Careers Page Jobs Scraper - Greenhouse, Lever, Workday

Careers Page Jobs Scraper by ScraperCompany turns a company's careers page into its complete list of open jobs. Paste the careers page itself or its job-board link: the Actor finds which applicant-tracking system the company uses (Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Workday, Recruitee or Personio) and reads that board, so you get every opening, not just what one page shows. Each job comes normalized with title, department, team, locations, workplace type, employment type, posted and updated dates, pay range (when published), job link and apply link, and optionally the full description. Filter by title, location, department or remote. Detect job board mode only reports which system and board a page uses. Pricing is pay-per-event: $0.004 per company board and $0.002 per detection; failed requests and boards with no matching jobs are not charged.

Proxies, retries and anti-bot handling are built in, so you don't need your own proxies or an API key. Start a run, get structured JSON.

What can this Careers page scraper do?

• One input for every supported board: paste a careers page or a Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Workday, Recruitee or Personio link.
• Complete list per company, up to 1,000 jobs per page, with the board's total count and a truncated flag.
• Normalized fields across systems: title, department, team, locations, workplace and employment type, dates, pay range, links.
• Filters: title contains, location contains, department contains, remote only; optional descriptions.
• Detect job board mode: the system, board name and board link behind a careers page, plus other boards it links.
• Batch many companies in one run; boards with no matching jobs are free.

Modes

Mode	What it returns	Price per request
jobs	All open jobs of a company: title, department, team, locations, workplace type, employment type, dates, pay range, apply link	$0.004
detect	The applicant-tracking system, board name and board URL behind a careers page, plus other boards it links	$0.002

Use cases for Careers page data

• Recruiters and sourcers: Track every opening at your target companies, straight from their own job boards.
• Sales and investors: Spot which companies are growing a team, and where, from their live job counts.
• Job boards and aggregators: Import complete, normalized openings from many companies in one format.

What Careers page data can you extract?

Field	Description
company.name / ats / board / board_url	The company and the board that was read
jobs[].job_id / title / department / team	The job
jobs[].locations / workplace_type / employment_type	Where and how
jobs[].posted_at / updated_at / posted_text	Dates as the board publishes them
jobs[].compensation.min / max / currency / interval / text	Pay range, when the board publishes one
jobs[].url / apply_url	Job and apply links
jobs[].description_text	Description, with Include job descriptions on
total / returned / truncated	Board total before filters, jobs returned, whether more matched
candidates[] (Detect)	Other boards the careers page links

Every dataset item also carries input (the exact request that was sent), request_id (quote it to support), billed and scraped_at.

How to scrape company careers pages

1. Open Careers Page Jobs Scraper in Apify Console and go to the Input tab.
2. Paste careers pages or job-board links, one company per line. Add filters to keep only matching jobs, or switch Mode to Detect job board.
3. Adjust the options if needed. Dates accept an exact date (2026-12-01) or a relative one (30 days from today), so saved tasks and schedules never go stale.
4. Click Start and wait for the run to finish.
5. Download the results from the Output tab as JSON, CSV, Excel or HTML, or fetch them with the Apify API.

Input example

This is the default input; running the Actor without changes uses it.

{
  "mode": "jobs",
  "urls": [
    "https://boards.greenhouse.io/airbnb"
  ],
  "includeErrors": true,
  "maxConcurrency": 3,
  "maxRetries": 2
}

Output example

One dataset item per request (trimmed here; real items contain every field the API returns):

