ATS Jobs Scraper — Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee & Personio jobs API

One clean job postings feed from 7 applicant tracking systems. Paste a list of companies (careers page URLs, website domains or just names), and get every open job as normalized JSON, CSV or Excel: title, department, team, location, remote flag, employment type, salary when published, full description, apply link and publication date.

• 7 ATSs, one schema. Greenhouse scraper, Lever jobs API, Ashby jobs, Workable, SmartRecruiters, Recruitee and Personio, with identical fields for all of them.
• Auto-detection. Give stripe.com, Notion or https://jobs.lever.co/spotify: the actor finds the ATS and the board ID for you.
• Filters built in. Keywords, excluded words, locations, remote / hybrid, departments, "posted in the last N days", max jobs.
• Monitoring mode. Schedule it daily with Only new jobs and you only receive (and pay for) jobs you haven't seen before.
• Cheap and predictable. $1 per 1,000 jobs + $0.001 per company checked. No start fee, no subscription.
• Fast and light. It reads the official public job-board endpoints that power each company's careers page: no browser, no proxies, no login. 10 companies take about 20-40 seconds.

What can you use it for?

Who	What they do with it
Recruiters & sourcers	Watch the career pages of target companies and get every new engineering / sales opening the day it is posted.
Job boards & niche job sites	Fill a remote-only, climate, AI or country-specific job board with fresh, structured jobs (use Include description (HTML) to re-publish).
Sales intelligence (hiring signals)	A company opening 5 data-engineering roles is buying data tools. Feed hiring signals into your CRM, Clay or n8n workflows and time your outreach.
Investors & market researchers	Track headcount plans, new offices, salary ranges and team growth across a portfolio or a competitor set.
Academic researchers	Build labour-market datasets (skills, salaries, remote share) from primary employer sources.
Job seekers & career coaches	Get a daily list of new roles that match your keywords at your 50 dream companies.

Supported ATSs

ATS	Example careers URL	Salary	Notes
Greenhouse	boards.greenhouse.io/airbnb, job-boards.greenhouse.io/discord	Yes (pay-transparency block)	EU boards (.eu.greenhouse.io) supported
Lever	jobs.lever.co/spotify	Yes (when published)	EU boards (jobs.eu.lever.co) supported
Ashby	jobs.ashbyhq.com/linear	Yes (when published)
Workable	apply.workable.com/huggingface	—
SmartRecruiters	jobs.smartrecruiters.com/Wise	Yes (when published)	Large boards (5,000+ jobs) paginated automatically
Recruitee	bunq.recruitee.com	Yes (when published)
Personio	1komma5grad.jobs.personio.de	—	.de and .com

Quick start (under 1 minute)

1. Click Try for free and paste the companies you want to follow (careers page URLs, domains like stripe.com, plain names, or ats:slug pairs such as greenhouse:stripe).
2. Optionally add keywords, locations, remote or date filters. The pre-filled input (4 companies, up to 100 jobs) is a safe first run.
3. Click Start. A first run finishes in about 30 seconds. Download the jobs as JSON, CSV or Excel, or read them through the Apify API.

Input

You only need Companies. Mix any of these formats:

{
  "companies": [
    "https://boards.greenhouse.io/discord",
    "https://jobs.lever.co/spotify",
    "linear.app",
    "stripe.com",
    "Notion",
    "smartrecruiters:Wise",
    "https://1komma5grad.jobs.personio.de/"
  ],
  "keywords": ["engineer", "data"],
  "excludeKeywords": ["intern"],
  "locations": ["London", "Germany", "Remote"],
  "remote": "any",
  "postedWithinDays": 14,
  "maxJobs": 1000
}

Format	Example	How it is resolved
Careers / ATS URL	https://jobs.ashbyhq.com/linear	Read directly (most reliable).
Website or domain	stripe.com	The actor opens the website, follows the "Careers / Jobs" links and finds the ATS behind them. If that fails it tries the domain name on every ATS.
Company name	Notion	The name is tried on every ATS and the board with the most open jobs wins. Check detected_via: "name-guess" results.
Explicit	greenhouse:stripe, lever:palantir, ashby:openai, workable:huggingface, smartrecruiters:Wise, recruitee:bunq, personio:1komma5grad	No detection needed.

Main options:

Field	What it does
keywords / excludeKeywords	Whole-word, case-insensitive match on title, department and team (searchInDescription adds the description).
locations	Case-insensitive "contains" match on the location ("London", "Spain", "EMEA"…). Adding "Remote" also keeps every remote job.
remote	any, remote, remoteOrHybrid or notRemote.
departments	"Contains" match on department or team ("Engineering", "Sales"…).
postedWithinDays / postedAfter	Only jobs published recently (by the ATS publication date).
maxJobsPerCompany / maxJobs	Cost control. Newest jobs are kept first.
includeDescription / includeDescriptionHtml	Plain-text description (on by default) and original HTML (off by default).
onlyNew + monitorName	Monitoring mode (see below).

