DACH Tech-Stack Hiring Signal Monitor

Your sales team spends hours manually checking which DACH companies are evaluating your competitors' technology. This Actor does it automatically — and turns job posting data into actionable B2B buying signals.

The insight: When a company posts 5+ roles requiring Salesforce, they are actively expanding their CRM stack. When they hire for Kubernetes, they are scaling infrastructure. Hiring patterns are one of the most reliable proxies for software buying intent available in public data.

Connect via MCP for direct use from Claude, Cursor, or n8n. Or run directly on Apify for structured dataset output.

Connect your AI agent via MCP and ask:

• "Which DACH companies are hiring Salesforce admins?"
• "Show me the tech stack of N26 based on their current job postings"
• "Which DE companies have the highest hiring signal for cloud migration?"

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Start Here

Choose the setup that fits your workflow:

Option 1: Use It Via MCP

Use this when you want Claude, Cursor, VS Code, Windsurf, Zed, n8n, or another AI tool to call the Actor directly.

Get your Apify API token here: Apify Console - Integrations

MCP endpoint:

https://actorpilot--tech-stack-hiring-signal-monitor.apify.actor/mcp?token=YOUR_APIFY_API_TOKEN

Copy-paste prompt for Claude, Codex, or another AI assistant:

Please connect this MCP server for me:
https://actorpilot--tech-stack-hiring-signal-monitor.apify.actor/mcp?token=YOUR_APIFY_API_TOKEN

After connecting, test these tools:
1. search_hiring_signals with technology "Kubernetes", country "DE", maxResults 5
2. get_company_jobs with companyName "N26"
3. list_top_signals with country "DE", maxResults 5

Manual MCP config example for Cursor / VS Code / Windsurf / Zed:

{
  "mcpServers": {
    "dach-hiring": {
      "url": "https://actorpilot--tech-stack-hiring-signal-monitor.apify.actor/mcp?token=YOUR_APIFY_API_TOKEN"
    }
  }
}

What you get via MCP:

• search_hiring_signals
• get_company_jobs
• list_top_signals

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Option 2: Run It Directly On Apify

Use this when you want normal Apify output without MCP.

Choose one of these input modes in the Apify input form:

• search_hiring_signals
• get_company_jobs
• list_top_signals

Direct runs write:

• result rows directly to the dataset
• a structured summary object to the OUTPUT key-value record

Direct run example: Search hiring signals

{
  "mode": "search_hiring_signals",
  "technology": "Kubernetes",
  "country": "DE",
  "maxResults": 10
}

Direct run example: Get all jobs for one company

{
  "mode": "get_company_jobs",
  "companyName": "N26"
}

Direct run example: List the strongest hiring signals

{
  "mode": "list_top_signals",
  "country": "all",
  "maxResults": 10
}

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The Problem This Solves

Traditional B2B prospecting lists are static. By the time you buy a lead list, the data is weeks or months old.

Job postings are real-time signals. A company actively hiring for a specific technology right now is:

• Evaluating or expanding that technology stack
• Likely to have budget allocated
• In a buying window — not just a research phase

This Actor scrapes public job boards (Greenhouse, Lever, Personio) for DACH companies, extracts the technology signals from job descriptions, and returns a ranked list of companies with the strongest current hiring activity for your target technology.

Typical use cases:

• SaaS vendor identifying which DE companies are actively building Kubernetes infrastructure (= cloud tooling buyer)
• CRM consultant finding Swiss companies expanding their Salesforce team (= SI/consulting opportunity)
• Recruiter identifying which AT companies are hiring data engineers (= data stack market map)
• VC analyst mapping DACH companies with highest tech-hiring velocity

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Available MCP Tools

search_hiring_signals

Find DACH companies currently hiring for a specific technology. Returns ranked company signals with detected tech stack, role counts, job title samples, sources, and source URLs.

Parameter	Type	Description
technology	string	e.g. Salesforce, Kubernetes, Snowflake, dbt
country	enum	DE, AT, CH, or all
maxResults	integer	1-50, default 10

get_company_jobs

Get all open jobs and extracted tech stack for one specific company. Returns the company signal plus individual job-level results.

Parameter	Type	Description
companyName	string	e.g. N26, Contentful, Bitpanda

list_top_signals

List companies with the highest tech-hiring activity right now, even without filtering for a single technology.

Parameter	Type	Description
country	enum	DE, AT, CH, or all
maxResults	integer	1-25, default 10

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Output Example

Each result represents one company with hiring signal data.

