💼 LinkedIn Jobs Scraper ⚡ No Login Required

Overview

The LinkedIn Jobs Scraper is an Apify Actor that extracts comprehensive job data from LinkedIn Jobs at scale. Perfect for job market analysis, recruitment research, salary benchmarking, and competitive intelligence — with no LinkedIn login, cookies, or browser automation required.

✅ No LinkedIn login required | ✅ Advanced search filters | ✅ Automated pagination | ✅ Structured JSON output | ✅ High success rate

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Complete Job Data

• Job Information — Title, description, job type, experience level, remote options
• Company Details — Company name, size, industry, location
• Salary Information — Salary ranges and compensation details (when available)
• Location Data — Job location, remote/hybrid options, location radius
• Application Details — Application URLs, posting date, job status
• Requirements — Skills, qualifications, experience requirements
• Benefits — Company benefits and perks (when available)
• Metadata — Job ID, posting timestamp, extraction timestamp

Advanced Search Filters

• Location-based — Search by city, country, and radius
• Keyword Search — Job titles, skills, company names
• Experience Level — Internship to Executive positions
• Job Type — Full-time, Part-time, Contract, Temporary
• Work Arrangement — On-site, Remote, Hybrid
• Time Range — Past 24 hours to any time
• Company Filter — Target specific companies

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🧾 Input Configuration

The scraper uses a simple, intuitive input format for single job searches:

{
  "location": "New York",
  "keyword": "python developer",
  "country": "US",
  "time_range": "Past month",
  "job_type": "Full-time",
  "experience_level": "Mid-Senior level",
  "remote": "Remote",
  "max_jobs": 25
}

Input Parameters

Field	Required	Description	Example
location	✅	Job location	"New York", "London", "Berlin"
keyword	❌	Job title/keywords	"python developer", "marketing manager"
max_jobs	❌	Max jobs to collect (1-100)	25
country	❌	Country code (2 letters)	"US", "GB", "FR", "DE"
time_range	❌	Posting timeframe	"Past 24 hours", "Past week", "Past month", "Any time"
job_type	❌	Employment type	"Full-time", "Part-time", "Contract", "Temporary", "Volunteer"
experience_level	❌	Experience required	"Internship", "Entry level", "Associate", "Mid-Senior level", "Director", "Executive"
remote	❌	Work arrangement	"On-site", "Remote", "Hybrid"
company	❌	Company name	"Google", "Microsoft", "Apple"
selective_search	❌	Strict keyword matching	true, false
location_radius	❌	Search radius	"Exact location", "5 miles (8 km)", "25 miles (40 km)"

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📤 Output Format

Each job will return comprehensive structured data such as:

{
  "job_posting_id": "3472834729",
  "job_title": "Senior Python Developer",
  "company_name": "TechCorp Inc",
  "company_url": "https://www.linkedin.com/company/techcorp",
  "location": "San Francisco, CA",
  "remote_allowed": true,
  "job_type": "Full-time",
  "experience_level": "Mid-Senior level",
  "posted_date": "2024-01-15T10:30:00Z",
  "application_url": "https://www.linkedin.com/jobs/view/3472834729",
  "job_description": "We are seeking a Senior Python Developer to join our growing engineering team...",
  "requirements": [
    "5+ years of Python experience",
    "Experience with Django/Flask",
    "Knowledge of cloud platforms (AWS/GCP)",
    "Strong problem-solving skills"
  ],
  "benefits": [
    "Competitive salary",
    "Health insurance",
    "Remote work options",
    "Professional development budget"
  ],
  "salary_range": {
    "min": 120000,
    "max": 180000,
    "currency": "USD",
    "period": "annual"
  },
  "company_info": {
    "industry": "Technology",
    "company_size": "201-500 employees",
    "headquarters": "San Francisco, CA"
  },
  "applicants_count": 47,
  "timestamp": "2024-01-16T14:25:30.965Z"
}

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⚙️ Smart Pagination

When you request more than 5 jobs (max_jobs > 5), the scraper automatically handles pagination:

• Splits requests into multiple API calls (max 5 jobs per call)
• Prevents duplicates using job ID tracking
• Continues until target is reached or no more jobs available

Example: max_jobs: 15 results in 3 API calls collecting 5 jobs each.

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✅ Usage Examples

Basic Job Search

{
  "location": "Chicago",
  "keyword": "marketing manager",
  "max_jobs": 10
}

Advanced Filtered Search

{
  "location": "Remote",
  "keyword": "frontend developer",
  "time_range": "Past week",
  "job_type": "Contract",
  "remote": "Remote",
  "experience_level": "Mid-Senior level",
  "selective_search": true,
  "max_jobs": 30
}

Company-Specific Search

{
  "location": "Seattle",
  "company": "Amazon",
  "country": "US",
  "job_type": "Full-time",
  "location_radius": "25 miles (40 km)",
  "max_jobs": 50
}

International Search

{
  "location": "Berlin",
  "keyword": "data scientist",
  "country": "DE",
  "remote": "Hybrid",
  "experience_level": "Entry level",
  "max_jobs": 20
}

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📊 Output & Export

Dataset Storage

• All extracted job data is stored in your Apify dataset
• Each job becomes one dataset item
• Failed extractions are logged with error details

Export Formats

• JSON — Raw structured data for API integration
• CSV — Spreadsheet-compatible format for analysis
• Excel — Formatted spreadsheet for reporting

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💼 Common Use Cases

Recruitment & Talent Acquisition

• Source candidates by analyzing job requirements and qualifications
• Track competitor hiring patterns and salary benchmarks
• Identify in-demand skills and experience levels in specific markets

Market Research & Analysis

• Analyze job market trends by location, industry, and role
• Monitor salary ranges and compensation trends over time
• Research company hiring activity and growth patterns

Career Planning & Development

• Discover skill requirements for target positions
• Compare salaries across different companies and locations
• Track job availability and market demand in specific fields

Business Intelligence & Strategy

• Monitor competitor workforce expansion and hiring priorities
• Analyze industry talent demands and skill gaps
• Research market entry opportunities in different geographic regions

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🚀 Getting Started

Using the Apify Console

1. Set your search criteria — Enter location, keywords, and filters
2. Choose job limit — Set how many jobs to collect (1-100)
3. Run the scraper — Click "Start" and monitor progress
4. Download results — Export in JSON, CSV, or Excel format

Using the API

curl -X POST https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "location": "New York",
    "keyword": "data analyst",
    "country": "US",
    "experience_level": "Entry level",
    "max_jobs": 25
  }'

Command Line Testing

# Quick test
apify run -p --input-file=test-small.json

# Pagination test
apify run -p --input-file=test-pagination.json

# Standard test
apify run -p --input-file=test.json

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🎯 Key Features

✅ Simple Input — Just location and optional filters, no complex arrays ✅ Smart Pagination — Automatically handles large job requests ✅ Duplicate Prevention — Built-in job ID tracking prevents duplicates ✅ Rich Filters — All LinkedIn search options supported ✅ Structured Output — Clean, consistent JSON data format ✅ Error Handling — Robust retry mechanisms and detailed logging ✅ No Authentication — Works without LinkedIn login or cookies

Ready to start scraping LinkedIn jobs? Simply enter your search criteria and let the scraper handle the rest! 🎉