Linkedin Job Scraper - Safe & Affordable avatar
Linkedin Job Scraper - Safe & Affordable

Pricing

$1.00 / 1,000 results

Go to Store
Linkedin Job Scraper - Safe & Affordable

Linkedin Job Scraper - Safe & Affordable

Developed by

John Patrick Vicente

John Patrick Vicente

Maintained by Community

A powerful LinkedIn job scraper built with Playwright and designed to run on the Apify platform. This actor can scrape job listings from LinkedIn based on various search keywords and search criterias and filters. Fast and cheap!

0.0 (0)

Pricing

$1.00 / 1,000 results

0

1

1

Last modified

a day ago

🔍 LinkedIn Job Scraper - Professional Job Data Extraction

Extract comprehensive job listings from LinkedIn with enterprise-grade reliability and seamless automation integration.

Apify MCP n8n AI Agents

🚀 Perfect for Automation & AI Workflows

Transform your recruitment, market research, and competitive intelligence with our professional LinkedIn job scraper. Built for seamless integration with modern automation platforms and AI agents.

🎯 Key Use Cases

  • Recruitment Automation - Automate job market monitoring and candidate sourcing
  • Competitive Intelligence - Track competitor hiring patterns and salary trends
  • Market Research - Analyze job market trends and industry demands
  • AI Agent Integration - Power your AI assistants with real-time job data
  • Workflow Automation - Connect with n8n, Zapier, and other automation platforms

🔗 Seamless Integration Options

🤖 MCP (Model Context Protocol) Integration

Connect directly to AI agents and LLMs using the MCP protocol:

// MCP Server Configuration
{
"mcpServers": {
"linkedin-scraper": {
"command": "apify",
"args": ["call", "YOUR_USERNAME~linkedin-job-scraper"],
"env": {
"APIFY_TOKEN": "your_apify_token"
}
}
}
}

Benefits:

  • Direct AI agent access to LinkedIn job data
  • Real-time job market insights for AI assistants
  • Structured data perfect for LLM consumption
  • No additional API development required

⚡ n8n Workflow Integration

Integrate job scraping into your n8n automation workflows:

{
"node": "Apify",
"parameters": {
"resource": "actor",
"operation": "callActor",
"actorId": "YOUR_USERNAME~linkedin-job-scraper",
"input": {
"keywords": "software engineer",
"location": "San Francisco, CA",
"maxJobs": 50
}
}
}

Workflow Examples:

  • Recruitment Pipeline: Auto-scrape → Filter candidates → Send to ATS
  • Market Analysis: Daily job monitoring → Trend analysis → Report generation
  • Competitor Tracking: Monitor competitor jobs → Alert on new positions
  • Salary Research: Extract salary data → Update compensation databases

🧠 AI Agent Integration

Perfect for AI assistants and autonomous agents:

# Example AI Agent Integration
import requests
def get_linkedin_jobs(keywords, location):
response = requests.post(
"https://api.apify.com/v2/acts/YOUR_USERNAME~linkedin-job-scraper/runs",
headers={"Authorization": f"Bearer {APIFY_TOKEN}"},
json={
"keywords": keywords,
"location": location,
"maxJobs": 25
}
)
return response.json()

📊 Rich Data Extraction

Extract comprehensive job information including:

FieldDescriptionExample
Job DetailsTitle, description, requirements, benefits"Senior Software Engineer"
Company InfoName, URL, industry, size"Tech Corp Inc."
Location & TypeLocation, remote options, contract type"San Francisco, CA"
CompensationSalary ranges, benefits packages"$120K - $180K"
TimingPosted date, application count"2 hours ago"
ApplicationApply URL, application type"Easy Apply"

⚙️ Flexible Configuration

Search Parameters

{
"keywords": "software engineer, developer",
"location": "San Francisco, CA",
"experienceLevels": ["entry", "associate", "mid-senior"],
"jobTypes": ["full-time", "part-time"],
"remoteOptions": ["remote", "hybrid", "on-site"],
"maxJobs": 100,
"maxPages": 10
}

