ATS Job Intelligence API (AI-Powered)

Extract and enrich job listings from ATS platforms like Greenhouse, Lever, Ashby, Workday, and Rippling using AI. Detect hiring signals, classify jobs, and generate structured insights for lead generation, job boards, and automation.

What does ATS Job Intelligence API do?

ATS Job Intelligence API is an AI-powered data extraction tool that scrapes job listings from multiple Applicant Tracking Systems (ATS) and enriches them with artificial intelligence. It automatically detects which ATS a company uses, fetches all available job data, and uses AI to provide deeper insights.

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
• AI Enrichment — Optional AI-powered analysis adds:
  • Seniority classification (Junior, Mid, Senior, Unknown)
  • Tech stack detection (programming languages, frameworks, tools)
  • Category classification (Engineering, Product, Marketing, Sales, etc.)
  • Hiring signal detection (LOW, MEDIUM, HIGH urgency)
  • AI-generated role summary
• 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 Intelligence API?

• Save hours of research — Manually finding and scraping each company's career page takes time. This actor does it in seconds.
• AI-powered insights — Go beyond raw job data with AI enrichment that classifies seniority, detects tech stacks, and identifies hiring signals.
• Consistent data — Every job comes with the same fields: title, department, location, salary, description, and AI insights.
• 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
ai	object/null	AI enrichment (when ai: true)

AI Enriched Output

When ai: true is enabled, each job includes an ai object:

{
    "job_id": "123456",
    "company_name": "Stripe",
    "job_title": "Senior Backend Engineer",
    "location": "Remote",
    "ai": {
        "seniority": "Senior",
        "tech_stack": ["Go", "PostgreSQL", "Redis", "gRPC", "Kubernetes"],
        "remote": true,
        "category": "Engineering",
        "hiring_signal": "HIGH",
        "summary": "Looking for a Senior Backend Engineer to build scalable payment infrastructure using Go and cloud-native technologies."
    }
}

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

Configuring GROQ_API_KEY

The AI enrichment uses Groq's API. The API key is already configured in the Actor — you don't need to set it up.

If you need to update the key (e.g., to use your own account), you can add it as an environment variable:

For Apify Console

1. Open your Actor in Apify Console
2. Go to Settings → Environment variables
3. Add a new variable:
   • Name: GROQ_API_KEY
   • Value: Your Groq API key (get one at https://console.groq.com/)
4. Save and re-run the actor with ai: true

For Local Development

Create a .env file in the project root:

$GROQ_API_KEY=your_groq_api_key_here

Then run the actor locally with apify run.

Note: The AI enrichment is optional. The actor works perfectly without it — just omit "ai": true from your input.

Supported ATS Platforms

ATS	API Type	Salary Data	AI Enrichment
Greenhouse	REST API	Yes (per-job, with include_salary)	Supported
Lever	REST API	Yes (optional)	Supported
Ashby	REST API	Yes (with include_description)	Supported
Workday	CXS API	Not available	Supported
Rippling	REST API	Not available	Supported

Use Cases

Lead Generation

Identify companies actively hiring in your target market. Use AI insights to prioritize prospects based on hiring signals and tech stack alignment.

Job Intelligence Platforms

Build job boards with enriched data. AI classification helps categorize roles, detect seniority levels, and identify remote opportunities automatically.

SaaS Product Features

Add job intelligence to your product. Track competitor hiring, monitor market trends, or power recruitment automation features.

Market Research

Analyze hiring patterns across industries. Use tech stack data to understand technology adoption trends and identify emerging tools.

Pricing

Pay-per-event (PPE) model:

Resource	Cost
Actor start	$0.00005 per run
Job extracted (basic)	$0.003 per job
Job enriched with AI	$0.02 per job

Example:

• Scraping 50 companies with 500 total jobs (no AI): **$1.50**
• Same run with AI enrichment enabled: ~$10.50

The AI version provides enriched job intelligence including:

• Seniority classification
• Tech stack extraction
• Hiring signals
• Structured summaries

This adds significant value compared to raw scraping and is designed for:

• Lead generation platforms
• Job intelligence products
• Automation workflows

Note: Compute costs are billed separately by Apify.

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
• The AI model used is llama-3.1-8b-instant via Groq — fast and cost-effective

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: What happens if AI enrichment fails? A: The actor gracefully continues without AI data. Jobs are still returned, just without the ai enrichment field. This ensures your pipeline doesn't break due to AI issues.

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.

Q: How does the AI work? A: The actor uses Groq's API with the llama-3.1-8b-instant model to analyze job titles and descriptions, extracting structured insights like tech stacks, seniority, and hiring signals.

Need help?

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