# South Africa Jobs Aggregator (`loopwalker-owner/za-jobs-aggregator`) Actor Fresh South African job listings (CareerJunction) as structured JSON: title, company, location, URL. - **URL**: https://apify.com/loopwalker-owner/za-jobs-aggregator.md - **Developed by:** [Armand Oberholzer](https://apify.com/loopwalker-owner) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 job results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## South Africa Jobs Aggregator ### What does ZA Jobs Aggregator do? This actor collects **fresh South African job listings** into structured JSON: title, company, location, summary, and a direct application URL. Current source: [CareerJunction](https://www.careerjunction.co.za), one of ZA's largest job boards, scraped from its public (no-login) search results. Schedule it on Apify to feed job alerts, market dashboards, recruiter tooling, or salary research. ### Why use it? - **Recruiters**: track which companies are hiring for a skill, daily. - **Job-alert products**: one clean feed instead of scraping boards yourself. - **Labour-market analysts**: build time series of ZA demand by keyword. ### How to use it 1. Enter search keywords (e.g. "developer"). 2. Choose how many result pages to collect. 3. Run or schedule; read the dataset via UI or API. ### Input ```json { "keywords": "developer", "maxPages": 1 } ```` ### Output ```json { "source": "careerjunction", "keywords": "developer", "title": "Senior C# Developer", "url": "https://www.careerjunction.co.za/jobs/senior-csharp-developer-johannesburg-123456", "company": "MSP Staffing", "location": "Johannesburg", "summary": "Our client, a leading fintech, is looking for...", "collectedAt": "2026-07-25T18:00:00.000Z" } ``` You can download the dataset in JSON, CSV, or Excel formats. | Field | Meaning | | --- | --- | | `title` / `url` | Listing title and canonical listing URL | | `company` | Hiring company or agency (when disclosed) | | `location` | Listing location text | | `summary` | First ~300 chars of the listing blurb | ### Automate it: Tasks + scheduling (recommended) Job listings decay in days — schedules keep your feed fresh: 1. Click **Create task** and save your keywords as a configuration. 2. Set the task's **Schedule** — daily 07:00 catches listings posted overnight. 3. Each run lands in dataset history, giving you a **hiring-demand time series per keyword**. 4. Use **Integrations** to push new listings to Slack, email digests, or your ATS via webhook. Pro pattern: one task per role family — "developer-jhb", "accountant-cpt", "remote-only" — so alerts stay signal, not noise. ### Pricing Pay-per-event: a small flat fee per run plus a fraction of a cent per job row. A daily one-page pull costs about a cent. ### Roadmap, disclaimers & support Additional boards (JobMail, PNet) are planned; Careers24 and IOL are currently excluded because they sit behind bot protection — this actor does not bypass CAPTCHAs or bot walls. Only public listing metadata is collected (no candidate data, no personal information). Layout changes on the source site can temporarily reduce results; report anything odd via the Issues tab (answered within the Apify 14-day SLA). # Actor input Schema ## `keywords` (type: `string`): Job search keywords, e.g. "developer", "accountant", "project manager". ## `maxPages` (type: `integer`): How many result pages to collect per run (about 20 jobs per page). ## Actor input object example ```json { "keywords": "developer", "maxPages": 1 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": "developer" }; // Run the Actor and wait for it to finish const run = await client.actor("loopwalker-owner/za-jobs-aggregator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": "developer" } # Run the Actor and wait for it to finish run = client.actor("loopwalker-owner/za-jobs-aggregator").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": "developer" }' | apify call loopwalker-owner/za-jobs-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=loopwalker-owner/za-jobs-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "South Africa Jobs Aggregator", "description": "Fresh South African job listings (CareerJunction) as structured JSON: title, company, location, URL.", "version": "0.0", "x-build-id": "83YXYjZxdhDbSP6bf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/loopwalker-owner~za-jobs-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-loopwalker-owner-za-jobs-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/loopwalker-owner~za-jobs-aggregator/runs": { "post": { "operationId": "runs-sync-loopwalker-owner-za-jobs-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/loopwalker-owner~za-jobs-aggregator/run-sync": { "post": { "operationId": "run-sync-loopwalker-owner-za-jobs-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "string", "description": "Job search keywords, e.g. \"developer\", \"accountant\", \"project manager\"." }, "maxPages": { "title": "Max result pages", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many result pages to collect per run (about 20 jobs per page).", "default": 1 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```