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LinkedIn Company Profile Scraper

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LinkedIn Company Profile Scraper

LinkedIn Company Profile Scraper

pratikdani/linkedin-company-profile-scraper
Try for free

Pay $50.00 for 1,000 results

This LinkedIn company extractor program enables you to gather comprehensive information on multiple companies in bulk. It provides details such as company name, address, phone numbers, website, employee count, and more.

You can access the LinkedIn Company Profile Scraper programmatically from your own JavaScript 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.

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    "url": "https://linkedin.com/company/apple"
12};
13
14// Run the Actor and wait for it to finish
15const run = await client.actor("pratikdani/linkedin-company-profile-scraper").call(input);
16
17// Fetch and print Actor results from the run's dataset (if any)
18console.log('Results from dataset');
19console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
20const { items } = await client.dataset(run.defaultDatasetId).listItems();
21items.forEach((item) => {
22    console.dir(item);
23});
24
25// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

LinkedIn Company Profile Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use LinkedIn Company Profile 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:

Developer
Maintained by Community

Actor Metrics

  • 78 monthly users

  • 18 stars

  • 60% runs succeeded

  • 2.6 hours response time

  • Created in Jul 2024

  • Modified 2 months ago