Multi-ATS Tech Hiring Signals & Compensation Intel (Greenhouse, Lever, Ashby)

Turn public job boards from Greenhouse, Lever (US & EU), and Ashby into actionable B2B buying signals, 120+ tech-stack intelligence, seniority/department classification, and salary benchmarks.

Built for B2B Sales / RevOps / GTM Engineers (Clay, HubSpot, Apollo), technical recruiters, and VC / market analysts, this Actor queries the official public posting APIs directly over 100% pure HTTP — no headless browser, zero proxy required, and a minimal 128–256 MB RAM footprint.

---

Key Capabilities & GTM Intelligence (V2)

• Automatic 120+ Tech Stack Detection (fullTechStack & techCategories): Out of the box — even when techKeywords is left empty — every posting is scanned against a curated dictionary of 120+ B2B technologies across 7 categories:
  • ai_ml (OpenAI, Anthropic, LangChain, LlamaIndex, RAG, PyTorch, vLLM, Hugging Face, Pinecone, Qdrant...)
  • data_analytics (Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, Dagster, Fivetran, Kafka, Looker, Tableau...)
  • cloud_devops (AWS, GCP, Azure, Kubernetes, Docker, Terraform, Datadog, Grafana, OpenTelemetry, GitHub Actions, ArgoCD...)
  • databases_storage (PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, ClickHouse, DynamoDB, Supabase...)
  • languages_frameworks (TypeScript, Python, Rust, Go, Java, C++, C#, .NET, React, Next.js, Node.js, FastAPI, GraphQL...)
  • crm_gtm_revops (Salesforce, HubSpot, Clay, Gong, Outreach, Salesloft, Apollo, ZoomInfo, 6sense, Segment, Braze, Stripe, NetSuite, Workday...)
  • security_compliance (Okta, Auth0, CrowdStrike, Snyk, Wiz, Vanta, Drata, SOC 2, ISO 27001, HIPAA, GDPR...)
• Synonym & Context-Aware Keyword Matching (detectedTechKeywords):
  • Automatically expands common aliases (Kubernetes ↔ K8s, PostgreSQL ↔ Postgres, Salesforce ↔ SFDC, AWS ↔ Amazon Web Services, GCP ↔ Google Cloud, SOC 2 ↔ SOC2).
  • Context-sensitive disambiguation for ambiguous names (Go matches Golang or Go alongside technical terms, never English "go to"; Clay, Gong, Outreach, Segment, Linear, Spark require proper capitalization or GTM/data context).
• High-Intent B2B Buying Signals (buyingSignals): Automatically tags postings with actionable GTM triggers:
  • leadership_hire (new CTO, VP, Head of, Director)
  • founding_or_first_hire ("founding engineer", "first data hire", "0 to 1", "greenfield")
  • migration_or_modernization ("migrate from/to", "legacy system", "cloud migration", "re-architecting")
  • ai_transformation (LLM, RAG, agentic workflows, fine-tuning)
  • revops_gtm_scaling (RevOps / GTM Systems expansion)
  • security_compliance_push (SOC 2, ISO 27001, HIPAA, Vanta/Drata rollouts)
  • team_expansion ("rapidly growing team", "scaling our team")
• Normalized Seniority (seniority) & Department (departmentCategory):
  • Classifies every job title into 12 seniority levels (c-level, vp, director, head, principal, staff, lead, manager, senior, mid, junior, intern).
  • Maps raw ATS department strings into 12 canonical B2B categories (Engineering, Data & AI, Sales & GTM, Revenue Operations, Security & IT, Product & Design, Customer Success, Marketing, People & Talent, Finance & Legal, Operations, Other).
• Company Domain Extraction (companyDomain): Extracts clean company root domains (stripe.com, dust.tt) from custom career URLs and Ashby's organization metadata for immediate table joins in Clay, HubSpot, Apollo, or Salesforce.
• Compensation Benchmarking (compensation):
  • Extracts structured pay bands from Greenhouse (pay_input_ranges & .pay-range), Lever (salaryRange), and Ashby (compensation), plus a conservative free-text salary parser.
  • Preserves multi-zone/multi-tier salary bands in compensation.allRanges, computes annualizedMin & annualizedMax, and flags offersEquity (true/false) and offersBonus (true/false).
• Smart Delta Mode & Job Lifecycle Tracking (onlyNew):
  • Persists job IDs and content fingerprints (title + location + salary) in the named Key-Value Store multi-ats-hiring-signals-state.
  • Re-emits jobs whose salary band or title changed (changeStatus: "updated").
  • Diffs each board against its previous snapshot to count closed/filled positions since the last run (closedJobsSinceLastRun in SUMMARY).

