Pricing

Pay per usage

Linkedin Jobs Scraper

Extract structured job listings from LinkedIn at scale — titles, salaries, tech stacks, seniority levels, company data, and full descriptions. AI-parsed fields, proxy-ready, and built for production pipelines.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Sarfraz Mohammed

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

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:

Field	Description
`jobId`	LinkedIn job ID
`jobUrl`	Direct link to the job posting
`title`	Job title
`company`	Company name
`location`	Job location
`postedAt`	ISO date when posted
`postedText`	Human-readable "X days ago"
`salary`	Salary range (if displayed)
`isPromoted`	Whether it's a sponsored listing
`description`	Full job description (if `scrapeJobDetails: true`)
`seniorityLevel`	Seniority level from job criteria
`employmentType`	Employment type from job criteria
`jobFunction`	Job function category
`industries`	Industry categories
`applicantCount`	Number of applicants (if shown)
`skills`	Required skills listed
`scrapedAt`	ISO timestamp of when scraped
`searchKeywords`	The keywords used in the search
`searchLocation`	The location used in the search

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
npm install

# Run locally (uses Apify local storage)
npx apify run

# Or with direct node
APIFY_IS_AT_HOME=0 node 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

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