# LinkedIn Company Employees (`data-slayer/linkedin-company-employees`) Actor

Get the people who work at one or more LinkedIn companies, with optional title, seniority, function and location filters. No cookies.

- **URL**: https://apify.com/data-slayer/linkedin-company-employees.md
- **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community)
- **Categories:** Lead generation, Social media, Business
- **Stats:** 3 total users, 2 monthly users, 45.8% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$4.00 / 1,000 employees

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## LinkedIn Company Employees

Get the people who work at one or more LinkedIn companies. Paste company URLs, optionally narrow by title, seniority, function or location, and export each person's name, title, company, location and profile URL to JSON, CSV, or Excel. No LinkedIn login, no cookies.

**Cookieless · Fresh data · No LinkedIn login or account risk.**

### Watch the demo

Video tutorial coming soon.

### What you get

Each employee in the dataset includes:

- `full_name`, `first_name`, `last_name`
- `title` — current job title
- `company` — current company
- `location`
- `profile_url` — LinkedIn profile URL
- `summary`, `profile_picture`, `open_link`
- `tenure_years` / `tenure_months`
- plus `input_page` and `fetched_at`

Output example:

```json
{
  "full_name": "Jesse Schulman",
  "first_name": "Jesse",
  "last_name": "Schulman",
  "title": "VP of Engineering",
  "company": "Microsoft",
  "location": "Oceanside, California, United States",
  "profile_url": "https://www.linkedin.com/in/jesse-schulman",
  "summary": "Engineering leader focused on...",
  "tenure_years": 3,
  "tenure_months": 38,
  "profile_picture": "https://media.licdn.com/...",
  "open_link": false,
  "input_page": 1,
  "fetched_at": "2026-09-24T00:00:00Z"
}
```

### Input

| Field | Type | Required | What it does |
|---|---|---|---|
| `company_urls` | array | Yes | Company URLs or slugs, e.g. `https://www.linkedin.com/company/microsoft/` or `microsoft` |
| `job_title` | array | No | Filter by job title |
| `seniority` | array | No | Filter by seniority, e.g. `CXO`, `Vice President`, `Director` |
| `function` | array | No | Filter by function, e.g. `Engineering` |
| `location` | array | No | Filter by location |
| `max_results` | integer | No | Maximum results (default 100; 0 = no limit) |

### How to use it

1. Paste one or more company URLs or slugs (up to 50 companies per run).
2. Optionally filter by job title, seniority, function and location.
3. Set **Maximum results** (default 100; 0 = no limit) and click **Start**.

Example — engineering leaders at Microsoft and Google:

```json
{
  "company_urls": [
    "https://www.linkedin.com/company/microsoft/",
    "https://www.linkedin.com/company/google/"
  ],
  "function": ["Engineering"],
  "seniority": ["CXO", "Vice President", "Director"],
  "max_results": 200
}
```

### Use cases

- **Account mapping** — build a stakeholder map for a target account before outreach.
- **Recruiting** — source candidates by function and seniority at specific companies.
- **Competitive research** — understand a competitor's team structure and size.
- **ABM list building** — get every relevant person at your target accounts.
- **CRM enrichment** — feed company and person data into your CRM.

### Pricing

**$4 per 1,000 employees** ($0.004 per result). You are charged only for employees actually returned. Results are delivered 25 per page. No subscription, no per-seat fees.

### Integrations

- **API** — trigger runs and fetch results programmatically
- **Scheduling** — daily, weekly or custom recurring scrapes
- **Webhooks** — get notified when a run completes
- **Make** and **Zapier** — connect to 1,000+ apps
- **Google Sheets** — pipe results straight into a spreadsheet
- **MCP** — use the actor as a tool inside Claude, Cursor or any MCP-compatible AI agent

