Multi-ATS Tech Skills Demand Intelligence

Quantify disclosed technology demand in public company job titles and descriptions using an explicit, buyer-controlled skill dictionary. Get company-level evidence instead of another raw job dump. Built for sales intelligence, workforce planning, training providers, and market researchers.

Start in 30 seconds

{
  "companies": [
    {
      "company": "Stripe",
      "boards": [
        {
          "provider": "greenhouse",
          "slug": "stripe"
        }
      ]
    },
    {
      "company": "Cloudflare",
      "boards": [
        {
          "provider": "greenhouse",
          "slug": "cloudflare"
        }
      ]
    },
    {
      "company": "OpenAI",
      "boards": [
        {
          "provider": "ashby",
          "slug": "OpenAI"
        }
      ]
    },
    {
      "company": "Palantir",
      "boards": [
        {
          "provider": "lever",
          "slug": "palantir"
        }
      ]
    }
  ],
  "skillDictionary": [
    "Python",
    "JavaScript",
    "TypeScript",
    "Java",
    "SQL",
    "AWS",
    "Kubernetes",
    "React",
    "Machine Learning"
  ],
  "maxJobsPerCompany": 100
}

Run the example, inspect the Dataset, then replace the companies and public ATS board identifiers. Save recurring inputs as Apify Tasks or call this Actor through API, webhooks, Make, n8n, Zapier, ChatGPT, Claude, or Neuton Actors MCP.

Output

Every successful company produces one auditable aggregate with company, totalOpenJobs, jobsAnalyzed, skillCounts, skillShares, roleFamilies, evidenceJobUrls, atsSources, scrapedAt. Source job URLs make the counts reviewable and useful in CRMs, warehouses, dashboards, RAG, and agent workflows.

Buyer workflows

• Find companies actively hiring for products your sales or partnership team supports
• Compare technology demand across employers using the same buyer-controlled skill dictionary
• Track changes in Python, Kubernetes, cloud, data, AI, or frontend demand over time
• Give training providers and workforce teams source-linked evidence for curriculum planning
• Export reconciled counts and evidence URLs into CRM scoring, BI, RAG, or agent workflows

Related hiring intelligence

• Salary Transparency Intelligence for disclosed compensation coverage
• Remote Work Intelligence for workplace-model comparisons
• Geographic Hiring Signals for location and country concentration
• Entry-Level Hiring Intelligence for internships, graduate roles, and early-career demand

Pricing

Launch price: $12.00 per 1,000 company technology-demand aggregates. One successfully processed company produces one billable aggregate. Failed companies, empty inputs, diagnostics, duplicates, and unsupported inferences are not billed.

Data contract

• Skills are matched from user-visible titles and descriptions using a disclosed dictionary.
• Do not infer technologies absent from source text.
• Counts and shares reconcile to analyzed jobs.
• Failed companies, diagnostics, and zero-evidence aggregates are not billable.

This pure-HTTP Actor uses public career-board endpoints at 256 MB. It fails visibly on incomplete source fetches and never claims access to private ATS or candidate data.

Responsible use

Use public hiring evidence for legitimate recruiting, workforce research, education planning, sales intelligence, and investment analysis. Do not infer protected characteristics, automate discriminatory decisions, collect private profiles, bypass access controls, or use results for spam. Verify consequential decisions against the linked source.

SEO keywords

multi ATS scraper, company hiring intelligence, Greenhouse jobs data, Lever jobs data, Ashby jobs data, Workday jobs data, SmartRecruiters jobs data, Recruitee jobs data, Personio jobs data, salary transparency data, remote work intelligence, technology skills demand, geographic hiring signals, entry level jobs intelligence, recruiting API, sales intent data, MCP hiring data.