LinkedIn Company Employees Scraper (No Cookies) avatar

LinkedIn Company Employees Scraper (No Cookies)

Pricing

Pay per usage

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LinkedIn Company Employees Scraper (No Cookies)

LinkedIn Company Employees Scraper (No Cookies)

Pull public employee insights from any LinkedIn company page without a cookie or login. Each row carries total headcount, distributions by location, role, skill, and school, plus any featured employees LinkedIn renders to anonymous visitors. JSON. Pay per company.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Ken M

Ken M

Maintained by Community

Actor stats

0

Bookmarked

15

Total users

6

Monthly active users

4 days ago

Last modified

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LinkedIn Company Employees Scraper (No Login Required)

Pull public employee insights from any LinkedIn company page. No cookies. No login. No Sales Navigator seat. Each row ships the total headcount, distributions of employees by location, role, top skill, and top school, plus any employee profile cards LinkedIn renders to anonymous visitors. Pay per company.

Built for B2B sales teams, recruiters, sourcers, agencies, and competitive intel pipelines that need fast workforce snapshots for prospecting, talent mapping, and account research.

Keywords this actor ranks for: linkedin company employees scraper, linkedin headcount tracker, linkedin people insights api, linkedin talent mapping, linkedin workforce intelligence, linkedin employee distribution, linkedin company size scraper, linkedin people search no login, sourcing linkedin employees, linkedin top skills by company, linkedin top schools by company, account research linkedin.


Why this actor

Other LinkedIn employee scrapersThis actor
Need your session cookieZero cookies, zero login
Risk your account on every runTouches only public surfaces
Return raw HTML blobsDistributions parsed into discrete rows with counts
Drop featured employee cardsFeatured profile cards shipped with name, title, location, URL
Charge per profile inspectedCharge per company, get the whole snapshot

How it works

flowchart LR
A[Company URL] --> B[Public people page<br/>no auth needed]
B --> C[Parse insight cards<br/>locations roles skills schools]
B --> D[Parse featured employee cards]
C --> E[Normalize into discrete rows]
D --> E
E --> F[Push one row per company]
F --> G[(JSON CSV Excel API)]
B -.fallback.-> H[Landing page for headcount]
H --> E

The actor hits the public people page first. If LinkedIn gates that surface for your IP, it falls back to the company landing page and pulls total headcount and company name from public meta tags. No cookie passes through the actor at any stage.


What you get per row

flowchart LR
R[Company row] --> R1[Identity<br/>handle url companyName]
R --> R2[Headcount<br/>totalEmployees]
R --> R3[Insights.locations<br/>where employees live]
R --> R4[Insights.jobFunctions<br/>what employees do]
R --> R5[Insights.skills<br/>top skills]
R --> R6[Insights.schools<br/>top schools]
R --> R7[Featured employees<br/>name title location URL]

Pipe straight into a sourcing tool, a CRM enrichment job, or a talent map.


Quick start

Talent map a target account list

{
"companyUrls": [
"https://www.linkedin.com/company/microsoft/",
"https://www.linkedin.com/company/openai/",
"https://www.linkedin.com/company/anthropic/"
]
}

Sales prospecting (skip insights to keep rows lean)

{
"companyUrls": ["https://www.linkedin.com/company/stripe/"],
"includeInsights": false,
"includeFeaturedEmployees": true
}

Recruiter research (every distribution, every featured profile)

{
"companyUrls": [
"https://www.linkedin.com/company/perplexity-ai/",
"https://www.linkedin.com/company/mistralai/"
],
"includeInsights": true,
"includeFeaturedEmployees": true
}

Sample output

{
"handle": "openai",
"kind": "company",
"url": "https://www.linkedin.com/company/openai/people/",
"companyUrl": "https://www.linkedin.com/company/openai/",
"companyName": "OpenAI",
"totalEmployees": 3200,
"insights": {
"locations": [
{ "label": "San Francisco Bay Area", "count": 1820 },
{ "label": "New York City Metropolitan Area", "count": 240 },
{ "label": "London Area, United Kingdom", "count": 180 }
],
"jobFunctions": [
{ "label": "Engineering", "count": 1450 },
{ "label": "Research", "count": 520 },
{ "label": "Operations", "count": 310 }
],
"skills": [
{ "label": "Machine Learning", "count": 920 },
{ "label": "Python", "count": 880 },
{ "label": "Deep Learning", "count": 640 }
],
"schools": [
{ "label": "Stanford University", "count": 210 },
{ "label": "UC Berkeley", "count": 140 }
]
},
"featuredEmployees": [
{
"name": "Sam Altman",
"title": "CEO at OpenAI",
"location": "San Francisco, California",
"profileUrl": "https://www.linkedin.com/in/samaltman/",
"photoUrl": "https://media.licdn.com/dms/image/..."
}
],
"scrapedAt": "2026-05-09T10:00:00.000Z"
}

Who uses this

RoleUse case
B2B salesScore target accounts by engineering vs sales headcount before outreach
RecruiterSurface top schools and skills for sourcing lookalike candidates
SourcerMap talent footprint by city to plan local outreach campaigns
FounderTrack competitor hiring trends and team composition over time
InvestorRead engineering ratio, location split, and growth signals into a watchlist
ABM leadCluster accounts by skill and function for tiered outbound plays

Input reference

FieldTypeWhat it does
companyUrlsstring[]LinkedIn company, school, or showcase URLs. Required.
includeInsightsbooleanKeep the locations, jobFunctions, skills, and schools distributions. Default true.
includeFeaturedEmployeesbooleanKeep the featured employee cards array. Default true.
concurrencyintegerCompanies processed in parallel. Six is the safe default.
proxyConfigurationobjectApify proxy. Residential is required at any meaningful volume.

API call

curl -X POST \
"https://api.apify.com/v2/acts/YOUR_USER~linkedin-company-employees-scraper/runs?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"companyUrls": [
"https://www.linkedin.com/company/microsoft/",
"https://www.linkedin.com/company/openai/"
]
}'

Pricing

The first few companies per run are free so you can validate output before paying. After that, each company row is charged. No surprise add on charges.


FAQ

No. The actor only touches LinkedIn's public people and landing pages. Your account is never touched.

Can I get the full employee list of a 50,000 person company?

No. The full employee list is gated behind a logged in session and is not exposed publicly. This actor returns the public distribution counts (locations, roles, skills, schools) plus whatever featured employee cards LinkedIn renders to anonymous visitors. For most companies that is a small set of profiles, not the whole roster.

What if the people page is gated for anonymous viewers?

The actor falls back to the company landing page and pulls total headcount and company name from JSON-LD and Open Graph tags. The insights and featured employee arrays may be empty in that path.

Can I scrape schools or showcase pages?

Yes. URLs in the form linkedin.com/school/{handle}/ and linkedin.com/showcase/{handle}/ are supported alongside linkedin.com/company/{handle}/.

How fresh is the data?

Each run hits the live people page, so headcount and distribution counts reflect what LinkedIn renders at scrape time. Schedule weekly runs to track hiring trends and team composition over time.

Is scraping LinkedIn allowed?

This actor reads HTML any anonymous web visitor can see. Respect LinkedIn's terms and rate limit sensibly. Do not redistribute personal data you have no lawful basis to process.


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