PNet Jobs Search Scraper: Extract South African Job Listings at Scale

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What Is PNet.co.za?

PNet.co.za is South Africa's largest online job board, connecting millions of job seekers with employers across all industries and experience levels. It hosts thousands of active listings ranging from entry-level positions to executive roles. Manually collecting and organizing this data is tedious and error-prone — the PNet Jobs Search Scraper automates the extraction of search results, delivering clean, structured job data for analysis and integration.

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Overview

The PNet Jobs Search Scraper extracts job listings from PNet.co.za search result pages, converting search queries into machine-readable datasets. It is designed for:

• Recruiters monitoring job market trends and competitor activity in South Africa
• HR professionals benchmarking salaries and skill requirements across sectors
• Job aggregators feeding PNet listings into multi-platform job boards
• Labor researchers analyzing employment patterns and hiring demand
• Career coaches tracking industry-specific opportunities

Key strengths include support for targeted search URLs (by industry, location, keyword), failure tolerance via ignore_url_failures, and configurable scraping volume per URL.

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Input Format

The scraper accepts a JSON configuration object to control what and how much to scrape:

{
  "urls": [
    "https://www.pnet.co.za/jobs/design?searchOrigin=Homepage_top-search"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 20
}

Field	Description	Example
urls	Array of PNet search result page URLs to scrape	https://www.pnet.co.za/jobs/design, https://www.pnet.co.za/jobs/marketing?location=johannesburg
ignore_url_failures	Boolean flag: if true, scraper continues if a URL fails; if false, entire run stops	true or false
max_items_per_url	Maximum number of job listings extracted per URL (1–100+)	20, 50, 100

Tips:

• Use filtered search URLs (e.g., https://www.pnet.co.za/jobs/[category]?location=[city]) to target specific job types or regions
• Set max_items_per_url based on your needs: 20 for quick samples, 50–100 for comprehensive datasets
• Enable ignore_url_failures: true for bulk runs to avoid interruptions if a search page is temporarily unavailable

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Output Format

Sample output

{
  "id": 4232678,
  "title": "VJ 18979 - Design Draughtsman (Mining Equipment) - North West",
  "labels": [],
  "url": "/jobs--VJ-18979-Design-Draughtsman-Mining-Equipment-North-West-North-West-Professional-Career-Services-Gauteng--4232678-inline.html?rltr=1_1_25_seorl_m_0_0_0_0_0_0",
  "company_id": 12590,
  "company_name": "Professional Career Services - Gauteng",
  "company_url": "https://www.pnet.co.za/cmp/en/professional-career-services-gauteng-12590/jobs",
  "company_logo_url": "https://www.pnet.co.za/upload_za/logo/P/logoProfessional-Career-Services-Gauteng-12590ZEN.gif",
  "date_posted": "2026-07-14T13:07:19+02:00",
  "location": "North West",
  "is_anonymous": false,
  "salary": "R35,000 – R40,000 p/m",
  "post_code": null,
  "partnership": {
    "is_partnership_job": false,
    "show_partnership_label": false,
    "is_backfilled": false,
    "source_site_friendly_name": "",
    "is_cross_posted": false
  },
  "unified_salary": null,
  "work_from_home": "0",
  "meta_data": {
    "position_on_page": 1,
    "position_absolute": 1
  },
  "harmonised_id": "7E598A48-3557-4CE8-9D78-D13D83CA0EF9",
  "job_posting_sequence": null,
  "period_posted_date": null,
  "publish_from_date": null,
  "publish_to_date": null,
  "has_future_posting": false,
  "fingerprint_count": null,
  "section": "main",
  "top_labels": [],
  "skills": [],
  "text_snippet": "Our client is a specialist <strong>design</strong> company for the mining sector * Detailed <strong>design</strong> and draughting of mineral processing plants and mining equipment, including plant layouts, process flow integration, conveyors, chutes and screening equipment * Minimum 5+ years' experience in <strong>design</strong> draughting * Strong plant layout <strong>design</strong> experience * Experience <strong>designing</strong> conveyors, chutes, screens, mining equipment",
  "cv_to_job_score": null,
  "is_highlighted": false,
  "is_sponsored": false,
  "travel_time": null,
  "unified_travel_time": null,
  "is_top_job": false,
  "is_traffic_from_partner": false,
  "from_url": "https://www.pnet.co.za/jobs/design?searchOrigin=Homepage_top-search"
}

