# LinkedIn Company Scraper: Firmographics & Recent Posts (`tenfoldfleet/linkedin-company-scraper`) Actor

Get company details from LinkedIn pages in bulk: industry, size, employee count, followers, HQ, founded year, type, specialties, website, locations, logo and recent posts. Paste URLs, slugs or names. No login. $3 per 1,000 companies; not-found pages are free.

- **URL**: https://apify.com/tenfoldfleet/linkedin-company-scraper.md
- **Developed by:** [Tenfold Fleet](https://apify.com/tenfoldfleet) (community)
- **Categories:** Lead generation, Social media, Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 companies

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/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

Not affiliated with LinkedIn. This Actor reads only the public company pages anyone can open without signing in.

### What does LinkedIn Company Scraper do?

**LinkedIn Company Scraper** turns a list of companies into clean **firmographic data** from their public LinkedIn company pages. Give it company page URLs, slugs or plain company names and get back one row per company with **industry, company size, employee count, followers, headquarters, founded year, company type, specialties, website, office locations, logo** and the LinkedIn company ID. Switch on **recent posts** to also get the latest updates shown on each page.

It works like a **LinkedIn company data API**: no LinkedIn account, no cookies and no browser. Call it from the Apify API, a schedule, Make, Zapier, n8n or an AI agent through the Apify MCP server.

### Why use it?

- **Lead enrichment**: add industry, headcount band and HQ to a CRM list before outreach.
- **Account-based marketing**: segment target accounts by size, type and location.
- **Market and competitor research**: compare follower counts and employee growth across a peer set.
- **Recruiting and sales intelligence**: find the company website, office addresses and specialties in one pass.
- **Content monitoring**: see what a company posted lately without opening LinkedIn.

### What data can it extract?

| Field | Example |
|---|---|
| name, slug, companyId | Stripe, stripe, 2135371 |
| linkedinUrl, website | linkedin.com/company/stripe, stripe.com |
| industry | Technology, Information and Internet |
| companySize | 5,001-10,000 employees |
| employeesOnLinkedIn | 16694 |
| followers | 1795615 |
| headquarters, address | South San Francisco, California (plus street, postal code, country) |
| founded, type | 2010, Privately Held |
| specialties | list of tags the company chose |
| description | the About text |
| locations | every office address listed, with the primary one flagged |
| logo, coverImage | image URLs |
| recentPosts (optional) | post URL, date, text, headline, likes |

### How to scrape LinkedIn company data

1. Open the Actor and paste your companies into **Companies**, one per line. URLs and slugs (`stripe`) are exact; names (`Stripe`) are turned into a slug by a guess.
2. Tick **Include recent posts** if you want the latest updates too.
3. Click **Start** and wait a few seconds per hundred companies.
4. Download the results as JSON, CSV or Excel, or read them through the Apify API.

### How much does it cost?

You pay **$3 per 1,000 companies** returned ($0.003 each), plus a tiny $0.00005 start fee per run. Recent posts cost nothing extra. Rows for companies that were not found, pages LinkedIn blocked after three tries and inputs we could not read are **free**. On the free Apify plan your monthly platform credit covers a few thousand companies; runs stop when the plan's usage limit is reached.

### Input

```json
{
    "companies": [
        "https://www.linkedin.com/company/stripe/",
        "microsoft",
        "Canva"
    ],
    "includeRecentPosts": true,
    "maxConcurrency": 10
}
```

### Output

```json
{
    "input": "https://www.linkedin.com/company/stripe/",
    "name": "Stripe",
    "slug": "stripe",
    "companyId": "2135371",
    "linkedinUrl": "https://www.linkedin.com/company/stripe",
    "website": "https://stripe.com",
    "industry": "Technology, Information and Internet",
    "companySize": "5,001-10,000 employees",
    "employeesOnLinkedIn": 16694,
    "followers": 1795615,
    "headquarters": "South San Francisco, California",
    "founded": 2010,
    "type": "Privately Held",
    "specialties": [],
    "locations": [{ "address": "354 Oyster Point Blvd, South San Francisco, California 94080, US", "primary": true }],
    "recentPosts": [{ "url": "https://www.linkedin.com/posts/...", "datePublished": "2026-10-28T16:00:00.000Z", "text": "...", "likes": 512 }],
    "error": null
}
```

A company that cannot be scraped comes back as `{ "input": "...", "error": "..." }` and is not charged. Download the dataset as JSON, CSV, Excel, XML or HTML.

### Tips

- Use the page URL or slug when you have it. A name like "Notion" may land on a different, smaller company that owns that slug.
- Duplicate inputs that point to the same slug are fetched once.
- The public page shows only a handful of recent posts. For a full post history, use a dedicated posts scraper.
- Founded year, specialties and website are blank when the company has not filled them in on LinkedIn.

### FAQ

#### Do I need a LinkedIn account or cookies?

No. The Actor reads the logged-out public page, so your own account is never involved.

#### Why did a company come back as not found?

The slug does not exist. This usually happens when a name was guessed into a slug; pass the company URL instead.

#### Can I scrape employees or people profiles?

No. This Actor covers company pages only.

#### Can I run it on a schedule?

Yes. Save your input as a task and add an Apify schedule to refresh the data daily or weekly.

### Disclaimer

This Actor collects publicly available company information. Company pages can include business contact details such as an office address or website. If you process data about people in the EU or UK, you are responsible for having a lawful basis under GDPR and similar laws. Use the data in line with LinkedIn's terms and applicable law.

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# Actor input Schema

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

LinkedIn company page URLs (https://www.linkedin.com/company/stripe/), slugs (stripe) or company names (Stripe). Names are turned into a slug by guessing, so a URL or slug is more reliable; a guess with no page comes back as a free 'not found' row. One company = one result. Free Apify plan: runs stop at your plan's monthly usage limit, so start with a few hundred companies.

## `includeRecentPosts` (type: `boolean`):

Add the latest posts shown on the public company page (usually 1-5): link, date, text and like count. No extra charge and no extra requests.

## `maxConcurrency` (type: `integer`):

How many company pages to load in parallel.

## Actor input object example

```json
{
  "companies": [
    "https://www.linkedin.com/company/stripe/",
    "microsoft",
    "Canva"
  ],
  "includeRecentPosts": false,
  "maxConcurrency": 10
}
```

# 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/stripe/",
        "microsoft",
        "Canva"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("tenfoldfleet/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": [
        "https://www.linkedin.com/company/stripe/",
        "microsoft",
        "Canva",
    ] }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,tenfoldfleet/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/siEnD2ebPwyFDX2XW/builds/BGx0lm2EpHlS5FZtH/openapi.json