# Linkedin Company Details Scraper Fast (`knowten/linkedin-company-details-scraper-fast`) Actor

Get full LinkedIn company profiles in bulk from URLs or company names: website, industry, size, employee and follower counts, HQ and all office addresses, founded year, logo, similar companies and latest posts. No cookies or account.

- **URL**: https://apify.com/knowten/linkedin-company-details-scraper-fast.md
- **Developed by:** [Knowten](https://apify.com/knowten) (community)
- **Categories:** Lead generation, Social media, Automation
- **Stats:** 5 total users, 4 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.40 / 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.

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 Fast

Get **complete LinkedIn company profiles in bulk** — from LinkedIn URLs or simply from **company names**. Website, industry, company size, employee and follower counts, headquarters and every office address, founded year, specialties, logo, similar companies and the latest posts. **No cookies, no LinkedIn account, no risk.**

- ⚡ **Blazing fast** — around **100 companies in ~20 seconds**, using only 256 MB of memory.
- 📧 **Contacts enrichment add-on** — emails, phone numbers and social media profiles (Facebook, Instagram, X, YouTube, TikTok…) from each company's website.
- 🔎 **Boolean text search** — keep only the companies whose profile matches `(fintech OR payments) AND NOT crypto`.
- 🔍 **Search by name** — don't have the URLs? Type the company names and we find their LinkedIn pages for you.
- 🔒 **No cookies or login** — your LinkedIn account is never used or put at risk.
- 🧠 **Smart matching** — works with any LinkedIn URL format, country subdomains, `/about` or `/jobs` pages, company IDs, and even old company handles that were renamed.
- 🆕 **Always fresh** — data is collected live from LinkedIn at run time, never from a stale cache.
- 💰 **Affordable** — **$0.40 per 1,000 companies**, and you pay only for results: companies that can't be found are never charged.
- 📤 Export to **Excel, CSV, JSON, HTML or XML**, or connect it to Google Sheets, HubSpot, Zapier, Make, n8n and your own app via API.

***

### 🤔 What can I use it for?

- 🧲 **Lead generation & enrichment** — enrich your CRM or prospect lists with website, industry, size and location of each company.
- 🎯 **Account-based marketing** — qualify target accounts by employee count, followers, industry and headquarters.
- 🕵️ **Competitor intelligence** — track competitors' growth (employees, followers), offices and what they post.
- 📈 **Market research** — map entire industries and discover similar companies automatically.
- 💼 **Recruiting & sales intelligence** — find company size, locations and open-jobs links before reaching out.
- 🤖 **AI agents & data pipelines** — feed clean, structured company data to your AI workflows.

***

### 📦 What data do you get?

| | Data |
| --- | --- |
| 🏢 | Company name, LinkedIn ID, handle and URL, page type (company / showcase / school) |
| 📝 | Tagline and full description ("About") |
| 🌐 | Website |
| 🏭 | Industry, company type (Public, Privately Held…), specialties |
| 👥 | Company size range, **number of employees on LinkedIn**, **number of followers** |
| 📅 | Founded year |
| 📍 | Headquarters and **all office locations** split into street, city, region, postal code and country |
| 🖼️ | Logo and cover image |
| 🔗 | Similar companies (name, industry, location, LinkedIn URL) and affiliated / showcase pages |
| 📰 | **Latest posts** (text, date, likes, link) |
| 💼 | Link to the company's open jobs on LinkedIn |
| 📧 | **Add-on:** emails, phone numbers and Facebook, Instagram, LinkedIn, X, YouTube, TikTok, Pinterest and Discord profiles from the company website |

