# LinkedIn Company Employees Scraper (`velveted_staysail/linkedin-company-employees`) Actor

Extract employee names, titles, and LinkedIn profiles from any company page. Uses public search data — no login or cookies required. Free tier: first 10 results. Paid: $0.003/profile after free tier.

- **URL**: https://apify.com/velveted\_staysail/linkedin-company-employees.md
- **Developed by:** [FASTEEDAPPS](https://apify.com/velveted_staysail) (community)
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## LinkedIn Company Employees Scraper

Extract employee names, titles, and LinkedIn profiles from any company page using public search data. No login or cookies required.

### Features

- Extracts employee **name**, **job title**, and **LinkedIn profile URL**
- Works with any LinkedIn company page URL
- Uses public search engines (Google, Bing, Yahoo) — no login needed
- **Free tier**: First 10 results free
- **Pricing**: $0.003/profile after free tier
- Deduplicates results across multiple search engines
- Returns structured dataset ready for export

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `companyUrl` | string | required | LinkedIn company page URL (e.g., https://www.linkedin.com/company/google) |
| `maxResults` | integer | 100 | Maximum number of employee profiles to extract (1-10000) |
| `freeTierLimit` | integer | 10 | Number of free results before per-profile pricing applies |

### Output

Each dataset item contains:

| Field | Description |
|-------|-------------|
| `name` | Employee full name |
| `title` | Job title/position |
| `profileUrl` | Direct LinkedIn profile URL |
| `snippet` | Search result snippet text |
| `source` | Search engine (google/bing/yahoo) |
| `company` | Extracted company name |
| `companyUrl` | Original company URL |
| `extractedAt` | Timestamp of extraction |
| `isFree` | Whether this result was in free tier |
| `chargeAmount` | USD charge for this profile (0 if free) |

### Pricing

- **Free tier**: 10 profiles included per run
- **Pay-per-result**: $0.003 per additional profile
- Example: 50 profiles = 10 free + 40 paid = $0.12

### Usage Examples

#### Basic

```json
{
  "companyUrl": "https://www.linkedin.com/company/google"
}
```

#### Limit results

```json
{
  "companyUrl": "https://www.linkedin.com/company/microsoft",
  "maxResults": 50
}
```

### Notes

- Results depend on LinkedIn profile visibility in public search
- Profiles must be public or have public snippets available
- No authentication required — uses public data only
- Rate-limited to be respectful to search engines
- Results may vary based on search engine coverage

### Compliance

This actor extracts only publicly available data from search engines. Users are responsible for complying with applicable data protection laws (GDPR, CCPA, etc.) and LinkedIn's Terms of Service.

# Actor input Schema

## `companyUrl` (type: `string`):

The LinkedIn company page URL (e.g., https://www.linkedin.com/company/google)

## `maxResults` (type: `integer`):

Maximum number of employee profiles to extract (default: 100)

## `freeTierLimit` (type: `integer`):

Number of free results included before per-profile pricing applies

## Actor input object example

```json
{
  "companyUrl": "https://www.linkedin.com/company/google",
  "maxResults": 100,
  "freeTierLimit": 10
}
```

# Actor output Schema

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

Employee profiles extracted from LinkedIn company page. Check the run's dataset for structured data.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("velveted_staysail/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("velveted_staysail/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 '{}' |
apify call velveted_staysail/linkedin-company-employees --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,velveted_staysail/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/zdFWhmLAyyPzrOcn3/builds/XaGcOMu7DqSGQELB0/openapi.json