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

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "queries": ["devops engineer"],
10    "locations": ["United States"],
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("saadmohsin/linkedin-jobs-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Linkedin Jobs Scraper API in Python

The Apify API client for Python is the official library that allows you to use Linkedin Jobs Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Linkedin Jobs Scraper API in JavaScript

Linkedin Jobs Scraper API through CLI

Linkedin Jobs Scraper OpenAPI definition

Linkedin Jobs Scraper API

Best Linkedin Jobs Scrapy

lads.yc/easy-linkedin-jobs-scrapy

Easy way to get jobs and details

YC W

Linkedin Jobs Scraper - PPR

curious_coder/linkedin-jobs-scraper

Scrape jobs from linkedin jobs search results along with company details. Get key information to find contact info

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LinkedIn Jobs Scraper | Remove Duplicate Jobs | Pay Per Result

cheap_scraper/linkedin-job-scraper

LinkedIn Jobs Scraper | Remove Duplicate Jobs. The LinkedIn jobs scraper allows you to collect jobs in 2 ways: By providing one or more start URLs, or By entering multiple keywords, search queries. You can use either method individually or combine both.

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Linkedin Jobs Scraper

deepanshusharm/linkedin-jobs-scraper

A LinkedIn job scraper this scraper extracts comprehensive job listings from LinkedIn with advanced data processing and cleaning capabilities.

Deepanshu Sharma

🤖 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

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Jobs data

neuralhex/jobs-data

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Cheap - LinkedIn Job Scraper

toodeep/cheap---linkedin-job-scraper

Effortlessly scrape thousands of LinkedIn job postings by keywords and location. Ideal for data engineers, analysts, researchers, and recruiters. Automate scraping schedules, save key details, and power your job market analysis. Stay tuned for exciting updates and new features!

Mandeep

Linkedin Job Scraping

quaking_pail/linkedin-job-scraping

This Apify actor scrapes job listings from LinkedIn based on user-defined search parameters. It uses Selenium with a headless Chrome browser to navigate LinkedIn job pages and extract comprehensive job details.

AI_Builder

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🔥 LinkedIn Jobs Scraper – Multiple Titles & Locations in One!

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

LNTB

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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.