🎯 Pnet Job Scraper - Complete Job Data Extraction

Extract comprehensive job listings from Pnet.co.za with intelligent pagination and detailed information capture 🚀 Run on Apify • 📖 Documentation • 💡 Examples

--- ## 🌟 Why Choose Pnet Job Scraper? Pnet Job Scraper is your complete solution for automated job data extraction from South Africa's leading job portal. Whether you're building a job search platform, conducting market research, or gathering recruitment intelligence, this scraper delivers structured, comprehensive job data with enterprise-grade reliability. ### ✨ Key Benefits - 📊 Complete Data Coverage - Extract titles, companies, locations, salaries, descriptions, and metadata - 🔄 Intelligent Automation - Handles pagination, retries, and anti-bot measures automatically - ⚡ High Performance - Optimized for speed with smart rate limiting and session management - 🛡️ Enterprise Ready - Built-in proxy rotation and error handling for reliable operation - 📈 Scalable - Process thousands of jobs with configurable limits and filtering - 🎯 Flexible Search - Keyword, location, and category-based job discovery --- ## 🚀 Quick Start ### Basic Job Search json { "keyword": "software engineer", "location": "Johannesburg", "results_wanted": 100 } ### Advanced Configuration json { "keyword": "data scientist", "location": "Cape Town", "results_wanted": 500, "collectDetails": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } 🎯 Ready to scrape? Start your first run now! --- ## 📋 Features

### 🔍 Smart Data Extraction - Job Titles & Companies - Accurate extraction with fallback methods - Location Data - City, region, and area information - Salary Information - Range, type, and currency details - Job Descriptions - Full HTML and plain text versions - Posting Dates - Relative and absolute timestamps - Job Categories - Industry and role classifications

### ⚙️ Advanced Automation - Intelligent Pagination - Automatic page navigation and discovery - Session Management - Smart session rotation for reliability - Rate Limiting - Built-in delays to respect website limits - Error Recovery - Automatic retries with exponential backoff - Anti-Bot Evasion - Multiple techniques to avoid detection - Proxy Integration - Residential proxy support for scale

