# LinkedIn Company Profile Scraper - No Login (`datascraperes/linkedin-company`) Actor

Scrape public LinkedIn company profiles: name, description, industry, size, employees, headquarters, website, specialties, followers and posts. No cookies or login.

- **URL**: https://apify.com/datascraperes/linkedin-company.md
- **Developed by:** [DataScraperES](https://apify.com/datascraperes) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 4 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.75 / 1,000 company profiles

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 URLs into structured company snapshots without supplying a LinkedIn account or cookies. Receive company details, follower and employee signals, recent public posts, and a comparison with the previous successful snapshot.

### What this Actor does

The Actor processes direct `/company/<slug>/` URLs and returns the public organization data LinkedIn exposes. It stores successful snapshots so later runs can report `initial`, `unchanged`, or `changed` and identify the fields that changed.

### Use cases

- Enrich company and lead lists with current public organization data.
- Monitor follower, employee, profile, and public-post changes.
- Add company context to recruiting, sales, and market-research workflows.

### How to use

1. Open the Actor in Apify Console.
2. Add 1–100 public LinkedIn company URLs.
3. Choose **All current snapshots** or **Changed companies only**.
4. Click **Start** and open the Dataset when the run finishes.

### Input

`companyUrls` is required and accepts 1–100 direct public LinkedIn company URLs. Personal profiles, jobs, posts, search pages, and non-LinkedIn URLs are invalid. `deliveryMode: "all"` returns every valid snapshot. `deliveryMode: "changes_only"` returns successful rows only when a stored snapshot changed; error rows remain visible, and the first successful snapshot is returned.

This exact input produced the complete output below:

```json
{
  "companyUrls": [
    "https://www.linkedin.com/company/microsoft/"
  ],
  "deliveryMode": "all"
}
```

### Output

A successful row contains canonical company identity, public organization fields, recent public post previews, source signals, snapshot hash, comparison state, and changed fields. Missing optional values are `null` or empty arrays. Failed rows contain `success: false`, a status such as `invalid_url`, `invalid_response`, `blocked`, or `network_error`, and an error message.

This is the complete Dataset item from a real successful run:

```json
{
  "success": true,
  "status": "success",
  "inputUrl": "https://www.linkedin.com/company/microsoft/",
  "companyUrl": "https://www.linkedin.com/company/microsoft",
  "companySlug": "microsoft",
  "scrapedAt": "2026-08-24T07:11:07.429440Z",
  "error": null,
  "company": {
    "name": "Microsoft",
    "description": "Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.",
    "headquarters": "1 Microsoft Way, Redmond, Washington, 98052, US",
    "employeeCount": 232907,
    "employeeRange": null,
    "logoUrl": "https://media.licdn.com/dms/image/v2/D560BAQH32RJQCl3dDQ/company-logo_200_200/B56ZYQ0mrGGoAM-/0/1744038948046/microsoft_logo?e=2147483647&v=beta&t=ts9MGrTk7Lz3R1bmAfzCL8euuuuPWPCoXfdiLA2_IzM",
    "sameAs": [
      "https://news.microsoft.com/"
    ],
    "websiteUrl": "https://news.microsoft.com/",
    "industry": "Software Development",
    "companySizeText": "10,001+ employees",
    "organizationType": "Public Company",
    "specialties": [
      "Business Software",
      "Developer Tools",
      "Home & Educational Software",
      "Tablets",
      "Search",
      "Advertising",
      "Servers",
      "Windows Operating System",
      "Windows Applications & Platforms",
      "Smartphones",
      "Cloud Computing",
      "Quantum Computing",
      "Future of Work",
      "Productivity",
      "AI",
      "Artificial Intelligence",
      "Machine Learning",
      "Laptops",
      "Mixed Reality",
      "Virtual Reality",
      "Gaming",
      "Developers",
      "and IT Professional"
    ],
    "followers": "28,937,713"
  },
  "publicPosts": [
    {
      "url": "https://www.linkedin.com/posts/microsoft_july-2026-activity-7487862338335801344-bBsC",
      "publishedAt": "2026-07-28T13:31:39.195Z",
      "text": "Doctors are busy, visits can seem rushed. Many people – especially women – can feel like their doctor hasn’t really heard them. In July's edition of The Monthly Tech-In, we explore how AI is helping clinicians spend more time listening to their patients and less time on administrative tasks. Beyond healthcare, we share stories about how farmers, researchers and executives are using AI to meet real-world challenges. Learn more about the people putting AI into practice."
    }
  ],
  "sourceSignals": {
    "organizationJsonLd": true,
    "openGraph": true,
    "jsonLdPostCount": 1
  },
  "snapshotHash": "6de579dfe948c3023d3a5471a787151d95e139740f3422a3e72bd498cf53ac0f",
  "comparison": {
    "comparisonState": "changed",
    "changedFields": [
      "company.employeeCount",
      "company.followers",
      "publicPosts"
    ],
    "fieldChanges": {
      "publicPosts": {
        "previous": [],
        "current": [
          {
            "url": "https://www.linkedin.com/posts/microsoft_july-2026-activity-7487862338335801344-bBsC",
            "publishedAt": "2026-07-28T13:31:39.195Z",
            "text": "Doctors are busy, visits can seem rushed. Many people – especially women – can feel like their doctor hasn’t really heard them. In July's edition of The Monthly Tech-In, we explore how AI is helping clinicians spend more time listening to their patients and less time on administrative tasks. Beyond healthcare, we share stories about how farmers, researchers and executives are using AI to meet real-world challenges. Learn more about the people putting AI into practice."
          }
        ]
      },
      "company.employeeCount": {
        "previous": 233178,
        "current": 232907
      },
      "company.followers": {
        "previous": "28,688,439",
        "current": "28,937,713"
      }
    }
  },
  "changedFields": [
    "company.employeeCount",
    "company.followers",
    "publicPosts"
  ]
}
```

