# LinkedIn Company Scraper – Profiles & Business Data (`scrapingmonkey/linkedin-company-details-scraper`) Actor

Extract public LinkedIn company profiles from slugs or URLs. Get industry, website, size, locations, audience counts and visible related pages in one row per company.

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

## Pricing

from $1.00 / 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.
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?

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

Turn public LinkedIn company pages into company records with industry, website, size, locations and audience counts. **LinkedIn Company Scraper** accepts company slugs or URLs and saves one dataset row per company, including visible affiliated pages and featured people.

Use the results to enrich organization lists, compare markets or keep a consistent company reference for hiring and account research.

| At a glance | Details |
|---|---|
| 📥 Input | LinkedIn company slugs or full company URLs |
| 📤 Output | Company identity, business details, counts, locations and visible related cards |
| 🔐 Login required | No LinkedIn credentials or cookies |
| ⚡ Processing | Up to 5 requests concurrently with automatic retries |
| 💾 Delivery | One dataset row per processed company; one table and matching JSON fields |

### What the LinkedIn company scraper extracts 🔎

The Actor collects the details shown on a public company page, including the profile's business description and the limited supporting cards LinkedIn makes available.

- Company ID, slug, name, URL, logo and cover image
- Tagline, description, website, industry and specialties
- Company-size range, organization type, founding year and headquarters
- Visible follower and employee counts
- Locations with address, primary-location flag and directions link
- Affiliated and similar company cards with names, links and context
- Featured public people cards and an available jobs link

### How to scrape LinkedIn company details 🚀

1. Enter a company slug such as `microsoft` or a full company-page URL.
2. Add other companies to the same input list.
3. Start the Actor and review each result's status.
4. Export the company rows for enrichment or analysis.

```json
{
  "inputList": [
    "openai",
    "https://www.linkedin.com/company/microsoft/"
  ]
}
```

Repeated valid inputs that resolve to the same company are normally processed once per run.

### LinkedIn company data fields and complete output 📦

| Field group | Included data |
|---|---|
| Identity | ID, slug, name, page URL, logo and cover |
| Business | Description, industry, website, specialties, size and founding year |
| Presence | Headquarters, displayed location and location cards |
| Audience | Visible followers, employee count and any displayed alumni count |
| Related context | Affiliated pages, similar pages, featured people and jobs URL |

Complete illustrative success item with fictional content, not a live result:

```json
{
  "input": "northstar-research-example",
  "status": "success",
  "id": "123456",
  "slug": "northstar-research-example",
  "name": "Northstar Research",
  "url": "https://www.linkedin.com/company/northstar-research-example/",
  "logo": "https://example.com/northstar-logo.png",
  "cover_image": "https://example.com/northstar-cover.jpg",
  "tagline": "Research tools for growing teams.",
  "description": "Northstar Research builds software for organizing and sharing research.",
  "website": "https://example.com",
  "industry": "Software Development",
  "company_size": "51-200 employees",
  "headquarters": "Singapore",
  "organization_type": "Privately Held",
  "founded": "2016",
  "specialties": [
    "Research software",
    "Knowledge management"
  ],
  "location": "Singapore",
  "followers": 4200,
  "employees_count": 87,
  "alumni_count": 0,
  "locations.is_primary": [
    true
  ],
  "locations.address": [
    "10 Research Way, Singapore"
  ],
  "locations.directions_url": [
    "https://example.com/directions"
  ],
  "affiliated_pages.name": [
    "Northstar Labs"
  ],
  "affiliated_pages.url": [
    "https://www.linkedin.com/company/northstar-labs-example/"
  ],
  "affiliated_pages.logo": [
    "https://example.com/labs-logo.png"
  ],
  "affiliated_pages.industry": [
    "Research Services"
  ],
  "affiliated_pages.location": [
    "Singapore"
  ],
  "similar_pages.name": [
    "Harbor Analytics"
  ],
  "similar_pages.url": [
    "https://www.linkedin.com/company/harbor-analytics-example/"
  ],
  "similar_pages.logo": [
    "https://example.com/harbor-logo.png"
  ],
  "similar_pages.industry": [
    "Software Development"
  ],
  "similar_pages.location": [
    "London"
  ],
  "featured_people.name": [
    "Maya Chen"
  ],
  "featured_people.url": [
    "https://www.linkedin.com/in/maya-chen-example/"
  ],
  "featured_people.image": [
    "https://example.com/maya-chen.jpg"
  ],
  "featured_people.occupation": [
    "Research Director at Northstar Research"
  ],
  "jobs_url": "https://www.linkedin.com/jobs/search/?f_C=123456",
  "is_school": false
}
```

The table and JSON use the same literal field names. For example, `locations.address` and `locations.is_primary` are aligned lists: matching positions describe the same location. Related-page and featured-person columns use the same arrangement, keeping one company in one row.

