LinkedIn Company About Scraper

Pricing

$24.99/month + usage

LinkedIn Company About Scraper

Scrape detailed company info from LinkedIn with the LinkedIn Company About Scraper. Extract descriptions, industry, size, headquarters, specialties, and founding details. Ideal for market research, competitor analysis, and business insights. Fast, accurate, and scalable for any company.

Pricing

$24.99/month + usage

Rating

0.0

(0)

Developer

Scrapier

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Lead generation

Automation

Social media

You can access the LinkedIn Company About Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "startUrls": [
12        "https://www.linkedin.com/company/microsoft",
13        "google",
14        "apple"
15    ],
16    "proxyConfiguration": {
17        "useApifyProxy": false
18    }
19};
20
21// Run the Actor and wait for it to finish
22const run = await client.actor("scrapier/linkedin-company-about-scraper").call(input);
23
24// Fetch and print Actor results from the run's dataset (if any)
25console.log('Results from dataset');
26console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
27const { items } = await client.dataset(run.defaultDatasetId).listItems();
28items.forEach((item) => {
29    console.dir(item);
30});
31
32// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

LinkedIn Company About Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use LinkedIn Company About Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

LinkedIn Company About Scraper API in Python

LinkedIn Company About Scraper API through CLI

LinkedIn Company About Scraper OpenAPI definition

LinkedIn Company About Scraper API

Linkedin Company About Scraper

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Scrape LinkedIn company data with the LinkedIn Company Scraper. Extract company names, industries, employee counts, locations, and descriptions. Ideal for market research, lead generation, and competitor analysis. Fast, accurate, and scalable for single or bulk company profiles.

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🏢 LinkedIn Company About Scraper extracts detailed company info from LinkedIn About pages — including website, industry, size, headquarters, followers & description. 🚀 Ideal for B2B research, sales, or recruitment. Export clean data in JSON, CSV, or Excel via Apify API or Python!

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api-empire/linkedin-company-about-scraper

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simpleapi/linkedin-company-scraper-actor

LinkedIn Company Scraper extracts detailed data from LinkedIn company pages, including overview, industry, size, headquarters, specialties, website, founded year, posts, and employee insights. Ideal for market research, lead generationand automating structured company data collection.

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Linkedin Company About Scraper

simpleapi/linkedin-company-about-scraper

LinkedIn Company About Scraper extracts company 'About' pages from LinkedIn: overview, industry, size, headquarters, website, specialities, founded date, mission, and key metrics. Configure company list or search to collect clean, structured company profiles for research. and competitive intel now

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LinkedIn Company Information Scrapper

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scraper-engine/linkedin-company-profile-scraper

LinkedIn Company Page Scraper extracts company details including name, industry, size, description, specialties, posts, and engagement stats. Perfect for market research, lead generation, or competitor analysis. Export structured data in JSON, CSV, or Excel for easy insights.

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