# LinkedIn Company Employees Scraper + Email (No Cookies) (`bulkleads/company-employees-scraper`) Actor

LinkedIn company employees scraper with emails: a company's people from its LinkedIn page, website or name, each with job title, LinkedIn profile URL and work email. $1.14 per 1,000 employees. No cookies or LinkedIn login.

- **URL**: https://apify.com/bulkleads/company-employees-scraper.md
- **Developed by:** [bulkleads](https://apify.com/bulkleads) (community)
- **Categories:** Lead generation, Social media
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.05 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Scraper** lists the people who work at any company, from its **LinkedIn company page, website domain or name**, each with job title, LinkedIn profile URL and **work email**. It draws on a database of **380M+ professional profiles** and needs no cookies or LinkedIn account. It costs **$1.14 per 1,000 employees**, email included.

### What data does each employee include?

- Full name, job title, seniority, department and LinkedIn profile URL
- Work email with its check status and date, plus a mobile number where we have one
- Company name, domain, LinkedIn page, industry, size and location
- `searched_company`: which of your companies the person was found for

### How to get a company's employees

1. Paste **Companies**, one per line: `https://www.linkedin.com/company/stripe`, `shopify.com` or just `Notion`.
2. Optionally keep only certain **Job titles**, seniority, departments or countries.
3. Set **Max employees per company** and click **Start**.

LinkedIn pages and names are matched to the company's website first, so people are found by where they really work. Companies we can't match are listed in the run log and cost nothing.

### Output example

```json
{
  "searched_company": "stripe.com",
  "full_name": "Jane Doe",
  "title": "Account Executive",
  "department": "sales",
  "linkedin_url": "http://www.linkedin.com/in/janedoe",
  "email": "jane.doe@stripe.com",
  "email_status": "valid",
  "company_name": "Stripe",
  "company_size": "5001-10000"
}
```

### How much does it cost?

**$1.14 per 1,000 employees, email included.** 10,000 employees cost $11.40. Only employees with a work email are returned and charged.

### FAQ

**Do I need a LinkedIn account or cookies?** No. Nothing logs in to LinkedIn.

**Will I get every employee?** You get every employee in our database with a work email. Very small companies may return only a few people.

### Related actors

Search people by title and location instead with [LinkedIn Profile Search](https://apify.com/bulkleads/linkedin-people-search). Check emails again with [Bulk Email Verifier](https://apify.com/bulkleads/bulk-email-verifier).

# Actor input Schema

## `companies` (type: `array`):

LinkedIn company URLs, website domains or company names, one per line.

## `jobTitles` (type: `array`):

Only employees with these titles (optional), e.g. Sales, Marketing.

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

c_suite, vp, director, manager, owner, founder, head, partner, senior, entry (optional).

## `department` (type: `array`):

e.g. sales, marketing, engineering (optional).

## `country` (type: `array`):

Employee country (optional).

## `includeInvalidEmails` (type: `boolean`):

Off by default: employees whose email our checker found invalid are left out and never charged.

## `maxPerCompany` (type: `integer`):

Max employees per company.

## Actor input object example

```json
{
  "companies": [
    "https://www.linkedin.com/company/stripe",
    "shopify.com"
  ],
  "includeInvalidEmails": false,
  "maxPerCompany": 100
}
```

# Actor output Schema

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

No description

# 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 = {
    "companies": [
        "https://www.linkedin.com/company/stripe",
        "shopify.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("bulkleads/company-employees-scraper").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 = { "companies": [
        "https://www.linkedin.com/company/stripe",
        "shopify.com",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("bulkleads/company-employees-scraper").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 '{
  "companies": [
    "https://www.linkedin.com/company/stripe",
    "shopify.com"
  ]
}' |
apify call bulkleads/company-employees-scraper --silent --output-dataset

```

## MCP server setup

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

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/3a7F7NCIjtHNkNkto/builds/kK4nT5iM3n5d0kUJS/openapi.json