{
  "mode": "jobs",
  "endpoint": "/v1/careers/jobs",
  "input": {
    "url": "https://www.figma.com/careers/",
    "q": "engineer",
    "limit": 50
  },
  "company": {
    "ats": "greenhouse",
    "board": "figma",
    "board_url": "https://boards.greenhouse.io/figma",
    "name": "Figma"
  },
  "jobs": [
    {
      "ats": "greenhouse",
      "compensation": {
        "currency": "USD",
        "max": 376000,
        "min": 153000,
        "text": "Annual Base Salary Range:"
      },
      "department": "Engineering",
      "job_id": "6201407004",
      "locations": [
        "San Francisco, CA • New York, NY • United States"
      ],
      "posted_at": "2026-09-21T12:13:46-04:00",
      "title": "Data Platform Engineer",
      "updated_at": "2026-09-21T16:21:17-04:00",
      "url": "https://boards.greenhouse.io/figma/jobs/6201407004?gh_jid=6201407004"
    },
    {
      "ats": "greenhouse",
      "compensation": {
        "currency": "USD",
        "max": 376000,
        "min": 153000,
        "text": "Annual Base Salary Range:"
      },
      "department": "Engineering",
      "job_id": "6158162004",
      "locations": [
        "San Francisco, CA • New York, NY • United States"
      ],
      "posted_at": "2026-08-25T17:42:20-04:00",
      "title": "Forward Deployed Engineer",
      "updated_at": "2026-08-27T13:21:25-04:00",
      "url": "https://boards.greenhouse.io/figma/jobs/6158162004?gh_jid=6158162004"
    }
  ],
  "meta": {
    "elapsed_s": 0.512,
    "matched": 31,
    "pages_fetched": 1,
    "scanned": 155,
    "source": "greenhouse",
    "upstream_requests": 1
  },
  "returned": 2,
  "search_parameters": {
    "engine": "careers_jobs",
    "include_description": false,
    "limit": 2,
    "q": "engineer",
    "remote_only": false,
    "url": "https://www.figma.com/careers/"
  },
  "total": 155,
  "truncated": true,
  "request_id": "req_3f9c0d6e2b8a4c1f9e7d5b3a1c0e8f6d",
  "billed": true,
  "scraped_at": "2026-10-01T14:03:27.512Z"
}

A request that fails is saved with an error message instead (turn off Include failed requests to skip those). Failed requests are never charged.

How much does it cost to scrape company careers pages?

This Actor uses pay-per-event pricing: you pay for successful API requests, not for compute time.

Event	Charged when	Price	Per 1,000
board-jobs	Every open job (up to the limit) from one company's careers page or job board. Boards with no matching jobs are free.	$0.004	$4.00
board-detection	Which applicant-tracking system and job board one careers page uses (no jobs fetched).	$0.002	$2.00

Paid Apify plans pay less: board-jobs up to 12% off (Bronze 5%, more on higher plans). The Pricing tab shows the price on your plan.

For example, 1,000 requests in the default mode cost $4.00.

• Failed requests (errors, invalid input, blocked upstream after retries) are free.
• Requests where the source returns nothing at all (no results, nothing priced) are saved but not charged.
• Set Maximum cost per run when you start a run and the Actor stops cleanly before going over it.

FAQ

Do I need proxies or an API key?

No. Proxy rotation, retries and anti-bot handling are built in, and the Actor is ready to run as is. You only pay the per-event prices above.

Which careers pages work?

Pages of companies that use Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Workday, Recruitee or Personio, whether you paste the company's own careers page or the board link. A page whose board is not one of these fails with a message listing the supported systems, and is not charged.

Is one request one company?

Yes. Each careers page is one request and one charge, however many jobs the company has (up to the max jobs limit, 1,000 at most).

Why is the pay range empty for some jobs?

It is filled only when the company publishes a range on its board.

Is it legal to scrape company careers pages?

The Actor collects publicly available information that anyone can see without logging in. You are responsible for how you use the results: respect the source site's terms, copyright and privacy law (such as GDPR) and do not collect personal data without a lawful basis. If in doubt, ask a lawyer.

What happens when a request is blocked or rate-limited?

Rate limits (HTTP 429) and temporary errors (5xx) are retried automatically with exponential backoff, respecting Retry-After. If a request still fails it is saved with the error message and not charged, and the rest of the batch keeps going. A run only fails when every request failed.

Why did a request return an error?

Read the error field: validation problems (for example a malformed date or an unknown id) are reported exactly as the API sees them. Fix the input and run again; failed requests cost nothing.

How many requests can I run at once?

Any number per run. The Actor sends up to 3 requests in parallel by default (change it under Run options); larger batches simply take longer.

Use it from your code

Call the Actor from any language through the Apify API. With the JavaScript client (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('scrapercompany/careers-page-jobs-scraper').call({
    "mode": "jobs",
    "urls": [
        "https://boards.greenhouse.io/airbnb"
    ]
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With Python (pip install apify-client):

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("scrapercompany/careers-page-jobs-scraper").call(run_input={
    "mode": "jobs",
    "urls": ["https://boards.greenhouse.io/airbnb"],
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

You can also schedule runs, chain them with webhooks, or connect them to Make, Zapier, n8n, Google Sheets and other integrations from the Integrations tab.

Related scrapers

• LinkedIn Jobs Scraper: job searches across companies on LinkedIn
• Indeed Scraper: job searches on Indeed

Support

Questions, a field you need, or a site that stopped working? Open an issue on the Issues tab. Include the request_id from the dataset item so we can trace the request.