# LinkedIn Company & Employee Find | X-Ray | No Login & 🍪 | Bulk (`aeonkosmos/linkedin-people-search`) Actor

Find LinkedIn company pages by keyword and discover employees at any company. No login, no cookies, zero ban risk. X-ray powered.
Bulk search 100 companies per run. Returns company URLs, employee profiles with name and headline.

- **URL**: https://apify.com/aeonkosmos/linkedin-people-search.md
- **Developed by:** [Eugene Volper](https://apify.com/aeonkosmos) (community)
- **Categories:** Lead generation, Social media
- **Stats:** 213 total users, 4 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.70 / 1,000 results

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/platform/actors/running/actors-in-store#pay-per-event

## 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

../README.md

# Actor input Schema

## `service` (type: `string`):

Which search service to use

## `keyword` (type: `string`):

Company name or keyword to search for on LinkedIn

## `companyPattern` (type: `string`):

How to construct the search query

## `companyCountries` (type: `string`):

Comma-separated country codes (e.g. uk, us, de). Leave empty for global search.

## `companyMaxResults` (type: `integer`):

Max company profiles to return. Default 100. You pay per result.

## `companyName` (type: `string`):

Exact company name as it appears on LinkedIn (e.g., 'National Bank of Canada'). Returns all employees whose LinkedIn profile has this company in their title — filter by role on your side.

## `employeePattern` (type: `string`):

How to construct the search query. Start with Pattern 1 (strictest).

## `employeeCountries` (type: `string`):

Comma-separated country codes (e.g. uk, us, de). Leave empty for global search.

## `employeeMaxResults` (type: `integer`):

Max employee profiles to return. Default 100. You pay per profile.

## `bulkKeywords` (type: `string`):

One keyword per line. Each keyword = separate company search.

Example:
OpenAI
Anthropic
Google DeepMind
Meta AI

## `bulkCompanyCountries` (type: `string`):

Comma-separated country codes. Applied to every keyword. Leave empty for global.

Example: uk, us, de

## `bulkCompanyPattern` (type: `string`):

How to construct the search query

## `bulkCompanyMaxResults` (type: `integer`):

Max company profiles per keyword. Default 100. You pay per result.

## `bulkCompanies` (type: `string`):

One company per line. Format: CompanyName, Country (country optional).

Example:
Marriott International
Hilton Worldwide, uk
Google
Amazon

## `bulkEmployeePattern` (type: `string`):

How to construct the search query. Start with Pattern 1 (strictest).

## `bulkMaxResultsPerCompany` (type: `integer`):

Max employee profiles per company. Default 100. You pay per profile.

## `bulkDelayMs` (type: `integer`):

Milliseconds to wait between searches. Lower = faster but may hit rate limits.

## `loadAll` (type: `boolean`):

Automatically paginate to load all results up to your max limit. If OFF, returns only the first page (up to 10).

## Actor input object example

```json
{
  "service": "companies",
  "keyword": "OpenAI",
  "companyPattern": "4",
  "companyMaxResults": 100,
  "employeePattern": "1",
  "employeeMaxResults": 100,
  "bulkCompanyPattern": "4",
  "bulkCompanyMaxResults": 100,
  "bulkEmployeePattern": "1",
  "bulkMaxResultsPerCompany": 100,
  "bulkDelayMs": 1500,
  "loadAll": false
}
```

# 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 = {
    "keyword": "OpenAI"
};

// Run the Actor and wait for it to finish
const run = await client.actor("aeonkosmos/linkedin-people-search").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 = { "keyword": "OpenAI" }

# Run the Actor and wait for it to finish
run = client.actor("aeonkosmos/linkedin-people-search").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "keyword": "OpenAI"
}' |
apify call aeonkosmos/linkedin-people-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=aeonkosmos/linkedin-people-search",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/3mJyrWlRhjpoGhL6T/builds/vRL5hmr5hSWQ7ZnaR/openapi.json