jobs to output across the entire run.

## Actor input object example

```json
{
  "urls": [
    "palantir",
    "spotify",
    "zoox",
    "veeva"
  ],
  "monitorName": "default",
  "maxJobsPerCompany": 50,
  "maxTotalJobs": 200
}
```

# Actor output Schema

## `jobs` (type: `string`):

No description

## `runSummary` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "palantir",
        "spotify",
        "zoox",
        "veeva"
    ],
    "maxJobsPerCompany": 50,
    "maxTotalJobs": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("data-goose/lever-job-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "urls": [
        "palantir",
        "spotify",
        "zoox",
        "veeva",
    ],
    "maxJobsPerCompany": 50,
    "maxTotalJobs": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("data-goose/lever-job-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "palantir",
    "spotify",
    "zoox",
    "veeva"
  ],
  "maxJobsPerCompany": 50,
  "maxTotalJobs": 200
}' |
apify call data-goose/lever-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,data-goose/lever-job-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/5kFcvEfCg0xgKXEJ1/builds/NjHWA07mkxz777FqX/openapi.json