LinkedIn Employees Scraper

Extract employees, past employees, and alumni from any LinkedIn company or school URL. Get clean, structured profiles — name, title, location, education, experience, profile link, and more — ready for CRMs, recruiting workflows, and AI agents.

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What it does

Paste one or more LinkedIn company or school URLs. The actor returns a structured list of people associated with those pages. Optionally filter by job title or country.

No LinkedIn login, cookies, or browser setup required.

When to use it

• Recruiters building targeted candidate lists
• Sales teams finding decision-makers at target accounts
• Researchers mapping organizations or alumni networks
• AI agents that need a typed dataset of LinkedIn profiles

Highlights

• Fast — large result sets in about a minute for typical runs
• Multi-language — works across major languages for names, titles, education, location, and follower counts
• Tenure labels — each person is tagged current, past, or unknown so you can split alumni from current staff in your own tools
• Extra coverage — a secondary people directory back-fills missing titles/locations and surfaces people LinkedIn may have missed (employees mode only)
• Clean output — schema-validated records for CRMs, spreadsheets, and agents

How to use it

1. Open the actor on Apify.
2. Paste one or more company or school URLs.
3. (Optional) Choose a mode, job titles, and/or country.
4. Click Start. Download results as JSON, CSV, or Excel from the Storage tab.

Supported URL formats

• ✅ https://www.linkedin.com/company/microsoft/
• ✅ https://www.linkedin.com/school/harvard-university/
• ✅ Scheme-less or without www (e.g. linkedin.com/company/microsoft) — these are normalized automatically
• ❌ Numeric company IDs (e.g. /company/154XXX/) — use the public slug URL instead

Inputs

Field	Type	Required	Default	Description
companyUrls	string[]	yes	—	LinkedIn company or school URLs.
maxResultsPerCompany	integer	yes	20	Maximum people returned per URL.
designation	string[]	no	[]	Only include people whose title matches one of these roles. Leave empty for no title filter.
onlyVerified	boolean	no	true	Only return people whose profile clearly matches the company/school (including brand variants). Turn off to include lower-confidence matches.
mode	"auto" | "employees" | "alumni"	no	"auto"	Usually leave on Auto. Auto uses employees for company URLs and alumni for school URLs. Every result still includes a tenure label so you can filter further yourself.
alumniDeepScan	integer (0–250)	no	25	In alumni mode, spend extra effort finding more long-tail profiles. Higher = more coverage and cost. 0 turns this off.
country	string (ISO-2)	no	—	Prefer people based in this country.

Sample input

{
    "companyUrls": [
        "https://www.linkedin.com/company/microsoft/",
        "https://www.linkedin.com/school/harvard-university/"
    ],
    "designation": ["CEO", "CTO", "Engineering Manager"],
    "maxResultsPerCompany": 200,
    "mode": "auto",
    "country": "US"
}

Outputs

Field	Type	Description
thumbnail	string (URL)	Profile picture when available.
name	string	Full name.
first_name / last_name	string	First and last name.
company	string	Company associated with the profile.
designation	string	Job title. - when unknown.
experience / education / location	string	Profile snippets. - when unknown.
followers	string	Follower / connection count when available.
link	string (URL)	LinkedIn profile URL.
verified	string	✅ when the profile looks like a match for the company you requested; ❌ otherwise.
tenure	"current" | "past" | "unknown"	Whether they appear to be current staff, alumni/past, or unclear. Use this in your own filters if you need current-only or past-only lists.
source	string	linkedin, directory, or linkedin+directory — where the record came from.

Sample output

[
    {
        "thumbnail": "https://media.licdn.com/...jpg",
        "name": "Amy Doe",
        "first_name": "Amy",
        "last_name": "Doe",
        "company": "Microsoft",
        "designation": "Chief Product Officer",
        "education": "Stanford University",
        "experience": "Microsoft, Google",
        "location": "San Francisco, California",
        "followers": "5,200",
        "link": "https://www.linkedin.com/in/amy-doe-...",
        "verified": "✅",
        "tenure": "current",
        "source": "linkedin"
    }
]

Pricing & limits

Pay-per-event:

Event	Price	When
data_request	$0.02	Per real person written to your dataset. Free-plan sample / upgrade-hint rows are not billed.
platform_usage	$0.001	Small top-up that tracks the run’s actual Apify platform cost.

You can cap spend per run with Apify’s actorMaxPaidDatasetItems setting.

• Free Apify plan: a short sample of real results per company; further rows show an upgrade hint. Free users only use monthly free credit.
• Paid plans: full results up to maxResultsPerCompany.

Programmatic usage

Node.js:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('caprolok/linkedin-employees-scraper').call({
    companyUrls: ['https://www.linkedin.com/company/microsoft'],
    maxResultsPerCompany: 50,
    mode: 'employees',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("caprolok/linkedin-employees-scraper").call(run_input={
    "companyUrls": ["https://www.linkedin.com/school/harvard-university"],
    "maxResultsPerCompany": 100,
    "mode": "alumni",
    "alumniDeepScan": 25,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

cURL:

curl -X POST "https://api.apify.com/v2/acts/caprolok~linkedin-employees-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
    -H "Content-Type: application/json" \
    -d '{"companyUrls":["https://www.linkedin.com/company/microsoft"],"maxResultsPerCompany":20}'

MCP (Model Context Protocol)

Use this actor from AI agents via the Apify MCP server (stdio or https://mcp.apify.com with your Apify token). Input and output schemas are published with the actor so agents can call it with typed arguments.

Integrations

Works with Make, Zapier, Airbyte, Slack, Google Sheets, GitHub, cloud storage, webhooks, and anything that can call the Apify API.

Troubleshooting

Symptom	What to try
Company not found	Use a public /company/<slug> or /school/<slug> URL (not a numeric ID).
Zero results	Relax country / designation, or try again later.
Many ❌ verified rows	Turn on Only verified matches, or narrow with job titles.
Alumni results look thin	Raise maxResultsPerCompany and/or alumniDeepScan.

Questions or bugs: use the actor Issues tab.

Related actors

LinkedIn Company URL Retriever	Build lists of company URLs.
LinkedIn People URL Retriever	Resolve names to profile URLs.