Hiring Signal Intelligence Agent — Track Job Growth, Dept Expansion & Tech Hiring Across Any Company

Hiring signals are buying signals. This Actor tracks any company's hiring activity across five sources — LinkedIn Jobs, Indeed, Greenhouse, Lever, and Ashby — and returns a structured intelligence report with department breakdowns, tech-stack signals, geographic expansion, and an AI-written narrative.

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The Problem

When a company is hiring 5 Kubernetes engineers, they are buying observability tools. When they are hiring 10 EMEA AEs, they are expanding into Europe. When their hiring drops 40% month-over-month, they are tightening.

You can see all of this in their job postings — but it is spread across LinkedIn, Indeed, and three different ATS systems (Greenhouse, Lever, Ashby). Every other Apify Actor covers exactly one source. This one covers all five.

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What You Get Per Company Report

• Total open roles + velocity — change vs the last run, so you see acceleration or contraction over time
• Department breakdown — Engineering, Sales, Marketing, Product, Operations, Data, etc.
• Tech-stack signals — Python, Kubernetes, React, AWS, LLM, Snowflake, and 60+ more keywords
• Geographic expansion signals — new regions being staffed (EMEA, APAC, LATAM, remote)
• Seniority mix — IC vs Manager vs Director vs VP+
• AI-written narrative — plain-English synthesis ("Acme is aggressively building EMEA sales, doubling its data team, and slowing US hiring")
• New roles since last run — the diff that matters for sales/competitive intel
• Sample open roles — title + location + department + seniority + apply URL

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Why This Actor vs. Alternatives

Alternative	Gap
LinkedIn Jobs scraper	LinkedIn only — misses 60% of postings on ATS boards
Greenhouse/Lever-only scrapers	One ATS — misses companies on other ATSes
Indeed scraper	Indeed only — no tech-stack or department synthesis
Manual research	Hours per company, no diff over time, no synthesis
HG Insights / TheirStack	$20k+/year enterprise data — same signal at 1/100th the cost

The only Apify Actor that monitors hiring across 5 distinct sources and delivers a written narrative — not just a CSV of job titles.

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Who This Is For

• Sales teams — hiring is the strongest buying signal. Run on your target accounts before every outbound campaign.
• Consultants — see who is spending on what, before competitors. Match your service offer to a company's actual investment trajectory.
• MSPs and agencies — expansion = new client opportunity. Spot growth before the press release.
• Recruiters — find hot markets and companies hiring your specialty.
• Investors and analysts — hiring data is leading-indicator data. See growth signals before public filings.

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How It Works

1. You provide a list of companies. For each company, give any subset of job-board URLs (LinkedIn, Indeed, Greenhouse, Lever, Ashby).
2. The Actor pulls jobs from each source — using public ATS JSON APIs (Greenhouse/Lever/Ashby) where available and Playwright scraping for LinkedIn and Indeed.
3. Jobs are deduplicated across sources, then classified by department, seniority, region, and tech-stack keywords.
4. A snapshot from the previous run is loaded; the diff produces velocity, new roles, and department deltas.
5. A plain-English narrative is generated and a full markdown report is built.
6. Output goes to the dataset (JSON + readable markdown) and one PPE event is charged.

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Input

{
  "companies": [
    {
      "name": "Acme Corp",
      "linkedinUrl": "https://www.linkedin.com/company/acme/",
      "indeedUrl": "https://www.indeed.com/cmp/acme-corp",
      "greenhouseUrl": "https://boards.greenhouse.io/acme",
      "leverUrl": "https://jobs.lever.co/acme",
      "ashbyUrl": "https://jobs.ashbyhq.com/acme"
    }
  ],
  "maxJobsPerSource": 100,
  "reportStyle": "full"
}

Only name is required. Provide as many of the five URLs as you have — more sources = stronger signal. The Actor handles missing sources gracefully.

