Universal ATS Job-Signal & Tech Stack Intelligence Monitor

Extract open jobs, monitor hiring surges, and automatically detect 250+ tech stack buying signals across Greenhouse, Lever, and Ashby job boards.

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🚀 Key Capabilities

• Universal Multi-ATS Support: Point to a company domain (stripe.com), career page URL, or board slug. The Actor auto-resolves whether they run on Greenhouse, Lever, or Ashby.
• 250+ Tech Stack Keyword Detection: Automatically parses and categorizes technologies across Cloud & Infra, Backend, Frontend, Databases, AI/Data, and Security using boundary-aware regex (zero false positives on short tokens like Go or C).
• High-Speed HTTP Engine: Direct REST API integration via native fetch without headless browser overhead. Runs execute in under 2 seconds per target with near-zero compute costs.
• LLM & Pipeline Ready: Outputs normalized JSON with clean plain-text descriptions (boilerplate HTML stripped) ready for RAG pipelines, CRM enrichment, or outbound sales triggers.
• 💼 Compensation & Salary Extraction: Automatically parses salary ranges (min, max, currency) from structured API payloads and job description regex.
• 🎯 Seniority & Role Leveling: Categorizes job seniority (Intern, Junior, Mid, Senior, Lead, Staff, Principal, Manager, Director, VP).
• 📍 Workplace Mode Detection: Identifies Remote, Hybrid, or On-site work arrangements automatically.

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💡 Top Use Cases

1. B2B Outbound & Sales Triggers: Identify when target accounts begin hiring for specific technologies (e.g., Snowflake, Kubernetes, React) to pitch relevant solutions.
2. Competitive Intelligence: Track engineering headcount growth and tech migrations across competitor product teams.
3. Automated Talent Mapping: Alert recruitment agencies immediately when new niche technical roles open up.

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📥 Input Examples

Option A: Automatic Domain Resolution

Provide the company name and main website domain; the engine resolves the underlying ATS board automatically:

{
  "targets": [
    { "companyName": "Asana", "domainOrUrl": "asana.com" },
    { "companyName": "Palantir", "domainOrUrl": "palantir.com" },
    { "companyName": "Notion", "domainOrUrl": "notion.so" }
  ],
  "keywordFilter": ["Kubernetes", "Rust"],
  "maxJobsPerTarget": 50
}


## 📤 Output Dataset Format

Every record pushed to the Apify dataset contains clean, structured metadata:

```json
[
  {
    "companyName": "Notion",
    "title": "Staff Software Engineer, Infrastructure",
    "department": "Engineering",
    "location": "San Francisco, California",
    "seniority": "Staff",
    "workplaceType": "Hybrid",
    "type": "FullTime",
    "atsPlatform": "ashby",
    "detectedTechStack": [
      "AWS",
      "Docker",
      "Kubernetes",
      "PostgreSQL",
      "TypeScript"
    ],
    "salary": {
      "min": 210000,
      "max": 260000,
      "currency": "USD",
      "rawText": "$210,000 - $260,000 USD"
    },
    "postedAt": "2026-08-24T14:44:49.699Z",
    "url": "[https://jobs.ashbyhq.com/notion/1fc309c8-da20-4ff2-84c7-8b863ece2b0a](https://jobs.ashbyhq.com/notion/1fc309c8-da20-4ff2-84c7-8b863ece2b0a)"
  }
]