ATS Job Scraper

Extract job postings from company career pages across 5 major ATS platforms — Greenhouse, Lever, Ashby, Workday, and Rippling — with automatic ATS detection and standardized JSON output. Simply provide a list of company domains and get back structured data ready for Clay, Apollo, Instantly, or any CRM.

What does ATS Job Scraper do?

ATS Job Scraper is a powerful data extraction tool that scrapes job listings from multiple Applicant Tracking Systems (ATS) and normalizes them into a single, consistent JSON format. It automatically detects which ATS a company uses and fetches all available job data.

Key features:

• Auto-detects ATS — No need to know which system a company uses. The actor figures it out automatically.
• 5 ATS platforms supported — Greenhouse, Lever, Ashby, Workday, and Rippling
• Standardized output — Same schema regardless of ATS source
• Built for B2B workflows — Clean JSON ready for enrichment pipelines
• No browser overhead — Uses direct API calls for speed and reliability

Why use ATS Job Scraper?

• Save hours of research — Manually finding and scraping each company's career page takes time. This actor does it in seconds.
• Consistent data — Every job comes with the same fields: title, department, location, salary, description, and more.
• Scale your outreach — Process hundreds of companies in a single run for recruitment, sales intelligence, or market research.
• Works with your stack — Output integrates seamlessly with Clay, Apollo, Instantly, Zapier, Make, or any tool that consumes JSON.

How to use

1. Go to the Input tab
2. Add companies to the companies array with their domain (e.g., { "domain": "stripe.com" })
3. Optionally add careers_url if you know the career page URL for more accurate detection
4. Configure filters (keywords, location, department) if needed
5. Click Start and download your dataset

Input

Field	Required	Description
companies	Yes	Array of { name, domain, careers_url } objects
filters.keywords	No	Comma-separated keywords to filter jobs
filters.location	No	Location filter (e.g., "remote", "San Francisco")
filters.department	No	Department name to filter
filters.posted_within_days	No	Only jobs posted within N days (0 = no limit)
ats_override	No	Force a specific ATS (greenhouse, lever, ashby, workday, rippling)
include_description	No	Include full job descriptions (default: true)
include_salary	No	Include salary data where available (default: false)
max_jobs_per_company	No	Max jobs per company (default: 100)

Example Input

{
    "companies": [
        { "name": "Stripe", "domain": "stripe.com" },
        { "name": "Linear", "domain": "linear.app", "careers_url": "https://jobs.ashbyhq.com/linear" }
    ],
    "filters": {
        "keywords": "engineer,product",
        "location": "remote"
    },
    "max_jobs_per_company": 50
}

Output

Each job record includes the following fields:

Field	Type	Description
job_id	string	Unique job ID from the ATS
company_name	string	Company name
company_domain	string	Company domain
ats_platform	string	Source ATS (greenhouse, lever, ashby, workday, rippling)
job_title	string	Job title
department	string/null	Department
team	string/null	Team
location	string	Job location
remote	boolean/string	true, false, or "hybrid"
employment_type	string/null	full_time, part_time, contract, intern
seniority	string/null	junior, mid, senior, staff, director, vp
job_url	string	URL to the job posting
apply_url	string	URL to apply
description_html	string	Full job description (HTML)
description_text	string	Full job description (plain text)
salary_min	number/null	Minimum salary
salary_max	number/null	Maximum salary
salary_currency	string/null	Currency code (USD, EUR, etc.)
posted_at	string/null	Posted date (ISO 8601)
updated_at	string/null	Last updated (ISO 8601)
scraped_at	string	Timestamp when scraped

You can download the dataset in various formats: JSON, CSV, Excel, XML, or RSS.

Supported ATS Platforms

ATS	API Type	Salary Data	Posted Date
Greenhouse	REST API	Yes (per-job, with include_salary)	updated_at only
Lever	REST API	Yes (optional)	Not available
Ashby	REST API	Yes (with include_description)	Yes
Workday	CXS API	Not available	Yes
Rippling	REST API	Not available	Yes

Pricing

Pay-per-event: $0.003 per job returned

This actor uses the Apify pay-per-event pricing model. You're charged for each job successfully scraped and added to the dataset. No jobs = no charge.

Example: Scraping 50 companies with ~500 total jobs costs approximately $1.50 in actor fees.

Tips

• Provide careers_url when possible for more accurate ATS detection
• Disable include_description for faster runs when you only need metadata
• Use ats_override if you know the ATS to skip detection entirely
• Use filters.keywords to reduce the number of results and save on costs

FAQ

Q: Do I need a proxy? A: No. Greenhouse, Lever, and Ashby expose public APIs that don't require proxies. Workday and Rippling may benefit from proxies for large batches, but the actor works without them.

Q: What if ATS detection fails? A: The actor will attempt to fetch using all available connectors as fallback. You can also use ats_override to force a specific ATS.

Q: Can I scrape unlimited jobs? A: Yes, but use max_jobs_per_company to control costs and run time. The default is 100 jobs per company.

Q: Why is Lever returning 0 jobs? A: Some companies disable public job APIs. Use careers_url or try another company as a test.

Q: Is this legal? A: This actor uses publicly available APIs provided by each ATS for job listings. It respects the terms of service of each platform. For Workday and other enterprise systems, ensure you have permission before scraping.

Need help?

• Report issues on GitHub
• Check the Apify documentation
• Contact support through the Apify Console