Output

Every job has exactly the same fields, whatever the ATS:

{
  "company": "Wise",
  "ats": "smartrecruiters",
  "job_id": "744000159127419",
  "title": "Backend Engineer - Send Core",
  "department": null,
  "team": "Engineering",
  "location": "London, England, United Kingdom",
  "remote": false,
  "workplace_type": "hybrid",
  "employment_type": "full-time",
  "salary": { "min": 68000, "max": 87500, "currency": "GBP", "period": "year", "text": null },
  "description_text": "Wise is a global technology company, building the best way to move and manage the world's money...",
  "description_html": null,
  "apply_url": "https://jobs.smartrecruiters.com/Wise/744000159127419-backend-engineer-send-core?oga=true",
  "job_url": "https://jobs.smartrecruiters.com/Wise/744000159127419-backend-engineer-send-core",
  "posted_at": "2026-11-02T12:45:08Z",
  "updated_at": null,
  "scraped_at": "2026-11-02T13:15:24Z",
  "company_slug": "Wise",
  "company_input": "smartrecruiters:Wise",
  "detected_via": "explicit"
}

Field	Description
company, ats, job_id	Company name, ATS name and the ATS's own job ID (ats + company_slug + job_id is unique).
title, department, team	As published. null when the ATS has no such field.
location, remote, workplace_type	All locations joined with ; . remote is true/false; workplace_type is remote, hybrid, onsite or null.
employment_type	Normalized: full-time, part-time, contract, internship, temporary, working-student.
salary	{min, max, currency, period, text} when the company publishes it, otherwise null.
description_text, description_html	Clean plain text / original HTML (optional).
apply_url, job_url	Application form and job page.
posted_at, updated_at, scraped_at	ISO 8601, UTC.
company_slug, company_input, detected_via	Board ID, what you typed, and how the board was found (url, website, name-guess, explicit).

A run summary (one row per company: ATS found, open jobs, matched, saved, error message) is stored as SUMMARY in the run's key-value store, so you can see at a glance which companies were not found.

Download the dataset as JSON, CSV, Excel, XML or RSS, or read it through the Apify API.

Monitoring new jobs (pay only for what's new)

1. Turn on Only new jobs and give the monitor a name (e.g. fintech-engineering).
2. Optional: turn on First run: save current jobs as seen if you want alerts only for jobs posted from now on.
3. Create a Schedule (daily or hourly) in Apify and connect an integration (Slack, email, Google Sheets, Zapier, Make, n8n, webhook).

Each run outputs only jobs that this monitor has never output before. You pay $0.001 per company checked plus $0.001 per new job: watching 100 companies every day costs about $3 a month plus the new jobs.

Pricing

Pay per event, no subscription:

Event	Price
Job saved to the dataset	$0.001 ($1 per 1,000 jobs)
Company board checked (found and read)	$0.001

Examples: 1,000 jobs from 20 companies = $1.02. 50 jobs from 5 companies = $0.055. Companies that are not found are not charged, and filtered-out jobs are not charged. Set "Maximum cost per run" in the run options: the actor stops cleanly when it is reached.

FAQ

Is this legal? Do I need an API key? No key or login is needed. The actor only reads the public, unauthenticated job-board endpoints that each ATS provides so that companies can show their published jobs on their careers pages (for example, Greenhouse documents that its Job Board GET endpoints need no authentication, and Lever notes that published postings may be read by third parties). Only published job ads are collected: no candidate data, no personal profiles. Make sure your own use of the data (e.g. re-publishing) respects each company's terms.

Why did a company return the wrong board or nothing? Name guessing can hit another company with the same name or an old board. Use the careers page URL or the explicit ats:slug form for 100 % accuracy. Check detected_via and the SUMMARY record.

Does it support Workday, iCIMS, Taleo or BambooHR? Not yet. If you need one, open an issue on the actor page.

How fresh is the data? Live. Every run reads the ATS at that moment; nothing comes from a cache or a stale database.

How many companies can I put in one run? Up to 5,000. Three companies are processed in parallel; most boards take 1-3 seconds.

Can I get jobs from all companies on Greenhouse without a list? No. The ATSs do not publish a list of their customers, so you give the companies. Tip: keep your target list in a Google Sheet and pass it through the API.

Why is salary null? The company did not publish a range in the ATS. US states with pay-transparency laws make it common on Greenhouse, Lever and Ashby boards.

Can I use it from Python, JavaScript, Make, Zapier or n8n? Yes: every Apify actor is an API. Call it with the Apify client, from Make/Zapier/n8n, or as an MCP tool from your AI agent.

Limits

• The ATS must be one of the 7 supported systems (Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio). Workday, iCIMS, Taleo and BambooHR are not supported yet.
• A plain company name is guessed and can match the wrong board. Use the careers URL or ats:slug for exact results.
• Salary appears only when the company published it in the ATS. Otherwise salary is null.
• You provide the company list: the ATSs do not publish a directory of their customers.

Use it from code (API)

Every Apify Actor is also an API. Replace <YOUR_API_TOKEN> with the token from your Apify account (Settings, API & Integrations).

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('phantom-x64/ats-jobs-scraper').call({
    "companies": [
      "https://jobs.lever.co/spotify",
      "ashby:notion"
    ],
    "keywords": [
      "engineer"
    ],
    "maxJobs": 50
  });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient('<YOUR_API_TOKEN>')
run = client.actor('phantom-x64/ats-jobs-scraper').call(run_input={
      "companies": [
        "https://jobs.lever.co/spotify",
        "ashby:notion"
      ],
      "keywords": [
        "engineer"
      ],
      "maxJobs": 50
    })
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

You can also start it from Make, Zapier, n8n or Google Sheets with the Apify integrations, schedule it, or call it as a tool from an AI agent through the Apify MCP server.

Support and feedback

Found a bug, need a new field or another source? Open an issue in the Issues tab of this Actor page. Reports with a run link are fixed fastest. If it saves you time, a short review on the Store page helps other people find it.

Keywords

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