Scrape public ATS job boards from Greenhouse, Lever, Ashby, Recruitee, SmartRecruiters, and Personio with a single Apify Actor and export normalized job postings.
Use this actor when you need normalized jobs from multiple applicant tracking systems in one recruiting dataset.
At a glance
- Input: Public Greenhouse, Lever, Ashby, Recruitee, SmartRecruiters, or Personio board URLs or source-specific slugs.
- Output: One normalized dataset row per public job posting, with source, company, title, location, department, job URL, apply URL, dates, and optional descriptions.
- Best for: Recruiting market maps, hiring-signal lead generation, job-board refreshes, and warehouse-ready job data.
- Pricing unit: A start event per run plus one
itemevent for each saved job posting. - Login required: No. The Actor supports public ATS job boards only.
What can it do?
ATS Jobs Scraper extracts public ATS job postings from Greenhouse, Lever, Ashby, Recruitee, SmartRecruiters, and Personio job boards for recruiting, sales, market research, and job-data workflows.
It returns normalized job posting output such as title, location, department, company, apply URL, published date, and description.
- Greenhouse: Public job boards.
- Lever: Public job boards.
- Ashby: Public hosted job pages.
- Recruitee: Public careers pages.
- SmartRecruiters: Public company pages.
- Personio: Public job boards.
It saves one normalized dataset so every row has the same job fields regardless of source.
Who is it for?
- Recruiting teams: Monitor hiring activity across target companies.
- Sales teams: Find companies hiring for roles related to their product.
- Market researchers: Track demand for skills, locations, departments, or seniority levels.
- Job aggregators: Collect public postings from many employer-hosted boards.
- Data teams: Standardize Greenhouse, Lever, Ashby, Recruitee, SmartRecruiters, and Personio data before loading it into a warehouse.
Why use one combined scraper?
Many company lists contain a mix of Greenhouse, Lever, Ashby, Recruitee, SmartRecruiters, and Personio boards.
Running one combined actor is simpler than maintaining separate workflows for each ATS.
The actor detects the source from URLs when possible and also accepts source-specific slugs.
Supported sources
Greenhouse boards include URLs such as https://boards.greenhouse.io/airbnb.
Lever boards include URLs such as https://jobs.lever.co/spotify.
Ashby boards include URLs such as https://jobs.ashbyhq.com/openai.
Recruitee boards include URLs such as https://jobs.recruitee.com/example-company.
SmartRecruiters boards include URLs such as https://jobs.smartrecruiters.com/SmartRecruiters.
Personio boards include URLs such as https://egym.jobs.personio.de.
Only public, no-login job boards are supported.
What data can you extract?
Each job posting can include:
| Field | Description |
|---|---|
source |
greenhouse, lever, ashby, recruitee, smartrecruiters, or personio |
companySlug |
Board slug or company identifier |
companyName |
Public company name when available |
jobId |
Source job id |
title |
Job title |
location |
Primary location text |
department |
Department when available |
team |
Team when available |
workplaceType |
Remote / hybrid / onsite signal when available |
employmentType |
Full-time, part-time, contract, or commitment text |
compensation |
Public compensation summary when available |
jobUrl |
Public job page URL |
applyUrl |
Public apply URL when available |
description |
Plain text job description when requested |
descriptionHtml |
HTML description when requested |
publishedAt |
Public creation or published date |
updatedAt |
Public updated date |
sourceRawMetadata |
Useful source-specific extras |
scrapedAt |
Timestamp for this run |
Quick start
- Open the actor on Apify.
- Add public Greenhouse, Lever, Ashby, Recruitee, SmartRecruiters, or Personio URLs in Mixed ATS board URLs.
- Set Maximum jobs.
- Choose whether to include descriptions.
- Run the actor.
- Export the dataset as JSON, CSV, Excel, XML, or via API.
Input notes
Mixed ATS board URLs
Use startUrls when you have a mixed list of public board URLs.
The actor auto-detects Greenhouse, Lever, Ashby, Recruitee, SmartRecruiters, or Personio from each URL.
Greenhouse board tokens or URLs
Use greenhouseBoards for Greenhouse-only inputs.
Examples:
airbnbhttps://boards.greenhouse.io/airbnb
Lever company slugs or URLs
Use leverCompanies for Lever-only inputs.
Examples:
spotifyhttps://jobs.lever.co/spotify
Ashby board slugs or URLs
Use ashbyBoards for Ashby-only inputs.
Examples:
openaihttps://jobs.ashbyhq.com/openai
Recruitee company slugs or URLs
Use recruiteeCompanies for Recruitee-only inputs.
Examples:
example-companyhttps://jobs.recruitee.com/example-company
SmartRecruiters company slugs or URLs
Use smartRecruitersCompanies for SmartRecruiters-only inputs.
Examples:
SmartRecruitershttps://jobs.smartrecruiters.com/SmartRecruiters
Personio company slugs or URLs
Use personioCompanies for Personio-only inputs.
Examples:
egymhttps://egym.jobs.personio.de
Maximum jobs
maxItems limits saved jobs across all sources.