{
  "companyName": "N26",
  "country": "DE",
  "hiringSignalScore": 87,
  "technologyMatches": ["Kubernetes", "AWS", "Terraform"],
  "openRoleCount": 12,
  "relevantRoleCount": 4,
  "sampleJobTitles": [
    "Senior Platform Engineer (Kubernetes)",
    "DevOps Engineer — AWS & Terraform",
    "Cloud Infrastructure Lead"
  ],
  "sources": ["greenhouse"],
  "sourceUrls": [
    "https://boards.greenhouse.io/n26"
  ],
  "detectedAt": "2026-06-11T08:14:00.000Z"
}

Key output fields:

• companyName, country
• hiringSignalScore — 0–100, higher = stronger buying signal
• technologyMatches — which of your target technologies were detected
• openRoleCount — total open positions at this company
• relevantRoleCount — positions matching the target technology
• sampleJobTitles — raw job titles that triggered the match
• sources — which ATS platform the data came from
• sourceUrls — direct links to verify the source

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Data Sources

• Greenhouse - public job board API, no auth required
• Lever - public postings API, no auth required
• Personio - public XML feed, no auth required

Coverage: DACH tech companies across DE, AT, and CH. Expanding continuously.

Note on geography: The country filter is based on the company directory classification of the employer, not strictly on each individual job location. A DE company can therefore still have some roles in cities like London, Barcelona, or Paris.

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Detected Technologies

CRM/ERP: Salesforce, HubSpot, SAP, Microsoft Dynamics

Data: Snowflake, dbt, Databricks, Apache Spark, Kafka, Airflow, Power BI, Tableau, Looker

Cloud/DevOps: AWS, Azure, GCP, Kubernetes, Terraform, Docker, Helm, ArgoCD, GitHub Actions

Languages: Python, TypeScript, Go, Rust, Java, Kotlin

Frontend: React, Vue, Next.js

AI/ML: PyTorch, TensorFlow, OpenAI, LangChain

Security: Splunk, CrowdStrike, SentinelOne

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Coverage

Job board sources:

• Greenhouse — public job board API, no authentication required
• Lever — public postings, no authentication required
• Personio — public XML feed, no authentication required

Geographic coverage: DACH tech companies classified as DE, AT, or CH. The country filter is based on the company's registered country, not individual job locations — a DE company may have some roles in other European cities.

Technology coverage: 40+ technologies across CRM/ERP, Data, Cloud/DevOps, Languages, Frontend, AI/ML, and Security. See the full list in the README section "Detected Technologies" above.

Limitations: Companies using Workable, Jobvite, or direct career-site postings are not currently covered. Coverage expands continuously as new ATS sources are added.

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Pricing

Pay Per Event - charged per successful tool call.

Tool	Price
search_hiring_signals	$0.05 per call
get_company_jobs	$0.05 per call
list_top_signals	$0.05 per call

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FAQ

How fresh is the hiring signal data? Each Actor run fetches live data directly from Greenhouse, Lever, and Personio at the time of the run. Schedule the Actor weekly for continuous monitoring.

How is the hiring signal score calculated? The score (0–100) is based on the number of matching roles relative to total open positions, weighted by role seniority signals. A company with 4 Kubernetes roles out of 12 total openings scores higher than one with 1 Kubernetes role out of 50.

Can I monitor a specific list of companies? Currently the Actor discovers companies from its built-in DACH directory. Targeted single-company lookup is available via get_company_jobs — pass the company name directly.

Is this legal to use? Yes. The Actor only accesses publicly available job listings from Greenhouse, Lever, and Personio — the same pages visible to any job seeker. No authentication, no scraping of private data, no personal data collection.

Can I pipe results directly into my CRM? Yes. Export results as JSON or CSV from the Apify dataset and import into HubSpot, Salesforce, or Pipedrive. Or use the Apify API to trigger runs and retrieve data programmatically.

How does this compare to Apollo.io or Clay.com? Apollo and Clay provide broader company databases with contact enrichment. This Actor provides deeper, more current tech-stack signal data from actual job postings — a complementary input to Apollo/Clay workflows, not a replacement.

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Works With

• Claude Desktop
• Cursor, VS Code, Windsurf, Zed
• n8n (MCP Client node)
• LangChain / LangGraph
• OpenAI Agents SDK
• Any MCP Streamable HTTP client