# Lever Jobs Scraper — ATS Postings & Careers (`intelscrape/lever-jobs-scraper`) Actor

Scrape Lever.co ATS postings — title, location, team, commitment, apply URL. Company slug list. Query-first. Demo mode. Pay per job.

- **URL**: https://apify.com/intelscrape/lever-jobs-scraper.md
- **Developed by:** [IntelScrape](https://apify.com/intelscrape) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 jobs

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 Jobs Scraper – Scrape Any Lever ATS Career Page

> **Try it free** — use the default demo board (`palantir`, 310 live jobs) with no configuration needed.

Scrape job postings from any [Lever](https://lever.co)-powered career page. Supply one or many Lever board URLs or company slugs and get structured job data — title, team, location, work type, full description, and application URL.

No API key. Works across every public Lever board.

***

### What you get

| Field | Example |
|---|---|
| `title` | Staff Engineer |
| `team` | Infrastructure |
| `location` | San Francisco, CA |
| `commitment` | Full-time |
| `workplaceType` | hybrid |
| `description` | Full plain-text job description |
| `hostedUrl` | `https://jobs.lever.co/acme/abc123` |
| `applyUrl` | `https://jobs.lever.co/acme/abc123/apply` |
| `companySlug` | `acme` |

***

### Input

```json
{
  "startUrls": ["https://jobs.lever.co/acme"],
  "boardSlugs": ["stripe", "figma"],
  "maxItems": 100
}
```

| Field | Type | Description |
|---|---|---|
| `startUrls` | array | Lever board URLs to scrape |
| `boardSlugs` | array | Company slugs — shorthand for `jobs.lever.co/<slug>` |
| `maxItems` | number | Cap total results (default: 50) |

***

### Use cases

- **Job aggregators** — mirror Lever boards into your own database
- **Talent intelligence** — track team-level headcount growth across a watchlist
- **Recruiting automation** — feed new postings into Slack, Airtable, or your ATS
- **Market research** — map open roles across an industry sector in minutes

***

### Pricing

Pay-per-result. Typical runs cost fractions of a cent per job posting. Start with `maxItems: 10` to verify output before spending anything.

***

### Quick start

1. Open the actor and click **Try for free**
2. Paste Lever board URLs into `startUrls` or slugs into `boardSlugs`
3. Set `maxItems: 10` for a test run
4. Hit **Start** — results appear in the dataset within seconds

# Actor input Schema

## `startUrls` (type: `array`):

Lever career page URLs (e.g. https://jobs.lever.co/stripe). Slug is extracted automatically.

## `boardSlugs` (type: `array`):

Raw Lever board slugs (e.g. stripe, notion). Alternative to startUrls.

## `maxItems` (type: `integer`):

Maximum number of job items to push (across all boards).

## Actor input object example

```json
{
  "startUrls": [
    "https://jobs.lever.co/palantir"
  ],
  "maxItems": 50
}
```

# 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 = {
    "startUrls": [
        "https://jobs.lever.co/palantir"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("intelscrape/lever-jobs-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 = { "startUrls": ["https://jobs.lever.co/palantir"] }

# Run the Actor and wait for it to finish
run = client.actor("intelscrape/lever-jobs-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 '{
  "startUrls": [
    "https://jobs.lever.co/palantir"
  ]
}' |
apify call intelscrape/lever-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,intelscrape/lever-jobs-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/ZgvCg8edIAEdmMdhq/builds/Hoetrhes53V7JuuPM/openapi.json