Pnet Scraper — South Africa Jobs from pnet.co.za

What does Pnet Scraper do?

Pnet Scraper extracts structured job data from pnet.co.za — including salary data, contact details, company metadata, full descriptions, and location data. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company metadata, and contact information) where the source provides them, incremental monitoring that only returns new or changed results on recurring runs, and a compact output mode for AI-agent and MCP workflows.

What data can you extract from pnet.co.za?

Each result includes Core listing fields (jobId, pnetId, harmonisedId, title, location, city, latitude, and longitude, and more), detail fields when enrichment is enabled (description), contact and apply information (applyUrl, contactEmail, and contactPhone), and company metadata (company, companyLogoUrl, companyUrl, and companySize). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions, company metadata, and contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords (e.g. 'software developer', 'accountant', 'nurse').
• location — City or area slug (e.g. 'johannesburg', 'cape-town', 'durban'). Used in URL path.
• contractType — Filter by contract type.
• remoteWork — Filter by remote work availability.
• experienceLevel — Filter by experience level.
• jobAge — Only show jobs posted within this period.
• sort — Sort order for results.
• maxResults — Maximum total results (0 = unlimited). (default: 25)
• includeDetails — Fetch full job descriptions and metadata from detail pages. Slower but provides complete data including geo coordinates, employment type, and full HTML descriptions. (default: false)
• descriptionMaxLength — Truncate description to N characters. 0 = no truncation. (default: 0)
• descriptionFormat — Output description as plain text or HTML. (default: "text")
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• ...and 2 more parameters

Input example

{
  "query": "software developer",
  "maxResults": 5,
  "includeDetails": false,
  "descriptionMaxLength": 0,
  "descriptionFormat": "text",
  "compact": false,
  "incrementalMode": false
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "602fb44e28606fdf36c4312bc0eb68fd688aae66e28be99fdbcbbfa0aa237300",
  "pnetId": 4169450,
  "harmonisedId": "d4f51a4b-4f0f-415b-9bfe-165d04635bfd",
  "title": "Intermediate Software Developer",
  "company": "IQbusiness",
  "location": "Cape Town",
  "city": "Cape Town",
  "latitude": -33.92474,
  "longitude": 18.424107,
  "description": "Position: Intermediate Software Developer\n\nLocation: 14 Kloof Street, Cape Town\n\nWe are currently seeking an experienced Intermediate Software Developer to join our team. The ideal candidate will have...",
  "employmentType": "FULL_TIME",
  "industry": "IT, IT-Software Development",
  "workFromHome": "On-site",
  "salaryText": null,
  "postedDate": "2026-03-25T07:14:02+02:00",
  "expiresDate": "2026-04-24T12:01:45.833Z",
  "applyUrl": "https://www.pnet.co.za/jobs--Intermediate-Software-Developer-Cape-Town-IQbusiness--4169450-inline.html",
  "url": "https://www.pnet.co.za/jobs--Intermediate-Software-Developer-Cape-Town-IQbusiness--4169450-inline.html",
  "portalUrl": "https://www.pnet.co.za",
  "companyLogoUrl": "https://www.pnet.co.za/upload_za/logo/6/logoIQbusiness-13051ZEN-2508281622.gif",
  "companyUrl": "https://www.pnet.co.za/cmp/en/iqbusiness-13051/jobs",
  "companySize": "1001-2500",
  "companySector": "Consulting",
  "contactEmail": null,
  "contactPhone": null,
  "scrapedAt": "2026-03-28T13:15:52.777Z",
  "source": "pnet.co.za"
}

How to scrape pnet.co.za

1. Go to Pnet Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, or company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from pnet.co.za for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape pnet.co.za?

Pnet Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 100 results: $0.21
• 500 results: $1.01

Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient.

FAQ

How many results can I get from pnet.co.za?

The number of results depends on the search query and available listings on pnet.co.za. Use the maxResults parameter to control how many results are returned per run.

Does Pnet Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Pnet Scraper with other apps?

Yes. Pnet Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Pnet Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Pnet Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape pnet.co.za?

This actor extracts publicly available data from pnet.co.za. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

You might also like

• Arbeitsagentur Scraper — Extract job listings from arbeitsagentur.de — Germany's official public employment portal with 1M+.
• Dice.com Job Scraper — Scrape Dice.com tech job listings with structured salary (min/max/currency), full descriptions,.
• Drushim Scraper - Israel Job Listings from drushim.co.il — Extract structured job listings from drushim.co.il, Israel's leading job board. Search by keyword,.
• Duunitori Scraper — Extract structured job listings from Duunitori.fi — Finland's largest job board. Salary ranges,.
• Glassdoor Job Scraper — Extract structured job listings from Glassdoor across 21 markets with salary data, filters, compact.
• Indeed Job Scraper — Extract structured job listings from Indeed across 62 markets with built-in change tracking.
• Jobdanmark Scraper — Extract structured job listings from jobdanmark.dk — Denmark's job portal with 14,500+ listings,.
• Jobindex Scraper — Scrape structured job listings from Denmark's largest job portals — Jobindex.dk, IT-Jobbank.dk.