---

Supported ATS & Public Endpoints

ATS	Public Endpoints Integrated	Special Capabilities
Greenhouse	GET https://boards-api.greenhouse.io/v1/boards/{board_token}/jobs?content=true&pay_transparency=true GET https://boards-api.greenhouse.io/v1/boards/{board_token}/jobs/{job_id}?questions=true	Extracts hidden locations/workplace types from metadata, parses multi-zone pay_input_ranges (cents) and .pay-range HTML blocks, and fetches application questions on demand.
Lever (US & EU)	GET https://api.lever.co/v0/postings/{site}?mode=json GET https://api.eu.lever.co/v0/postings/{site}?mode=json	Automatic US → EU instance fallback, full pagination (limit=100 & skip) for large boards (>20 jobs), salaryRange + salaryDescriptionPlain extraction, and HTML apply-form card parsing.
Ashby	GET https://api.ashbyhq.com/posting-api/job-board/{job_board_name}?includeCompensation=true	Structured compensation parsing (Salary + Equity + Bonus components & tiers), unlisted job filtering, plus company display name, publicWebsite (companyDomain), and application form resolution via Ashby's public GraphQL endpoint.

---

Flexible Target Formats & Parallel Auto-Detection

Pass any mix of the following in targets:

1. Raw company slug / board token (ATS is automatically detected by probing Greenhouse, Ashby, Lever US, and Lever EU in parallel):
   • "stripe", "openai", "dust", "palantir"
2. Prefixed slug (skips probing when you already know the ATS):
   • "greenhouse:stripe", "gh:airbnb", "lever:palantir", "lever-eu:acme", "ashby:dust"
3. Full ATS career board URL (ATS, region, and token are parsed automatically):
   • https://boards.greenhouse.io/stripe
   • https://job-boards.eu.greenhouse.io/acme
   • https://jobs.lever.co/palantir
   • https://jobs.eu.lever.co/acme
   • https://jobs.ashbyhq.com/dust
4. Company careers page URL (fetched once and inspected for an embedded Greenhouse, Lever, or Ashby board):
   • https://www.company.com/careers
5. Structured target object (via API):
   • { "url": "https://boards.greenhouse.io/stripe", "company": "Stripe" }
   • { "ats": "lever", "token": "palantir", "region": "us", "company": "Palantir Technologies" }

---

Unified Output Schema (Dataset Item)

{
  "jobId": "gh-1234567",
  "ats": "greenhouse",
  "company": "Stripe",
  "companyToken": "stripe",
  "companyDomain": "stripe.com",
  "title": "Senior Solutions Architect - Data",
  "seniority": "senior",
  "department": "Engineering",
  "departmentCategory": "Engineering",
  "location": "Paris, France (Hybrid)",
  "isRemote": false,
  "publishedAt": "2026-10-15T10:30:00.000Z",
  "url": "https://boards.greenhouse.io/stripe/jobs/1234567",
  "compensation": {
    "min": 85000,
    "max": 110000,
    "currency": "EUR",
    "period": "yearly",
    "annualizedMin": 85000,
    "annualizedMax": 110000,
    "offersEquity": true,
    "offersBonus": true,
    "summary": "Zone A - Paris",
    "source": "ats_structured"
  },
  "detectedTechKeywords": ["Snowflake", "Python"],
  "fullTechStack": ["Snowflake", "dbt", "Python", "AWS", "Terraform"],
  "techCategories": {
    "data_analytics": ["Snowflake", "dbt"],
    "cloud_devops": ["AWS", "Terraform"],
    "languages_frameworks": ["Python"]
  },
  "buyingSignals": ["migration_or_modernization"],
  "questions": [],
  "atsJobId": "1234567",
  "workplaceType": "hybrid",
  "city": "Paris",
  "region": null,
  "country": "France",
  "countryCode": "FR",
  "allLocations": ["Paris, France"],
  "employmentType": "Full-time",
  "updatedAt": "2026-10-16T08:15:00.000Z",
  "applyUrl": "https://boards.greenhouse.io/stripe/jobs/1234567",
  "requisitionId": "JR-9941",
  "changeStatus": "new",
  "scrapedAt": "2026-10-19T20:00:00.000Z"
}

---

Local Development & Testing

# Install dependencies
npm install

# Validate all Apify schemas (.actor/*.json)
apify validate-schema

# Run linter and unit/integration test suite
npm run lint
npm test

# Run the Actor locally
apify run