### Other LinkedIn Actors by data-slayer

| Actor | What it does |
|---|---|
| [LinkedIn Company Search (ICP)](https://apify.com/data-slayer/linkedin-company-search) | Find companies by industry, size, location and tech stack |
| [LinkedIn Company Scraper](https://apify.com/data-slayer/linkedin-company-scraper) | Full company profile data |
| [LinkedIn Company Posts Scraper](https://apify.com/data-slayer/linkedin-company-posts-scraper) | Recent posts from any company page |
| [LinkedIn People Search (ICP)](https://apify.com/data-slayer/linkedin-people-search) | Find people by title, seniority, function, company, location |
| [LinkedIn Profile Scraper](https://apify.com/data-slayer/linkedin-profile-scraper) | Full profile data from any LinkedIn profile URL |
| [LinkedIn Job Scraper](https://apify.com/data-slayer/linkedin-job-scraper) | Full details for LinkedIn job postings |
| [LinkedIn Job Change Tracker](https://apify.com/data-slayer/linkedin-job-change-tracker) | People who recently changed jobs |
| [LinkedIn Profile Posts Scraper](https://apify.com/data-slayer/linkedin-profile-posts-scraper) | Recent posts from a profile, with engagement metrics |
| [LinkedIn Post Performance Scraper](https://apify.com/data-slayer/linkedin-post-analytics-scraper) | Likes, comments, shares and reaction breakdown for any post |
| [LinkedIn Post Engagers Scraper](https://apify.com/data-slayer/linkedin-post-engagers-email-finder-no-cookies) | Everyone who engaged with a post — commenters, reactors, reposters |
| [LinkedIn Post Comments Scraper](https://apify.com/data-slayer/linkedin-post-comments) | Every comment on a post, with commenter profiles |
| [LinkedIn Post Reactions Scraper](https://apify.com/data-slayer/linkedin-post-reactions) | Everyone who reacted to a post, with reactor profiles |
| [LinkedIn Post Reposts Scraper](https://apify.com/data-slayer/linkedin-post-reposts) | Everyone who reposted or shared a post |
| [LinkedIn Profile Engagers Scraper](https://apify.com/data-slayer/linkedin-audience-email-finder-no-cookies) | Everyone who engaged across a profile's recent posts, ranked by engagement |
| [LinkedIn Profile Reactions Scraper](https://apify.com/data-slayer/linkedin-profile-reactions) | Reactions a profile left on other people's posts |
| [LinkedIn Profile Comments Scraper](https://apify.com/data-slayer/linkedin-profile-comments) | Comments a profile left on other people's posts |

### Which LinkedIn actor should I use?

| I have… | And I want… | Use |
|---|---|---|
| A company URL | Its employees, by title/seniority/function | LinkedIn Company Employees |
| A company URL | Full company profile | LinkedIn Company Scraper |
| A company URL | Recent company posts | LinkedIn Company Posts Scraper |
| Search filters | Companies matching an ICP | LinkedIn Company Search (ICP) |
| Search filters | People matching an ICP | LinkedIn People Search (ICP) |
| Profile URL(s) | Full profile data | LinkedIn Profile Scraper |

### FAQ

#### Can I get employees of a company without login or cookies?

Yes. The actor uses public data — no LinkedIn account, session cookies or browser extension.

#### Can I filter by job title?

Yes — combine job title, seniority, function and location to target exactly the roles you need.

#### How many companies can I scan at once?

Up to 50 companies per run. Results are merged and de-duplicated across pages.

#### How many employees can I get?

Set `max_results` (default 100; 0 for no limit). Results are returned 25 per page.

#### Can I get full profiles for these employees?

Yes. Pass the resulting `profile_url` values into the LinkedIn Profile Scraper for full profile data.

#### Is this a LinkedIn company employees API?

Yes. Call the actor through the Apify API, receive a run ID, and retrieve structured results from the default dataset.

#### How much does it cost?

$0.004 per employee — **$4 per 1,000 employees**.

### Limits and data notes

- Up to 50 companies per run; results are merged and de-duplicated across pages.
- Field availability varies by profile.
- Only process data you are permitted to use and comply with applicable laws and platform terms.

### Feedback and support

Found a bug or need a filter added? Open an issue on the actor's Apify page and it will be reviewed.

### Related actors

More from the same portfolio. Apify only auto-recommends actors in the same category, so here are the rest of ours:

