Tech Stack Hiring Signal Scraper — Global B2B Intent Data

Your sales team manually checks dozens of company websites looking for signs that they're evaluating your technology. This Actor automates that — and turns public job posting data from Greenhouse and Lever into ranked B2B buying signals for 90+ global tech companies.

The insight: When a company posts 5+ roles requiring Salesforce, they're actively expanding their CRM stack. When they post for Kubernetes engineers, they're scaling infrastructure. Hiring patterns are one of the most reliable proxies for technology buying intent available in public data — and they're completely free to access.

Try it free — click Try for free above. Most signal scans cost under $0.10.

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What does Tech Stack Hiring Signal Scraper do?

This Actor queries the public job boards of 90+ global tech companies via the Greenhouse and Lever ATS APIs — no login, no proxy, no JavaScript rendering. It extracts job titles, detects technology keywords, and returns a ranked list of companies with the strongest current hiring signal for your target technology.

In one run you can:

• Find every company in the directory currently hiring for Salesforce, Kubernetes, Snowflake, or any of 40+ technologies
• Get the full tech signal profile of one specific company
• List the companies with the highest overall tech hiring velocity right now

All results export as JSON or CSV, ready for CRM import.

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Why use Tech Stack Hiring Signal Scraper?

Hiring signals are buying signals

Signal	What it means
Company hiring 5+ Salesforce roles	CRM expansion — SI partners and ISVs take note
Company hiring Kubernetes engineers	Cloud infrastructure investment underway
Company hiring dbt and Snowflake analysts	Data stack build-out in progress
Company hiring ML engineers + PyTorch	AI product development starting

Public data, no authentication required

This Actor uses the public job listing APIs of Greenhouse.io and Lever — the same endpoints job seekers use. No login. No API key. No scraping of protected data. Just clean structured signal.

Global coverage, three regions

Region	Companies covered
United States	50+ major tech companies
Europe (incl. DACH)	30+ companies
Asia-Pacific	10+ companies

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Who uses Tech Stack Hiring Signal Scraper

• SaaS Sales Development Reps building hyper-targeted prospect lists based on current technology adoption signals
• Business Development at consulting firms identifying clients about to expand a platform they know
• VC and growth equity analysts mapping which portfolio companies are scaling specific technologies
• Recruiters and staffing agencies mapping which companies are in active hiring mode for a specific stack
• Competitive intelligence teams tracking which companies are adopting or replacing a technology

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How to use Tech Stack Hiring Signal Scraper

1. Click Try for free
2. Choose a mode
3. For search_by_technology: enter a technology name like Salesforce or Kubernetes
4. Set region to filter by geography (optional)
5. Set maxResults and minSignalScore to control output size
6. Start the run
7. Download results as JSON or CSV and import into your CRM

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Input

Field	Type	Default	Description
mode	string	search_by_technology	One of: search_by_technology, get_company_signals, list_top_signals
technology	string	—	Required for search_by_technology. Example: Salesforce, Kubernetes, Snowflake
companyName	string	—	Required for get_company_signals. Use company slug (e.g. stripe, n26)
region	string	all	Filter: all, us, eu, dach, apac
maxResults	integer	20	Maximum results to return (1–100)
minSignalScore	integer	0	Only return results with score ≥ this value

Example: Find US companies hiring for Kubernetes with a strong signal:

{
  "mode": "search_by_technology",
  "technology": "Kubernetes",
  "region": "us",
  "maxResults": 25,
  "minSignalScore": 30
}

Example: Get full tech profile for Stripe:

{
  "mode": "get_company_signals",
  "companyName": "stripe"
}

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Output

Each result represents one company with its hiring signal data.

{
  "companyName": "Stripe",
  "companySlug": "stripe",
  "region": "us",
  "hiringSignalScore": 74,
  "technologyMatches": ["Kubernetes", "AWS", "Go", "Python", "Terraform"],
  "openRoleCount": 89,
  "relevantRoleCount": 7,
  "sampleJobTitles": [
    "Staff Infrastructure Engineer — Kubernetes Platform",
    "Senior SRE (Kubernetes, AWS)",
    "Platform Engineer — Container Orchestration"
  ],
  "atsSource": "greenhouse",
  "companyUrl": "https://stripe.com",
  "sourceUrls": ["https://boards.greenhouse.io/stripe"],
  "detectedAt": "2026-06-11T10:30:00.000Z"
}

Key output fields:

