Pnet Scraper 💰 $0.95/1K — South Africa Job Listings avatar

Pnet Scraper 💰 $0.95/1K — South Africa Job Listings

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from $0.95 / 1,000 results

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Pnet Scraper 💰 $0.95/1K — South Africa Job Listings

Pnet Scraper 💰 $0.95/1K — South Africa Job Listings

Scrape pnet.co.za - South Africa's leading StepStone job portal. Extracts salary ranges, geo coordinates, and employment type per listing. Incremental mode detects new and changed listings across runs.

Pricing

from $0.95 / 1,000 results

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0.0

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Developer

Black Falcon Data

Black Falcon Data

Maintained by Community

Actor stats

2

Bookmarked

10

Total users

6

Monthly active users

3 days ago

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What does Pnet Scraper do?

Pnet Scraper extracts structured job data from pnet.co.za — including salary data, contact details (email, apply URL), 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.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

  • ♻️ Incremental mode — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
  • 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Pnet jobs" pings to your hiring channel.
  • 📋 Detail enrichment — two-stage scraping: first collect listings, then enrich each with the full description + detail-page fields. Pnet's detail pages are occasionally rate-limited from datacenter IPs, so the actor uses a tiered fetch — direct first, with an enhanced fallback path. Most runs (~95% of listings) get the full detail payload; the remaining ~5% fall back to the SERP snippet for that listing's description field, with all other structured fields still populated.
  • 💰 Structured salary — salary parsed into structured salaryMin / salaryMax / salaryCurrency / period — no string parsing on your side. Includes salaryHidden flag when the source filtered against a bracket but the listing itself doesn't disclose.
  • 📧 Email + phone extraction — every record carries extractedEmails[] and extractedPhones[] regex-pulled from the description — direct-outreach lists with no extra processing step.
  • 🔗 URL + social-profile extraction — every record carries extractedUrls[] and structured socialProfiles { linkedin, twitter, github, … } parsed from the description — useful when employers drop their careers page or recruiter LinkedIn in-line.
  • 📦 Compact mode — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
  • ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
  • 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).

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 and descriptionHtml), contact and apply information (contactEmail, contactPhone, and applyUrl), and company metadata (company, companyLogo, companyUrl, and companyEmployeeRange). 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 14 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
"query": "software developer",
"maxResults": 50
}

Filtered search — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

{
"query": "software developer",
"contractType": "permanent",
"experienceLevel": "no-experience",
"maxResults": 100
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
"query": "software developer",
"maxResults": 200,
"incrementalMode": true,
"stateKey": "software-developer-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
"query": "software developer",
"contractType": "permanent",
"experienceLevel": "no-experience",
"maxResults": 50,
"compact": true
}

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": "4c665700f809db666c6ec82e464a945f51ae3ff95a09091cb7bac3b038531b4e",
"pnetId": 4137723,
"harmonisedId": "f6b01038-c001-4546-88bc-6b99f9a3f094",
"title": "Software Developer",
"company": "Helm Operations",
"location": "Remote, South Africa",
"city": "Victoria",
"latitude": null,
"longitude": null,
"description": "Introduction\nAt Helm Operations, we build the software that keeps the world’s maritime operations moving. From tugboats in Vancouver Harbour to offshore service vessels in the North Sea, our customers...",
"descriptionHtml": "<h4>Introduction</h4>\n<p>At Helm Operations, we build the software that keeps the world’s maritime operations moving. From tugboats in Vancouver Harbour to offshore service vessels in the North Sea, o...",
"employmentType": "FULL_TIME",
"contractType": "Permanent",
"workType": "Full Time",
"industry": "IT, IT-Software Development",
"workFromHome": "On-site",
"isSponsored": false,
"isRepost": false,
"repostDetectedAt": null,
"salaryText": "500 ZAR",
"salaryMin": null,
"salaryMax": null,
"salaryCurrency": "ZAR",
"salaryType": null,
"postedAt": "2026-04-10T21:06:18+02:00",
"validThrough": "2026-05-10T19:06:18.11Z",
"applyUrl": "https://www.pnet.co.za/jobs--Software-Developer-Remote-South-Africa-Helm-Operations--4137723-inline.html",
"canonicalUrl": "https://www.pnet.co.za/jobs--Software-Developer-Remote-South-Africa-Helm-Operations--4137723-inline.html",
"portalUrl": "https://www.pnet.co.za",
"companyLogo": "",
"companyUrl": "https://www.pnet.co.za/cmp/en/helm-operations-77002/jobs",
"companyEmployeeRange": null,
"companyIndustry": null,
"contactEmail": "sasha.reid@helmoperations.com",
"contactPhone": null,
"fetchedAt": "2026-04-11T22:10:55.343Z",
"sourceDomain": "pnet.co.za",
"changeType": "new"
}

Incremental fields

When incremental: true, each record also carries:

  • changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED.
  • firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.

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, 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: $0.00095 per job record

Example costs:

  • 10 results: $0.02
  • 25 results: $0.03
  • 100 results: $0.1
  • 200 results: $0.2
  • 500 results: $0.48

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rateFull re-scrape run costIncremental run costSavings vs full re-scrapeMonthly cost after baseline
5% — stable niche query$0.10$0.01$0.09 (86%)$0.44
15% — moderate broad query$0.10$0.02$0.08 (77%)$0.73
30% — high-volume aggregator$0.10$0.04$0.07 (63%)$1.16

Full re-scrape monthly cost at daily polling: $3.15. First month with incremental costs $0.53 / $0.81 / $1.22 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

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.

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.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

  1. Sign up — $5 platform credit included
  2. Open this actor and configure your input
  3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.