LinkedIn Job Radar

Search LinkedIn jobs by keywords and locations. Get full descriptions, seniority level, employment type, and industries — no login required.

What it does

• Searches LinkedIn's public job board using keyword + location combinations
• Visits each job page to extract the full description, seniority level, employment type, job function, industries, and apply URL
• Filters results by location, company name, or remote/hybrid work
• Supports multiple keywords and locations in a single run

Output fields

Each result includes:

Field	Example
job_id	4195830261
title	Software Engineer
company	adesso SE
location	Düsseldorf, North Rhine-Westphalia, Germany
posted_at	2 days ago
description	Full job description (2,000–7,000+ chars)
seniorityLevel	Mid-Senior level
employmentType	Full-time
jobFunction	Engineering and Information Technology
industries	IT Services and IT Consulting
applyUrl	Direct apply link
url	Canonical LinkedIn job URL
source	linkedin
scraped_at	ISO timestamp

Turn off Scrape job details to skip the detail page visit. You'll get titles, companies, locations, and URLs much faster — but no full description or metadata.

Built-in filters

• Location — strict post-scrape matching ensures only jobs in your target city appear (LinkedIn's own location filter is loose)
• Company name — substring match on company field
• Remote-first — keeps only remote/hybrid listings based on keyword detection
• Date window — last 24 hours or last 3 days

Example input

Quick search (5 results with full details)

{
  "keywords": ["Software Engineer"],
  "locations": ["Düsseldorf"],
  "maximumItems": 5,
  "scrapeDetails": true
}

Multi-keyword monitoring run

{
  "keywords": [
    "cyber security",
    "information security",
    "soc analyst",
    "security engineer"
  ],
  "locations": ["Germany", "Berlin", "Munich"],
  "dateFilter": "LAST_3_DAYS",
  "maximumItems": 200,
  "maxListingPages": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "groups": ["RESIDENTIAL"],
    "countryCode": "DE"
  }
}

Fast listing-only scan (no detail pages)

{
  "keywords": ["Data Analyst"],
  "locations": ["London"],
  "maximumItems": 100,
  "scrapeDetails": false,
  "dateFilter": "LAST_24_HOURS"
}

Performance tips

• Default settings (50 items, detail scraping ON) finish in ~2 minutes
• Turn off Scrape job details for faster runs when you only need titles and links
• Each listing page has ~25 results — set Listing page cap accordingly
• Residential proxies are used by default for stability
• The actor gracefully stops before the Apify timeout, so partial results are always saved

Date filter

dateFilter is intentionally capped to:

• LAST_24_HOURS — jobs posted in the last 24 hours
• LAST_3_DAYS — jobs posted in the last 3 days (default)

No option older than 3 days is supported.

Use cases

• Job market monitoring with n8n, Make, or Zapier
• Feed into Google Sheets or Airtable for tracking
• Telegram/Slack alerts for new postings
• Salary and hiring trend analysis