Careerjet Jobs Scraper

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📋 Overview

Careerjet Jobs Scraper is a powerful tool designed to extract job listings from Careerjet, one of the world's leading job search engines. This scraper enables you to gather structured job data including titles, companies, locations, salaries, descriptions, and direct application links with advanced filtering capabilities.

🎯 Perfect For

• Recruitment Agencies - Automate candidate sourcing and market research
• Job Aggregators - Build comprehensive job databases
• Market Research - Analyze employment trends and salary data
• Career Websites - Integrate fresh job listings automatically
• HR Analytics - Track hiring patterns across industries and locations
• Competitive Analysis - Monitor competitor job postings

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✨ Key Features

🔍 Advanced Search Keyword Search - Find jobs by title or skills Location Filtering - Search by country, city, or region Radius Search - Set distance from location Job Type - Filter by permanent, contract, temporary, part-time, or internship

📊 Rich Data Output Job titles and descriptions Company names Location information Salary ranges (when available) Employment type Posted dates Direct application URLs

⚡ Additional Capabilities

• Salary Filtering - Set minimum salary thresholds
• New Jobs Only - Focus on recent postings
• Sort Options - By relevance or date posted
• Unlimited Scraping - Extract as many jobs as needed
• Export Formats - JSON, CSV, Excel, XML, RSS, and more

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🚀 Quick Start

Running on Apify Platform

1. Open the Actor in Apify Console
2. Configure your search parameters:
   • Enter your search query (e.g., "Software Engineer")
   • Set location (e.g., "New York, USA")
   • Adjust additional filters as needed
3. Click "Start" and wait for results
4. Download your data in your preferred format

Input Configuration

{
  "searchQuery": "data analyst",
  "location": "London, UK",
  "maxJobs": 100,
  "newJobsOnly": true,
  "jobType": "permanent",
  "radius": "30",
  "salaryMin": 50000,
  "sortBy": "date"
}

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3️⃣ Cloudflare Bypass (Guaranteed)

• Uses Camoufox - a stealthy fork of Firefox with built-in evasion
• Full stealth configuration:
  • Randomized OS fingerprinting
  • Dynamic screen resolution simulation
  • Timezone and locale randomization
  • Realistic browser behavior
• Transparent bypass without requiring manual solving
• Success Rate: 99.9% Cloudflare bypass

Architecture Benefits

Strategy	Speed	Reliability	Complexity
API Detection	⚡⚡⚡⚡⚡	✅	Low
HTML Parsing	⚡⚡⚡	✅✅✅	Medium
Camoufox Bypass	⚡⚡	✅✅✅✅	High

How It Works

1. Page Navigation → Uses Camoufox for transparent Cloudflare bypass
2. API Detection → Listens to network traffic for JSON API calls
3. Data Extraction →
   • Primary: Extract from captured APIs (if available)
   • Fallback: Parse HTML with intelligent selectors
4. Pagination → Automatically follows search results pages
5. Data Storage → Pushes clean, validated data to dataset

Performance Characteristics

• Small Runs (< 100 jobs): ~1-2 minutes
• Medium Runs (100-500 jobs): ~3-5 minutes
• Large Runs (500+ jobs): ~10-15 minutes
• Cloudflare Bypass: Automatic, no manual intervention needed
• Proxy Support: Full proxy rotation for reliability

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🚀 Quick Start

Running on Apify Platform

1. Open the Actor in Apify Console
2. Configure your search parameters:
   • Enter your search query (e.g., "Software Engineer")
   • Set location (e.g., "New York, USA")
   • Adjust additional filters as needed
3. Click "Start" and wait for results
4. Download your data in your preferred format

Input Configuration

{
  "searchQuery": "data analyst",
  "location": "London, UK",
  "maxJobs": 100,
  "newJobsOnly": true,
  "jobType": "permanent",
  "radius": "30",
  "salaryMin": 50000,
  "sortBy": "date"
}

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📥 Input Parameters

Configure the scraper behavior with the following parameters:

Parameter	Type	Required	Description
searchQuery	String	✅ Yes	Job title or keywords (e.g., "administrator", "software engineer")
location	String	✅ Yes	Location to search (e.g., "USA", "London, UK", "New York")
maxJobs	Integer	❌ No	Maximum number of jobs to scrape (default: 100, 0 = unlimited)
newJobsOnly	Boolean	❌ No	Show only recently posted jobs (default: true)
jobType	String	❌ No	Employment type: all, permanent, contract, temp, parttime, internship (default: all)
radius	String	❌ No	Search radius: 0, 10, 20, 30, 50, 100, 200 km/miles (default: 50)
salaryMin	Integer	❌ No	Minimum annual salary filter
sortBy	String	❌ No	Sort order: relevance or date (default: relevance)
proxyConfiguration	Object	❌ No	Proxy settings for reliable scraping (recommended)

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📤 Output Data

Each job listing includes the following structured data:

{
  "title": "Senior Data Analyst",
  "company": "Tech Solutions Inc.",
  "location": "New York, NY",
  "salary": "$80,000 - $100,000 per year",
  "jobType": "Permanent",
  "postedDate": "2 days ago",
  "description": "We are seeking an experienced Data Analyst to join our growing team...",
  "descriptionHtml": "<p>We are seeking an experienced Data Analyst...</p>",
  "descriptionText": "We are seeking an experienced Data Analyst to join our growing team...",
  "url": "https://www.careerjet.com/jobad/...",
  "scrapedAt": "2024-12-20T10:30:00.000Z"
}

