LinkedIn Company Employees Scraper

LinkedIn Company Employees Scraper: the people who work at a company, from public profiles only

Give it a company page URL or just the company name and get one row per person: full name, headline, job title, location and their profile link. No account, no cookies, no login.

Here is the thing to understand before you buy. LinkedIn hides a company's employee list from anyone who is not signed in, so there is no list to read. This works from public profile pages instead, which means you get the people whose profiles are publicly visible, not the org chart. For a large employer that is usually a few hundred rather than the tens of thousands the company page claims. If you need the complete roster, this is the wrong purchase, however cheap it is.

🏢 What LinkedIn Company Employees Scraper does

You can hand it https://www.linkedin.com/company/stripe or just Stripe. With a URL it reads the company page first to get the real display name, so a slug like acme-holdings-ltd comes back as the name people actually write.

Each person is judged on the public text of their own profile. matchStrength says which way it went: employer means the text names this company as where they work, mention means the company merely appears somewhere. Only employer rows come back unless you turn on Also keep people who only mention the company, which adds consultants, partners, alumni and anyone else who names it.

That judgement is made on words. A headline reading "Shopify Engineer at Peloton" counts as Peloton, and a past-tense "ex-Stripe" never counts. Someone who left months ago and never updated their headline still does.

The job title and location filters run before anything is charged, so narrowing down costs you nothing.

📥 What you give it

{
  "companies": ["https://www.linkedin.com/company/stripe"],
  "jobTitles": ["Software Engineer", "Engineering Manager"],
  "locations": ["London"],
  "resultsLimit": 25
}

Everything here is optional, and the form arrives with starting values rather than schema defaults, so clearing a box is not the same as choosing what the form showed.

Leave Companies empty and you get one labelled sample row, so you can see the shape before committing a real run.

📤 What you get back

A real row from a real run, with one internal field left out:

{
  "ok": true,
  "_sample": false,
  "charged": true,
  "companyName": "Stripe",
  "companyUrl": "https://www.linkedin.com/company/stripe",
  "fullName": "Patrick Collison",
  "firstName": "Patrick",
  "lastName": "Collison",
  "headline": "Stripe CEO",
  "currentTitle": "CEO",
  "location": null,
  "profileUrl": "https://www.linkedin.com/in/patrickcollison",
  "publicIdentifier": "patrickcollison",
  "currentCompany": "Stripe",
  "education": null,
  "matchStrength": "employer",
  "source": "linkedin-public-profile",
  "retrievedAt": "2026-09-21T01:45:18.534Z"
}

🧾 Reading the output

Filter on charged == true and you have your people. Treat that flag as what tells a real row apart from a sample or a diagnostic, not as a receipt for what was billed.

Rows stream out as they are found, so a long run fills the dataset as it goes.

A diagnostic row carries company rather than companyName, so it reads as a nearly empty line in the table view.

▶️ How to run it

1. Open LinkedIn Company Employees Scraper and click Try for free. 2. Put company page URLs or names into Companies, one per line. 3. Set Maximum employees low while you are testing, since that is what you pay for. 4. Add Job title filter and Location filter words if you only want part of the staff. Filtering costs nothing. 5. Click Start, then download the dataset as JSON, CSV or Excel, or pull it from the Apify API.

💰 How much does it cost?

$1.80 per 1,000 employees. Flat on every Apify plan, no volume tiers.

Maximum employees is the number that decides your bill, and it applies to the whole run rather than to each company, so three companies and a limit of 25 gives you 25 people in total.

People removed by your title or location filters are not charged. Neither are mention-only people while Also keep people who only mention the company is off, nor diagnostic rows, nor the sample row. A person found under two of your companies is charged once.

💡 What people use it for

• Building an account-based prospect list: pick the companies, filter to the titles you sell to.
• Recruiting: filter by title and city to see who does that job at the companies you hire against.
• Checking a list you have: diff publicIdentifier against your CRM to see who left and who is new.
• Partner research, with mentions on, which surfaces the people around a company rather than in it.

🚧 What it does not do

• It is not a staff directory. Only publicly visible profiles are reachable, and for a large

employer that means a few hundred people, not the headcount on the company page.

• No contact details. No e-mail, no phone, no connection count, no skills, no full job history.
• location and education are often null, because the public snippet does not always carry

them.

• currentTitle is read out of the headline, so a creative headline gives a rough title or none.
• Someone who has left may still appear. The judgement is made on what their profile says today,

and plenty of people do not update it.

• resultsLimit is run-wide. Twenty companies and a limit of 50 does not give you 50 each.
• **In a run covering several companies, a person who was already seen and skipped for one company

is not returned again for another**, even when they would have qualified there.

• It reads what LinkedIn shows a signed-out visitor, so it can never see anything private.

🧭 Which LinkedIn scraper do you need?

❓ Questions people ask

Do I need a LinkedIn account? No, and that is the point. Nothing here asks you to sign in or hand over cookies.

Why did I get 200 people from a company with 8,000 staff? Because only publicly visible profiles can be reached without signing in, and that is everyone's view, not ours in particular.

Can I get their e-mail addresses? No. Nothing on a public profile page carries one, and this does not guess or buy them.

What is the difference between employer and mention? employer means their public text names this company as where they work. mention means it just appears somewhere on the profile.

Is scraping LinkedIn legal? This reads public pages only, never anything behind a login. Results contain personal data, which GDPR, CCPA and similar laws cover, so you need a lawful reason to collect it and to contact anyone. Apify's write-up on the legality of web scraping is a reasonable starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Include the companies you used and the run id. The diagnostic rows in your dataset usually name the reason already.