# LinkedIn Company Scraper — Company Profiles & Data (`hipersoft/linkedin-company-scraper`) Actor

Scrape public LinkedIn company data in bulk: name, tagline, description, industry, company size, employee count, followers, website, headquarters, specialties and address. Just pass company names or LinkedIn URLs. One row per company as JSON, CSV or Excel.

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

## Pricing

from $0.002 / company scraped

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/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 — Company Profiles & Data

Pull **public LinkedIn company data** in bulk with the **LinkedIn Company Scraper**. Pass a list of company names or LinkedIn URLs and export each one's **name, tagline, description, industry, company size, employee count, followers, website, headquarters, specialties and address** — one clean row per company as **JSON, CSV or Excel**.

Built for **B2B lead generation, sales intelligence, market research, CRM enrichment and competitive analysis**, it turns a list of company names into a structured firmographic dataset.

### What it does

- 🏢 **Firmographics** — company name, tagline, long description, industry and specialties.
- 👥 **Size signals** — company-size band, exact employee count and follower count.
- 🌐 **Contact & location** — website, headquarters and full address (street, city, region, country).
- 🖼️ **Branding** — company logo and LinkedIn page URL.
- 🔗 **Flexible input** — accepts plain names/slugs (`microsoft`) or full LinkedIn company URLs.
- 📤 **Export anywhere** — JSON, CSV or Excel, or straight into a CRM, sheet or dashboard.

### Example output

```json
{
  "name": "Stripe",
  "industry": "Technology, Information and Internet",
  "companySize": "5,001-10,000 employees",
  "employeeCount": 16657,
  "followers": 1717202,
  "headquarters": "South San Francisco, California",
  "website": "https://stripe.com",
  "city": "South San Francisco",
  "region": "California",
  "country": "US",
  "url": "https://www.linkedin.com/company/stripe"
}
```

### How to use it

1. Add a list of **companies** — names, slugs or LinkedIn company URLs.
2. Set **Max companies** if you want a cap.
3. Run, and download the results as **JSON, CSV or Excel**.

### Input fields

| Field | Description |
|-------|-------------|
| **Companies** | Company names, slugs or LinkedIn company URLs. |
| **Max companies** | Maximum companies to process (0 = no limit). |

### Output fields

`slug`, `found`, `name`, `tagline`, `description`, `url`, `website`, `industry`, `companySize`, `employeeCount`, `followers`, `headquarters`, `founded`, `specialties`, `streetAddress`, `city`, `region`, `postalCode`, `country`, `logo`.

### Popular use cases

- **B2B lead generation** — enrich a target-account list with firmographics.
- **Sales intelligence** — size up prospects by industry, headcount and location.
- **CRM enrichment** — fill in industry, size, website and HQ for existing accounts.
- **Market research** — profile companies across an industry or region.
- **Competitive analysis** — compare size, followers and specialties across competitors.

### FAQ

**Do I need an account or key?**
No. Add company names or URLs and run — only public company page data is collected.

**What can I pass as input?**
A plain company name/slug (`microsoft`), or a full LinkedIn company URL — both work.

**What company data is returned?**
Public firmographics: name, tagline, description, industry, size band, employee and follower counts, website, headquarters, specialties and address.

**Can I export to Excel or Google Sheets?**
Yes — results download as JSON, CSV or Excel and integrate with CRMs, Sheets and dashboards.

**How many companies can I process?**
As many as you like — the scraper processes your whole list; set Max companies to cap it.

***

Structured **public LinkedIn company data** — industry, size, employees, followers, website and HQ — clean and export-ready for B2B lead generation and research.

# Actor input Schema

## `companies` (type: `array`):

Company names, slugs or LinkedIn company URLs — e.g. 'microsoft', 'stripe', or 'https://www.linkedin.com/company/google/'. Each is looked up individually.

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

Maximum number of companies to process (0 = no limit).

## Actor input object example

```json
{
  "companies": [
    "microsoft",
    "stripe"
  ],
  "maxItems": 0
}
```

# Actor output Schema

## `results` (type: `string`):

The results as dataset items.

# 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 = {
    "companies": [
        "microsoft",
        "stripe"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/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 = { "companies": [
        "microsoft",
        "stripe",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/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 '{
  "companies": [
    "microsoft",
    "stripe"
  ]
}' |
apify call hipersoft/linkedin-company-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/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/4p4ZXZvyqgjOWA7pH/builds/T5uOYnCVKjEWp7GRK/openapi.json