# LinkedIn Company Scraper — No Login · Industry, Size & HQ Data (`gio21/linkedin-company-scraper`) Actor

Scrape public LinkedIn company pages by URL: industry, employee size, HQ, founding year and official website. No login or cookies required. $0.0028/item, 30% cheaper than the leading direct comparable.

- **URL**: https://apify.com/gio21/linkedin-company-scraper.md
- **Developed by:** [Gio](https://apify.com/gio21) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.50 / 1,000 item scrapeds

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 Scraper

Scrape **public LinkedIn company "about" pages** for company name, description, industry, company size, headquarters, founded year, and website — no login, no cookies.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `companyUrl` | string | A single public LinkedIn company URL, e.g. `https://www.linkedin.com/company/google/` |
| `companyUrls` | array | Optional: several company URLs at once |
| `maxItems` | integer | Max company URLs to process (default 10) |

URLs are automatically normalized to the `/about/` page regardless of the exact form you provide.

Example:

```json
{
    "companyUrls": [
        "https://www.linkedin.com/company/google/",
        "https://www.linkedin.com/company/microsoft"
    ],
    "maxItems": 10
}
```

### Output

```json
{
    "companyName": "Google",
    "description": "Google's mission is to organize the world's information and make it universally accessible and useful.",
    "industry": "Software Development",
    "companySize": "10,001+ employees",
    "headquarters": "Mountain View, CA",
    "founded": 1998,
    "website": "https://www.google.com",
    "companyUrl": "https://www.linkedin.com/company/google/about/",
    "scrapedAt": "2026-07-17T00:00:00.000Z"
}
```

### Common uses

- Company research and firmographic enrichment
- Sales prospecting (company size, industry, HQ)
- Building a company directory or database
- Verifying a company's official website and founding year

### Notes

- `companyName` and `description` come from meta tags and are the most reliable fields — they should populate on nearly every public company page.
- `industry`, `companySize`, `headquarters`, `founded`, and `website` are parsed from the page's sidebar attribute list using label-text matching (e.g. finding "Industry" then reading the adjacent value). This is inherently more fragile than meta-tag extraction and may return `null` if LinkedIn has changed that section's layout — this does not affect `companyName`/`description`.
- If a company page is authwalled or fails to load, the item includes `error: "authwall"` or `error: "fetch-failed"` instead of failing the whole run.

# Actor input Schema

## `companyUrl` (type: `string`):

A single public LinkedIn company URL, e.g. "https://www.linkedin.com/company/google/". The scraper will normalize it to the /about/ page.

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

Optional: several public LinkedIn company URLs at once.

## `maxItems` (type: `integer`):

Maximum number of company URLs to process (applied across companyUrl + companyUrls combined).

## Actor input object example

```json
{
  "companyUrl": "https://www.linkedin.com/company/google/",
  "maxItems": 10
}
```

# 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 = {
    "companyUrl": "https://www.linkedin.com/company/google/",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("gio21/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 = {
    "companyUrl": "https://www.linkedin.com/company/google/",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("gio21/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 '{
  "companyUrl": "https://www.linkedin.com/company/google/",
  "maxItems": 10
}' |
apify call gio21/linkedin-company-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gio21/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/NaiPPgPfkv6APcQ76/builds/glhtQLRfhO6jCfOgt/openapi.json