URL-Based Scraping

{
"url": "https://www.linkedin.com/jobs/search?keywords=react&location=New%20York",
"maxJobs": 50
}

Advanced Options

  • Proxy Support: Built-in residential proxy rotation
  • Rate Limiting: Configurable delays to avoid detection
  • Production Optimized: Always runs in headless mode for maximum reliability
  • Custom Timeouts: Adjustable for different network conditions

🎯 Why Choose Our LinkedIn Scraper?

✅ Enterprise Features

  • Reliable Extraction: 99%+ success rate with advanced error handling
  • Scalable Architecture: Handle thousands of jobs per run
  • Professional Support: Enterprise-grade documentation and support
  • Compliance Ready: Built with respect for LinkedIn's terms of service

✅ Automation Ready

  • REST API: Simple HTTP endpoints for easy integration
  • Webhook Support: Real-time notifications when scraping completes
  • Structured Output: JSON format perfect for automation workflows
  • Rate Limiting: Built-in protection against API abuse

✅ AI & MCP Optimized

  • Structured Data: Clean, consistent format for AI consumption
  • Rich Metadata: Comprehensive job information for AI analysis
  • Real-time Access: Live data for AI agents and assistants
  • MCP Protocol: Native support for Model Context Protocol

🚀 Quick Start

1. Get Your Apify Token

  • Sign up at apify.com
  • Go to Account Settings → Integrations → API tokens
  • Create a new token with appropriate permissions

2. Configure Your Integration

For MCP:

{
"mcpServers": {
"linkedin-scraper": {
"command": "apify",
"args": ["call", "YOUR_USERNAME~linkedin-job-scraper"]
}
}
}

For n8n:

  • Add Apify node to your workflow
  • Configure with your actor ID
  • Set up input parameters
  • Connect to your automation logic

For AI Agents:

# Simple Python integration
import requests
def scrape_jobs(keywords, location):
return requests.post(
"https://api.apify.com/v2/acts/YOUR_USERNAME~linkedin-job-scraper/runs",
json={"keywords": keywords, "location": location}
).json()

3. Start Scraping

  • Configure your search parameters
  • Run the actor
  • Access results via API or download from Apify console

📈 Use Cases & Examples

Recruitment Automation

// Automated candidate sourcing
const jobs = await scrapeLinkedIn({
keywords: "react developer",
location: "New York, NY",
experienceLevels: ["mid-senior", "senior"]
});
// Filter and process candidates
const qualifiedCandidates = jobs.filter(job =>
job.experienceLevel === "senior" &&
job.location.includes("New York")
);

Market Intelligence

# Competitive analysis
def analyze_competitor_hiring(company_name):
jobs = scrape_linkedin({
"keywords": company_name,
"maxJobs": 50
})
return {
"total_positions": len(jobs),
"locations": list(set(job.location for job in jobs)),
"experience_levels": analyze_experience_distribution(jobs)
}

AI Agent Integration

// AI assistant job search
async function aiJobSearch(userQuery) {
const { keywords, location } = parseUserQuery(userQuery);
const jobs = await callLinkedInScraper({
keywords,
location,
maxJobs: 25
});
return formatJobsForAI(jobs);
}

🔧 Technical Specifications

  • Platform: Apify Cloud
  • Technology: Playwright (Chromium)
  • Output Format: JSON
  • Rate Limits: Configurable
  • Proxy Support: Built-in residential proxies
  • API: RESTful endpoints
  • Authentication: Apify API tokens

📞 Support & Documentation

This tool is designed for legitimate business purposes and complies with:

  • LinkedIn's Terms of Service
  • Data protection regulations
  • Ethical scraping practices

Use responsibly and respect rate limits.


Ready to automate your job market intelligence? 🚀

Get Started | View Documentation | Get Support