Deprecated

Pricing

from $15.00 / 1,000 job listings

See alternative Actors

Go to Apify Store

LinkedIn Jobs Scraper — Pay Per Result

Deprecated

See alternative Actors

OFFLINE — not scheduled to return. Residential + Playwright unit economics; historical success below the keep gate. Runs exit immediately with no per-item charge.

Pricing

from $15.00 / 1,000 job listings

Rating

0.0

(0)

Developer

Smorgi Apps

Actor stats

Bookmarked

Total users

Monthly active users

17 days ago

Last modified

Categories

Jobs

Lead generation

Automation

You can access the LinkedIn Jobs Scraper — Pay Per Result 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 API & Integrations 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": ["software engineer"],
10    "location": "United States",
11    "maxItemsPerQuery": 25,
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("smorgi_apps/linkedin-jobs-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
19for item in client.dataset(run.default_dataset_id).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

LinkedIn Jobs Scraper — Pay Per Result | Apify API in Python

The Apify API client for Python is the official library that allows you to use LinkedIn Jobs Scraper — Pay Per Result 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 — Pay Per Result API in JavaScript

LinkedIn Jobs Scraper — Pay Per Result API through CLI

LinkedIn Jobs Scraper — Pay Per Result OpenAPI definition

LinkedIn Jobs Scraper — Pay Per Result API

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.

cheap_scraper

50K

4.1

(41)

LinkedIn Jobs Scraper - No Cookies, Pay Per Result

thirdwatch/linkedin-jobs-scraper

Scrape LinkedIn public job listings worldwide. Extract title, company, location, salary, description, skills, experience level, job type. Fast and full scrape modes. 30+ countries, 100+ cities. No login needed.

Thirdwatch

175

3.8

(3)

LinkedIn Jobs Scraper - Listings, Multi-Title, Location, CSV

flash_scraper/linkedin-jobs-scraper

LinkedIn Jobs Scraper with no login or cookies: title, company, location, posted date, full description, seniority, applicant count, Easy Apply flag, advertised pay when shown. Date/experience filters, title include/exclude, only-new-jobs monitoring, webhook alerts. CSV/JSON. $0.50 per 1,000 jobs.

Flash Scrape

5.0

(1)

LinkedIn Jobs Scraper - Fast, Cheap & No Login Required

number_one_scraper/cheap-advance-linkedin-jobs-scraper

Scrape LinkedIn job postings at the lowest cost on the market, pay only per result. Extract thousands of jobs with full details, filters, deduplication, and optional company enrichment. No login required.

Bhargava Sharabha Pagidimarri

200

5.0

(1)

🔥 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

984

4.0

(10)

Advanced LinkedIn Jobs Scraper – Fast & Affordable

practicaltools/linkedin-jobs

The most affordable LinkedIn job scraper on Apify. Extract 1,000+ jobs in minutes, including full details (title, company, location, description, link). Pay-as-you-go, no cookies, no hassle.

Practical Tools

444

5.0

(3)

Google Jobs Scraper API - Pay Per Result

johnvc/google-jobs-scraper---pay-per-result

The most advanced Google Jobs Scraper available! Built with enterprise-grade flexibility, lightning-fast performance, and comprehensive customization options. Extract detailed job data, application links, company information, and full job descriptions. Unlimited usage, no monthly rental fees.

John

396

5.0

(2)

LinkedIn Jobs Scraper by URL — Listings, Salaries (No Login)

cryptosignals/linkedin-jobs-scraper

Scrape LinkedIn job listings by search URL — extract job title, company, salary, location, skills and apply links. No login, no API key, no rate limits. Bypass anti-bot detection. CSV/JSON output. Pay per result. Proxycurl alternative for job board scraping and recruiter lead generation.

Web Data Labs

762

5.0

(3)

LinkedIn Jobs Scraper

orgupdate/linkedin-jobs-scraper

The latest and most advanced LinkedIn Job Scraper. Our LinkedIn Jobs Scraper extracts real-time job postings at scale from all over the world. A new research tool built for recruitment, insights and HR.

Orgupdate

654

LinkedIn Jobs Scraper

herus13/linkedin-jobs-scraper

Scrape LinkedIn job listings by keyword, location or saved search URL, with no login and no account. Every row carries title, company_name, location, salary_min, salary_max, applicants_count, posted_at and full company detail. Export JSON, CSV or Excel.

herus13

Linkedin Jobs Scraper

logical_scrapers/linkedin-jobs-scraper

A powerful LinkedIn job listings scraper that extracts detailed job information. Perfect for recruiters, job seekers, and market researchers looking to gather comprehensive job market data.