
Lever Job Board Scraper
hipersoft/lever-scraper
Scrape all open jobs from any company's Lever board: title, team, department, location, commitment, workplace type, description and apply link. Bulk companies.
Total users
4Monthly users
2Total runs
96Per job scraped
$0.0017Last rebuilt
Oct 28, 2026Overview
Scrape every open job from any company that hosts its careers page on Lever — title, team, department, location, commitment, workplace type, full description and apply link — into clean JSON, CSV, Excel or XML. Pass one or many companies and get a complete, deduplicated feed. Fast and reliable.

What does Lever Job Board Scraper do?
The Lever Job Board Scraper collects all open roles from the companies you list and exports each job as a structured record. Pass one or many Lever tokens or board URLs, choose whether to include full descriptions, and it returns a clean, deduplicated feed of jobs with titles, teams, departments, locations, commitment, workplace type and apply links.
What data can you scrape from Lever?
| Data | Fields |
|---|---|
| 🏢 Company | company token |
| 📋 Job | job ID, title, department, team, level |
| 📍 Location | location, all locations, country, workplace type |
| 🕒 Terms | commitment, created date |
| 🔗 Apply | apply URL, hosted posting URL |
| 📝 Content | full description (plain text) and original HTML |
Use cases
- Job aggregators — feed thousands of live roles from company career pages into your board.
- Recruiting intelligence — track who's hiring, for which teams, and where.
- Hiring-trend analysis — monitor headcount growth by department, team and location over time.
- Sales & lead lists — spot companies expanding into a function you sell to.
- ATS / market monitoring — watch competitor and target-account hiring in near real time.
- Talent sourcing — build role-specific feeds for candidates and recruiters.
How to scrape Lever data
- Add the Lever Job Board Scraper to your Apify account.
- Add one or many companies — a Lever token (the slug in
jobs.lever.co/<token>) or a full board URL. - Toggle includeContent and set maxJobsPerCompany to control depth.
- Click Run and watch jobs stream into the dataset.
- Export to JSON, CSV, Excel or XML, or pull them through the Apify API.
Input
List the companies you want, choose whether to include full descriptions, and cap jobs per company if needed.
Example input
{
"companies": ["spotify", "https://jobs.lever.co/plaid"],
"includeContent": true,
"maxJobsPerCompany": 0
}
companies accepts a Lever token (the slug in jobs.lever.co/<token>) or a full board URL.
| Field | Description |
|---|---|
companies |
Lever company tokens or board URLs to scrape. |
includeContent |
Include each job's full description (text + HTML). Default true. |
maxJobsPerCompany |
Cap jobs per company. 0 = all. |
Output
Each job is one clean record:
{
"company": "spotify",
"jobId": "890b2c0f-f46f-4a4b-…",
"title": "Advertiser Solutions Vendor Lead",
"department": "Advertising",
"team": "Advertising Sales",
"location": "London",
"allLocations": ["London", "Stockholm"],
"commitment": "Permanent",
"level": "Senior",
"workplaceType": "hybrid",
"country": "GB",
"createdAt": "2026-07-20T10:00:00.000Z",
"applyUrl": "https://jobs.lever.co/spotify/890b2c0f…/apply",
"hostedUrl": "https://jobs.lever.co/spotify/890b2c0f…",
"description": "About the role…",
"descriptionHtml": "<div>About the role…</div>"
}

Output schema
| Field | Type | Description |
|---|---|---|
company |
string | Lever company token the job came from. |
jobId |
string | Unique Lever job posting ID. |
title |
string | Job title. |
department |
string | Department the role belongs to. |
team |
string | Team within the department. |
location |
string | Primary job location. |
allLocations |
array | All locations the role is open in. |
commitment |
string | Employment commitment, e.g. Permanent, Contract. |
level |
string | Seniority level of the role. |
workplaceType |
string | Workplace type, e.g. remote, hybrid, on-site. |
country |
string | Country code for the primary location. |
createdAt |
string (ISO date) | When the posting was created. |
applyUrl |
string (URL) | Direct link to apply for the role. |
hostedUrl |
string (URL) | Lever-hosted posting page URL. |
description |
string | Full job description as plain text. |
descriptionHtml |
string | Original job description HTML. |
Need more job data?
- Greenhouse Job Board Scraper — jobs from Greenhouse boards.
- Ashby Job Board Scraper — jobs from Ashby boards.
- RemoteOK Scraper — remote job listings.
- Indeed Scraper — jobs across employers.
FAQ
Where do I find a company's Lever token?
It's the slug in the careers URL — jobs.lever.co/spotify → spotify. A full URL works too.
How many companies can I scrape?
As many as you like — add them all to companies and each is fetched in turn.
Do I need any setup or a login? No setup and no login. Just add the companies you want and run.
How does billing work? You pay only per job you get — no subscription. Our per-item price floors 20% below the cheapest comparable scraper.
What export formats are supported? JSON, CSV, Excel and XML, plus the Apify API for programmatic access.
Can I skip the long descriptions?
Yes — set includeContent to false for a lighter, faster run that omits the description text and HTML.
How fresh is the data?
Each run fetches live postings, so results reflect each board at the moment you run the actor. The createdAt field timestamps every job.
Is it legal? The actor returns only publicly available job postings. You are responsible for how you use the data.
Can I connect it to my other tools? The Lever Job Board Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.
Notes
Original clean-room implementation. Returns only public job-posting data; you are responsible for how you use it. Not affiliated with or endorsed by Lever.
Input
| Field | Type | Description |
|---|---|---|
companies requiredCompanies | array | Lever company tokens or board URLs — e.g. "spotify" or https://jobs.lever.co/spotify. |
includeContentInclude full description | boolean | Include each job's full description (plain text + HTML). Default: true |
maxJobsPerCompanyMax jobs per company | integer | Limit jobs per company. 0 = all. Default: 0 |
API
curl -X POST "https://api.apify.com/v2/acts/hipersoft~lever-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"companies": [
"spotify"
]
}'from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/lever-scraper").call(run_input={
"companies": [
"spotify"
]
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/lever-scraper').call({
"companies": [
"spotify"
]
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);Pricing
| Event | Price | Paid plans from |
|---|---|---|
| Job scraped One job posting scraped. | $0.0017 | $0.0008 |
| API request One company board page fetched. | $0.0005 | $0.0005 |
You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.
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