# 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, 100.0% runs succeeded, NaN 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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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": "Build scalable services..." },
{ "heading": "Who You Are", "content": "5+ years experience..." }
],
"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 '' with your token
const client = new ApifyClient({
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 '' with your token.
client = ApifyClient("")
# 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("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=maverickpoint/lever-ats-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Lever ATS Job Scraper Pro",
"description": "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.",
"version": "1.0",
"x-build-id": "swWghUZmF0rhYa4D1"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/maverickpoint~lever-ats-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-maverickpoint-lever-ats-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/maverickpoint~lever-ats-scraper/runs": {
"post": {
"operationId": "runs-sync-maverickpoint-lever-ats-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/maverickpoint~lever-ats-scraper/run-sync": {
"post": {
"operationId": "run-sync-maverickpoint-lever-ats-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"boardTokens": {
"title": "Company Slugs",
"type": "array",
"description": "List of Lever company slugs from their careers URL. Example: 'stripe' from https://jobs.lever.co/stripe. You can also paste full URLs.",
"items": {
"type": "string"
}
},
"companySearch": {
"title": "Search Company by Name",
"type": "string",
"description": "Search the built-in registry of 100+ companies by name.",
"default": ""
},
"industryFilter": {
"title": "Filter by Industry",
"type": "string",
"description": "Load all companies from an industry: saas, fintech, ai, cybersecurity, devtools, etc.",
"default": ""
},
"includeDescription": {
"title": "Include Full Job Description",
"type": "boolean",
"description": "Include HTML + plain-text descriptions and structured list sections.",
"default": true
},
"departmentFilter": {
"title": "Filter by Department",
"type": "string",
"description": "Only return jobs matching this department (case-insensitive partial match).",
"default": ""
},
"locationFilter": {
"title": "Filter by Location",
"type": "string",
"description": "Only return jobs matching this location (case-insensitive partial match).",
"default": ""
},
"maxJobsPerCompany": {
"title": "Max Jobs Per Company",
"minimum": 0,
"type": "integer",
"description": "Maximum jobs to extract per company. 0 = unlimited.",
"default": 0
},
"enableClassification": {
"title": "Auto-Classify Jobs",
"type": "boolean",
"description": "Add seniority level, standardized category, and work mode. Uses Lever's native workplaceType when available.",
"default": true
},
"enableSkillsExtraction": {
"title": "Extract Skills & Technologies",
"type": "boolean",
"description": "Parse descriptions and structured lists to extract required vs. preferred skills.",
"default": false
},
"enableSalaryEstimation": {
"title": "Estimate Missing Salaries",
"type": "boolean",
"description": "Estimate salary ranges from peer data when not provided. Requires classification.",
"default": false
},
"enableChangeDetection": {
"title": "Track Changes Between Runs",
"type": "boolean",
"description": "Mark each job as new, updated, removed, or unchanged vs. previous run.",
"default": false
},
"deltaOnly": {
"title": "Delta Only (Changes Only)",
"type": "boolean",
"description": "Only output new, updated, and removed jobs. Saves 85-95% on repeat runs.",
"default": false
},
"deduplicateAcrossBoards": {
"title": "Deduplicate Across Companies",
"type": "boolean",
"description": "Flag duplicate jobs posted across multiple company pages.",
"default": false
},
"includeAnalytics": {
"title": "Include Board Analytics",
"type": "boolean",
"description": "Per-company analytics: department breakdown, top skills, salary coverage.",
"default": false
},
"outputProfile": {
"title": "Output Profile",
"enum": [
"full",
"compact",
"minimal"
],
"type": "string",
"description": "Full: all fields. Compact: no HTML. Minimal: essentials only.",
"default": "full"
},
"useEU": {
"title": "Use EU API Instance",
"type": "boolean",
"description": "Use Lever's EU API (api.eu.lever.co) for EU-hosted companies.",
"default": false
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```