# Linkedin Company Scraper (`freshdata/linkedin-company-scraper`) Actor

Get real-time LinkedIn company data, including funding info, domain, follower count, specialties and more.

- **URL**: https://apify.com/freshdata/linkedin-company-scraper.md
- **Developed by:** [FreshData](https://apify.com/freshdata) (community)
- **Categories:** Developer tools, Other
- **Stats:** 337 total users, 3 monthly users, 100.0% runs succeeded, 6 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

$8.00 / 1,000 processing data

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?

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 Scraper

The **LinkedIn Company Scraper** is a powerful tool designed to extract detailed company information from public LinkedIn URLs — without the need for cookies or login. It provides most valuable data from any company.

### ✨ Features

- 👤 **Full Personal Profile Extraction**\
  Retrieve name, employee count, follower count, industries, specialties and more.

- 🍪 **No Cookies Required**\
  The scraper works without any LinkedIn login or cookies — simplifying setup and execution.

### ✨ You may also want to check out my other powerful actors:

#### For people:

- https://apify.com/freshdata/fresh-linkedin-profile-data
- https://apify.com/freshdata/linkedin-open-profile-status
- https://apify.com/freshdata/linkedin-open-to-work-status
- https://apify.com/freshdata/linkedin-detect-activity-time

#### For Sales Navigator searches:

- https://apify.com/freshdata/linkedin-sales-navigator-scraper
- https://apify.com/freshdata/linkedin-sales-account-scraper

#### For companies:

- https://apify.com/freshdata/linkedin-company-scraper
- https://apify.com/freshdata/linkedin-company-insights-scraper
- https://apify.com/freshdata/linkedin-company-by-domain
- https://apify.com/freshdata/linkedin-company-custom-headcount

#### For jobs:

- https://apify.com/freshdata/linkedin-job-details-scraper
- https://apify.com/freshdata/linkedin-job-scraper

#### For posts:

- https://apify.com/freshdata/linkedin-post-scraper
- https://apify.com/freshdata/get-post-details
- https://apify.com/freshdata/linkedin-company-post-scraper
- https://apify.com/freshdata/linkedin-post-comments-scraper
- https://apify.com/freshdata/reaction-scraper

### 💰 Pricing

1. Paid users: $0.008/1 request = 1 "processing" events / 1 request ($8/1000 requests).
2. Free users: $0.8/1 request = 100 "processing" events/ 1 request ($800/1000 requests).

### 🛠️ How It Works

1. 🔗 **Input**\
   Provide a valid LinkedIn company URL.

2. ▶️ **Run the Scraper**\
   Start the actor to extract rich company data in real time — results will be available in Apify's Dataset tab.

### ✨ Go to my profile for more powerful actors: https://apify.com/freshdata

### 📥 Input Example

```json
{
  "linkedin_url": "https://www.linkedin.com/company/apple/"
}
```

### 📤 Output Example

```json
{
  "data": {
    "company_id": "162479",
    "company_name": "Apple",
    "description": "We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways...",
    "domain": "apple.com",
    "email": "",
    "employee_count": 271504,
    "employee_range": "10001+",
    "follower_count": 18590762,
    "hq_address_line1": "1 Apple Park Way",
    "hq_address_line2": "",
    "hq_city": "Cupertino",
    "hq_country": "United States",
    "hq_full_address": "1 Apple Park Way, Cupertino, California 95014, United States",
    "hq_postalcode": "95014",
    "hq_region": "California",
    "industries": ["Consumer Electronics"],
    "linkedin_url": "https://www.linkedin.com/company/apple/",
    "locations": [
      {
        "city": "Cupertino",
        "country": "US",
        "full_address": "1 Apple Park Way, Cupertino, California 95014, US",
        "is_headquarter": true,
        "line1": "1 Apple Park Way",
        "line2": "",
        "region": "California",
        "zipcode": "95014"
      }
    ],
    "logo_url": "https://media.licdn.com/dms/image/C560BAQHdAaarsO-eyA/company-logo_400_400/0/1595530301220?e=1692835200&v=beta&t=dMZacSXgf5hSuO-M5sX2OcDJo64TlkEo3_7CQ0VB0Ak",
    "phone": null,
    "specialties": "Innovative Product Development, World-Class Operations, Retail, Telephone Support",
    "tagline": "",
    "type": "Public Company",
    "website": "http://www.apple.com/careers",
    "year_founded": 1976
  },
  "message": "ok"
}

```

# Actor input Schema

## `linkedin_url` (type: `string`):

The public LinkedIn profile URL to scrape (e.g. https://www.linkedin.com/company/apple/ or https://www.linkedin.com/company/123456/)

## Actor input object example

```json
{
  "linkedin_url": "https://www.linkedin.com/company/apple/"
}
```

# 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 = {
    "linkedin_url": "https://www.linkedin.com/company/apple/"
};

// Run the Actor and wait for it to finish
const run = await client.actor("freshdata/linkedin-company-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 = { "linkedin_url": "https://www.linkedin.com/company/apple/" }

# Run the Actor and wait for it to finish
run = client.actor("freshdata/linkedin-company-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 '{
  "linkedin_url": "https://www.linkedin.com/company/apple/"
}' |
apify call freshdata/linkedin-company-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,freshdata/linkedin-company-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/BIN3pTVbxnM9wFl87/builds/sJMFYRRoOE5bFeFK0/openapi.json
