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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:

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