extracto.cloud

LinkedIn Company Scraper

Collect public LinkedIn company details from company URLs or name searches, including website and employee information.

Current pricing: $0.006515 / 1 Company · minimum 10 credits/run. Review the estimate before running.

linkedin-company

Endpoint

Method
POST
URL
https://extracto.cloud/api/v1/parsers/linkedin-company
Result delivery
Add webhook_url and optional webhook_secret to receive the saved result. Webhook setup and signatures →
Auth
X-API-KEY: ext_...

Response

{
  "success": true,
  "tool": "linkedin-company",
  "parser": "linkedin-company",
  "count": 0,
  "data": []
}

Documentation

# Linkedin Company Details Scraper (No Cookies) ✅ Bulk (`harvestapi/linkedin-company`) parser

Extract detailed information from LinkedIn Companies such as company name, address, phone numbers, website, employee count, and more. Find LinkedIn company URLs by name in Bulk. No cookies or account required.

- **URL**: https://extracto.cloud/docs/api/parsers/linkedin-company
- **Developed by:** [HarvestAPI](https://Extracto.com/harvestapi) (community)
- **Categories:** Automation, Lead generation, Social media
- **Stats:** 24,122 total users, 6,410 monthly users, 100.0% runs succeeded, 276 bookmarks
- **User rating**: 4.48 out of 5 stars

## Pricing

from $3.00 / 1,000 companies

This parser is paid per event. You are not charged for the Extracto platform usage, but only a fixed price for specific events.
Since this parser supports Extracto Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.Extracto.com/parsers/running/parsers-in-store.md#pay-per-event

## What's an Extracto parser?

An parser is a serverless cloud program that runs on the Extracto platform. It has two run modes.
In Batch mode, an parser 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 parser provides a web server which can be used as a website, API, or an MCP server.

Extracto vocabulary and the platform model are defined once, in the agent quickstart at https://Extracto.com/agents.md.

## How to integrate an parser?

If asked about integration, you help developers integrate parsers 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://Extracto.com/agents.md: the Extracto MCP server, Agent Skills with the Extracto 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 parser'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.Extracto.com/api/client/js/docs.md) (`npm install Extracto-client`) and [Python](https://docs.Extracto.com/api/client/python/docs.md) (`pip install Extracto-client`).

# README

### LinkedIn Company Details Bulk Scraper

Our powerful tool helps you search and scrape LinkedIn Companies without compromising security or violating platform policies. Extract full company details, including name, logo, employee count, industries, and more. This tool is perfect for businesses looking to gather data on competitors or potential partners.

#### Key Benefits

- No cookies or account required: Access company data without sharing cookies or risking account restrictions
- Low pricing: $4 per 1k companies.
- Fast response times deliver data in seconds
- No caching, fresh data.
- Concurrency: each parser works scraping 6 companies at a time.

### How It Works

- Provide List of LinkedIn company URLs or company names. We will find company URL by name via LinkedIn search.

Note: For finding multiple companies with advanced filters, please use our [Linkedin Company Search Scraper](https://extracto.cloud/docs/api/parsers/linkedin-company)\
Find more Linkedin scraping parsers <https://Extracto.com/harvestapi>

