# Lever Job Board Scraper — Open Roles & Hiring Signals (`foxlabs/lever-job-board-scraper`) Actor

Scrape every open role from any company's Lever careers site by company slug or URL. Returns job title, team, commitment, workplace type, location, posted date, salary range where published, description and apply URL.

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

## Pricing

$2.00 / 1,000 job postings

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 Job Board Scraper — Company Hiring Signals 🚀

**foXLabs hiring series:** [Greenhouse](https://apify.com/foxlabs/greenhouse-job-board-scraper) · [Ashby](https://apify.com/foxlabs/ashby-job-board-scraper) · [Workday](https://apify.com/foxlabs/workday-job-board-scraper) · [SmartRecruiters](https://apify.com/foxlabs/smartrecruiters-job-board-scraper) · [Personio](https://apify.com/foxlabs/personio-job-board-scraper) · [Teamtailor](https://apify.com/foxlabs/teamtailor-job-board-scraper)

🎉 Turn any company's Lever board into clean, structured hiring data — no login, no API key, one row per open role.
Built for recruiters, sales & competitive-intelligence teams, and anyone scoring hiring intent at scale.

### 🔍 What is the Lever Job Board Scraper — and when should you use it?

Lever runs the careers site for a big slice of scale-up tech. Give this actor a company slug (`spotify`) or a Lever job-site URL and it returns every open role — title, team, department, location(s), employment type, salary where published, the full description and the apply link.

**Use it when you need:** every open role at a target company, hiring-intent signals (which functions a company is growing), a recruiter sourcing list across many companies, or a clean read of a competitor's headcount plans — from Lever's public postings API, no key.

**Use something else when:** the company doesn't run on Lever. Point the matching actor at its ATS instead — every actor in the **foXLabs hiring series** emits the **same schema**, so their outputs concatenate into one hiring-intent table: [Greenhouse](https://apify.com/foxlabs/greenhouse-job-board-scraper) · [Ashby](https://apify.com/foxlabs/ashby-job-board-scraper) · [Workday](https://apify.com/foxlabs/workday-job-board-scraper) · [SmartRecruiters](https://apify.com/foxlabs/smartrecruiters-job-board-scraper) · [Personio](https://apify.com/foxlabs/personio-job-board-scraper) · [Teamtailor](https://apify.com/foxlabs/teamtailor-job-board-scraper).

### 🤖 Use with AI agents

**Already on the Apify MCP server?** Ask for this Actor by name: `foxlabs/lever-job-board-scraper`.

**Your agent can pay for its own runs.** This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over **x402 (USDC on Base)** or **Skyfire** — no Apify account or API token of its own. Billing is per delivered role, never for errors.

Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

```
I want to pull a company's open roles using the Apify Actor `foxlabs/lever-job-board-scraper`.
Input: `queries` is a list of a Lever company slug (`spotify`) or a job-site URL. `maxResultsPerQuery` caps rows per company (default 200).
Start with: {"queries":["spotify"],"maxResultsPerQuery":50}
Ask me which companies to track, run the Actor, then summarise the roles as a table.
```

The machine-readable API, MCP config and OpenAPI definition live at `apify.com/foxlabs/lever-job-board-scraper.md`.

### 📋 Overview

Everything you need to turn a Lever careers board into clean, structured data — role details, metadata and hiring signals — in one actor, with no login, cookies or API key.

**Why teams pick this actor:**

- ✅ **Whole board in one call** — every open role, no per-tool stitching.
- ⚡ **Slug- or URL-native** — paste what you already have; the actor resolves the rest.
- 📄 **Complete descriptions** — full role text, HTML stripped to clean plain text.
- 🔗 **Same schema across the series** — join with the six sibling ATS actors on `companyBoard`.
- 💰 **Pay only for results** — per-row pricing, empty/failed lookups never billed.
- 🤖 **Agent-ready** — MCP + x402 agentic payments.
- ⚡ **Rich fields** — team, workplace type and salary range (where the company publishes one), not just a title.

### 🎬 Quick Start

```bash
curl -X POST "https://api.apify.com/v2/acts/foxlabs~lever-job-board-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["spotify"],"maxResultsPerQuery":50}'
```

### 🚀 Getting Started (3 steps)

1. **Choose your companies** — a Lever company slug (`spotify`) or a job-site URL.
2. **Set the cap** — `maxResultsPerQuery` limits rows per company (default 200).
3. **Run and export** — a clean dataset as JSON, CSV or Excel.

### 📥 Input

```json
{
  "queries": [
    "spotify",
    "palantir",
    "https://jobs.lever.co/swordhealth"
  ],
  "maxResultsPerQuery": 200,
  "maxConcurrency": 5,
  "includeRaw": false
}
```

| Field | Type | Description |
|---|---|---|
| `queries` | array | a Lever company slug (`spotify`) or a job-site URL. |
| `maxResultsPerQuery` | integer | Caps rows per company (default 200). |
| `maxConcurrency` | integer | How many companies to fetch at once. |
| `includeRaw` | boolean | Attach the source's untouched record under `raw`. |
| `requestDelayMs` | integer | Politeness delay between requests. |
| `proxyConfiguration` | object | Optional. |

### 📤 Output

One row per open role, saved to the dataset.

| Field | Type | Description |
|---|---|---|
| `companyName` | Company name |
| `companyBoard` | Company slug — join key across runs |
| `jobId` | Lever posting ID |
| `jobTitle` | Role title |
| `department` | Department (Lever category) |
| `team` | Team |
| `location` | Primary location |
| `allLocations` | All posting locations |
| `isRemote` | Remote flag |
| `workplaceType` | On-site / remote / hybrid |
| `employmentType` | Commitment (full-time, contract…) |
| `salary` | Salary range where published |
| `postedAt` | Posted date (ISO) |
| `description` | Full description, HTML stripped |
| `applyUrl` | Apply link |
| `sourceUrl` | Public posting URL |

Every row also carries `query`, `scrapedAt`, and — when a lookup fails — an `error`.