Each scraped job listing returns 30+ structured fields:

Core Identification

Field	Meaning
id	Unique job listing identifier within PNet
title	Job title as displayed on the search result
url	Direct link to the full job posting
labels	Category tags assigned to the listing (e.g., "Full Time", "Permanent")
top_labels	High-priority category labels highlighting key job attributes

Company Information

Field	Meaning
company_id	Unique identifier for the employer
company_name	Name of the hiring company
company_url	Company's profile or website URL on PNet
company_logo_url	URL to the company's logo image
partnership	Whether the company is a PNet partner or premium advertiser
is_traffic_from_partner	Boolean flag: true if job traffic originated from a partner source

Location & Logistics

Field	Meaning
location	Primary job location (city, province, or region)
post_code	Postal code or zip code of the work location
work_from_home	Boolean: true if remote/WFH is available
travel_time	Estimated commute time from user location (if applicable)
unified_travel_time	Standardized travel time value for filtering

Compensation & Timeline

Field	Meaning
salary	Salary or salary range as displayed (raw format)
unified_salary	Standardized salary value for easy filtering and comparison
date_posted	Date the listing was published on PNet
period_posted_date	Generalized posting date (e.g., "1 week ago")
publish_from_date	Date when the job listing becomes visible
publish_to_date	Closing date for applications
has_future_posting	Boolean: true if job is scheduled to post in the future

Job Attributes & Flags

Field	Meaning
is_anonymous	Boolean: true if company details are hidden
is_highlighted	Boolean: true if listing has paid highlighting/premium visibility
is_sponsored	Boolean: true if job appears as a sponsored/promoted result
is_top_job	Boolean: true if job is featured in top positions
cv_to_job_score	Relevance score comparing user CV to job requirements (0–100)

Candidate & Content

Field	Meaning
skills	Array of required or preferred skills for the role
text_snippet	Brief excerpt from the job description
section	Job category section (e.g., "IT", "Sales", "Engineering")
fingerprint_count	Number of times this job has been viewed/interacted with

Technical & Metadata

Field	Meaning
meta_data	Additional structured metadata about the listing
harmonised_id	Standardized identifier used across aggregator platforms
job_posting_sequence	Internal sequence number for the job posting

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How to Use

1. Identify search URLs — Navigate to PNet.co.za and perform a job search. Copy the URL from the search results page (e.g., https://www.pnet.co.za/jobs/design). You can filter by category, location, keyword, or any combination.

2. Build your configuration — Add one or more search URLs to the urls array. Adjust max_items_per_url based on your data volume needs:

   • 20–30: Quick samples or testing
   • 50–100: Comprehensive datasets
   • 100+: Full market analysis

3. Set failure handling — Keep ignore_url_failures: true to ensure the scraper continues even if one URL times out or changes.

4. Run the scraper — Initiate the actor and monitor progress in the logs.

5. Export and analyze — Download results as JSON, CSV, or Excel for use in spreadsheets, databases, or BI tools.

Common best practices:

• Use specific search URLs (e.g., by job title or location) to gather targeted datasets
• For salary analysis, rely on the unified_salary field for consistent comparisons
• Filter listings using is_top_job, is_highlighted, or is_sponsored to segment premium postings
• Combine skills with text_snippet for quick content review without opening each listing

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Use Cases & Business Value

• Recruitment analytics: Track hiring trends by industry, location, and salary band in South Africa
• Job aggregation: Feed PNet listings into multi-site job boards or specialized portals
• Salary benchmarking: Compare compensation across roles, companies, and regions using unified salary data
• Market research: Analyze skill demand, in-demand roles, and competitor hiring activity
• Career insights: Help job seekers understand market competitiveness and skill gaps
• HR intelligence: Monitor hiring velocity and talent competition for your industry

By automating data collection, the scraper eliminates manual work and reveals patterns that guide strategic hiring, recruitment planning, and compensation strategy.

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Conclusion

The PNet Jobs Search Scraper is a powerful tool for anyone who needs structured South African job market data. With 30+ fields per listing and flexible URL targeting, it transforms unstructured search results into actionable insights. Whether you're a recruiter, researcher, or platform operator, this scraper accelerates your workflow and unlocks competitive advantage through data-driven job market intelligence.