# LinkedIn Company Scraper - $3/1k, Profiles & Insights (`fascinating_lentil/linkedin-company-scraper`) Actor

Scrape public LinkedIn company pages: name, tagline, description, industry, size, HQ, founded year, website, specialties, followers, and logo. Provide company URLs or names.

- **URL**: https://apify.com/fascinating\_lentil/linkedin-company-scraper.md
- **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community)
- **Categories:** Lead generation, Social media, Other
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 company 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/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 - $3/1k, Profiles & Insights

> **Unofficial Actor.** This tool is independent and is **not affiliated with, endorsed by, or sponsored by LinkedIn**. It collects only publicly available company page data and never uses LinkedIn credentials, cookies, or private APIs.

Extract structured company data from public LinkedIn company pages. Provide direct LinkedIn company URLs to collect company names, websites, descriptions, industries, employee ranges, headquarters, company types, specialties, follower counts, public employee counts, logos, and profile URLs.

The Actor uses an HTTP-first extraction path for speed and lower platform cost, with a bounded browser fallback only when a public page cannot be read reliably over HTTP.

The Actor uses residential proxy support, session rotation, retries, and bounded concurrency. Browser fallback is used only when the HTTP-first path cannot reliably read a public page. It saves only records that contain a company name plus meaningful public profile data. Missing values remain `null`; the Actor does not invent data or access private LinkedIn content.

Direct company URLs are the most precise input method. Company names are resolved to their public LinkedIn company page without login, which works reliably for well-known names and may not resolve ambiguous or heavily abbreviated ones.

A company is saved and charged only when the page yields a company name plus at least one substantive public field. Blocked pages are retried on a fresh session, and are never saved and never charged.

### Output fields

| Field | Description |
|---|---|
| `companyName` | Public company name |
| `linkedinUrl` | Canonical LinkedIn company URL |
| `website` | Public company website |
| `companyDescription` | Public company description |
| `industry` | LinkedIn industry |
| `companySize` | Published employee-size range |
| `headquartersLocation` | Published headquarters location |
| `companyType` | Public, private, nonprofit, or other published type |
| `foundedYear` | Published founding year when available |
| `specialties` | Published company specialties |
| `followerCount` | Public follower count |
| `employeeCount` | Public employee count when exposed in page metadata |
| `logoUrl` | Public company logo URL |
| `matchedFromName` | Original name input when the profile was resolved by name |
| `scrapedAt` | ISO extraction timestamp |

### Input

```json
{
  "companyUrls": [
    "https://www.linkedin.com/company/microsoft"
  ],
  "companyNames": [],
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

### Sample output

```json
{
  "companyName": "Microsoft",
  "linkedinUrl": "https://www.linkedin.com/company/microsoft",
  "website": "https://news.microsoft.com/",
  "companyDescription": "Every company has a mission. What's ours? To empower every person and every organization to achieve more.",
  "industry": "Software Development",
  "companySize": "10,001+ employees",
  "headquartersLocation": "Redmond, Washington, US",
  "companyType": "Public Company",
  "foundedYear": 1975,
  "specialties": ["Business Software", "Developer Tools"],
  "followerCount": "28,327,871",
  "employeeCount": "232340",
  "logoUrl": "https://media.licdn.com/dms/image/...",
  "matchedFromName": null,
  "scrapedAt": "2026-06-12T14:00:00.000Z"
}
```

### How to scrape LinkedIn company pages

1. Open the Actor input.
2. Add one or more direct LinkedIn company URLs.
3. Keep residential proxy rotation enabled.
4. Run the Actor.
5. Export the dataset as JSON, CSV, Excel, or another supported format.

### Use cases

- B2B company research and lead enrichment
- Market and competitor analysis
- Industry and geographic segmentation
- Recruitment account research
- Public company directory enrichment

### Pricing

| Event | Price |
|---|---|
| `company-scraped` | $0.003 per successfully saved company profile ($3.00 per 1,000) |

The Actor charges only after a usable company record is saved. Platform usage is included in the event price for users.

### Responsible use

This Actor reads only publicly accessible company-page data. It does not use LinkedIn credentials or access private profiles. Users are responsible for complying with LinkedIn's terms, privacy requirements, and applicable laws.

### License

Apache-2.0

# Actor input Schema

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

List of LinkedIn company profile URLs to scrape directly. Example: https://www.linkedin.com/company/microsoft/

## `companyNames` (type: `array`):

Company names to resolve to their public LinkedIn company page. Each name is matched to one company. Well-known names resolve reliably; ambiguous or heavily abbreviated names may not, so direct URLs remain the most precise option.

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

Maximum number of company names to look up in one run. Company URLs you list explicitly are always scraped and are not limited by this value.

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

Proxy settings for scraping. Residential proxies are strongly recommended for LinkedIn.

## Actor input object example

```json
{
  "companyUrls": [
    "https://www.linkedin.com/company/microsoft"
  ],
  "companyNames": [],
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Clean dataset items containing public LinkedIn company profile, industry, size, headquarters, website, specialty, follower, and logo data. A record is saved only when the page yields a company name plus at least one substantive public field.

# 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/microsoft"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fascinating_lentil/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/microsoft"] }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fascinating_lentil/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/14ybENqWcb2r8voTs/builds/pccTyXJoZDl3M7D5U/openapi.json