Hiring Tech Stack: Skills from Company Job Postings

See which technologies a company is hiring for. Reads all open jobs from Greenhouse, Lever or Ashby boards and returns top skills (languages, cloud, data, AI, DevOps, SaaS tools) with job counts, plus engineering, remote, department and location stats. A strong sales-intent signal.

Data source: public Greenhouse, Lever and Ashby job-board APIs (the same feeds that power company career pages). It needs no login, proxy or browser. Results are returned as clean, flat JSON that is ready for spreadsheets, databases, BI tools and AI agents.

What can you use it for?

• Sales prospecting: find companies hiring for Snowflake, Kubernetes, Salesforce or your product category
• Competitive intelligence on a competitor's tech roadmap
• Recruiters: see which stacks companies are building
• Investors: track engineering and AI hiring momentum
• Use it as a tool from AI agents through the Apify MCP server, or schedule it and send new results to Slack, Google Sheets or a webhook

Input

Field	Name	Description
companies	Company board slugs or URLs	Job-board slugs (e.g. stripe, airbnb) or board URLs
ats	ATS	Board provider, or auto to try Greenhouse, then Lever, then Ashby
titleFilter	Job title filter (regex)	Only analyze jobs whose title matches, e.g. engineer
topSkills	Top skills	How many top skills to return
customSkills	Custom skills	Extra skills as {"Name": "regex"}, e.g. {"Apify": "\bapify\b"}
includeJobs	Include per-job skills	Add the list of jobs with the skills found in each

Example input

{
  "companies": [
    "stripe",
    "notion",
    "plaid"
  ]
}

Output

Each result is one dataset item with these fields: company, ats, openJobs, analyzedJobs, engineeringJobs, remoteJobs, topSkills, topSkillNames, skillsByCategory, cloudProviders, dataStack, aiSkills, topDepartments, topLocations, boardUrl, checkedAt.

Example output (real result, long fields shortened)

{
  "company": "stripe",
  "ats": "greenhouse",
  "openJobs": 739,
  "analyzedJobs": 739,
  "engineeringJobs": 243,
  "remoteJobs": 113,
  "topSkills": [
    {
      "skill": "SQL",
      "jobs": 143,
      "sharePct": 19.4
    },
    {
      "skill": "Python",
      "jobs": 94,
      "sharePct": 12.7
    },
    {
      "skill": "Ruby",
      "jobs": 75,
      "sharePct": 10.1
    }
  ],
  "topSkillNames": "SQL, Python, Ruby, Java, Machine Learning, Salesforce, LLM, JavaScript, AWS, Scala"
}

Download the results as JSON, CSV, Excel or XML, or read them through the Apify API.

Pricing

This Actor uses pay-per-event pricing. You pay $0.003 per company analyzed returned, plus standard Apify platform usage, which is small because the Actor uses lightweight HTTP requests (no browser). You are never charged for results that are not returned. To cap spending, set a maximum cost per run in the run options.

Tips

• Start with a small max-results value to check your filters, then scale up.
• Schedule the Actor (for example daily) to monitor changes over time.
• The data comes straight from the source, so its freshness and completeness depend on that publisher.

Disclaimer

This Actor is not affiliated with or endorsed by any website, platform or data publisher named here. Use it in line with the target sites' terms and applicable privacy laws (e.g. GDPR/CAN-SPAM for contact data). Verify critical decisions against the official source.