#### Example result

```json
{
  "id": "2135371",
  "universalName": "stripe",
  "linkedinUrl": "https://www.linkedin.com/company/stripe",
  "pageType": "COMPANY",
  "name": "Stripe",
  "tagline": "Help increase the GDP of the internet.",
  "description": "Stripe builds programmable financial services. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to…",
  "website": "https://stripe.com",
  "logo": "https://media.licdn.com/dms/image/v2/D560BAQE2ZfJyfn-VCg/company-logo_200_200/…",
  "industry": "Technology, Information and Internet",
  "companyType": "Privately Held",
  "companySize": "5,001-10,000 employees",
  "employeeCountRange": { "start": 5001, "end": 10000 },
  "employeeCount": 16622,
  "followerCount": 1753590,
  "foundedOn": { "year": 2010 },
  "headquarter": "South San Francisco, California",
  "locations": [
    {
      "line1": "354 Oyster Point Blvd",
      "city": "South San Francisco",
      "geographicArea": "California",
      "postalCode": "94080",
      "country": "US",
      "headquarter": true,
      "text": "354 Oyster Point Blvd, South San Francisco, California 94080, US"
    },
    {
      "line1": "1 Wilton Park, Wilton Terrace",
      "city": "Dublin",
      "geographicArea": "County Dublin",
      "postalCode": "D02 FX04",
      "country": "IE",
      "headquarter": false,
      "text": "1 Wilton Park, Wilton Terrace, Dublin, County Dublin D02 FX04, IE"
    }
  ],
  "jobSearchUrl": "https://www.linkedin.com/jobs/search?f_C=2135371",
  "similarOrganizations": [
    { "name": "Airbnb", "universalName": "airbnb", "linkedinUrl": "https://www.linkedin.com/company/airbnb", "industry": "Software Development", "location": "San Francisco, CA" }
  ],
  "affiliatedPages": [
    { "name": "Stripe Support", "universalName": "stripe-support", "linkedinUrl": "https://www.linkedin.com/showcase/stripe-support/", "industry": "Technology, Information and Internet" }
  ],
  "recentPosts": [
    { "url": "https://www.linkedin.com/posts/stripe_introducing-personal-agent-protocol-activity-7513299438086332416-zrLF", "text": "We're working with Meta, Sierra, Genesys, Instinct, Rocket, …", "publishedAt": "2026-10-06T18:09:36.392Z", "likes": 291 }
  ],
  "originalQuery": { "url": "https://www.linkedin.com/company/stripe" }
}
```

#### Contacts enrichment add-on

Turn on **📧 Company contacts enrichment** and each company's website is visited to collect contact details, added to the same row:

```json
{
  "name": "Bancolombia",
  "website": "http://www.bancolombia.com",
  "emails": ["notificacijudicial@bancolombia.com.co"],
  "phones": ["601343 0000", "604510 9000"],
  "facebooks": ["https://www.facebook.com/bancolombia"],
  "instagrams": ["https://instagram.com/bancolombia"],
  "twitters": ["https://twitter.com/Bancolombia"],
  "linkedIns": ["https://www.linkedin.com/company/22690"],
  "youtubes": [], "tiktoks": [], "pinterests": [], "discords": []
}
```

***

### 💰 How much does it cost?

Simple pay-per-result pricing — no subscription, no monthly fee:

| | Price |
| --- | --- |
| 🏢 Company profile | **$0.40 per 1,000 companies** ($0.0004 each) |
| 📧 Contacts enrichment add-on (optional) | **+$0.40 per 1,000 companies** — charged only when contacts are found |

Examples: 1,000 company profiles cost **$0.40**; with contacts enrichment, at most **$0.80**. Companies that can't be found are never charged, and the run stops automatically at your spending limit.

***

### 🚀 How to use it

1. Click **Try for free**.
2. Paste **LinkedIn company URLs** — and/or type **company names** in the search field.
3. Click **Start**.
4. Download your data as Excel, CSV or JSON, or use it via API.

No setup, no cookies, no LinkedIn account.

#### 🔎 Boolean text search

Fill **Text search (boolean)** to keep only the companies whose name, tagline, description, industry or specialties match. Companies that don't match are not charged (nor enriched with contacts).

| Syntax | Meaning | Example |
| --- | --- | --- |
| `AND`, `&&`, `+term`, or a space | both | `software AND cloud`, `software cloud` |
| `OR`, `\|\|` | either | `logistics OR "last mile"` |
| `NOT`, `!term`, `-term` | exclude | `marketing -agency` |
| `"…"` | exact phrase | `"machine learning"` |
| `( )` | grouping | `(AI OR IA) AND (bank* OR fintech)` |
| `*` | wildcard | `consult*` matches consulting, consultancy |

Matching works on whole words and ignores case and accents: `AI` doesn't match "said", and `logistica` matches "Logística".

