Lever Jobs Scraper

Get Lever job listings as clean JSON, CSV or Excel, from the Apify API or on a schedule. No login, about $1.60 for 1,000 jobs, $4.00 with full descriptions.

What does Lever Jobs Scraper do?

Lever Jobs Scraper extracts structured data from jobs.lever.co. Collect all published job postings from companies that host their careers board on Lever, using Lever's official public Postings API, with optional keyword, location and team filters. It works as an API for jobs.lever.co data: run it from Apify Console, on a schedule, or from your own code, and get clean, typed JSON with numbers as numbers and dates in ISO 8601.

What you get

Data	16 fields per item: url, title, company, team, location, commitment, ...
Formats	JSON, CSV, Excel, HTML, or the Apify API
Price	$1.60 per 1,000 jobs, $4.00 with full descriptions, pay per result
Access	Public jobs.lever.co data only: no login, no cookies, robots.txt respected

Why use Lever Jobs Scraper?

• Recruiters and staffing agencies: see which companies are hiring, for which roles and where, and reach out first.
• Job aggregators and job boards: feed fresh, de-duplicated listings into your own board on a schedule.
• Market research and HR analytics: track hiring trends, salaries (where published), locations and remote share.
• AI agents and RAG: give an LLM live, structured job data instead of stale web pages.

Main features:

• Gets each source's results in as few requests as possible and stops at maxItems results.
• Filters: companies (companies), keywords (keywords), excludeKeywords (exclude keywords), location (location), remoteOnly (remote only), postedAfter (posted after), keyword (keyword), team (team), includeDescription (include description), onlyNewSinceLastRun (only new jobs since the last run), pageSize (page size), so you only get (and pay for) the results you need.
• Polite by default: respects robots.txt, at most maxConcurrency parallel requests and a delay between requests.
• Checks every result against field validators, so layout changes show up as clear data-quality warnings.
• Runs on the Apify platform: scheduling, API access, integrations, monitoring and datasets you can export.

What data can Lever Jobs Scraper extract?

Field	Type	Description
url	string	Public hosted URL of the posting (hostedUrl)
title	string	Job title (text field)
company	string	Company slug from the Lever board URL
team	string	Team from categories.team (may be empty)
location	string	Posting location from categories.location (may be empty)
commitment	string	Employment type such as Full-time, Part-time, Contract (may be empty)
workplaceType	string	Workplace type from the API (onsite, remote, hybrid or unspecified)
createdAt	ISO 8601 date	Posting creation time converted from epoch milliseconds to ISO 8601
salaryMin	number	Minimum of salaryRange, only when the posting provides one
salaryMax	number	Maximum of salaryRange, only when the posting provides one
salaryCurrency	string	ISO currency code of salaryRange (e.g. USD), only when present
descriptionText	string	Plain-text job description (descriptionPlain), truncated to 5000 characters
postingId	string	Lever posting ID (UUID)
department	string	Department (categories.department)
applyUrl	string	Application page URL
salaryInterval	string	Salary interval as given by Lever (e.g. per-year-salary)

How to scrape jobs.lever.co

1. Open Lever Jobs Scraper in Apify Console and go to the Input tab.
2. Enter what to scrape (see the Input section below), for example the start URLs.
3. Set Max items to the number of results you need.
4. Click Start and wait for the run to finish.
5. Download the results from the Output tab, or fetch them with the API.

How much will it cost to scrape jobs.lever.co?

This Actor is priced per result: $1.60 per 1,000 results, with no extra charge for platform usage. That is about $1.60 for 1,000 jobs, $4.00 with full descriptions: 100 results cost $0.16 and 10,000 results cost $16.00. Set a maximum cost per run and the Actor stops when it is reached. With Include description on, each job comes with its full description text and is priced $4.00 per 1,000 results (job with description). Filters (companies, keywords, location, remote only, posted after, only new jobs) run before charging: you never pay for jobs you filtered out.

Input

See the Input tab for full configuration options.