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Sample Output

# Hiring Signal Intelligence Report — Acme Corp
Generated: 2026-05-15T18:42:00Z

## Headline
Acme Corp has 47 open roles concentrated in Engineering (18), Sales (12), Data & ML (6).
Hiring acceleration: 31 → 47 roles (+16 since last run). Departments adding fastest: Sales (+7), Engineering (+4), Data & ML (+3). Geographic expansion signal: EMEA (+5), APAC (+2). Tech-stack signal from job descriptions: kubernetes (8), python (12), aws (10), llm (4), snowflake (3). Leadership-heavy mix: 19% of openings are director-and-above — often signals a scaling org building its management layer.

## Open Roles
- Total open roles detected: **47**
- Velocity vs last run: **+16** (31 → 47)

## Sources
- greenhouse: 28 jobs
- lever: 0 jobs — No leverUrl or token not parseable.
- ashby: 0 jobs — No ashbyUrl or token not parseable.
- linkedin: 14 jobs
- indeed: 8 jobs

## Department Breakdown
- Engineering: 18 (+4 vs last)
- Sales: 12 (+7 vs last)
- Data & ML: 6 (+3 vs last)
- Marketing: 4
- Product: 3
- Operations & Finance: 2 (-1 vs last)

## Tech-Stack Signals
- python: 12
- aws: 10
- kubernetes: 8
- react: 7
- snowflake: 3
- llm: 4

## Geographic Mix
- United States: 22
- EMEA: 12 (+5)
- Remote: 8
- APAC: 3 (+2)

## Seniority Mix
- Mid-level / IC: 24
- Senior: 13
- Manager / Lead: 6
- Director / Head: 3
- C-Suite / VP: 1

## New Roles Since Last Run
- Head of EMEA Sales
- Senior Data Engineer (Snowflake)
- Staff ML Engineer
- Account Executive - DACH
- Solutions Architect - APAC

## Sample Open Roles
- Senior Software Engineer, Platform
- Account Executive - UK
- Staff Data Scientist
- ...

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Pricing

$1.00 per company hiring intelligence report. Pay-per-event — no subscription, no minimums.

Comparison: TheirStack / HG Insights enterprise = $15k–$40k/year for the same signal class. Five reports a week with this Actor = ~$20/month.

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Use Cases

Pre-Outbound Sales Intel

Before a sales campaign, run this on 20 target accounts. Filter to companies with velocity > +5 and you have an outbound list that converts 3–5× higher than cold lists.

Competitive Hiring Watch

Run weekly on your top 5 competitors. When their Sales department grows 30% in a month, expect a market push next quarter.

Geographic Expansion Detection

Track geographicMix deltas. New EMEA or APAC headcount = a market entry signal 6–12 months before it appears in PR.

Tech-Stack Migration Watch

Track techStackSignals over time. A surge in "kubernetes" or "snowflake" hires reveals platform migrations that are buying signals for adjacent tools.

Funding-Round Anticipation

Hiring acceleration of +15 roles per month frequently precedes a publicly-announced funding round by 60–90 days.

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FAQ

Do I need all five URLs per company? No. Provide whichever you have. The Actor degrades gracefully — sources without a URL are skipped and noted.

How does it handle LinkedIn and Indeed anti-bot? The Actor uses Playwright with realistic browser fingerprint, scrapes only public listings, and respects timeouts. Some runs may fail for those sources due to anti-bot — ATS sources (Greenhouse/Lever/Ashby) are far more reliable since they expose public JSON APIs.

How fresh is the data? Live on every run. ATS API data is real-time. LinkedIn/Indeed reflect what those sites are publicly showing at scrape time.

Can I run this on a schedule? Yes — use Apify's built-in scheduler to run daily or weekly. The Actor stores a snapshot per company so each run produces velocity and delta against the prior run.

What if a company is on a different ATS (Workday, BambooHR, etc.)? Coverage today is LinkedIn + Indeed + Greenhouse + Lever + Ashby — which together cover the majority of US/EU tech and SaaS hiring. Additional ATSes are on the roadmap; open an issue or message us if you need one.

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Run your first hiring intelligence report →