Who's Hiring — Company Leads from Job Boards

Find companies that are hiring for the roles you sell into, right now. This Actor scans thousands of public company job boards on Greenhouse, Lever and Ashby and returns one row per hiring company. Each row shows how many matching jobs the company has open, how many were posted in the last 7 and 30 days, which departments and locations they're for, any posted salary ranges, and the company's website and careers page.

When a company is hiring SDRs, it may need sales tools. When it's hiring React developers, it may need dev agencies or contractors. When it's hiring its first data engineer, it may need data infrastructure. Hiring is one of the strongest public buying signals, and this Actor turns it into a lead list.

Who it's for

• Agencies (recruiting, dev shops, marketing, design) looking for companies with an open need right now
• SaaS sales teams doing signal-based outbound: "you're hiring 4 AEs, here's how we ramp them faster"
• Recruiters and staffing firms looking for companies with many open roles in their specialty
• Investors and market researchers tracking hiring speed by role, team or location

What you get (one row per company)

Field	Description
companyName	Name as shown on the job board
domain, website	Company website, when it can be reliably identified (see limitations)
careersPage	The company's careers page (its own site when it hosts one, otherwise the public job board)
atsBoardUrl, ats, boardSlug	The public job board the data came from
matchingOpenings	Open jobs matching your keywords, location and date filters
newOpenings7d, newOpenings30d	Matching jobs first published in the last 7 / 30 days (hiring speed)
remoteOpenings	How many of the matching jobs are remote
totalOpenJobs	All open jobs at the company (company size and growth proxy)
latestPostedAt	Most recent matching posting
matchingTitles, matchingLocations, departments	De-duplicated summaries
salaryRanges	Pay ranges the company published (pay-transparency fields or posting text)
matchingJobs[]	Up to N newest matching jobs: title, location, remote, department, posted date, salary, link

Use the "Matching jobs" dataset view to get one row per job instead. Export as CSV, Excel or JSON, or send results straight to a CRM, Google Sheets, Make, Zapier or n8n through Apify integrations.

Example row

{
  "companyName": "Ramp",
  "domain": "ramp.com",
  "website": "https://ramp.com",
  "careersPage": "https://jobs.ashbyhq.com/ramp",
  "atsBoardUrl": "https://jobs.ashbyhq.com/ramp",
  "ats": "ashby",
  "boardSlug": "ramp",
  "matchingOpenings": 11,
  "newOpenings7d": 11,
  "newOpenings30d": 45,
  "remoteOpenings": 11,
  "totalOpenJobs": 168,
  "latestPostedAt": "2026-10-28T22:02:17.374+00:00",
  "matchingTitles": [
    "People Business Partner, G&A",
    "Manager, Account Manager, Commercial",
    "Sales Development Representative | Public Sector"
  ],
  "matchingLocations": [
    "New York, NY (HQ)",
    "San Francisco, CA",
    "Washington, D.C."
  ],
  "departments": [
    "People & Talent",
    "Sales",
    "Compliance",
    "Product",
    "Engineering"
  ],
  "salaryRanges": [
    "$134K - $236K",
    "$230K - $305K",
    "$110K - $130K",
    "£95K - £130K",
    "CA$230K - CA$315K"
  ],
  "matchingJobs": [
    {
      "title": "People Business Partner, G&A",
      "location": "New York, NY (HQ)",
      "remote": true,
      "department": "People & Talent",
      "postedAt": "2026-10-28T22:02:17.374+00:00",
      "salary": "$134K - $236K",
      "url": "https://jobs.ashbyhq.com/ramp/a5c7c68a-33f9-4f78-929e-29b58f26d22a"
    }
  ],
  "scrapedAt": "2026-10-29T20:53:31.496Z"
}

(Real row from a test run on 29 Oct 2026, arrays trimmed. Input: companyDomains ramp.com, posted within 7 days, no keyword filter.)

How to use it

1. Enter job title keywords, e.g. SDR, sales development, account executive.
2. Optionally narrow by locations (New York, London, United States), remote only, and posted within N days.
3. Set minimum matching openings (e.g. 3 or more = serious hiring) and max companies.
4. Run it. Results are ranked by matching openings.

Target account mode: paste your account list into Only these company domains (e.g. stripe.com, ramp.com) to see who on your list is hiring. Add your own boards: paste board URLs such as https://jobs.lever.co/palantir into Extra company job boards.

Data sources and compliance

• Data comes only from the official public job-board APIs that Greenhouse, Lever and Ashby provide for publishing job listings. No logins, no captchas, no LinkedIn, no Google.
• Company-level data only. The Actor never outputs recruiter, hiring-manager or employee names, emails or phone numbers, and it does not collect personal data.
• The built-in directory of company boards is derived from the LastRound AI ATS Company Directory (CC BY 4.0). Every board was re-verified live before inclusion.
• You are responsible for how you use the results, including outreach laws such as CAN-SPAM, GDPR/PECR and CASL.

Pricing (pay per event)

You pay only for results:

• Run start: a small flat fee per run
• Company result: per company row returned
• Job row: per job detail attached to a company row (set Max job details per company to 0 to turn this off)

Set Max cost per run in Apify to cap spend. The Actor stops cleanly when it reaches the cap.

Tips

• A full scan of the directory takes a few minutes. Use Max boards to scan or pick fewer platforms for faster, cheaper test runs.
• Keywords match whole words: AE will not match "AEROSPACE". Add several variants (SDR, BDR, sales development).
• Schedule the Actor daily with postedWithinDays: 1 to get a feed of new hiring signals.

Limitations

• Covers companies on Greenhouse, Lever and Ashby (mostly tech, startups and growth companies). It does not cover Workday, iCIMS or Taleo enterprise boards.
• domain is inferred from links in the postings and is left empty when it can't be identified reliably.
• "Posted" dates are the date each platform reports as first published. Some companies re-post jobs, which makes them look new.
• Salary ranges appear only where the company published them.