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⇱ LinkedIn Company Monitor β€” Headcount, Hires & Jobs Β· Apify


πŸ‘ LinkedIn Company Monitor β€” Headcount, Hires & Jobs avatar

LinkedIn Company Monitor β€” Headcount, Hires & Jobs

Pricing

$750.00 / 1,000 linkedin company monitor reports

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LinkedIn Company Monitor β€” Headcount, Hires & Jobs

Watch any company's public LinkedIn page. Get employee count, growth velocity, recent posts and engagement, new hires, and open jobs β€” plus an AI narrative of what changed since last run. Pay per company report.

Pricing

$750.00 / 1,000 linkedin company monitor reports

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Developer

πŸ‘ Don Johnson

Don Johnson

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LinkedIn Company Monitor β€” Track Headcount, Hires, Posts & Job Openings

One report per company. Updated every time you run it. Tracks the four signals every BD, recruiter, investor and competitive-intel team actually wants.

Stop tab-hopping LinkedIn pages. This actor watches any company's public LinkedIn page and returns a structured intelligence report covering:

  • Follower count + delta vs your last run
  • Employees on LinkedIn + delta (headcount growth signal)
  • Company size band, industry, HQ, founding year, specialties β€” auto-extracted from the About page
  • Latest public posts with reactions, comments, reposts, and AI-classified topic mix (Product launch, Hiring, Funding, Partnership, Customer story, Event, AI/ML, Thought leadership, etc.)
  • Open jobs total + sample roles + locations
  • New-hire announcements detected in recent posts (with senior-hire flagging)
  • An AI-written executive narrative explaining what changed since last run

Pay-per-report pricing. No subscription. No login required.


Why people use this

  • BD reps tracking a target list β€” see the day a company starts hiring or announces a senior exec hire
  • Recruiters monitoring competitors β€” spot when a rival begins/halts hiring
  • Investors β€” track portfolio companies' growth velocity weekly with one scheduled run
  • PR / Brand teams β€” measure your own LinkedIn follower velocity against competitors
  • Competitive intel teams β€” see which competitors are pushing AI / launches / partnerships in their content
  • Agencies β€” productize a "LinkedIn Intelligence" deliverable for clients without building the scraper

What makes it different

Most LinkedIn scrapers dump raw data. This one dumps an intelligence report β€” structured, deduped, with delta vs the previous run baked in. That delta is the whole game. Run it once, you get a snapshot. Run it weekly, you get a hiring/growth/PR signal stream you can pipe straight into Slack, a CRM, or a spreadsheet.

The new-hire detector parses post text for phrases like "please welcome", "excited to welcome", "joining us as our new" β€” and flags senior hires (Chief / VP / Director / Head of). This is the single most-requested signal from BD teams and we surface it natively.


Input

{
"companies":[
{"name":"Acme Corp","linkedinUrl":"https://www.linkedin.com/company/acme/"}
],
"includePosts":true,
"includeJobs":true,
"maxPosts":25,
"maxJobs":50,
"reportStyle":"full"
}
FieldRequiredDefaultDescription
companies[].nameYesβ€”Company name (used in the report headline)
companies[].linkedinUrlYesβ€”Public LinkedIn company page URL
includePostsNotrueScrape latest public posts + engagement + topic mix
includeJobsNotrueScrape /jobs/ subpage
maxPostsNo255–100
maxJobsNo505–200
reportStyleNofullfull (detailed markdown) or brief (short summary)

Output β€” one record per company

{
"company": "Acme Corp",
"linkedinUrl": "https://www.linkedin.com/company/acme/",
"scrapedAt": "2026-05-16T12:00:00.000Z",
"snapshot": {
"followers": 81234,
"employeesOnLinkedIn": 412,
"companySize": "201-500 employees",
"industry": "Software Development",
"headquarters": "San Francisco, CA",
"founded": "2017",
"specialties": "B2B SaaS, Analytics, …",
"openJobs": 17
},
"changeSinceLastRun": {
"employeesOnLinkedInDelta": 18,
"followersDelta": 2340,
"openJobsDelta": 6
},
"postCount": 23,
"postTopicTally": { "Product launch": 5, "Hiring": 4, "AI / ML": 9, "Customer story": 3 },
"newHireSignals": [
{ "snippet": "Please welcome Jane Doe as our new VP of Engineering…", "seniority": "senior", "namedRole": "VP of Engineering" }
],
"openJobsTotal": 17,
"sampleJobs": [ { "title": "Staff Software Engineer", "location": "Remote (US)", "url": "…" } ],
"topPostsByEngagement": [ … ],
"aiNarrative": "Acme Corp shows 412 employees on LinkedIn with 81,234 followers. Headcount on LinkedIn grew by 18 since last run (394 β†’ 412). The page added 2,340 followers since last run. Top post themes across the last 23 posts: AI / ML (9), Product launch (5), Hiring (4). Detected 1 senior hire announcement in recent posts.",
"intelligenceReport": "# LinkedIn Monitor Report β€” Acme Corp\n…"
}

intelligenceReport is a ready-to-paste markdown report.


Pricing

$0.75 per company report (pay-per-event). One company in companies = one report = one charge.

Why it's worth it: 30+ minutes of manual page-watching per company, replaced with a $0.75 API call that also remembers your last run and tells you what changed.


Common workflows

  • Weekly scheduled run on your target accounts β†’ pipe changeSinceLastRun to Slack β†’ BD reps wake up to a "what moved this week" feed
  • Hiring velocity tracker β€” schedule weekly, alert when employeesOnLinkedInDelta >= 5
  • New-exec radar β€” alert when newHireSignals[].seniority === 'senior'
  • Content-strategy intel β€” compare postTopicTally across 10 competitors to see what topics they're pushing

Tips

  • Run with includePosts: true for the new-hire and topic-mix signals β€” that's where most of the value is.
  • The actor stores a snapshot per company per Apify account, so you get delta automatically from the second run onward.
  • For broader hiring intelligence across multiple ATSes (Greenhouse, Lever, Ashby, Indeed), check out our Hiring Signal Intelligence Agent.

Limits & honesty

  • Public data only. No login. No password. No private profile scraping.
  • LinkedIn intermittently shows aggressive login walls β€” when that happens the actor degrades gracefully: it returns whatever it could read and clearly labels the rest.
  • Engagement numbers on posts are read from the visible UI. They reflect what LinkedIn shows publicly.

Built and maintained by Johnson AI Consulting β€” see also our Hiring Signal Intelligence Agent, Review Intelligence Agent, Competitor Intelligence Monitor, and Amazon Product Intelligence.

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