# Lever Jobs Scraper (`careybrown/lever-jobs-scraper`) Actor

Scrape public Lever company job boards and return normalized hiring-signal records with role family, seniority, remote signal, source health, and run summary.

- **URL**: https://apify.com/careybrown/lever-jobs-scraper.md
- **Developed by:** [Carey Brown](https://apify.com/careybrown) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 3 total users, 1 monthly users, 85.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$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 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 Listings Scraper

Lever Job Listings Scraper collects public job listings from Lever-hosted company job boards and turns them into normalized hiring-signal records.

Use it to monitor target companies, compare open roles, spot department-level hiring activity, build sales-trigger lists, support recruiting intelligence, or feed market-research dashboards without manually checking each company career page.

The current public version supports Lever public job boards only. It does not scrape LinkedIn, Indeed, Upwork, Ashby, Greenhouse, SmartRecruiters, candidate profiles, emails, phone numbers, outreach systems, or CRM records.

### What It Returns

Each job result includes:

- `companyName`
- `provider`
- `boardToken`
- `jobId`
- `jobTitle`
- `location`
- `department`
- `absoluteUrl`
- `updatedAt`
- `roleFamily`
- `seniority`
- `remoteSignal`
- `hiringIntentScore`
- `sourceUrl`
- `sourceHealth`

The Actor also writes a `RUN_SUMMARY` record with fetched and returned counts plus source-health details for each company board.

### Input

Provide one or more Lever company board tokens.

```json
{
  "companies": [
    {
      "name": "Hermeus",
      "provider": "lever",
      "boardToken": "hermeus"
    },
    {
      "name": "Ro",
      "provider": "lever",
      "boardToken": "ro"
    }
  ],
  "maxJobsPerCompany": 25,
  "includeDescriptions": false,
  "includeRawRecord": false
}
```

`boardToken` is the public Lever board slug used in URLs such as:

```text
https://api.lever.co/v0/postings/hermeus?mode=json
```

### Best-Fit Use Cases

- Sales teams watching account hiring activity
- Recruiting intelligence teams monitoring target companies
- Agencies building company hiring dashboards
- Market researchers tracking role mix and expansion signals
- RevOps and data teams creating repeatable company-job feeds

### Filters

Use keyword filters to narrow returned jobs:

- `roleKeywords`
- `locationKeywords`
- `maxJobsPerCompany`
- `includeDescriptions`
- `includeRawRecord`

### Claim Boundaries

This Actor:

- Scrapes public Lever-hosted company job boards.
- Returns normalized company job listing records.
- Includes deterministic role family, seniority, remote signal, hiring intent score, source URL, and source health.
- Supports company board token inputs.
- Supports role and location keyword filters.
- Supports capped results per company board.

This Actor does not:

- Support all ATS providers.
- Scrape LinkedIn, Indeed, Upwork, Ashby, Greenhouse, SmartRecruiters, or other non-Lever job boards.
- Provide complete company hiring coverage.
- Verify buyer intent.
- Enrich employee, candidate, email, phone, or contact data.
- Send outreach or sync records to a CRM.
- Provide legal, HR, recruiting, or compliance advice.
- Guarantee revenue, hiring accuracy, or lead quality.

### Local Development

```bash
python3 scripts/run_actor_local.py --input examples/input_default.json --storage-dir .local-storage
```

This writes Apify-style local storage under `.local-storage/datasets/default` and `.local-storage/key_value_stores/default`.

# Actor input Schema

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

Public Lever company job boards to scrape. Use the board token from jobs.lever.co/<token> or the public Lever postings API.

## `roleKeywords` (type: `array`):

Optional title, department, or description keyword filters.

## `locationKeywords` (type: `array`):

Optional location keyword filters, such as remote, New York, London, or San Francisco.

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

Maximum normalized jobs to return for each company board.

## `includeDescriptions` (type: `boolean`):

Fetch and include job description text when the source provides it.

## `includeRawRecord` (type: `boolean`):

Include the original source job object on each output record.

## Actor input object example

```json
{
  "companies": [
    {
      "name": "Hermeus",
      "provider": "lever",
      "boardToken": "hermeus"
    },
    {
      "name": "Ro",
      "provider": "lever",
      "boardToken": "ro"
    },
    {
      "name": "Lumotive",
      "provider": "lever",
      "boardToken": "lumotive"
    }
  ],
  "maxJobsPerCompany": 100,
  "includeDescriptions": false,
  "includeRawRecord": false
}
```

# Actor output Schema

## `results` (type: `string`):

Normalized Lever job listings written to the default dataset.

## `runSummary` (type: `string`):

Source health, fetched counts, returned counts, and aggregate run details.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("careybrown/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("careybrown/lever-jobs-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 '{}' |
apify call careybrown/lever-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=careybrown/lever-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/6jizbcEZlJgkWx9bM/builds/FRwX21TksSxxBpfEO/openapi.json