Greenhouse, Lever, Workday and Ashby jobs scraper: how to get job postings as JSON/CSV (API, Python, no code)

Q: How do I use the Greenhouse, Lever, Workday and Ashby jobs scraper from Python?

Install the apify-client package, create a client with your Apify API token, call the Actor v0iddo/ats-jobs-scraper with an input like the one above, and read the rows from the run's dataset. The Python snippet above does exactly that.

Q: How do I limit the number of results?

Set the maxItems input field to the number of results you need; the run stops there, so it also caps the cost of one run. You can also set a maximum cost for a run in the run options on Apify, and the run stops when it is reached.

Collect public job postings from Greenhouse, Lever, Workday, Workable, Ashby, Recruitee, Personio and BambooHR with one consistent schema. This guide shows the output fields, a working input, and Python, JavaScript and cURL code for the Actor v0iddo/ats-jobs-scraper on Apify.

Open Greenhouse, Lever, Workday and Ashby jobs scraper on Apify

What data you get

One row per result. Every row can be downloaded as JSON, CSV, Excel or HTML, or read through the API.

Field	Label	Type	Example
`ats`	System	text	greenhouse
`company`	Company	text	discord
`title`	Title	text	Commercial Policy Lead
`department`	Department	text	Policy
`location`	Location	text	San Francisco Bay Area
`remote`	Remote	true/false	true
`workplaceType`	Workplace	text
`employmentType`	Employment	text
`postedAt`	Posted	date	2026-09-15T16:52:11Z
`salaryMin`	Pay from	number	192000
`salaryMax`	Pay to	number	216000
`salaryCurrency`	Currency	text	USD
`url`	Link	URL	https://job-boards.greenhouse.io/discord/jobs/8806482002
`jobId`		text	8806482002
`updatedAt`		text	2026-10-21T00:27:20Z
`applyUrl`		text	https://job-boards.greenhouse.io/discord/jobs/8806482002
`salaryInterval`		text	year
`descriptionText`		text	Discord has a highly engaged community of millions of daily active ...
`scrapedAt`		text	2026-10-26T04:26:49Z

Input example

This is the input that is pre-filled on the Actor page. Change the values for your own run.

{
  "companies": [
    "https://job-boards.greenhouse.io/discord",
    "https://jobs.lever.co/spotify",
    "https://apply.workable.com/huggingface"
  ],
  "includeDescription": true,
  "maxItems": 50,
  "maxJobsPerCompany": 20
}

Input field	Type	What it does
`companies` (required)	array	One company per line, at most 200.
`titleKeywords`	array	Optional. Only postings whose title contains at least one of these words or phrases are returned.
`locationContains`	string	Optional text such as Berlin, Remote, Canada or US.
`remoteOnly`	boolean	Return only postings that are marked remote or say remote in their location.
`postedWithinDays`	integer	Optional. Skip postings that were published longer ago than this.
`includeDescription`	boolean	Add the job description as plain text.
`maxJobsPerCompany`	integer	Optional. Stop reading a company after this many matching postings and go on to the next one, so a large employer first in the list does not fill the whole run.
`maxItems`	integer	The run stops after this many result rows.

Output sample

Real rows from a run of the Actor. Fields that name people are left out of the sample.

[
  {
    "ats": "greenhouse",
    "company": "discord",
    "jobId": "8806482002",
    "title": "Commercial Policy Lead",
    "department": "Policy",
    "location": "San Francisco Bay Area",
    "remote": true,
    "postedAt": "2026-09-15T16:52:11Z",
    "updatedAt": "2026-10-21T00:27:20Z",
    "url": "https://job-boards.greenhouse.io/discord/jobs/8806482002",
    "applyUrl": "https://job-boards.greenhouse.io/discord/jobs/8806482002",
    "salaryMin": 192000,
    "salaryMax": 216000,
    "salaryCurrency": "USD",
    "salaryInterval": "year",
    "descriptionText": "Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one...",
    "scrapedAt": "2026-10-26T04:26:49Z"
  },
  {
    "ats": "greenhouse",
    "company": "discord",
    "jobId": "8840756002",
    "title": "Data Scientist - Client Platform",
    "department": "Data Science & Engineering",
    "location": "San Francisco Bay Area",
    "postedAt": "2026-09-24T21:26:49Z",
    "updatedAt": "2026-10-21T00:14:41Z",
    "url": "https://job-boards.greenhouse.io/discord/jobs/8840756002",
    "applyUrl": "https://job-boards.greenhouse.io/discord/jobs/8840756002",
    "salaryMin": 160000,
    "salaryMax": 200000,
    "salaryCurrency": "USD",
    "salaryInterval": "year",
    "descriptionText": "Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one...",
    "scrapedAt": "2026-10-26T04:26:49Z"
  }
]

