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LinkedIn Jobs Scraper — Apify Actor

Scrapes job listings from LinkedIn's public job board. No login required.

Features

• 🔍 Search by keywords and location
• 🗓️ Filter by date posted (24h / week / month)
• 💼 Filter by job type (full-time, part-time, contract, internship)
• 📈 Filter by experience level (entry, mid-senior, director, etc.)
• 🏠 Filter by workplace type (on-site, remote, hybrid)
• 📄 Optional full job description scraping (visits each job page)
• 🔄 Pagination — scrapes up to 500 jobs per run
• 🌐 Proxy support via Apify Proxy

Output Fields

Each job record contains:

Input Example

{
"searchKeywords":"Software Engineer",
"location":"Toronto, ON",
"maxJobs":100,
"datePosted":"past_week",
"jobType":"full_time",
"experienceLevel":"mid_senior",
"workplaceType":"remote",
"scrapeJobDetails":true,
"proxy":{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"]
}
}

Usage Notes

• Proxy: Residential proxies are strongly recommended. LinkedIn aggressively blocks datacenter IPs.
• Rate limiting: The actor uses randomised delays between requests to mimic human behavior.
• Login not required: Only public job listings are scraped (no personal data).
• Concurrency: Set to 1 intentionally — LinkedIn detects parallel requests.

Local Development

# Install dependencies
npminstall
# Run locally (uses Apify local storage)
npx apify run
# Or with direct node
APIFY_IS_AT_HOME=0node src/main.js

Deployment to Apify

# Login to Apify CLI
npx apify login
# Deploy
npx apify push

Extending This Actor

This actor is designed as a starting point. Common extensions:

• Company details: Cross-reference the company LinkedIn page
• Deduplication: Use jobId as the key in a named dataset
• Notifications: Pipe results to Slack/email via Apify integrations
• Scheduling: Set up a daily schedule in Apify console
• Storage: Export to Google Sheets or your database via webhooks