Field	Type	Required	Description
companies	array	no	Company names (e.g. Stripe) or job board URLs. Each name is looked up on Lever; names that can't be found are logged and skipped.
keywords	array	no	Keep jobs whose title (and description, when 'Include description' is on) contains any of these words. Case-insensitive.
excludeKeywords	array	no	Drop jobs whose title (and description, when on) contains any of these words.
location	string	no	Only keep postings whose location contains this text (case-insensitive).
remoteOnly	boolean	no	Keep only remote jobs (location says Remote/Anywhere, or the source marks the job as remote).
postedAfter	string	no	Keep jobs posted on or after this date (YYYY-MM-DD). Jobs without a date are kept.
keyword	string	no	Only keep postings whose title contains this text (case-insensitive).
team	string	no	Only keep postings whose team equals this value (case-insensitive).
includeDescription	boolean	no	Add the full job description text. Priced as 'job with description'.
onlyNewSinceLastRun	boolean	no	For scheduled runs: skip jobs this same input already returned. The IDs are kept in a named key-value store; delete it to start over.
maxItems	integer	no	Maximum number of items to return (0 = unlimited).
startUrls	array	no	Lever job board URLs (https://jobs.lever.co/{company}) or API URLs (https://api.lever.co/v0/postings/{company}). The company slug is extracted from each URL.
pageSize	integer	no	Number of postings requested per API call (the limit parameter). The actor keeps increasing skip until a page returns fewer items than this.
maxPages	integer	no	Maximum listing pages to follow per start URL (pagination).
maxConcurrency	integer	no	Maximum parallel requests (politeness; 1-10).
requestDelayMs	integer	no	Minimum delay between requests, in milliseconds (at least 250).
proxyType	string	no	none (direct connection), datacenter (Apify Proxy, cheapest) or residential (opt-in, billed per GB, fewer blocks). The actor never switches by itself.
proxyCountry	string	no	Two-letter country code for the proxy IP (optional).

Example input:

{
  "startUrls": [
    {
      "url": "https://jobs.lever.co/spotify"
    }
  ],
  "maxItems": 60,
  "pageSize": 20,
  "maxPages": 3,
  "maxConcurrency": 2,
  "requestDelayMs": 1000,
  "proxyType": "none",
  "includeDescription": true
}

Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. Example results from a real run:

[
  {
    "url": "https://jobs.lever.co/spotify/2193db3f-77c5-43b8-b030-8f92c9882bf1",
    "title": "Android Engineer - Experience",
    "company": "spotify",
    "team": "Experience",
    "location": "London",
    "commitment": "Permanent",
    "workplaceType": "hybrid",
    "createdAt": "2026-06-23T11:29:45.805000+00:00",
    "salaryMin": null,
    "salaryMax": null,
    "salaryCurrency": null,
    "descriptionText": "We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of t…",
    "postingId": "2193db3f-77c5-43b8-b030-8f92c9882bf1",
    "department": "Engineering",
    "applyUrl": "https://jobs.lever.co/spotify/2193db3f-77c5-43b8-b030-8f92c9882bf1/apply",
    "salaryInterval": null
  },
  {
    "url": "https://jobs.lever.co/spotify/d87833d0-fb78-4794-b45d-3fe5c8274bc8",
    "title": "Artist & Label Partnerships Contractor, Vietnam",
    "company": "spotify",
    "team": "Music Business",
    "location": "Ho Chi Minh",
    "commitment": "Short Term",
    "workplaceType": "hybrid",
    "createdAt": "2026-08-27T03:43:07.805000+00:00",
    "salaryMin": null,
    "salaryMax": null,
    "salaryCurrency": null,
    "descriptionText": "Spotify is looking for a short-term contractor for the Artist & Label Partnerships team in Vietnam. The Artist & Label Partnerships team are the face of Spotify to artists, managers, labels & distributors. Focusing on the Vietnamese music landscape, this role will serve as the point of contact for r…",
    "postingId": "d87833d0-fb78-4794-b45d-3fe5c8274bc8",
    "department": "Content",
    "applyUrl": "https://jobs.lever.co/spotify/d87833d0-fb78-4794-b45d-3fe5c8274bc8/apply",
    "salaryInterval": null
  },
  {
    "url": "https://jobs.lever.co/spotify/77526d53-3811-4336-9c0d-72f6ac0242c7",
    "title": "Artist Label Partnerships Manager, Taiwan",
    "company": "spotify",
    "team": "Music Marketing",
    "location": "Taiwan (Home Mix)",
    "commitment": "Permanent",
    "workplaceType": "onsite",
    "createdAt": "2026-04-16T13:42:42.281000+00:00",
    "salaryMin": null,
    "salaryMax": null,
    "salaryCurrency": null,
    "descriptionText": "We are looking for a strategic-minded, execution-oriented Artists & Label Partnerships Manager for Taiwan, to join Spotify’s Music team based in Taipei. In this role, you will be part of the Music team in Southeast Asia, reporting to the regional Head of Artists & Label Partnerships. You will sit at…",
    "postingId": "77526d53-3811-4336-9c0d-72f6ac0242c7",
    "department": "Markets and Subscriber Growth",
    "applyUrl": "https://jobs.lever.co/spotify/77526d53-3811-4336-9c0d-72f6ac0242c7/apply",
    "salaryInterval": null
  }
]

