LinkedIn Company Employees Scraper ✅ No Cookies

LinkedIn Company Employees Scraper ✅ No Cookies

Find and export a company's employees on LinkedIn with rich people filters — location, current/past job title, seniority, function, industry, company size, years of experience and tenure. Get name, title, company, location, LinkedIn URL and a profile summary per person. Powered by the Neuralverge API. No cookies or account required.

Ideal for recruiting and sourcing, sales prospecting, market mapping and building targeted people lists.

✨ Why this Actor

• 🎯 Precise targeting — filter by location, job title, seniority, function, industry, company size and tenure to build exactly the list you need.
• 📇 Clean people table — one row per employee, ready for a spreadsheet, ATS, CRM or AI pipeline.
• 🍪 No cookies, login or account — never share LinkedIn credentials or risk account restrictions. Everything runs on the Neuralverge backend.
• ⚡ Real-time & structured — fresh data each run.

🔧 How it works

1. Provide one or more companies — a LinkedIn company URL (https://www.linkedin.com/company/revolut) and/or a plain name (Revolut).
2. Add filters (optional) — location, current/past title, seniority, function, industry, company size, years of experience, tenure — and a maxResults cap.
3. Run the Actor. The search and profile resolution happen on the Neuralverge backend, and you get one dataset row per employee. Export to CSV, JSON or Excel, or pull it over the Apify API.

Input

Field	Type	Notes
companies	array	LinkedIn company URL(s) and/or name(s) to search. Required.
searchQuery	string	Optional free-text keyword to match within profiles.
locations	array	Filter by location, e.g. London, Amsterdam.
currentJobTitleFilter	array	Filter by current job title, e.g. Recruiter.
pastJobTitle	array	Filter by a previously-held job title.
yearsOfExperienceFilter	array	Filter by total years of experience.
yearsAtCurrentCompanyFilter	array	Filter by tenure at the current company.
seniorityLevelFilter	array	Filter by seniority, e.g. Director, VP, CXO.
functionFilter	array	Filter by job function, e.g. Sales, Engineering.
industryIds	array	Filter by LinkedIn industry ID(s).
companyHeadcountFilter	array	Filter by company size band.
scraperMode	string	short (basic profile) or full (extended). Default short.
maxResults	integer	Maximum employees to return per run. Default 20.

{
  "companies": ["https://www.linkedin.com/company/revolut/?originalSubdomain=uk"],
  "maxResults": 20
}

What you'll receive

One dataset row per employee. Each row has the key fields flattened to top-level columns, plus the full currentPositions array:

• Identity — id, linkedinUrl, firstName, lastName, fullName, pictureUrl
• Current role — title, company, companyLinkedinUrl, tenureAtCompany
• Context — location, summary, premium, openProfile
• Full detail — currentPositions (every current role with description, tenure and start date)

Nulls are normal. Only fields present on the profile are filled — e.g. summary can be null. linkedinUrl uses LinkedIn's stable profile identifier.

Example output (real run)

One employee row from a search of https://www.linkedin.com/company/revolut/?originalSubdomain=uk. The human markdown summary and internal pagination metadata are produced by the system but omitted from the dataset.

{
  "id": "ACwAAAym4rQBF-7W8WWZe1z1leIO5TbcGu8_lv8",
  "linkedinUrl": "https://www.linkedin.com/in/ACwAAAym4rQBF-7W8WWZe1z1leIO5TbcGu8_lv8",
  "firstName": "Nicola",
  "lastName": "Vicino",
  "fullName": "Nicola Vicino",
  "title": "Head of Southern Europe and GM Italy",
  "company": "Revolut",
  "companyLinkedinUrl": "https://www.linkedin.com/company/5356541",
  "tenureAtCompany": "2y 2m",
  "location": "Milan, Lombardy, Italy",
  "summary": null,
  "premium": true,
  "openProfile": false,
  "pictureUrl": "https://media.licdn.com/dms/image/v2/D4D03AQEJzrIDiWt3PQ/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1733079245807?e=1785974400&v=beta&t=Dom9JK72gSeqmxcZ9x8EzcmH5B3UE5OKTYCeq-9XPSk",
  "currentPositions": [
    {
      "tenureAtPosition": {
        "numMonths": 3
      },
      "companyName": "Revolut",
      "description": "Broadened scope to cover also Spain, Portugal, Greece, and Croatia, serving a total of 15 million customers across the region.",
      "title": "Head of Southern Europe and GM Italy",
      "current": true,
      "tenureAtCompany": {
        "numYears": 2,
        "numMonths": 2
      },
      "startedOn": {
        "month": 5,
        "year": 2026
      },
      "companyId": "5356541",
      "companyLinkedinUrl": "https://www.linkedin.com/company/5356541"
    }
  ]
}

Genuine output from a live run — one of 20 employees returned for this search.

Pricing — pay per event

This Actor uses Apify Pay-Per-Event:

Event	Price
Search run (per run)	$0.030
Employee returned (per profile)	$0.005

A run that returns 20 employees costs $0.030 + 20 × $0.005 = $0.130. The per-run search fee applies to every run; per-employee fees apply only to employees actually returned. Pricing is on top of your Apify platform usage.

Integrations & API

Results are stored in a standard Apify dataset — export as CSV, JSON, XML or Excel, or fetch on demand through the Apify API. The Actor also plugs into Apify's integrations (Make, Zapier, n8n, webhooks) and can be called from any MCP client.

FAQ

Do I need a LinkedIn account or cookies? No. Everything runs on the Neuralverge backend — you never provide credentials or a session.

Can I search several companies at once? Yes — pass multiple company URLs or names in companies.

How do I get full profiles or emails? This Actor returns a company-employee list. Feed a returned linkedinUrl into the LinkedIn Profile or LinkedIn Email actor for the full profile or a work email.

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Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of LinkedIn Corporation. All trademarks are property of their respective owners.