Set it low for tests and higher for production jobs.
Include descriptions
Turn on includeDescriptions when you need full job descriptions.
Turn it off when you only need listings and want faster runs.
Filtering jobs
Use departmentFilter to match department or team text.
Use locationFilter to match location text.
Use keywordFilter to match title and description text.
Filters are case-insensitive.
Example input
{
"startUrls": [
{ "url": "https://boards.greenhouse.io/airbnb" },
{ "url": "https://jobs.lever.co/spotify" },
{ "url": "https://jobs.ashbyhq.com/openai" },
{ "url": "https://jobs.recruitee.com/example-company" },
{ "url": "https://jobs.smartrecruiters.com/SmartRecruiters" },
{ "url": "https://egym.jobs.personio.de" }
],
"maxItems": 30,
"includeDescriptions": true,
"locationFilter": "remote"
}
Example output
{
"source": "lever",
"companySlug": "spotify",
"companyName": null,
"jobId": "abc123",
"title": "Data Engineer",
"location": "New York",
"department": "Engineering",
"team": "Data Platform",
"workplaceType": "hybrid",
"employmentType": "Full-time",
"compensation": null,
"jobUrl": "https://jobs.lever.co/spotify/...",
"applyUrl": "https://jobs.lever.co/spotify/.../apply",
"description": "Plain text description...",
"publishedAt": "2026-06-01T00:00:00.000Z",
"updatedAt": null,
"scrapedAt": "2026-06-24T00:00:00.000Z"
}
Tips for best results
- Use source URLs: Use public company career board URLs, not search engine result URLs.
- Confirm empty boards: If one board returns no jobs, confirm the company still uses that ATS.
- Choose specific inputs when known: Use source-specific fields when you already know the ATS type.
- Speed up count checks: Set
includeDescriptionstofalsefor fast job-count monitoring. - Enrich text workflows: Set
includeDescriptionstotruefor keyword analysis and enrichment workflows.
Integrations
Send the dataset to Google Sheets for recruiter review.
Load JSON into BigQuery, Snowflake, Postgres, or DuckDB.
Trigger the actor from Zapier or Make when a target-account list changes.
Use Apify webhooks to notify your team when new postings are scraped.
Combine with enrichment tools to classify roles, seniority, and skills.
API usage: Node.js
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/ats-jobs-scraper').call({
startUrls: [{ url: 'https://jobs.lever.co/spotify' }],
maxItems: 20
});
console.log(run.defaultDatasetId);
API usage: Python
from apify_client import ApifyClient
client = ApifyClient('YOUR_APIFY_TOKEN')
run = client.actor('fetch_cat/ats-jobs-scraper').call(run_input={
'startUrls': [{'url': 'https://boards.greenhouse.io/airbnb'}],
'maxItems': 20,
})
print(run['defaultDatasetId'])
API usage: cURL
curl -X POST 'https://api.apify.com/v2/acts/fetch_cat~ats-jobs-scraper/runs?token=YOUR_APIFY_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"startUrls":[{"url":"https://jobs.ashbyhq.com/openai"}],"maxItems":20}'
MCP and AI agents
Use the actor from Claude Desktop or Claude Code through the official Apify MCP server.
MCP tool URL format:
https://mcp.apify.com?tools=fetch_cat/ats-jobs-scraper
Claude Code setup example:
claude mcp add apify-ats-jobs "https://mcp.apify.com?tools=fetch_cat/ats-jobs-scraper"
Claude Desktop JSON config example:
{
"mcpServers": {
"apify-ats-jobs": {
"url": "https://mcp.apify.com?tools=fetch_cat/ats-jobs-scraper"
}
}
}
Example prompts:
- “Scrape these ten ATS boards and summarize remote engineering roles.”
- “Find companies hiring sales engineers in Europe.”
- “Compare new AI infrastructure job postings across this target account list.”
Public data and legality
The actor collects publicly available job postings.
It does not log in, bypass private accounts, or access employer-only candidate data.
Always review source website terms and your local laws before using scraped data.
Limitations
- Public boards only: v1 covers Greenhouse, Lever, Ashby, Recruitee, SmartRecruiters, and Personio where the tenant exposes public listings without login or private data.
- Career pages can move: Some companies customize or migrate career pages, which can cause empty results.
- Fields vary by ATS: Descriptions and metadata depend on the source system and employer configuration.
Automation and data handling
- Data freshness: Each run fetches current public data and records
scrapedAtfor traceability. - Export formats: Apify datasets can be exported as JSON, CSV, Excel, XML, RSS, or HTML.
- Scheduling: Use Apify schedules to monitor the same company list daily or weekly.
- Webhooks: Use Apify webhooks to trigger downstream workflows after each successful run.
- Storage: Results are saved to the default Apify dataset for the run.
- Privacy: The Actor does not collect private applicant data or candidate profiles.
Support
If a run fails, returns no data, or a field looks wrong, open an issue from the Actor page.
Please include the Apify run ID or run URL, input JSON, one example public URL, query, or input item, what you expected, and what the dataset returned. Small reproducible inputs make parsing or site-layout issues much faster to fix.