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Hiring Signal Lead Finder

Pricing

from $22.00 / 1,000 processed hiring searches

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Hiring Signal Lead Finder

Hiring Signal Lead Finder

Find company hiring demand signals from public job, career, and hiring-result pages, with clean lead sources and outreach angles.

Pricing

from $22.00 / 1,000 processed hiring searches

Rating

0.0

(0)

Developer

Ushba Khan

Ushba Khan

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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This actor helps sales teams, recruiters, staffing agencies, and B2B operators find companies showing active hiring demand.

It searches public job, ATS, marketplace, and career-page result surfaces, then turns noisy result pages into compact company lead rows.

What it is useful for

  • Use it when hiring activity is a buying signal for software, services, recruiting, payroll, training, equipment, agencies, or local B2B outreach.
  • Building cleaner research exports from messy public web surfaces.
  • Prioritizing prospects, pages, communities, or knowledge sources before manual review.
  • Feeding structured records into spreadsheets, CRMs, dashboards, or automation workflows.

Input

Provide one or more values in hiringSearches.

{
"hiringSearches": [
"ai sales engineer remote",
"healthcare data analyst jobs"
],
"maxItems": 8,
"requestTimeoutSecs": 25,
"maxConcurrency": 3
}

Output you get

The dataset is intentionally compact and buyer-facing. Important fields include:

  • hiringSearch
  • hiringSignalLevel
  • hiringSignals
  • companyLeads.companyOrPage
  • companyLeads.sourceType
  • companyLeads.roleHints
  • companyLeads.hiringEvidenceUrl
  • outreachAngle

Practical workflow

  1. Start with a small list of searches or URLs.
  2. Review the first dataset rows and confirm the signals match your market.
  3. Increase the input list for larger research batches.
  4. Export the dataset to CSV, JSON, Google Sheets, or your automation pipeline.

Notes and limitations

  • The actor uses public web data and does not bypass login walls, private content, CAPTCHA, or protected dashboards.
  • Public search snippets and pages can change, so results should be treated as research signals rather than legal, financial, or valuation advice.
  • The output avoids raw HTML and noisy debug fields so buyers can act on the data immediately.