# LinkedIn Company Scraper (`fraktalapi/linkedin-company-scraper`) Actor

Scrape structured data from public LinkedIn company pages — name, industry, company size, employee count, HQ location, website, and description. Give it company URLs, get clean JSON back. Runs on residential proxies, and you only pay for records that are successfully returned.

- **URL**: https://apify.com/fraktalapi/linkedin-company-scraper.md
- **Developed by:** [FraktalAPI](https://apify.com/fraktalapi) (community)
- **Categories:** Lead generation, Social media, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 company records

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## LinkedIn Company Scraper

Extract structured data from **public** LinkedIn company pages: name, industry, company size,
description, location, employee count, and website.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `companyUrls` | array | Public LinkedIn company URLs (e.g. `https://www.linkedin.com/company/apify`). |
| `searchQuery` | string | Optional keyword discovery (stub in this build — prefer `companyUrls`). |
| `maxResults` | integer | Cap on records returned (default 50). |
| `outputFormat` | string | `full` or `compact`. |
| `proxyConfiguration` | object | Proxy settings; residential proxies recommended. |

### Output

Each dataset item:

```json
{
  "name": "Apify",
  "industry": "Software Development",
  "description": "...",
  "companySize": "51-200 employees",
  "location": "Prague",
  "employeeCount": 120,
  "website": "https://apify.com",
  "url": "https://www.linkedin.com/company/apify",
  "scrapedAt": "2026-07-15T12:00:00.000Z"
}
```

### Pricing

Pay-per-event: **$0.003 / company record** (undercut of the ~$0.005–$0.01 market), with platform usage passed to the user. Configure in Console → this Actor → Monetization.

### Run locally

```bash
npm install
apify run                 # normal
node src/main.js --dry-run  # writes ./dry-run-output/linkedin-company-scraper.json, no cloud usage
```

### ⚠️ Legal note

LinkedIn's Terms of Service prohibit automated scraping. This Actor reads only publicly served
pages, but the legal responsibility for running it rests with the operator. Selectors may break when
LinkedIn changes its markup — treat this as a maintained best-effort scraper.

# Actor input Schema

## `companyUrls` (type: `array`):

Public LinkedIn company page URLs to scrape, e.g. https://www.linkedin.com/company/apify

## `searchQuery` (type: `string`):

Optional keyword search to discover companies (used only if no URLs are given).

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

Maximum number of company records to return.

## `outputFormat` (type: `string`):

Shape of each dataset item.

## `proxyConfiguration` (type: `object`):

Proxy settings. RESIDENTIAL proxies are required — LinkedIn rate-limits datacenter IPs with HTTP 999. Records from blocked pages are skipped and never charged.

## Actor input object example

```json
{
  "companyUrls": [
    "https://www.linkedin.com/company/apify"
  ],
  "maxResults": 50,
  "outputFormat": "full",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "companyUrls": [
        "https://www.linkedin.com/company/apify"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fraktalapi/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 = { "companyUrls": ["https://www.linkedin.com/company/apify"] }

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

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Vc4Bs8DaczGuglg7S/builds/8FSqQXZHYG5Gs7iYs/openapi.json