--- ## 📥 Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | keyword | string | No | "admin" | Primary search term (e.g., "software engineer", "marketing manager") | | location | string | No | "" | Geographic filter (e.g., "Johannesburg", "Cape Town", "Durban") | | category | string | No | "" | Job category or industry filter | | startUrl | string | No | - | Custom Pnet URL to begin scraping | | url | string | No | - | Alternative custom URL parameter | | results_wanted | integer | No | 100 | Target number of jobs to collect (1-10000) | | max_pages | integer | No | 10 | Maximum search pages to process | | collectDetails | boolean | No | true | Fetch full job descriptions from detail pages | | proxyConfiguration | object | No | - | Proxy settings for enhanced reliability | ### 🔧 Configuration Examples #### Entry-Level Jobs Search json { "keyword": "graduate", "location": "Johannesburg", "results_wanted": 200, "max_pages": 15 } #### Senior Management Positions json { "keyword": "director", "category": "management", "results_wanted": 50, "collectDetails": true } #### Custom URL Scraping json { "startUrl": "https://www.pnet.co.za/jobs/it", "results_wanted": 300, "max_pages": 20 } #### Large-Scale Data Collection json { "keyword": "engineer", "results_wanted": 1000, "max_pages": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "ZA" } } --- ## 📤 Output Data Schema The scraper produces structured JSON records optimized for data analysis and integration. ### Core Job Fields | Field | Type | Description | Example | |-------|------|-------------|---------| | title | string | Job position title | "Senior Software Engineer" | | company | string | Hiring organization | "TechCorp Solutions Ltd" | | location | string | Job location details | "Johannesburg, Gauteng" | | salary | string | Compensation information | "R500,000 - R700,000 per annum" | | date_posted | string | Posting timestamp | "2 days ago" | | job_url | string | Direct job link | "https://www.pnet.co.za/job/..." | ### Extended Information | Field | Type | Description | Example | |-------|------|-------------|---------| | job_type | string | Employment type | "Full-time" | | job_category | string | Industry category | "Information Technology" | | description_html | string | Full HTML description | "<div><p>We are seeking..." | | description_text | string | Plain text description | "We are seeking a talented..." | ### 📊 Sample Output Record json { "title": "Senior Full Stack Developer", "company": "Digital Innovations Ltd", "location": "Cape Town, Western Cape", "salary": "R450,000 - R650,000 per annum", "date_posted": "1 day ago", "job_type": "Full-time", "job_category": "Information Technology", "description_html": "<div><p>Join our dynamic team as a Senior Full Stack Developer...</p></div>", "description_text": "Join our dynamic team as a Senior Full Stack Developer...", "job_url": "https://www.pnet.co.za/job/senior-full-stack-developer/digital-innovations-job12345" } --- ## 🎯 Usage Examples ### Basic API Integration #### REST API Access bash # Get results as JSON curl "https://api.apify.com/v2/acts/YOUR-ACTOR-ID/runs/YOUR-RUN-ID/dataset/items?format=json" # Export as CSV curl "https://api.apify.com/v2/acts/YOUR-ACTOR-ID/runs/YOUR-RUN-ID/dataset/items?format=csv" #### Python Integration python import requests # Fetch job data response = requests.get( 'https://api.apify.com/v2/acts/YOUR-ACTOR-ID/runs/YOUR-RUN-ID/dataset/items?format=json', params={'token': 'YOUR-API-TOKEN'} ) jobs = response.json() # Process and analyze for job in jobs: print(f"📋 {job['title']} at {job['company']}") print(f"📍 Location: {job['location']}") print(f"💰 Salary: {job['salary']}") print("---") #### JavaScript/Node.js javascript const Apify = require('apify'); async function processJobs() { const run = await Apify.call('YOUR-ACTOR-ID', { keyword: 'javascript developer', location: 'Johannesburg', results_wanted: 50 }); const dataset = await Apify.openDataset(run.defaultDatasetId); const jobs = await dataset.getData().then(data => data.items); jobs.forEach(job => { console.log(`${job.title} - ${job.company} (${job.location})`); }); } processJobs(); --- ## ⚙️ Advanced Configuration ### Proxy Settings for Scale json { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "ZA" } } ### Performance Optimization | Setting | Recommended | Description | |---------|-------------|-------------| | results_wanted | 100-500 | Balance data needs with processing time | | max_pages | 10-25 | Prevent excessive crawling | | collectDetails | true | Get complete job information | ### Error Handling & Reliability - Automatic Retries - Failed requests are retried with smart backoff - Session Rotation - Fresh sessions prevent blocking - Rate Limiting - Respectful delays between requests - Circuit Breaker - Automatic failure detection and recovery --- ## 💼 Use Cases & Applications ### 🎯 Recruitment & HR - Talent Pipeline Building - Identify qualified candidates across South African regions - Market Intelligence - Track job market trends and salary ranges in South Africa - Competitor Analysis - Monitor hiring patterns of industry peers ### 📊 Market Research - Industry Analysis - Study job market demand by sector and location in South Africa - Salary Benchmarking - Compare compensation across roles and companies - Geographic Insights - Understand regional job market dynamics in South Africa ### 🤖 Automation & Integration - Job Board Aggregation - Combine data from multiple South African sources - Alert Systems - Monitor new job postings in specific areas - Data Enrichment - Enhance CRM and applicant tracking systems ### 📈 Business Intelligence - Workforce Planning - Forecast hiring needs based on South African market data - Economic Indicators - Track employment trends and opportunities in South Africa - Career Development - Identify in-demand skills and roles in South Africa --- ## 🔒 Compliance & Best Practices ### Responsible Scraping - Rate Limiting - Built-in delays respect website performance - Session Management - Mimics human browsing patterns - Error Recovery - Graceful handling of temporary issues ### Data Usage Guidelines - Terms Compliance - Adhere to Pnet.co.za terms of service - Privacy Respect - Handle personal data appropriately - Legal Compliance - Ensure usage complies with applicable laws ### Performance Considerations - Resource Management - Efficient memory and network usage - Scalability - Designed for high-volume data collection - Monitoring - Comprehensive logging and error tracking --- ## 🆘 Support & Resources ### Getting Help - 📧 Support - Contact via Apify platform for technical assistance - 🐛 Bug Reports - Report issues through the Apify console - 💡 Feature Requests - Suggest improvements and new capabilities ### Documentation - 📖 API Reference - Complete parameter and output documentation - 🎯 Examples - Sample configurations for common use cases - 🔧 Configuration Guide - Advanced setup and optimization tips ### Updates & Maintenance - 🔄 Regular Updates - Continuous improvements and compatibility updates - 📢 Changelog - Track new features and bug fixes - 🛡️ Reliability - Enterprise-grade stability and performance ---

## 🚀 Ready to Extract Job Data? Start Scraping Jobs Now Extract • Analyze • Integrate Built for reliability, optimized for performance --- 🏷️ Keywords: pnet job scraper, south africa job scraper, job scraping, recruitment data, job listings, employment data, job market analysis, automated scraping, HR data, job search automation, career data, workforce intelligence, pnet.co.za scraper, south african jobs