On successful rows, unavailable values can be empty strings, empty lists or zero counts. A failed row retains `input`, sets `status` to `failed` and leaves the data fields null.

### Input requirements and coverage ⚙️

| Parameter | Type | Required | Default and rules |
|---|---|---|---|
| `inputList` | array of strings | Yes | No default; at least one item. No fixed maximum number of inputs. |

Enter plain company slugs containing letters, numbers, underscores or hyphens, or full HTTP/HTTPS LinkedIn URLs with a `/company/` path. Slugs are normalized to lowercase. A search query or personal `/in/` profile URL is not a company input.

Company size is the displayed range; `employees_count` is a separate visible count. Neither is a verified payroll total. Locations, related pages and featured people are the cards exposed on the company page, with no pagination through a complete employee directory.

### LinkedIn company data use cases 🎯

#### Company-list enrichment

Add a website, industry, description, headquarters and LinkedIn ID to an existing set of organizations.

#### Market segmentation

Compare companies by specialties, geography and displayed size range before a more detailed review.

#### Hiring context

Attach organization details and a jobs link to employer research, then use the company-jobs Actor for individual vacancies.

#### Organization monitoring

Collect scheduled snapshots to review changes in descriptions, locations or public audience counts over time.

### Pricing and billable company rows 💰

Check the Actor's **Pricing** tab for the current charging model and rate. The Store configuration is authoritative.

Under dataset-item pricing, each saved success or failed row can count as a billable item. Automatic retry attempts do not independently create additional rows. Repeated valid inputs are normally processed once.

Locations, related pages and featured people are part of the company row.

### LinkedIn company API and integrations 🔌

Replace `$ACTOR_ID` with the ID shown in the Actor API tab and `$APIFY_TOKEN` with your Apify token.

```bash
curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"inputList":["openai","https://www.linkedin.com/company/microsoft/"]}'
```

Start runs through REST, Apify client libraries or schedules, and use webhooks to handle completion. Export the default dataset as JSON, CSV or Excel, or send it to Google Sheets, Make, Zapier and your own reporting tools.

### Reliability and limits ⚠️

Temporary request failures and selected access errors are retried automatically. Unavailable pages or responses without a usable company identity produce failed rows. Public company pages can change or restrict the details they expose.

Related cards are a snapshot of what LinkedIn displays, not a verified list of subsidiaries, competitors or employees. If headquarters is available but no location cards are present, it can appear as a primary location with an empty directions link. Missing numeric counts default to zero and should not be interpreted as confirmed zero activity.

### Frequently asked questions ❓

#### Can I submit company names?

Use the LinkedIn company slug or URL. A general company-name search is not supported.

#### Does it return every employee?

No. It returns a visible employee count and the featured people cards present on the public company page.

#### What is the difference between company\_size and employees\_count?

Company size is a displayed range such as 51–200 employees. The employee count is the separate number LinkedIn exposes; the values may differ.

#### Does it collect company job listings?

It can return a jobs URL. Use LinkedIn Company Jobs Scraper to collect vacancy rows.

#### Why are counts zero on a successful company?

LinkedIn may omit a count or show a format that cannot be read. Zero can be a default for missing data.

### Support, responsible use, and related actors 🛟

For a reproducible issue, contact support with the run ID, approximate time and a safe public example URL. Keep credentials and private data out of support messages.

Use public data in line with applicable privacy, copyright and platform requirements.

# Actor input Schema

## `inputList` (type: `array`):

Add one LinkedIn company slug or full company URL per item.

## Actor input object example

```json
{
  "inputList": [
    "microsoft"
  ]
}
```

# Actor output Schema

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

Actor dataset rows. Use the status column to distinguish successful extraction from failed processing.

# 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 = {
    "inputList": [
        "microsoft"
    ]
};

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

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapingmonkey/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/SbGf7W5B7toaiYxej/builds/drfdJ1KcQ77KIDhlO/openapi.json