# Linkedin Company Details Scraper (No Cookies) ✅ Bulk (`baseball/linkedin-company-details-scraper`) Actor

Extract detailed information from LinkedIn Companies such as company name, address, phone numbers, website, employee count, and more. Find LinkedIn company URLs by name in Bulk. No cookies or account required.

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

## Pricing

from $2.50 / 1,000 company data scrapers

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/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 Details Scraper (No Cookies) ✅ Bulk

Extract complete company information from public LinkedIn company pages in bulk. Designed for B2B lead generation, account research, market analysis, CRM enrichment, and company database building — **no LinkedIn login cookies required**.

***

### 📋 Overview

Provide one or more LinkedIn company URLs and receive structured company data including:

- Company name, description & slogan
- Industry, organization type & company size
- LinkedIn follower count & employee count
- Website, headquarters & office locations
- Specialties, logo & cover image

***

### ⚙️ Input

| Field | Description | Example |
|-------|-------------|---------|
| `companies` | One or more LinkedIn company URLs | `https://www.linkedin.com/company/google` |
| `fileName` | Name used for the exported file | `my-companies` |

#### Single Company

```json
{
  "companies": [
    "https://www.linkedin.com/company/google"
  ],
  "fileName": "my-companies"
}
```

#### Bulk Input

```json
{
  "companies": [
    "https://www.linkedin.com/company/google",
    "https://www.linkedin.com/company/microsoft",
    "https://www.linkedin.com/company/salesforce"
  ],
  "fileName": "target-companies"
}
```

***

### 📌 Data Fields

#### URL & Scrape Status

| Field | Description |
|-------|-------------|
| `input_url` | Original LinkedIn company URL submitted |
| `normalized_url` | Cleaned and standardized version of the URL |
| `correct_url` | Final LinkedIn company URL identified by the scraper |
| `data_status` | Whether company data was found |
| `url_status` | HTTP status returned for the company URL |
| `url_source` | Source used to resolve or validate the URL |

#### Company Details

| Field | Description |
|-------|-------------|
| `company_id` | LinkedIn's numeric company identifier |
| `company_slug` | Public LinkedIn company page slug |
| `name` | Company name |
| `slogan` | Company tagline or slogan |
| `about` | LinkedIn About section text |
| `specialties` | Listed company specialties |
| `industries` | LinkedIn industry classification |
| `organization_type` | e.g., Public Company, Non-profit |
| `company_size` | LinkedIn company-size range |
| `type` | Company or organization type |
| `sphere` | Additional organization classification |
| `website` | Company website URL |
| `website_simplified` | Simplified domain value |
| `company_url` | Direct LinkedIn company page URL |
| `crunchbase_url` | Crunchbase company URL (when available) |
| `headquarters` | Primary headquarters location |
| `country_code` | Two-letter country code |
| `followers` | Number of LinkedIn page followers |
| `employees_in_linkedin` | LinkedIn members associated with the company |
| `founded` | Company founding year (when available) |
| `description` | Company description |
| `is_school` | Whether the page represents a school |

#### Locations & Media

| Field | Description |
|-------|-------------|
| `locations` | Detailed list including street, address, locality, primary status & directions URL |
| `formatted_locations` | Simplified list of company addresses |
| `logo` | Company logo URL |
| `image` | Company cover image URL |

#### Processing Metadata

| Field | Description |
|-------|-------------|
| `request_id` | Identifier for the main scraping request |
| `child_request_id` | Identifier for the individual company request |
| `order_id` | Internal identifier for the run |
| `processed_at` | Date and time the record was processed |

> **Note:** Fields may be empty when the information is not publicly available on the LinkedIn company page.

***

### 📊 Sample Output

```json
{
  "input_url": "https://www.linkedin.com/company/google",
  "normalized_url": "https://www.linkedin.com/company/google",
  "correct_url": "https://www.linkedin.com/company/google",
  "data_status": "found",
  "url_status": 200,
  "company_id": "1441",
  "company_slug": "google",
  "name": "Google",
  "about": "A problem isn't truly solved until it's solved for all...",
  "specialties": "search, ads, mobile, android, online video, machine learning, AI...",
  "industries": "Software Development",
  "organization_type": "Public Company",
  "company_size": "10,001+ employees",
  "website": "https://goo.gle/3DLEokh",
  "headquarters": "Mountain View, CA",
  "country_code": "US",
  "followers": 42430676,
  "employees_in_linkedin": 297958,
  "locations": [
    {
      "street": "1600 Amphitheatre Parkway",
      "address": "1600 Amphitheatre Parkway, Mountain View, CA 94043, US",
      "locality": "Mountain View, CA 94043, US",
      "is_primary": true
    }
  ],
  "logo": "https://media.licdn.com/dms/image/.../google_logo",
  "image": "https://media.licdn.com/dms/image/.../google_cover",
  "is_school": false,
  "processed_at": "2026-09-30T07:52:54.094Z"
}
```

***

### 📁 How to Use

1. Create a free [Apify](https://apify.com) account.
2. Open the **LinkedIn Company Details Scraper** actor.
3. Add one or more LinkedIn company page URLs to the `companies` list.
4. Enter a name in the `fileName` field.
5. Run the actor.
6. Download the structured output in **JSON**, **CSV**, or **Excel** format.

***

### ✅ Common Use Cases

- Enrich company and account lists for sales outreach
- Build targeted B2B company databases
- Collect LinkedIn follower and employee counts
- Research company size, industry, and headquarters
- Find company websites and office locations
- Enrich CRM company records (Salesforce, HubSpot, etc.)
- Analyze competitors and target accounts
- Collect company logos and LinkedIn page images

***

### ⚠️ Data Availability

This scraper collects **publicly available** company information only. Some fields may be blank when they are not displayed on a company's LinkedIn page. Values such as follower counts, employee counts, and descriptions can change over time.

# Actor input Schema

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

Enter LinkedIn company URLs or company names — one per line. URLs like https://www.linkedin.com/company/google will be scraped directly. Plain names like 'Google' or 'Microsoft' will be searched on LinkedIn.

## `fileName` (type: `string`):

Tag name for this run. Used to identify your output file. Example: my-target-companies-batch-1

## Actor input object example

```json
{
  "companies": [
    "https://www.linkedin.com/company/google"
  ],
  "fileName": "my-companies"
}
```

# Actor output Schema

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

No description

# 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": [
        "https://www.linkedin.com/company/google"
    ],
    "fileName": "my-companies"
};

// Run the Actor and wait for it to finish
const run = await client.actor("baseball/linkedin-company-details-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": ["https://www.linkedin.com/company/google"],
    "fileName": "my-companies",
}

# Run the Actor and wait for it to finish
run = client.actor("baseball/linkedin-company-details-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": [
    "https://www.linkedin.com/company/google"
  ],
  "fileName": "my-companies"
}' |
apify call baseball/linkedin-company-details-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,baseball/linkedin-company-details-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/9X22JEHPOK6QC7oQf/builds/XBxyv7eLLKYIvjje1/openapi.json