#### Data You'll Receive

Here is the example company output of this parser:

```json
{
  "id": "165158",
  "universalName": "netflix",
  "linkedinUrl": "https://www.linkedin.com/company/netflix",
  "name": "Netflix",
  "tagline": "Play, pause, and resume watching anytime and anywhere. ",
  "website": "https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin",
  "logo": "https://media.licdn.com/dms/image/v2/D4E0BAQGMva5_E8pUjw/company-logo_400_400/company-logo_400_400/0/1736276678240/netflix_logo?e=1752710400&v=beta&t=HKFjg5oKdKCdFjCLrDEg-jGO5rCrj56J5QM-PjdNK20",
  "foundedOn": {
    "year": 1997
  },
  "employeeCount": 16985,
  "employeeCountRange": {
    "start": 10001
  },
  "followerCount": 10899841,
  "description": "Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.",
  "companyType": "Public Company",
  "locations": [
    {
      "country": "US",
      "geographicArea": "CA",
      "city": "Los Gatos",
      "line1": "100 Winchester Circle",
      "headquarter": true,
      "description": "Headquarters",
      "parsed": {
        "text": "Los Gatos, CA, United States",
        "countryCode": "US",
        "regionCode": null,
        "country": "United States",
        "countryFull": "United States of America",
        "state": "California",
        "city": "Los Gatos"
      }
    },
    {
      "country": "US",
      "geographicArea": "CA",
      "city": "Los Angeles",
      "line1": "5808 W Sunset Blvd",
      "postalCode": "90028",
      "headquarter": false,
      "description": "Los Angeles",
      "parsed": {
        "text": "Los Angeles, CA, United States",
        "countryCode": "US",
        "regionCode": null,
        "country": "United States",
        "countryFull": "United States of America",
        "state": "California",
        "city": "Los Angeles"
      }
    },
    {
      "country": "BR",
      "geographicArea": "SP",
      "city": "Barueri",
      "line1": "Alameda Xingu, 350",
      "postalCode": "06455-030",
      "headquarter": false,
      "description": "Sao Paulo ",
      "parsed": {
        "text": "Barueri, Brazil",
        "countryCode": "BR",
        "regionCode": null,
        "country": "Brazil",
        "countryFull": "Brazil",
        "state": "São Paulo",
        "city": "Barueri"
      }
    },
    {
      "country": "US",
      "city": "New York",
      "line1": "245 W 17th St",
      "postalCode": "10011",
      "headquarter": false,
      "description": "New York City",
      "parsed": {
        "text": "New York City, NY, United States",
        "countryCode": "US",
        "regionCode": null,
        "country": "United States",
        "countryFull": "United States of America",
        "state": "New York",
        "city": "New York City"
      }
    },
    {
      "country": "NL",
      "geographicArea": "North Holland",
      "city": "Amsterdam",
      "line1": "Stadhouderskade 55",
      "postalCode": "1072 AB",
      "headquarter": false,
      "description": "Amsterdam",
      "parsed": {
        "text": "Amsterdam, Netherlands",
        "countryCode": "NL",
        "regionCode": null,
        "country": "Netherlands",
        "countryFull": "Netherlands",
        "state": "North Holland",
        "city": "Amsterdam"
      }
    },
    {
      "country": "SG",
      "city": "Marina South",
      "line1": "9 Straits Vw",
      "postalCode": "01",
      "headquarter": false,
      "description": "Singapore",
      "parsed": {
        "text": "Singapore",
        "countryCode": "SG",
        "regionCode": null,
        "country": "Singapore",
        "countryFull": "Singapore"
      }
    },
    {
      "country": "MX",
      "geographicArea": "Cuauhtémoc",
      "city": "Mexico City",
      "line1": "Av. Paseo de la Reforma 483",
      "line2": "Torre Reforma, Floor 37",
      "postalCode": "06500",
      "headquarter": false,
      "parsed": {
        "text": "Mexico City, Mexico",
        "countryCode": "MX",
        "regionCode": null,
        "country": "Mexico",
        "countryFull": "Mexico",
        "state": "Ciudad de México",
        "city": "Mexico City"
      }
    }
  ],
  "specialities": ["Revolutionizing the way people watch TV shows and movies!"],
  "industries": ["Entertainment Providers"],
  "logos": [
    {
      "url": "https://media.licdn.com/dms/image/v2/D4E0BAQGMva5_E8pUjw/company-logo_400_400/company-logo_400_400/0/1736276678240/netflix_logo?e=1752710400&v=beta&t=HKFjg5oKdKCdFjCLrDEg-jGO5rCrj56J5QM-PjdNK20",
      "width": 400,
      "height": 400,
      "expiresAt": 1752710400000
    },
    {
      "url": "https://media.licdn.com/dms/image/v2/D4E0BAQGMva5_E8pUjw/company-logo_200_200/company-logo_200_200/0/1736276678240/netflix_logo?e=1752710400&v=beta&t=7axF3URweM3O6u6N0ZxnzcHLKcAoEK3uOtoabdq8wNg",
      "width": 200,
      "height": 200,
      "expiresAt": 1752710400000
    },
    {
      "url": "https://media.licdn.com/dms/image/v2/D4E0BAQGMva5_E8pUjw/company-logo_100_100/company-logo_100_100/0/1736276678240/netflix_logo?e=1752710400&v=beta&t=GIwyMdkZH5pYo2fMeEWP3xueVMBgyqhH-6DHGvwV_GI",
      "width": 100,
      "height": 100,
      "expiresAt": 1752710400000
    }
  ],
  "backgroundCovers": [
    {
      "url": "https://media.licdn.com/dms/image/v2/D4E3DAQEKmQHFFvC4Fw/image-scale_191_1128/image-scale_191_1128/0/1736891212728/netflix_cover?e=1747944000&v=beta&t=Vieuyq2jUxjQ7qPzevLX0MDmnmw0SeXleAHEE6TK_wk",
      "width": 1128,
      "height": 191,
      "expiresAt": 1747944000000
    },
    {
      "url": "https://media.licdn.com/dms/image/v2/D4E3DAQEKmQHFFvC4Fw/image-scale_127_750/image-scale_127_750/0/1736891212679/netflix_cover?e=1747944000&v=beta&t=qX9GumINAirVFgcF6orNCsWdlz0JTH4EBesi0FFJpl4",
      "width": 749,
      "height": 127,
      "expiresAt": 1747944000000
    },
    {
      "url": "https://media.licdn.com/dms/image/v2/D4E3DAQEKmQHFFvC4Fw/image-scale_108_640/image-scale_108_640/0/1736891212679/netflix_cover?e=1747944000&v=beta&t=54IJeicLdWD8ZxR3tfv5zEdgSfYBYMJybY1kvHjKc84",
      "width": 108,
      "height": 18,
      "expiresAt": 1747944000000
    }
  ],
  "phone": null,
  "fundingData": {
    "fundingRoundListCrunchbaseUrl": "https://www.crunchbase.com/organization/netflix/funding_rounds/funding_rounds_list?utm_source=linkedin&utm_medium=referral&utm_campaign=linkedin_companies&utm_content=all_fundings",
    "lastFundingRound": {
      "investorsCrunchbaseUrl": "https://www.crunchbase.com/funding_round/netflix-post-ipo-debt--63ddc6b4?utm_source=linkedin&utm_medium=referral&utm_campaign=linkedin_companies&utm_content=all_investors",
      "leadInvestors": [],
      "fundingRoundCrunchbaseUrl": "https://www.crunchbase.com/funding_round/netflix-post-ipo-debt--63ddc6b4?utm_source=linkedin&utm_medium=referral&utm_campaign=linkedin_companies&utm_content=last_funding",
      "fundingType": "POST_IPO_DEBT",
      "moneyRaised": {
        "currencyCode": "USD",
        "amount": "1800000000"
      },
      "numOtherInvestors": 0,
      "announcedOn": {
        "month": 8,
        "day": 1,
        "year": 2024
      }
    },
    "companyCrunchbaseUrl": "https://www.crunchbase.com/organization/netflix?utm_source=linkedin&utm_medium=referral&utm_campaign=linkedin_companies&utm_content=profile_cta",
    "numFundingRounds": 15,
    "updatedAt": 1723460925
  }
}
```

