Pricing

$19.99/month + usage

Linkedin Jobs Scraper

Scrape LinkedIn job listings fast with this LinkedIn Jobs Scraper 💼 Extract job titles, company names, locations, descriptions, salaries, and posting dates with ease 📊 Perfect for job market research, lead generation, recruitment, and hiring trends analysis 🔍🚀

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

ScraperX

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Jobs

Lead generation

Automation

You can access the Linkedin Jobs 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    "companyInput": [
12        "Google"
13    ],
14    "proxyConfiguration": {
15        "useApifyProxy": false
16    }
17};
18
19// Run the Actor and wait for it to finish
20const run = await client.actor("scraperx/linkedin-jobs-scraper").call(input);
21
22// Fetch and print Actor results from the run's dataset (if any)
23console.log('Results from dataset');
24console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
25const { items } = await client.dataset(run.defaultDatasetId).listItems();
26items.forEach((item) => {
27    console.dir(item);
28});
29
30// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Linkedin Jobs Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Linkedin Jobs 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 Jobs Scraper API in Python

Linkedin Jobs Scraper API through CLI

Linkedin Jobs Scraper OpenAPI definition

Linkedin Jobs Scraper API

🔥 LinkedIn Jobs Scraper

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Actively Maintained - Cheap Rental & Run Cost - LinkedIn Jobs Scraper + Companies - to extract job listings worldwide. Export results for analysis, connect via API, & integrate with other apps. No cookies required. n8n node: n8n-nodes-linkedin-jobs-scraper

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lntb/linkedin-jobs-scraper---multiple-titles-locations-in-one

This LinkedIn Job Scraper allows you to extract job listings across multiple job titles and locations: 🔍 Key Features: Input multiple job titles (e.g. "Software Engineer", "Data Analyst") Input multiple locations (e.g. "London", "New York", "Berlin") Filters by work type: On-site, Remote, Hybrid

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⚡️Rapid Linkedin Jobs Scraper | Free Jobs Scraper

worldunboxer/rapid-linkedin-scraper

Free LinkedIn job scraper tool to extract job listings, company details, and complete job information instantly. Scrape LinkedIn jobs by keywords, location, or company. Get structured data including titles, descriptions, salaries, requirements, and employer info. Fast, efficient job data extraction.

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🏆 LinkedIn Jobs Scraper

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🚀 Automatically extract LinkedIn job listings based on your selected role and location, saving time and effort in your job search. 💼✨

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LinkedIn Job Scraper

ivanvs/linkedin-job-scraper

Extract job listings from Linkedin. Scrape details job details like when it is posted, number of applicants, location and salary range. Download listings data in JSON, XML, Excel.