Results can be exported as JSON, JSONL, CSV, Excel, XML, or RSS. The output schema also links to the run summary.

### Pricing

The Actor uses tiered pay-per-event pricing for each successfully extracted company profile written to the Dataset. Apify selects the tier from your account plan automatically.

| Apify plan tier | Price per profile | Price per 1,000 profiles |
| --- | ---: | ---: |
| Free | $0.001 | $1.00 |
| Bronze | $0.0009 | $0.90 |
| Silver | $0.0008 | $0.80 |
| Gold | $0.00075 | $0.75 |
| Platinum | $0.00075 | $0.75 |
| Diamond | $0.00075 | $0.75 |

Invalid URLs, blocked or unavailable pages, network errors, and unchanged checks omitted by `changes_only` are not charged. There is no Actor-start charge.

### API and integrations

Run the Actor through Apify Console, API, CLI, schedules, or webhooks. Schedules combined with `changes_only` are useful for monitoring; consume Dataset items through the API or supported integrations and retain the same storage context for snapshot comparisons.

### Related Actors

| Actor | Best for |
|---|---|
| [LinkedIn Public Profile Scraper](https://apify.com/datascraperes/linkedin-public-profile-scraper) | Enriching public profiles of founders, employees, or stakeholders. |
| [LinkedIn Jobs Scraper – No Login](https://apify.com/datascraperes/linkedin-jobs-scraper) | Tracking the roles and locations a company is hiring for. |
| [LinkedIn Ad Library Scraper – No Login](https://apify.com/datascraperes/linkedin-ad-library-scraper) | Researching a company's public LinkedIn advertising activity. |

### Limits and data quality

Each run accepts up to 100 company URLs. LinkedIn controls public field availability, and counts or posts can change between runs. Snapshot comparisons depend on the previous successful stored snapshot; changing or clearing storage resets that history. A successful result can still contain `null` optional fields when LinkedIn did not expose them.

### Frequently asked questions

#### What is the difference between the delivery modes?

`all` returns every successful current snapshot. `changes_only` returns and charges a successful row only for an initial or changed snapshot; unchanged checks are omitted and free.

#### Why does the first run show a comparison?

The Actor establishes an initial baseline, or compares with an earlier successful snapshot already stored for that company. The `comparisonState` tells you which case applies.

### Responsible use

Use only publicly available company information for lawful purposes. You are responsible for complying with LinkedIn's terms, applicable privacy and data-protection laws, and the rights associated with company content and public posts.

### Support

Open an issue in the Actor's **Issues** tab with the run ID, affected public company URL, delivery mode, and unexpected field or status.

# Actor input Schema

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

Public URLs in the form https://www.linkedin.com/company/company-slug/.

## `deliveryMode` (type: `string`):

All returns every valid snapshot. Changes only returns valid records only when a stored snapshot changed.

## Actor input object example

```json
{
  "companyUrls": [
    "https://www.linkedin.com/company/microsoft/"
  ],
  "deliveryMode": "all"
}
```

# Actor output Schema

## `companies` (type: `string`):

No description

## `summary` (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 = {
    "companyUrls": [
        "https://www.linkedin.com/company/microsoft/"
    ],
    "deliveryMode": "all"
};

// Run the Actor and wait for it to finish
const run = await client.actor("datascraperes/linkedin-company").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/"],
    "deliveryMode": "all",
}

# Run the Actor and wait for it to finish
run = client.actor("datascraperes/linkedin-company").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/"
  ],
  "deliveryMode": "all"
}' |
apify call datascraperes/linkedin-company --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datascraperes/linkedin-company"
        }
    }
}

```

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/pjOUdiGlVoX2A9nfY/builds/ApF0UaxGEYU5UzIYh/openapi.json