LinkedIn Company Hiring Signal Tracker and Export Tool

Paste a list of LinkedIn company URLs and get one hiring signal row per company. Total open roles, broken down by seniority, function, and location, the date of the newest role, and the change since the last run when you schedule it. Output as JSON, CSV, or Excel. No cookie, no login.

Built for B2B sales teams, recruiters, equity and PE analysts, and competitive intelligence people who treat a hiring spike as a buying signal and want it as data, not a dashboard they pay a seat for.

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Who uses this hiring tracker

flowchart TD
    A[B2B sales] -->|Company opened 40 roles<br/>budget and growth signal| D[Hiring Signal<br/>Row]
    B[Recruiters] -->|Competitor talent demand<br/>by function| D
    C[PE and equity analysts] -->|Headcount trajectory<br/>quarter over quarter| D
    E[Competitive intel] -->|Where a rival is<br/>investing headcount| D
    D --> F[Outreach trigger]
    D --> G[Talent market map]
    D --> H[Diligence note]

Role	What this tracker unlocks
B2B sales	A hiring ramp is budget plus growth, the cleanest time to reach out
Recruiter	Where a competitor is opening roles, by function and seniority
PE or equity analyst	Headcount trajectory of a target across scheduled runs
Competitive intel	Which function a rival is staffing up tells you their next move
Founder	Watch the companies in your space ramp or slow in one feed

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How the hiring tracker works

flowchart LR
    A[Company URL] --> B[Resolve numeric<br/>organization id]
    B --> C[Public jobs list<br/>filtered to that company]
    C --> D[Walk 25 at a time]
    D --> E[Aggregate one row]
    E --> F[Compare to last run]
    F --> G[(Hiring signal row)]

The actor resolves each company page to its numeric organization id, then walks the public job list filtered to that company, twenty five roles at a time. It counts every open role and buckets each by seniority, function, and location from the title and location text. With change tracking on, it stores the count between runs, so a scheduled run reports how many roles the company added or cut since last time. That velocity is the whole point.

This reads only the public job endpoint LinkedIn serves without a login. It is not a job board scraper for job seekers. It is a per company signal for people who sell, recruit, or invest.

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Job feed vs hiring signal

flowchart LR
    subgraph Feed[Per job scrapers]
        A1[One row per job]
        A2[For job seekers]
        A3[You aggregate yourself]
    end
    subgraph Signal[This actor]
        B1[One row per company]
        B2[For sellers and analysts]
        B3[Change since last run]
    end
    Feed -.-> X[Pick based on<br/>what you need]
    Signal --> X

Feature	Per job scraper	This actor
Output unit	One row per job	One row per company
Built for	Job seekers, aggregators	Sales, recruiting, analysts
Velocity	You compute it	Reported per scheduled run
Breakdown	You group later	Seniority, function, location ready
Pricing	Pay per job	Pay per company, first 3 per run free

Pair this with Scrapemint LinkedIn Hiring Tracker and Salary Intelligence when you want the individual roles behind a signal.

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Quick start

Track three companies once:

curl -X POST "https://api.apify.com/v2/acts/scrapemint~linkedin-company-hiring-tracker/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "companyUrls": [
      "https://www.linkedin.com/company/anthropicresearch/",
      "https://www.linkedin.com/company/stripe/",
      "https://www.linkedin.com/company/databricks/"
    ]
  }'

Watch only engineering hiring at one company on a daily schedule:

{
  "companyUrls": ["https://www.linkedin.com/company/databricks/"],
  "roleKeyword": "engineer",
  "trackDeltas": true,
  "maxRolesScanPerCompany": 1000
}

Run it on the Apify Scheduler daily and the delta field fills in from the second run on.

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What one company record looks like

{
  "company": "Anthropic",
  "companySlug": "anthropicresearch",
  "companyId": "74126343",
  "companyUrl": "https://www.linkedin.com/company/anthropicresearch/",
  "totalOpenRoles": 312,
  "previousTotal": 280,
  "delta": 32,
  "deltaPct": 11.4,
  "hiringTrend": "ramping",
  "bySeniority": { "senior": 110, "mid": 96, "staff": 41, "director": 22 },
  "byFunction": { "engineering": 140, "sales": 38, "operations": 27 },
  "topLocations": [
    { "location": "San Francisco, CA", "count": 121 },
    { "location": "Remote", "count": 64 }
  ],
  "newestRolePostedAt": "2026-05-17",
  "sampleTitles": ["Staff Software Engineer", "Recruiter, Technical"],
  "scrapedAt": "2026-05-18T19:30:00.000Z"
}

delta, previousTotal, and deltaPct are null on the first run and fill in from the second scheduled run on.

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Pricing

First 3 companies per run are free. After that you pay per company tracked, breakdown and change figure included. No seat licenses. Tracking 100 companies a day lands around $3 a day on the Apify free plan.

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FAQ

How is this different from a LinkedIn jobs scraper? A jobs scraper gives one row per job for job seekers. This gives one row per company for people who sell, recruit, or invest, with the count already bucketed and the change since last run.

Do I need a LinkedIn login or cookie? No. The actor resolves the public company page and reads the public jobs endpoint. No session, no Sales Navigator seat.

How do I get the change figure? Keep change tracking on and run the actor on the Apify Scheduler. The first run sets a baseline. Every run after reports the delta versus the previous run.

Will it count every open role? It walks the public list up to the scan cap you set. Raise the cap for very large employers. The row flags when the cap was hit so you know the count is a floor.

What company input formats work? A LinkedIn company URL like linkedin.com/company/{slug}, or the raw numeric organization id for advanced use.

Can I track only one function? Yes. Set a role keyword like engineer or sales and only matching titles are counted.

Is this legal? The company page and the jobs endpoint are public surfaces LinkedIn serves without a login. Use the output in line with your own policies and applicable law.

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Related actors by Scrapemint

• LinkedIn Hiring Tracker and Salary Intelligence for the individual roles behind a signal
• LinkedIn Company Employees Scraper for org wide prospecting
• LinkedIn Company Profile Scraper for firmographics on a flagged company
• Lead Enrichment Pipeline to push a ramping company into outreach
• LinkedIn Profile Scraper for the hiring manager behind a role

Stack these to go from a hiring spike to an enriched account plan.