Code: Python, JavaScript and cURL

Get your API token in Apify Console under Settings, then Integrations. The Actor id is v0iddo/ats-jobs-scraper.

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {'companies': ['https://job-boards.greenhouse.io/discord',
               'https://jobs.lever.co/spotify',
               'https://apply.workable.com/huggingface'],
 'includeDescription': True,
 'maxItems': 50,
 'maxJobsPerCompany': 20}

run = client.actor("v0iddo/ats-jobs-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const input = {
  "companies": [
    "https://job-boards.greenhouse.io/discord",
    "https://jobs.lever.co/spotify",
    "https://apply.workable.com/huggingface"
  ],
  "includeDescription": true,
  "maxItems": 50,
  "maxJobsPerCompany": 20
};

const run = await client.actor('v0iddo/ats-jobs-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL

curl -X POST "https://api.apify.com/v2/acts/v0iddo~ats-jobs-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["https://job-boards.greenhouse.io/discord", "https://jobs.lever.co/spotify", "https://apply.workable.com/huggingface"], "includeDescription": true, "maxItems": 50, "maxJobsPerCompany": 20}'

Ready-to-run example scripts: example repository on GitHub.

Price

$1.20 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.84 per 1,000. See the pricing tab for your plan. A new Apify account gets $5 of platform credit every month.

Good to know

Give up to 200 companies. A careers page link is enough: the system is detected from the address. Supported: Greenhouse, Lever (also the EU instance), Workday, Workable, Ashby, Recruitee, Personio...
Every row has the same fields for every system. A field the source does not publish is empty. The company field is the board name from the careers link (for example discord), the same for all rows...
Remote is true when the posting is marked remote or says remote in its location, false when it is marked hybrid or on site, and empty when unknown. Workplace is remote, hybrid or onsite when the...
Pay is returned only where the posting publishes it (Greenhouse, Lever, Recruitee, Ashby, Workday). Interval is year, month, week, day or hour. Ashby and Workday show pay as text, so the first...

FAQ

What data does the Greenhouse, Lever, Workday and Ashby jobs scraper return?

Each result is one row in an Apify dataset. Fields include ats, company, title, department, location, remote, workplaceType, employmentType, and more. The table above shows every field with an example value.

How do I use the Greenhouse, Lever, Workday and Ashby jobs scraper from Python?

Install the apify-client package, create a client with your Apify API token, call the Actor v0iddo/ats-jobs-scraper with an input like the one above, and read the rows from the run's dataset. The Python snippet above does exactly that.

Can I use it without writing code?

Yes. Open the Actor page on Apify, fill in the input form (an example is already filled in), press Start, and download the results as JSON, CSV, Excel or HTML. You can also schedule runs there.

How much does it cost?

$1.20 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.84 per 1,000. A new Apify account gets $5 of platform credit every month.

How do I limit the number of results?

Set the maxItems input field to the number of results you need; the run stops there, so it also caps the cost of one run. You can also set a maximum cost for a run in the run options on Apify, and the run stops when it is reached.

Can I send the results to Google Sheets, Make, Zapier or n8n?

Yes. Apify datasets connect to Google Sheets, Slack, Make, Zapier and n8n, and a webhook can call your own service when a run finishes. You can also export the dataset as JSON, CSV or Excel.

Open Greenhouse, Lever, Workday and Ashby jobs scraper on Apify

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