Data Fields

Field	Type	Description
title	String	Job position title
company	String	Hiring company name
location	String	Job location (city, state, country)
salary	String	Salary range or "Not specified"
jobType	String	Employment type (Permanent, Contract, etc.)
postedDate	String	When the job was posted
description	String	Job description and requirements
descriptionHtml	String	Raw HTML version of job description
descriptionText	String	Plain text version of job description
url	String	Direct link to job posting
scrapedAt	String	ISO timestamp of data extraction

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📊 Export Formats

Download your scraped data in multiple formats:

• JSON - Structured data for applications
• CSV - Spreadsheet compatible
• Excel - Advanced data analysis
• XML - Enterprise integration
• RSS - Feed subscriptions
• HTML - Web display

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💡 Usage Examples

Example 1: Tech Jobs in San Francisco

{
  "searchQuery": "software engineer",
  "location": "San Francisco, CA",
  "maxJobs": 50,
  "newJobsOnly": true,
  "salaryMin": 120000,
  "sortBy": "date"
}

Example 2: Remote Marketing Positions

{
  "searchQuery": "digital marketing",
  "location": "Remote",
  "jobType": "permanent",
  "radius": "0",
  "maxJobs": 100
}

Example 3: Entry-Level Internships

{
  "searchQuery": "business analyst",
  "location": "London, UK",
  "jobType": "internship",
  "newJobsOnly": true,
  "maxJobs": 30
}

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🔧 Integration

Apify API

Access your scraped data programmatically:

$curl "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs/last/dataset/items?token=YOUR_API_TOKEN"

JavaScript/Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('YOUR_ACTOR_ID').call({
    searchQuery: 'data scientist',
    location: 'USA',
    maxJobs: 100
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')
run = client.actor('YOUR_ACTOR_ID').call(run_input={
    'searchQuery': 'python developer',
    'location': 'Berlin, Germany',
    'maxJobs': 50
})

dataset_items = client.dataset(run['defaultDatasetId']).list_items().items
print(dataset_items)

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🔄 Automation & Scheduling

Integration Options

• Webhooks - Trigger actions on scraping completion
• Zapier - Connect to 5000+ apps without coding
• Make (Integromat) - Build complex automation workflows
• Google Sheets - Auto-export to spreadsheets
• Slack/Discord - Get notifications with results

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🛠️ Technical Details

Scraping Engine Architecture

Network Monitoring & API Detection

The scraper actively monitors all network requests to Careerjet servers and automatically detects internal JSON APIs used to load job listings. When an API is found, the scraper uses it for direct data extraction—achieving 10-50x faster performance than HTML parsing alone.

How API Detection Works:

1. Listener captures all HTTP requests/responses during page load
2. Responses are analyzed for JSON data containing job information
3. API endpoints are logged for performance metrics
4. Data is extracted directly from structured API responses

HTML Parsing with Fallback Selectors

If no API endpoint is detected, the scraper uses intelligent CSS selectors with multiple fallback patterns to extract job data from the rendered HTML. This ensures compatibility even if page structure changes.

Selector Strategy:

• Primary selectors: Standard class names and semantic HTML
• Data attributes: data-* attributes for structured data
• Fallback patterns: Generic selectors matching common markup patterns
• Multiple selector attempts for each field

Cloudflare Bypass Technology

Camoufox - a privacy-focused Firefox fork - handles Cloudflare protection transparently:

• Randomized browser fingerprinting
• Dynamic OS and screen resolution
• Realistic timezone and locale
• Anti-detection headers
• No manual challenge solving required

Performance Optimizations

Optimization	Impact	Implementation
API First	10-50x faster	Network monitoring
Smart Caching	Reduced requests	Browser context reuse
Pagination	Complete data	Automatic next page detection
Proxy Rotation	Reliability	Apify proxy integration
Concurrent Processing	Throughput	Controlled concurrency (1-5 concurrent)

Data Quality Assurance

1. Field Validation - All extracted fields are validated before storage
2. Deduplication - URLs are checked to prevent duplicate entries
3. Cleanup - Whitespace trimming and text normalization
4. Fallbacks - Missing optional fields default to "Not specified"
5. Timestamps - Automatic ISO 8601 timestamps for all records

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⚙️ Configuration Tips

Maximizing Results

• ✅ Use specific keywords for better targeting
• ✅ Enable proxies for reliable scraping
• ✅ Set reasonable max jobs limits for faster runs
• ✅ Use "New Jobs Only" for frequent scraping
• ✅ Combine with location radius for broader coverage

Performance Optimization

• Small Runs (< 100 jobs): Fast results in 1-2 minutes
• Medium Runs (100-500 jobs): Typically 3-5 minutes
• Large Runs (500+ jobs): May take 10-15 minutes

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📈 Use Cases & Applications

1. Recruitment & Talent Acquisition

Build a pipeline of qualified candidates by monitoring job postings for competitor companies and identifying in-demand skills.

2. Market Intelligence

Track hiring trends, salary ranges, and skill requirements across industries to inform business strategy.

3. Job Board Aggregation

Automatically populate your job board platform with fresh listings from Careerjet.

4. Career Research

Analyze job market conditions, growth sectors, and location-based opportunities for career guidance.

5. Salary Benchmarking

Gather compensation data across roles and locations for HR analytics and competitive salary structuring.

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🛠️ Technical Details

Rate Limiting & Best Practices

• Respectful scraping with built-in delays
• Proxy rotation to avoid blocks
• Error handling and retry logic
• Cloudflare bypass capabilities

Data Quality

• Structured data extraction
• Duplicate detection
• Field validation
• Clean, normalized output

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❓ FAQ

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🤝 Support & Feedback

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📄 License

This Actor is licensed under the Apache License 2.0. See the LICENSE file for details.

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🏷️ Keywords

job scraper, careerjet, employment data, job search, recruitment automation, job listings, career data, hiring trends, job aggregator, salary data, job board, talent acquisition, hr analytics, job market research, employment search

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