| Actor | What it does |
|---|---|
| [LinkedIn Account Intent Feed](https://apify.com/data-slayer/linkedin-account-intent-feed) | LinkedIn workflow |
| [LinkedIn Buying-Committee Mapper](https://apify.com/data-slayer/linkedin-buying-committee-mapper) | LinkedIn workflow |
| [LinkedIn Champion Tracker](https://apify.com/data-slayer/linkedin-champion-job-change-tracker) | LinkedIn workflow |
| [LinkedIn Company Posts Scraper](https://apify.com/data-slayer/linkedin-company-posts-scraper) | LinkedIn workflow |
| [LinkedIn Company Scraper](https://apify.com/data-slayer/linkedin-company-scraper) | LinkedIn workflow |
| [LinkedIn Company Search (ICP)](https://apify.com/data-slayer/linkedin-company-search) | LinkedIn workflow |
| [LinkedIn Competitor Content Intelligence](https://apify.com/data-slayer/linkedin-competitor-content-intelligence) | LinkedIn workflow |
| [LinkedIn Competitor Hijack Leads](https://apify.com/data-slayer/linkedin-competitor-hijack-leads) | LinkedIn workflow |
| [LinkedIn Engagement Audience Builder](https://apify.com/data-slayer/linkedin-engagement-audience-builder) | LinkedIn workflow |
| [LinkedIn Executive Post Monitor](https://apify.com/data-slayer/linkedin-executive-post-monitor) | LinkedIn workflow |
| [LinkedIn Hiring Pulse](https://apify.com/data-slayer/linkedin-hiring-pulse) | LinkedIn workflow |
| [LinkedIn Job Change Tracker](https://apify.com/data-slayer/linkedin-job-change-tracker) | LinkedIn workflow |
| [LinkedIn Job Scraper](https://apify.com/data-slayer/linkedin-job-scraper) | LinkedIn workflow |
| [LinkedIn Market Map Builder](https://apify.com/data-slayer/linkedin-market-map-builder) | LinkedIn workflow |
| [LinkedIn People Search (ICP)](https://apify.com/data-slayer/linkedin-people-search) | LinkedIn workflow |
| [LinkedIn Post Comments](https://apify.com/data-slayer/linkedin-post-comments) | LinkedIn workflow |
| [LinkedIn Post Engagers Scraper](https://apify.com/data-slayer/linkedin-post-engagers-email-finder-no-cookies) | LinkedIn workflow |
| [LinkedIn Post Performance Scraper](https://apify.com/data-slayer/linkedin-post-analytics-scraper) | LinkedIn workflow |
| [LinkedIn Post Reactions](https://apify.com/data-slayer/linkedin-post-reactions) | LinkedIn workflow |
| [LinkedIn Post Reposts](https://apify.com/data-slayer/linkedin-post-reposts) | LinkedIn workflow |
| [LinkedIn Profile Comments](https://apify.com/data-slayer/linkedin-profile-comments) | LinkedIn workflow |
| [LinkedIn Profile Engagers Scraper](https://apify.com/data-slayer/linkedin-audience-email-finder-no-cookies) | LinkedIn workflow |
| [LinkedIn Profile Posts Scraper](https://apify.com/data-slayer/linkedin-profile-posts-scraper) | LinkedIn workflow |
| [LinkedIn Profile Reactions](https://apify.com/data-slayer/linkedin-profile-reactions) | LinkedIn workflow |
| [LinkedIn Profile Scraper · Fresh · No Cookies](https://apify.com/data-slayer/linkedin-profile-scraper) | LinkedIn workflow |
| [LinkedIn Skill Mapper](https://apify.com/data-slayer/linkedin-skill-mapper) | LinkedIn workflow |
| [LinkedIn Talent Flow Mapper](https://apify.com/data-slayer/linkedin-talent-flow-mapper) | LinkedIn workflow |
| [LinkedIn Talent Mapper](https://apify.com/data-slayer/linkedin-talent-mapper) | LinkedIn workflow |
| [LinkedIn Warm Path Finder](https://apify.com/data-slayer/linkedin-warm-path-finder) | LinkedIn workflow |
| [LinkedIn Why-Now Account Brief](https://apify.com/data-slayer/linkedin-why-now-account-brief) | LinkedIn workflow |

# Actor input Schema

## `company_urls` (type: `array`):

Required. LinkedIn company page URLs (e.g. https://www.linkedin.com/company/microsoft/) or bare slugs (e.g. microsoft). Add up to 50 companies.

## `job_title` (type: `array`):

Filter employees by job title, e.g. CTO or Chief Technology Officer.

## `seniority` (type: `array`):

Filter employees by seniority level, e.g. CXO, Vice President, Director.

## `function` (type: `array`):

Filter employees by department/function, e.g. Engineering, Marketing, Sales, Finance, Operations, Product Management.

## `location` (type: `array`):

Filter employees by city, region, or country, e.g. San Francisco or United Kingdom.

## `max_results` (type: `integer`):

Maximum number of employees to save. Enter 0 for no limit (up to a 60-page safety cap; 25 results per page).

## Actor input object example

```json
{
  "company_urls": [
    "https://www.linkedin.com/company/microsoft/"
  ],
  "job_title": [],
  "seniority": [],
  "function": [],
  "location": [],
  "max_results": 100
}
```

# Actor output Schema

## `results` (type: `string`):

One dataset item per employee profile.

## `run_summary` (type: `string`):

Per-run status, filters and counts.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "company_urls": [
        "https://www.linkedin.com/company/microsoft/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("data-slayer/linkedin-company-employees").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "company_urls": ["https://www.linkedin.com/company/microsoft/"] }

# Run the Actor and wait for it to finish
run = client.actor("data-slayer/linkedin-company-employees").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "company_urls": [
    "https://www.linkedin.com/company/microsoft/"
  ]
}' |
apify call data-slayer/linkedin-company-employees --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,data-slayer/linkedin-company-employees"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/FpfOAZ4ylJ8ErNwnM/builds/Xi4PfybbHdvmiftKT/openapi.json