### Linkedin Company Data API

The parser stores results in a dataset. You can export data in various formats such as CSV, JSON, XLS, etc. You can scrape and access data on demand using API.

#### Support and Feedback

We continuously enhance our tools based on user feedback. If you encounter technical issues or have suggestions for improvement:

- Create an issue on the parser’s Issues tab in Extracto Console
- Or contact us at [email protected]

**\* \* \***

**Disclaimer**: This parser is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of LinkedIn Corporation. All trademarks are property of their respective owners.

# parser input Schema

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

List of LinkedIn company URLs

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

List of company names to search on LinkedIn

## parser input object example

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

# API

You can run this parser 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 'Extracto-client';

// Initialize the ApifyClient with your Extracto API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare parser input
const input = {
    "companies": [
        "https://www.linkedin.com/company/google",
        "https://www.linkedin.com/company/microsoft"
    ]
};

// Run the parser and wait for it to finish
const run = await client.parser("harvestapi/linkedin-company").call(input);

// Fetch and print parser results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.Extracto.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.Extracto.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Extracto API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the parser input
run_input = { "companies": [
        "https://www.linkedin.com/company/google",
        "https://www.linkedin.com/company/microsoft",
    ] }

# Run the parser and wait for it to finish
run = client.parser("harvestapi/linkedin-company").call(run_input=run_input)

# Fetch and print parser results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.Extracto.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.Extracto.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "companies": [
    "https://www.linkedin.com/company/google",
    "https://www.linkedin.com/company/microsoft"
  ]
}' |
Extracto call harvestapi/linkedin-company --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "Extracto": {
            "type": "http",
            "url": "https://mcp.Extracto.com/?tools=fetch-parser-details,harvestapi/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 Extracto Console (https://console.Extracto.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.Extracto.com/v2/parsers/UwSdACBp7ymaGUJjS/builds/4v8reWggmTRf8EImM/openapi.json

Request Body

{
  "input": {
    "companies": [
        "https://www.linkedin.com/company/google",
        "https://www.linkedin.com/company/microsoft"
    ]
}
}

cURL

curl -X POST https://extracto.cloud/api/v1/parsers/linkedin-company \
  -H "X-API-KEY: ext_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{"input":{"companies":["https://www.linkedin.com/company/google","https://www.linkedin.com/company/microsoft"]}}'