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Public Hiring Signal Monitor

Pricing

$25.00 / 1,000 hiring signal analyzeds

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Public Hiring Signal Monitor

Public Hiring Signal Monitor

Turn public job-board, ATS, or career-site job records into account-priority signals, department growth, seniority, and sales-trigger actions.

Pricing

$25.00 / 1,000 hiring signal analyzeds

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Developer

Gene

Gene

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1

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15 days ago

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Public Hiring Signal Monitor

Turn public job-board, ATS, and career-site records into account-priority signals, department growth, seniority, and sales-trigger actions.

This Actor is built for sales teams, RevOps, recruiters, agencies, and account-based marketing workflows that already collect public job records and need to know what those jobs imply.

Workflow Hub

Use the public Public Hiring Signal demo script for the first run: two public job records become department, seniority, signal type, priority score, remote hint, and account action fields. Sales and RevOps teams can start from the job board account signals use case or the Public Hiring Signal alternatives page. The proof GIF shows public hiring records becoming GTM account-priority signals before connecting a public ATS, career-site, or job-board dataset.

Proof preview: watch the public-safe sample become buyer-ready output before you run the Actor.

Use the public-safe sample input JSON when you open the Store run form so the first run starts from copy-ready input.

Need the copy-first launch path? Open the sample-first Store handoff to copy the input before returning to the tracked Store run form.

60-Second First Run

  1. Start with one public job search that turns into account-priority signals, using the linked demo before connecting a larger public job dataset.
  2. Check department signal, seniority pattern, expansion clue, account priority, and CRM action.
  3. Route the account-priority rows into CRM, Slack, a spreadsheet, or an ABM research queue before scheduling a broader run.

What You Learn

  • Which department a new role belongs to
  • Whether a role is senior, executive, manager, mid-level, or entry-level
  • Whether hiring suggests GTM expansion, leadership change, or general account activity
  • Which accounts deserve follow-up
  • What action to take in a sales or recruiting workflow

Use Cases

  • Weekly hiring-change alerts for target accounts
  • Sales-trigger enrichment from public ATS data
  • RevOps account scoring
  • Recruiting-market monitoring
  • Agency account research and prospect prioritization

Input

Provide job records inline or pass an Apify datasetId from another job scraper.

{
"defaultCompany": "Northstar CRM",
"jobs": [
{
"companyName": "Northstar CRM",
"title": "Senior Account Executive",
"description": "Help us scale revenue in a new region.",
"location": "Remote"
}
],
"maxJobs": 100
}

Output

Each dataset item is one analyzed hiring signal:

{
"status": "succeeded",
"recordIndex": 1,
"billingEventName": "hiring-signal-analyzed",
"companyName": "Northstar CRM",
"jobTitle": "Senior Account Executive",
"department": "sales",
"seniority": "senior",
"signalType": "expansion_signal",
"priorityScore": 95,
"remoteHint": true,
"accountAction": "Flag Northstar CRM as expanding; enrich the account and monitor adjacent roles this week."
}

The run also writes a SUMMARY key-value-store record with department and signal counts.

FAQ

Does this scrape LinkedIn, Indeed, or ATS pages?

No. It analyzes public job records you provide inline or through an Apify dataset from another Actor. The MVP avoids credential-heavy scraping and focuses on account-priority signals.

What input do I need for the first run?

Use the Store example with defaultCompany and one or more job records. Titles and descriptions are the most useful fields; company and location improve routing.

What do I get back?

One dataset item per analyzed job, including department, seniority, signal type, priority score, remote hint, and account action. The run also writes a SUMMARY record.

Who is this for?

Sales teams, RevOps, recruiters, agencies, and ABM teams that need recurring hiring-change signals for account prioritization.

When is it commercially chargeable?

The configured paid event is hiring-signal-analyzed at $0.025, scheduled for 2026-05-26T21:05:10Z. Run a small paid smoke after activation before promoting high-volume use.

Pricing

Default monetization model: pay per event.

Recommended chargeable event:

  • Event name: hiring-signal-analyzed
  • Event meaning: one successfully analyzed public job record
  • Store price: $0.025 per analyzed job signal
  • Pricing activation: scheduled for 2026-05-26T21:05:10Z

Successful rows are pushed only after the charge path allows the event. Run a paid smoke after the scheduled activation time before promoting the listing.

Limitations

  • This MVP analyzes job records; it does not scrape LinkedIn, Indeed, or ATS pages directly.
  • It is intentionally positioned around public job datasets and account-priority signals, not credential-heavy scraping.
  • Source schemas vary. The Actor recognizes common fields such as title, jobTitle, companyName, description, location, and url.

Automation And Agent Use

  • Run a public job scraper first, then pass its dataset ID to this Actor.
  • Schedule weekly account monitoring for target-account lists.
  • Send high-priority hiring signals to Slack, a CRM, or a spreadsheet.
  • Use department, seniority, signalType, and priorityScore in downstream account scoring.

Local Development

python3 -m pip install -r requirements.txt
ACTOR_TEST_PAY_PER_EVENT=true apify run --purge --input-file examples/smoke-input.json