Pnet Job Scraper

What does Pnet Job Scraper do?

Pnet Job Scraper collects public job listings from Pnet.co.za, one of South Africa's major employment websites. Enter a keyword and, optionally, a location, category, or posting-date filter to create a structured dataset of job titles, companies, locations, compensation, descriptions, job URLs, and listing metadata.

The Actor is useful for recruitment research, hiring intelligence, salary analysis, job-board aggregation, career-market monitoring, and data enrichment. Results are saved as individual dataset records that can be exported to JSON, CSV, Excel, XML, or connected to other Apify workflows.

Why use Pnet Job Scraper?

• South African job-market coverage - Search Pnet listings by role, city, region, and category.
• Structured recruitment data - Receive consistent fields for job analysis, reporting, and downstream applications.
• Pagination support - Set the result limit and maximum number of pages for small tests or larger collections.
• Useful listing context - Capture employment type, category, salary text, work-from-home status, labels, skills, and sponsored or highlighted status when published.
• Repeatable monitoring - Run the Actor on demand or schedule repeat runs to track new opportunities and changes in hiring demand.
• Workflow-ready exports - Use Apify datasets with API requests, webhooks, Google Sheets, Make, Zapier, or your own data pipeline.

What data can you extract from Pnet?

Field	Type	Description
job_id	String	Pnet job identifier when available.
title	String	Job position title.
job_url	String	Direct URL to the Pnet listing.
company	String	Hiring company name, when published.
company_id	String	Company identifier, when available.
company_url	String	Company profile URL, when available.
company_logo	String	Company logo URL, when available.
location	String	Published job location.
work_from_home	Boolean	Whether the listing is marked as work from home.
post_code	String	Postal code, when available.
travel_time	String	Travel-time information, when published.
date_posted	String	Pnet's published posting-date value.
publish_from	String	Listing publication start timestamp, when available.
publish_to	String	Listing publication end timestamp, when available.
salary	String	Salary or compensation text, when published.
job_type	String	Employment type, such as full-time or contract.
job_category	String	Pnet job category.
section	String	Additional Pnet classification, when available.
description_text	String	Job-description snippet supplied by Pnet.
description_html	String	The same available description snippet wrapped for HTML-compatible use.
labels	Array	Listing labels, when available.
skills	Array	Skills associated with the listing, when available.
top_labels	Array	Featured or prominent listing labels, when available.
is_anonymous	Boolean	Whether the employer is marked anonymous.
is_highlighted	Boolean	Whether Pnet marks the listing as highlighted.
is_sponsored	Boolean	Whether Pnet marks the listing as sponsored.
is_top_job	Boolean	Whether Pnet marks the listing as a top job.
is_backfilled	Boolean	Whether the listing is marked as backfilled.
is_cross_posted	Boolean	Whether the listing is marked as cross-posted.
source_site	String	Partner source name when Pnet provides one.
position_on_page	Number	Listing position on the current result page, when available.
position_absolute	Number	Overall listing position, when available.
scraped_at	String	ISO timestamp for when the record was collected.

Fields are omitted when Pnet does not provide a value. This keeps dataset records free from empty strings, empty arrays, and null values.

How to use Pnet Job Scraper

1. Open Pnet Job Scraper in Apify Console.
2. Enter a keyword such as software engineer, graduate, or accountant.
3. Optionally add a South African location, job category, and posting-date filter.
4. Set results_wanted and max_pages for the size of the collection.
5. Run the Actor and review the dataset preview.
6. Download the results or connect the dataset to an API, webhook, spreadsheet, or automation.

Input Parameters

Parameter	Type	Required	Default	Description
keyword	String	No	"admin"	Search term used to find jobs. If empty, the Actor uses Pnet's admin search path.
location	String	No	""	Location filter, such as Johannesburg, Cape Town, or Durban.
category	String	No	""	Pnet job category or industry filter.
postedWithin	Integer	No	-	Limit listings by recency. Supported values are 1, 3, or 7 days.
results_wanted	Integer	No	20	Minimum target number of unique job records to save.
max_pages	Integer	No	3 in the supplied input	Maximum number of Pnet result pages to process. The runtime fallback is 5 when omitted.
proxyConfiguration	Object	No	-	Optional Apify Proxy configuration. It is used when useApifyProxy is set to true.

The Actor converts numeric limits to positive values. The final number of records can be lower than the requested target if Pnet returns fewer listings, pages end, or the source does not provide more unique jobs.

Usage Examples

Basic keyword search

Collect up to 20 jobs matching a keyword using the supplied default page limit.

