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Linkedin people search scraper

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Linkedin people search scraper

Linkedin people search scraper

curious_coder/linkedin-people-search-scraper
Try for free

7 days trial then $20.00/month - No credit card required now

Scrape search results from linkedin people search. Perform search on linkedin and pass the resulting url from address bar to this actor to scrape profiles.

You can access the Linkedin people search 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    "startPage": 1,
12    "minDelay": 2,
13    "maxDelay": 5
14};
15
16// Run the Actor and wait for it to finish
17const run = await client.actor("curious_coder/linkedin-people-search-scraper").call(input);
18
19// Fetch and print Actor results from the run's dataset (if any)
20console.log('Results from dataset');
21console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
22const { items } = await client.dataset(run.defaultDatasetId).listItems();
23items.forEach((item) => {
24    console.dir(item);
25});
26
27// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Linkedin people search scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Linkedin people search 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

  • 41 monthly users

  • 9 stars

  • >99% runs succeeded

  • 7.1 hours response time

  • Created in May 2023

  • Modified 16 days ago

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