# Lever Jobs Scraper: Any Company Postings (`idlewright/lever-jobs-scraper`) Actor

Scrape every open job from any company's Lever careers page (jobs.lever.co): team, location, workplace type, salary range where published, and full description. $1 per 1,000 jobs.

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

## Pricing

$1.00 / 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?

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

Download **all open jobs from any company that uses Lever** (`jobs.lever.co/<company>`) as structured data, for **$1 per 1,000 jobs**.

Each posting comes back with team, commitment, location(s), workplace type (remote, hybrid or on-site), country, posted date, salary range where the company publishes one, apply link and the complete description including responsibilities and requirements lists.

### How to use

1. Copy the company's Lever page, e.g. `https://jobs.lever.co/palantir`, or write `lever:palantir`, or just the name.
2. Paste into **Companies** (as many as you like).
3. Optionally filter by **Title keywords**, **Locations**, **Remote only** or **Posted within (days)**.
4. Run and export JSON/CSV/Excel or use the API.

### Good to know

- **Salary data.** Lever includes pay ranges for companies that enable them (common for US and some EU roles); otherwise salary fields are `null`.
- **Sections included.** The description merges the intro, each requirements/benefits list and the closing text, in order.
- **EU region.** Boards on `jobs.eu.lever.co` are supported.
- **Big boards.** A company with hundreds of postings (Palantir lists 300+) returns in seconds.
- **Daily monitoring.** Use `postedWithinDays: 1` on a schedule to track new openings.

### Use cases

Recruiting pipelines, competitor hiring analysis, lead generation based on hiring signals, job alerts, compensation research and job-board aggregation.

### Output

One consistent record per job, whatever careers system it came from: `company`, `title`, `department`, `team`,
`employmentType`, `workplaceType`, `isRemote`, `location`, `locations`, `country`, `postedAt`, `url`, `applyUrl`,
`salaryMin`, `salaryMax`, `salaryCurrency`, `salaryInterval`, `salaryText`, `descriptionHtml`, `descriptionText`,
`provider`, `jobId` and `scrapedAt`. Fields a careers system doesn't publish are `null`.

### Pricing

**$0.001 per job** ($1 per 1,000 jobs). Jobs removed by your filters are never charged. `maxItems` caps the cost of a run.

### Other careers systems

Beyond Lever, the same actor also reads Workday, Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Rippling,
Recruitee, Teamtailor, Personio, Breezy and Gem. You can mix them in one run.

### Legal

The actor only reads the public job feeds that companies publish so their openings can be displayed and shared.
It does not log in, bypass protection or collect personal data. You are responsible for how you use the data.

*This actor is an independent tool and is not affiliated with, endorsed by or sponsored by Lever, Inc. (Employ Inc.). Lever, Inc. (Employ Inc.) is a trademark of its owner; the name is used only to describe which careers sites the actor reads.*

# Actor input Schema

## `companies` (type: `array`):

One per line. Use a careers page URL (e.g. https://boards.greenhouse.io/airbnb, https://jobs.lever.co/palantir, https://jobs.ashbyhq.com/ramp), a provider:slug pair (e.g. workable:huggingface), a Workday URL (e.g. https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite), or just the company's board name (e.g. stripe) and the right job board is detected automatically (not for Workday).

## `keywords` (type: `array`):

Keep only jobs whose title contains any of these words (case-insensitive). Leave empty for all jobs.

## `locations` (type: `array`):

Keep only jobs whose location contains any of these (e.g. 'London', 'Germany', 'NY'). Leave empty for all.

## `includeRemoteInLocationFilter` (type: `boolean`):

When filtering by location, also keep remote jobs.

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

Keep only jobs marked as remote by the job board.

## `postedWithinDays` (type: `integer`):

Keep only jobs published in the last N days. Leave empty for all.

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

Full description as HTML and plain text.

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

Stop after this many jobs. You pay per job, so this also caps your cost.

## Actor input object example

```json
{
  "companies": [
    "https://jobs.lever.co/palantir"
  ],
  "includeRemoteInLocationFilter": true,
  "remoteOnly": false,
  "includeDescription": true,
  "maxItems": 100
}
```

# Actor output Schema

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

All job postings returned by the run.

## `jobsTable` (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 = {
    "companies": [
        "https://jobs.lever.co/palantir"
    ],
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("idlewright/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 = {
    "companies": ["https://jobs.lever.co/palantir"],
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("idlewright/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 '{
  "companies": [
    "https://jobs.lever.co/palantir"
  ],
  "maxItems": 100
}' |
apify call idlewright/lever-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,idlewright/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/fLzSlvJYbsMFrqOa1/builds/7yxVMwLRvzH1NWvW0/openapi.json