LinkedIn Jobs Scraper

This Apify Actor scrapes publicly available job listings from LinkedIn Jobs search pages and extracts both listing-level and job-detail data, including title, company, location, salary, date posted, easy-apply flag, and full job description fields. It supports filtering by keyword, location, and remote-only jobs, and is built for dynamic JavaScript pages using Crawlee with Playwright.

Input parameters

Field	Type	Required	Default	Description
keyword	string	Yes	-	Job title or skill e.g. developer, designer, marketing
location	string	Yes	-	City or country e.g. Berlin, United States, Remote
maxJobs	integer	No	50	Maximum number of jobs to scrape (1-200)
remote	boolean	No	false	Filter for remote jobs only

Output fields

Field	Type	Description
title	string	Job title
company	string	Hiring company
location	string	Job location
salary	string	Salary text when available
datePosted	string	Date posted text/date
jobUrl	string	Canonical LinkedIn job URL
easyApply	boolean	True if Easy Apply appears on listing
description	string	Full job description text
seniorityLevel	string	Seniority level value
employmentType	string	Employment type value
jobFunction	string	Job function value
industries	string	Industry or industries value

Example input

{
  "keyword": "developer",
  "location": "Berlin",
  "maxJobs": 40,
  "remote": true
}

Example output

[
  {
    "title": "Frontend Developer",
    "company": "Northstar Labs",
    "location": "Berlin, Germany",
    "salary": "EUR 65,000 - EUR 80,000 per year",
    "datePosted": "2026-05-07",
    "jobUrl": "https://www.linkedin.com/jobs/view/1234567890",
    "easyApply": true,
    "description": "We are looking for a Frontend Developer to build and maintain modern web interfaces...",
    "seniorityLevel": "Mid-Senior level",
    "employmentType": "Full-time",
    "jobFunction": "Engineering",
    "industries": "Software Development"
  },
  {
    "title": "Backend Engineer",
    "company": "Atlas Cloud",
    "location": "Austin, Texas, United States",
    "salary": "",
    "datePosted": "2026-05-05",
    "jobUrl": "https://www.linkedin.com/jobs/view/2233445566",
    "easyApply": false,
    "description": "Atlas Cloud is hiring a Backend Engineer to design distributed services and APIs...",
    "seniorityLevel": "Associate",
    "employmentType": "Contract",
    "jobFunction": "Information Technology",
    "industries": "Information Services"
  }
]

Usage

1. Install dependencies:

$npm install

2. Run locally:

$npm start

3. Run on Apify platform by deploying this actor and providing input through the actor UI.

Proxy requirements

LinkedIn applies aggressive anti-bot controls. Residential proxies are required for reliable scraping and this actor is configured to use the Apify residential proxy group by default.