### 💼 Use cases

**1. Hiring-intent scoring**
*Input:* target company slugs, weekly. *Output:* roles by team + salary + date. *Use:* rank accounts by what they are recruiting for.

**2. Compensation benchmarking**
*Input:* a set of peer slugs. *Output:* roles with published salary ranges. *Use:* benchmark pay bands by function and market.

**3. Recruiter sourcing**
*Input:* many slugs in one run. *Output:* one table of roles + apply links. *Use:* build a sourcing pipeline in minutes.

### 🔗 Integration

**JavaScript / Node.js**

```javascript
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/lever-job-board-scraper').call({ queries: ['spotify'], maxResultsPerQuery: 50 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);
```

**Python**

```python
from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/lever-job-board-scraper').call(run_input={'queries': ['spotify'], 'maxResultsPerQuery': 50})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)
```

**Automation (n8n / Zapier / Make):** schedule or webhook → HTTP request to the actor API → handle the JSON dataset → push to a sheet, CRM or dashboard.

### 📊 Pricing

Pay-per-event: **$0.002 per delivered role**. Empty or failed lookups are never billed. [View current pricing.](https://apify.com/foxlabs/lever-job-board-scraper)

### ❓ FAQ

**Do I need an account, login or API key?** No. This reads Lever's public postings API — no key.

**What do I search by?** A Lever company slug (`spotify`) or a job-site URL.

**How current is the data?** Every run queries the source live, so results are as fresh as the board itself.

**Can I export to CSV / Excel / JSON?** Yes — directly from the Apify dataset.

**What happens on a bad input or empty board?** You get a row with your `query` and an `error` — nothing is silently dropped, and you're not charged.

**Is scraping this legal?** It reads a public job feed the company publishes for syndication — job data, not personal data. See below.

### 🐛 Troubleshooting

- **"Lever has no public postings site named …"** — take the slug from the careers URL, or pass the full job-site URL.
- **Fewer rows than expected** — the site may have that many roles, or raise `maxResultsPerQuery`.
- **An error row** — the slug is wrong or the site is private; confirm the careers page loads publicly.

### ⚠️ Trademark

Independent, third-party tool. Not affiliated with, endorsed by or connected to Lever, Inc.. "Lever" and related marks belong to their owners and are used here for identification only.

### ⚖️ Is it legal to scrape this data?

This actor reads only publicly published job-posting data — no private or personal user data. Your results can still contain personal data (e.g. a name in a description); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify's blog post on the legality of web scraping.

### 🤝 Support & contact

- 🌐 **Website:** [data.foxlabs.com.tr](https://data.foxlabs.com.tr)
- 📧 **Email:** info@foxlabs.com.tr
- 🐛 **Issues:** open a ticket in the Actor's **Issues** tab
- 🧰 **More clean B2B data actors:** [Fox Labs on Apify](https://apify.com/foxlabs)

### Changelog

#### 0.3

- **Standby mode:** also runs as a real-time API — `GET /search?query=<query>` returns open roles as JSON, billed per role. See the Standby tab.

#### 0.2

- **Posting dates fixed.** `postedAt` was always empty (Lever's `createdAt` is an epoch-millisecond value the date parser didn't handle); it now resolves to a real date.
- **Every column carries real data.** Fields Lever never provides (`city`, `countryName`, `seniority`, `updatedAt`) are no longer emitted; `department` and `salary` remain and fill where the company publishes them.

#### 0.1

- Initial release.

# Actor input Schema

## `queries` (type: `array`):

Company slugs (`spotify`, `palantir`) or full Lever URLs (`https://jobs.lever.co/swordhealth`).

## `maxResultsPerQuery` (type: `integer`):

How many rows a single query may produce.

## `maxConcurrency` (type: `integer`):

How many queries to run at the same time. Lower it if the source throttles you.

## `includeRaw` (type: `boolean`):

Attach the source's untouched response under `raw`. Useful when you need a field this actor does not map.

## `requestDelayMs` (type: `integer`):

Politeness delay against a public source. Raise it for large runs.

## `proxyConfiguration` (type: `object`):

Optional. The Lever postings API answers datacenter IPs directly.

## Actor input object example

```json
{
  "queries": [
    "spotify",
    "palantir",
    "https://jobs.lever.co/swordhealth"
  ],
  "maxResultsPerQuery": 200,
  "maxConcurrency": 5,
  "includeRaw": false,
  "requestDelayMs": 0,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `dataset` (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 = {
    "queries": [
        "spotify",
        "palantir",
        "https://jobs.lever.co/swordhealth"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("foxlabs/lever-job-board-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 = { "queries": [
        "spotify",
        "palantir",
        "https://jobs.lever.co/swordhealth",
    ] }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,foxlabs/lever-job-board-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/oZgDoSZraaXf7ABm9/builds/9ngdZmXYFQ3VjmvuI/openapi.json