# Lever ATS Job Scraper Pro (`maverickpoint/lever-ats-scraper`) Actor

Extract and enrich jobs from 5,000+ Lever companies. Skills extraction, job classification, change detection, deduplication, salary data, and hiring analytics. 100+ company registry. No API key needed.

- **URL**: https://apify.com/maverickpoint/lever-ats-scraper.md
- **Developed by:** [Rahul Sharma](https://apify.com/maverickpoint) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 55.6% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 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

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

#### Option 2: Search by company name

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

#### Option 3: Monitor hiring changes

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

### Output example

```json
{
  "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](https://apify.com/maverickpoint/greenhouse-ats-scraper)** — 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.

# Actor input Schema

## `boardTokens` (type: `array`):

List of Lever company slugs from their careers URL. Example: 'stripe' from https://jobs.lever.co/stripe. You can also paste full URLs.

## `companySearch` (type: `string`):

Search the built-in registry of 100+ companies by name.

## `industryFilter` (type: `string`):

Load all companies from an industry: saas, fintech, ai, cybersecurity, devtools, etc.

## `includeDescription` (type: `boolean`):

Include HTML + plain-text descriptions and structured list sections.

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

Only return jobs matching this department (case-insensitive partial match).

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

Only return jobs matching this location (case-insensitive partial match).

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

Maximum jobs to extract per company. 0 = unlimited.

## `enableClassification` (type: `boolean`):

Add seniority level, standardized category, and work mode. Uses Lever's native workplaceType when available.

## `enableSkillsExtraction` (type: `boolean`):

Parse descriptions and structured lists to extract required vs. preferred skills.

## `enableSalaryEstimation` (type: `boolean`):

Estimate salary ranges from peer data when not provided. Requires classification.

## `enableChangeDetection` (type: `boolean`):

Mark each job as new, updated, removed, or unchanged vs. previous run.

## `deltaOnly` (type: `boolean`):

Only output new, updated, and removed jobs. Saves 85-95% on repeat runs.

## `deduplicateAcrossBoards` (type: `boolean`):

Flag duplicate jobs posted across multiple company pages.

## `includeAnalytics` (type: `boolean`):

Per-company analytics: department breakdown, top skills, salary coverage.

## `outputProfile` (type: `string`):

Full: all fields. Compact: no HTML. Minimal: essentials only.

## `useEU` (type: `boolean`):

Use Lever's EU API (api.eu.lever.co) for EU-hosted companies.

## Actor input object example

```json
{
  "boardTokens": [
    "spotify",
    "palantir",
    "outreach"
  ],
  "companySearch": "",
  "industryFilter": "",
  "includeDescription": true,
  "departmentFilter": "",
  "locationFilter": "",
  "maxJobsPerCompany": 0,
  "enableClassification": true,
  "enableSkillsExtraction": false,
  "enableSalaryEstimation": false,
  "enableChangeDetection": false,
  "deltaOnly": false,
  "deduplicateAcrossBoards": false,
  "includeAnalytics": false,
  "outputProfile": "full",
  "useEU": false
}
```

# 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 = {
    "boardTokens": [
        "spotify",
        "palantir",
        "outreach"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("maverickpoint/lever-ats-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 = { "boardTokens": [
        "spotify",
        "palantir",
        "outreach",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("maverickpoint/lever-ats-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 '{
  "boardTokens": [
    "spotify",
    "palantir",
    "outreach"
  ]
}' |
apify call maverickpoint/lever-ats-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,maverickpoint/lever-ats-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/N2ZV11afMtxtVC39B/builds/swWghUZmF0rhYa4D1/openapi.json