# LinkedIn Company Search Scraper (`powerai/linkedin-company-search-scraper`) Actor

Extract company information from LinkedIn with detailed metadata including company profiles, size, industry, and more. Perfect for market research, competitor analysis, and business development.

- **URL**: https://apify.com/powerai/linkedin-company-search-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Categories:** Jobs, Lead generation, Social media
- **Stats:** 453 total users, 10 monthly users, 86.1% runs succeeded, 11 bookmarks
- **User rating**: 1.85 out of 5 stars

## Pricing

from $4.99 / 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.

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 Search Scraper

Extract company information from LinkedIn with detailed metadata! This powerful tool helps you gather comprehensive information about companies, including company profiles, size, industry, and more.

### ✨ Key Features

- 📥 Search companies with flexible filters
- 📊 Get detailed company metadata including:
  - Company name and description
  - Company logo and background image
  - Staff count and size range
  - Industry and specialties
  - Company URLs
- 🔍 Filter by:
  - Job availability
- 📈 Support for large result sets with automatic pagination
- 📋 Clean and structured JSON output

### 💪 Why Choose This Actor?

- **Comprehensive**: Get detailed company information
- **Flexible**: Multiple search filters and parameters
- **Efficient**: Automatic pagination for large result sets
- **Structured**: Clean JSON output for easy integration
- **Reliable**: Stable and consistent data extraction
- **User-Friendly**: Simple input parameters

### 🎯 Perfect For

- 📊 Market Researchers
- 📈 Business Analysts
- 💼 Sales Teams
- 🏢 Business Development
- 🔍 Competitor Analysis
- 📋 Investment Research

### 📈 Use Cases

1. **Market Research**: Analyze companies in specific industries
2. **Competitor Analysis**: Monitor competitor companies
3. **Lead Generation**: Find potential client companies
4. **Investment Research**: Research potential investment targets
5. **Partnership Discovery**: Find potential business partners

### 📝 Input Requirements

The actor accepts the following input parameters:

- `keyword` (required): The search keyword for company search
- `maxResults` (required): Maximum number of companies to extract
- `hasJobs` (optional): Whether the company has active job postings

#### Input Example

```json
{
  "keyword": "tech company",
  "maxResults": 10,
  "hasJobs": true
}
```

#### Output Example

```json
{
  [
    {
      "companyName": "Tech Corp",
      "primarySubtitle": "Software Development Company",
      "summary": "Leading technology company specializing in...",
      "companyUrn": "urn:li:company:12345",
      "companyId": "12345",
      "companyLogo": "https://...",
      "secondarySubtitle": "1000-5000 employees · Software Development",
      "navigationUrl": "https://www.linkedin.com/company/...",
      "scrapedAt": "2024-03-15T11:00:00Z"
    }
  ],
  ...
}
```

# Actor input Schema

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

The search keyword for company search

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

Maximum number of companies to extract

## `hasJobs` (type: `boolean`):

Whether the company has active job postings

## Actor input object example

```json
{
  "keyword": "tech company",
  "maxResults": 10,
  "hasJobs": 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": "tech company"
};

// Run the Actor and wait for it to finish
const run = await client.actor("powerai/linkedin-company-search-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 = { "keyword": "tech company" }

# Run the Actor and wait for it to finish
run = client.actor("powerai/linkedin-company-search-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 '{
  "keyword": "tech company"
}' |
apify call powerai/linkedin-company-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerai/linkedin-company-search-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/qg7V1GvcH9A1rVoKw/builds/MeXbTwcCuWcke7jrz/openapi.json