{
  "keyword": "software engineer",
  "results_wanted": 20,
  "max_pages": 3
}

Location, category, and recency filters

Narrow the collection to recent data-science roles in Cape Town. postedWithin accepts 1, 3, or 7.

{
  "keyword": "data scientist",
  "location": "Cape Town",
  "category": "Information Technology",
  "postedWithin": 7,
  "results_wanted": 100,
  "max_pages": 10
}

Larger collection with Apify Proxy

Use Apify Proxy for a larger scheduled collection when proxy access is part of your Apify plan.

{
  "keyword": "engineer",
  "location": "Johannesburg",
  "results_wanted": 500,
  "max_pages": 25,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "ZA"
  }
}

Sample Output

The following is an example of one dataset item. Optional fields appear only when Pnet publishes them.

{
  "job_id": "1234567",
  "title": "Senior Software Engineer",
  "job_url": "https://www.pnet.co.za/job/senior-software-engineer/1234567",
  "company": "Example Technology Solutions",
  "company_url": "https://www.pnet.co.za/company/example-technology-solutions",
  "location": "Johannesburg, Gauteng",
  "work_from_home": false,
  "date_posted": "2 days ago",
  "salary": "R600,000 - R800,000 per annum",
  "job_type": "Full-time",
  "job_category": "Information Technology",
  "description_text": "Join a software engineering team building and supporting business applications.",
  "description_html": "<p>Join a software engineering team building and supporting business applications.</p>",
  "labels": [
    "Featured"
  ],
  "skills": [
    "JavaScript",
    "SQL"
  ],
  "is_anonymous": false,
  "is_highlighted": true,
  "is_sponsored": false,
  "is_top_job": false,
  "scraped_at": "2026-08-10T10:30:00.000Z"
}

Tips for best results

• Use a specific keyword when you need a focused dataset, such as Python developer instead of developer.
• Add a location to compare hiring activity across South African cities or regions.
• Start with a small results_wanted value to confirm the search matches your needs.
• Increase max_pages when Pnet has more listings than the first page can show.
• Use postedWithin for recent-job monitoring, then schedule repeat runs for regular updates.
• Review the dataset preview because salary, skills, company details, and other fields depend on what each listing publishes.
• If a run returns fewer records than requested, check whether the search has enough unique public listings and whether the result pages are still available.

Exports and integrations

• Dataset exports - Download results as JSON, CSV, Excel, XML, or other Apify-supported formats.
• Apify API - Retrieve completed dataset items or start runs from your own application.
• Webhooks - Notify another service when a run finishes.
• Google Sheets - Send job records to a spreadsheet for review, filtering, and reporting.
• Make and Zapier - Connect new datasets to alerts, CRM updates, dashboards, or internal workflows.
• Schedules - Run daily, weekly, or custom monitoring jobs from Apify Console.

Frequently Asked Questions

What website does this Actor collect data from?

It collects public job-listing data from Pnet.co.za, with a focus on South African employment searches.

Can I search by keyword and location?

Yes. Use keyword for the role or skill and location for a city, region, or other location value supported by Pnet.

Can I collect only recent Pnet jobs?

Yes. Set postedWithin to 1, 3, or 7 to request listings posted within the selected number of days.

Does the output include full job descriptions?

The output includes the description snippet available in each search result. It does not promise a full detail-page description, so the available text can vary by listing.

Can I export Pnet results to CSV or Excel?

Yes. Apify dataset results can be downloaded in CSV, Excel, JSON, XML, and other supported formats.

Can I run this Actor on a schedule?

Yes. Create an Apify schedule to repeat the same search daily, weekly, or at a custom interval.

Why is a field missing from a job record?

A field is omitted when Pnet does not publish that value for the listing. Salary, company links, skills, labels, and classification fields are not guaranteed for every job.

Is collecting Pnet data legal?

You are responsible for complying with Pnet's terms, applicable privacy requirements, and local laws. Use public data responsibly, avoid unnecessary collection of personal information, and respect any restrictions that apply to your intended use.

Related Actors

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• Learn4Good Job Scraper - Collect worldwide job, teaching, and career listings for broader employment datasets.

Support

For bugs, missing fields, target-site changes, or feature requests, use the Issues tab on the Actor page. Include the input used, run ID, and a short description of the unexpected result when reporting a problem.

Legal Notice

This Actor is intended for legitimate collection of publicly available job-listing data. You are responsible for complying with Pnet's terms of service, applicable laws, privacy rules, and any restrictions related to storing, sharing, or using the collected data.