• companyName, companySlug, region
• hiringSignalScore — 0–100, higher = stronger buying signal
• technologyMatches — technologies detected across all open roles
• openRoleCount — total open positions at this company right now
• relevantRoleCount — positions matching the target technology
• sampleJobTitles — raw job titles that triggered the match
• atsSource — greenhouse or lever
• sourceUrls — direct links to verify the job board

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Understanding the signal score

The signal score (0–100) combines two factors:

1. Ratio signal — what share of a company's open roles require the target technology (up to 60 points)
2. Absolute signal — raw number of matching roles (up to 40 points)

A company with 7 Kubernetes roles out of 89 total openings (8% ratio) plus the absolute weight scores ~74. A company with 1 role out of 5 would score lower despite a higher ratio — because one role is a weak signal.

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Coverage

ATS sources:

• Greenhouse — public JSON API at boards-api.greenhouse.io/v1/boards/{slug}/jobs
• Lever — public JSON API at api.lever.co/v0/postings/{slug}

Detected technologies (40+):

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, ArgoCD, GitHub Actions

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

Frontend: React, Vue

AI/ML: PyTorch, TensorFlow, LangChain, OpenAI

Security: Splunk, CrowdStrike, SentinelOne

Limitations: Companies using Workable, Jobvite, or direct career-site postings are not currently covered. The company directory contains ~90 manually curated entries — contact us to add your target company.

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How much does it cost?

Run type	Companies processed	Estimated cost
Single company lookup	1 company	~$0.005
Technology search (US only)	~50 companies	~$0.05
Technology search (global)	~90 companies	~$0.08
Full top-signals scan	~90 companies	~$0.10

New Apify accounts receive $5 in free monthly credits — enough for 50+ full scans.

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Real-World Workflow Examples

SaaS Sales Pipeline: Find Salesforce Expansion Targets

1. Run search_by_technology with technology: "Salesforce" and region: "us"
2. Filter results where hiringSignalScore > 50
3. Export to CSV and import into Salesforce or HubSpot as new accounts
4. Repeat weekly — hiring pipelines turn over fast

Competitive Intelligence: Who is adopting Kubernetes?

1. Run search_by_technology with technology: "Kubernetes" and region: "all"
2. Compare results month-over-month to identify new entrants
3. Cross-reference with funding data for highest-priority accounts

Account Research: Before a sales call

1. Run get_company_signals for the target company
2. Review technologyMatches to understand their full stack
3. Tailor your pitch to the technologies they are actively hiring for

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Use with AI agents via Apify MCP

This Actor can be used from Claude, Cursor, VS Code, Windsurf, n8n, and other MCP-compatible tools via Apify's Actors MCP server.

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": ["-y", "@apify/actors-mcp-server"],
      "env": {
        "APIFY_TOKEN": "your_apify_api_token_here"
      }
    }
  }
}

Copy-paste prompt for Claude or Cursor:

Please set up Apify's Actors MCP server in my MCP configuration.
Use command: npx, args: -y @apify/actors-mcp-server
Set my APIFY_TOKEN in the MCP environment.
After setup, use the actor "global-tech-hiring-signal-scraper" to find which companies are hiring for Salesforce right now.

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FAQ

Is this legal to use? Yes. This Actor only accesses publicly available job listings from Greenhouse and Lever — the same pages visible to any job seeker without authentication. No personal data is collected. You remain responsible for compliant use under applicable regulations.

How fresh is the data? Each run fetches live data at the time of the run. Schedule the Actor weekly for continuous monitoring — hiring pipelines change fast.

How is the signal score calculated? See the "Understanding the signal score" section above. The score is a weighted combination of ratio (relevant roles / total roles) and absolute role count.

Can I add companies not in the directory? The built-in directory covers ~90 curated companies. Contact us through the Apify platform to request additions, or use get_company_signals with any valid Greenhouse or Lever company slug.

Why does some company return zero results? Either the company had no open roles at the time of the run, or the slug in the directory no longer matches their current ATS setup. Use the sourceUrls field to verify directly.

Can I use this for a specific list of target accounts? Currently the Actor uses a built-in directory. For a custom account list, contact us through Apify — we can extend the Actor for your use case.

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. It is a complementary input to Apollo/Clay workflows, not a replacement.

Do you support Workable or other ATS platforms? Not currently. Greenhouse and Lever cover the majority of global tech companies. Workable has begun blocking automated access. Additional ATS sources are planned.