You can access the 🏆 LinkedIn Jobs Scraper (Free) 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

$echo '{
<  "companyName": [
<    "Google",
<    "Apple"
<  ],
<  "companyId": [
<    "1441",
<    "162479"
<  ]
<}' |
<apify call valig/linkedin-jobs-scraper --silent --output-dataset

🏆 LinkedIn Jobs Scraper (Free) API through CLI

The Apify CLI is the official tool that allows you to use 🏆 LinkedIn Jobs Scraper (Free) locally, providing convenience functions and automatic retries on errors.

Install the Apify CLI

$npm i -g apify-cli
$apify login

Other API clients include:

🏆 LinkedIn Jobs Scraper (Free) API in Python

🏆 LinkedIn Jobs Scraper (Free) API in JavaScript

🏆 LinkedIn Jobs Scraper (Free) OpenAPI definition

🏆 LinkedIn Jobs Scraper (Free) API

Free Linkedin Job Scraper

forward_dinosaur/linkedin-job-scraper

A simple Linkedin Job Scraper to find new job opportunities.

forward_dinosaur

1.3K

1.0

⚡️Rapid Linkedin Jobs Scraper (No Cookies) | Free Jobs Scraper

worldunboxer/rapid-linkedin-scraper

Boost your job scraping with Rapid LinkedIn Scraper without account cookies! Effortlessly extract job listings, company details, and full job info in minutes. Automate job scraping with ease and stay ahead in your career. Fast, reliable, and efficient—get the data you need instantly. Try it now!

Umesh Patidar

606

5.0

⚡️ Linkedin Jobs Scraper

future_creator/linkedin-jobs-scraper

This LinkedIn Jobs scraper efficiently gathers detailed information about job vacancies on LinkedIn based on your specified criteria. Easily configure filters to match LinkedIn's search capabilities, ensuring precise and comprehensive selection of relevant job listings.

Future Creator

259

LinkedIn Job Details Scraper

piotrv1001/linkedin-job-details-scraper

The LinkedIn Job Details Scraper extracts job data from LinkedIn job detail URLs, capturing job titles, company names, logos, locations, posting times, descriptions, number of applicants, job criteria, similar jobs, and related job listings—ideal for recruitment insights and job market analysis.

Piotr Vassev

Fast LinkedIn Job Scraper

ivanvs/fast-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.

Ivan Vasiljević

5.0

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.

Ivan Vasiljević

355

4.1

LinkedIn Job Search Scraper

powerai/linkedin-job-search-scraper

Extract job listings from LinkedIn with detailed metadata including job titles, company information, requirements, and direct URLs. Perfect for job market research, competitor analysis, and talent acquisition.

PowerAI

5.0

🤖 LinkedIn jobs scraper w/ publishers

sbzh/linkedin-jobs-scraper-publishers

With this LinkedIn jobs scraper, get LinkedIn jobs data in real-time, including publishers information when available. Choose geographic zone, contract, level of experience or LinkedIn companies to get job offers that match with your need. One of the best LinkedIn jobs scraper. Feel free to try !

Sambzh

Linkedin Job Details (No Cookies)

apimaestro/linkedin-job-detail

Extract comprehensive LinkedIn job details including full description, company information, salary insights, and application statistics. Get detailed data from any LinkedIn job ID.

API Maestro

504

5.0

📌 LinkedIn Jobs Scraper (Fast & reliable listings)

aliand.api/LinkedIn-Jobs-Scraper-v2

Scrape LinkedIn job listings effortlessly! This powerful Apify Actor extracts job listings, including job titles, companies, locations, job link and detailed job descriptions, while ensuring data accuracy and efficiency. 💼 Perfect for recruiters, job seekers, and data analysts. (and not ONLY)