#### Accepted inputs

- Company pages: `https://www.linkedin.com/company/google`
- Country subdomains and sub-pages: `https://co.linkedin.com/company/bancolombia/about/`
- Company handles: `netflix`
- Company IDs: `https://www.linkedin.com/company/9997324`
- Showcase and school pages: `https://www.linkedin.com/showcase/rappi-ads/`
- Company names: `Anthropic`, `Mercado Libre`

Example input:

```json
{
  "companies": [
    "https://www.linkedin.com/company/google",
    "https://www.linkedin.com/company/microsoft"
  ],
  "searches": ["Anthropic", "Mercado Libre"],
  "scrapeContacts": true
}
```

Already using another LinkedIn company scraper? Your `companies` / `searches` input works as-is.

***

### ❓ FAQ

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

No. Linkedin Company Details Scraper Fast only reads public company information. Your LinkedIn account is never involved, so it can't be restricted.

#### How fast is it?

About **100 companies in ~20 seconds**, depending on LinkedIn's load. With the contacts enrichment add-on, about 100 companies in 1.5 minutes (every company website is visited). Thousands of companies take just a few minutes.

#### How does the search by company name work?

For each name we find the best-matching LinkedIn company page (an exact name match is preferred) and return its full profile. For maximum precision with common names, use the LinkedIn URL.

#### What happens if a company can't be found?

It is skipped, reported in the run log and **not charged**. Renamed company handles are detected automatically.

#### How does the contacts enrichment work?

When the add-on is on, we visit each company's website (homepage plus its contact/about page when needed) and extract emails, phone numbers and social media profile links. It is charged only for companies where at least one contact is found.

#### Is the data up to date?

Yes. Every run collects the data live from LinkedIn — nothing is served from a cache.

#### Can I integrate it with my tools?

Yes. Use Apify integrations for Google Sheets, HubSpot, Zapier, Make, n8n, Slack and more, webhooks, or the Apify API with ready-to-use clients for JavaScript and Python (see the **API** tab).

#### Can I schedule it?

Yes. Use Apify Schedules to refresh your company data daily, weekly or monthly.

#### Is it legal to scrape LinkedIn company data?

This actor only extracts publicly available company information. Always use the data in line with applicable laws and regulations, and consult a lawyer if you are unsure.

#### I have a question or a feature request

Open an issue in the **Issues** tab — we reply quickly and love adding features our users need.

***

**Disclaimer**: This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of LinkedIn Corporation.

# Actor input Schema

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

LinkedIn company, showcase or school page URLs, e.g. <code>https://www.linkedin.com/company/google</code>. Country subdomains (co.linkedin.com), sub-pages (/about, /jobs) and plain company handles (<code>netflix</code>) also work.

## `searches` (type: `array`):

Don't have the URLs? Enter company names and we find the LinkedIn page for each one (the best match is used).

## `booleanQuery` (type: `string`):

Keep only companies whose name, tagline, description, industry or specialties match. Supports <code>AND</code>, <code>OR</code>, <code>NOT</code>, <code>"exact phrases"</code>, <code>(parentheses)</code> and <code>\*</code> wildcards; ignores case and accents. Example: <code>(fintech OR "payments") AND NOT crypto</code>. Companies that don't match are not charged.

## `scrapeContacts` (type: `boolean`):

Visit each company website and collect emails, phone numbers and social media profiles (Facebook, Instagram, LinkedIn, X, YouTube, TikTok, Pinterest, Discord). Perfect for outreach. Charged only for companies where contacts are found.

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

Apify Proxy is used by default and recommended.

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

Companies scraped in parallel. Leave empty for the automatic setting (scales with the run memory).

## Actor input object example

```json
{
  "companies": [
    "https://www.linkedin.com/company/google",
    "https://www.linkedin.com/company/microsoft"
  ],
  "scrapeContacts": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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",
        "https://www.linkedin.com/company/microsoft"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("knowten/linkedin-company-details-scraper-fast").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",
        "https://www.linkedin.com/company/microsoft",
    ],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("knowten/linkedin-company-details-scraper-fast").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",
    "https://www.linkedin.com/company/microsoft"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call knowten/linkedin-company-details-scraper-fast --silent --output-dataset

```

## MCP server setup

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

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/dt8VdWuhrVTDYxJ6a/builds/SY2SaA8WYist60UGX/openapi.json