Integrations and API

• Apify API: start a run and get the results in one HTTP request:

curl -X POST "https://api.apify.com/v2/acts/compass_lab~lever-jobs-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" -d '{"startUrls": [{"url": "https://jobs.lever.co/spotify"}], "maxItems": 60, "pageSize": 20, "includeDescription": true}'

• Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("compass_lab/lever-jobs-scraper").call(run_input={"startUrls": [{"url": "https://jobs.lever.co/spotify"}], "maxItems": 60, "pageSize": 20, "includeDescription": true})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

• JavaScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('compass_lab/lever-jobs-scraper').call({"startUrls": [{"url": "https://jobs.lever.co/spotify"}], "maxItems": 60, "pageSize": 20, "includeDescription": true});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

• Make, Zapier, n8n, Google Sheets, webhooks: use the Apify integrations (Integrations tab) to send each run's results where you need them, or to start a run from your workflow.
• Schedules: run it hourly, daily or weekly from Apify Console (Schedules) and always have fresh jobs.

Tips and advanced options

• Keep Max items and Max pages as low as you need: fewer pages means a faster, cheaper run.
• Raise Delay between requests if the site responds slowly; keep Max concurrency low to stay polite.
• Missing values are null. Fields that often come back empty are listed in the run log as data-quality warnings.
• Companies: type company names (Stripe, Acme Inc) or paste job board URLs. Names are matched the way the platform writes them (Stripe Inc -> stripe); a company that can't be found is named in the log and skipped.
• Daily monitoring: schedule the Actor with Only new jobs since the last run on. Each run returns only jobs it hasn't returned before for the same input. The IDs are kept in a named key-value store called <actor-name>-seen-<id> (the run log prints its name); delete that store in Storage > Key-value stores, or change the input, to start over.
• Filters before charging: keywords, exclude keywords, location, remote only and posted after are applied before a job is saved, so filtered-out jobs cost nothing.

FAQ, disclaimers and support

Is it legal to scrape jobs.lever.co?

Checked 2026-10-01. Lever's public Postings API documentation (github.com/lever/postings-api) states that "all job postings in the published state are publicly viewable. These jobs may be scraped by third parties." robots.txt on api.lever.co and jobs.lever.co: Allow: / with Crawl-delay: 1 (the actor waits at least 1 s between requests). Job data only, no personal data.

Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our Actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

How many results can I get?

Up to maxItems per run (0 means no limit), as many as the source lists. Each result is one dataset item, and you are only charged for items that are saved.

Can I run it on a schedule or from my own code?

Yes. Schedule it in Apify Console (Schedules), or call it with the run-sync-get-dataset-items endpoint or the Python/JavaScript clients shown in Integrations and API above.

What are the limitations?

• Boards hosted in Lever's EU region (jobs.eu.lever.co) are supported; other hosts are not.
• A company that has left Lever, or has no open postings, returns no results.
• Salary, workplace type and team are optional in Lever, so they are null for many companies.
• Only published postings are available; no applicant data is ever collected.
• Scraping hundreds of companies in one run takes longer, because the Actor waits between requests to stay polite.
• descriptionText is capped at 5,000 characters.

Where can I get help?

Report problems or ideas on the Issues tab. To call this Actor from your own code, see the API tab.

Related actors

Job Boards Suite: the same clean, typed output across sources, so you can combine them in one dataset.

Actor	What it scrapes	Price
Breezy HR Jobs Scraper	Job listings from Breezy HR	$1.00 / 1,000
Greenhouse Jobs Scraper	Job listings from Greenhouse	$1.60 / 1,000
Python Jobs Scraper (python.org)	Job listings from Python Jobs Scraper (python.org)	$2.00 / 1,000
Recruitee Jobs Scraper	Job listings from Recruitee	$1.00 / 1,000
We Work Remotely Jobs Scraper	Job listings from We Work Remotely	$2.50 / 1,000
Working Nomads Jobs Scraper	Job listings from Working Nomads	$2.50 / 1,000