# SEEK Australia Jobs Scraper (`jungle_synthesizer/seek-australia-jobs-scraper`) Actor Search and extract job listings from SEEK Australia by keyword, location, salary range, work type, and category. Returns job titles, companies, salaries, locations, work arrangements, and posting dates. Download as JSON or CSV — no login required. - **URL**: https://apify.com/jungle\_synthesizer/seek-australia-jobs-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## SEEK Australia Jobs Scraper Extract job listings from SEEK Australia — Australia's #1 job site — by keyword, location, salary, work type, and more. Returns structured job data ready for download as JSON or CSV, with no login or API key required. ### What you get Each job record includes: | Field | Description | |-------|-------------| | `jobId` | Unique SEEK job ID | | `title` | Job title | | `companyName` | Advertiser or company name | | `location` | Primary job location | | `salary` | Salary label (e.g. `$80,000 – $100,000 per year`) | | `workType` | Work type (Full time, Part time, Contract/Temp, Casual) | | `workArrangement` | Arrangement (Remote, Hybrid, On-site) | | `classification` | Job category (e.g. `Information & Communication Technology`) | | `subclassification` | Sub-category (e.g. `Developers/Programmers`) | | `teaser` | Short job description teaser | | `listingDate` | ISO 8601 listing date | | `listingDateDisplay` | Human-readable date (e.g. `2d ago`) | | `isFeatured` | Whether this is a featured/sponsored listing | | `jobUrl` | Full URL to the job listing on SEEK | | `scrapedAt` | Timestamp when the record was scraped | ### How to use 1. Set your **Keywords** (e.g. `software engineer`, `registered nurse`, `marketing manager`) 2. Set a **Location** (e.g. `Sydney NSW`, `Melbourne VIC`, `All Australia`) 3. Optionally filter by **Work Type**, **Salary Range**, or **Sort Mode** 4. Set **Max Items** to limit result count 5. Run — results are available immediately in the dataset ### Input options | Option | Type | Default | Description | |--------|------|---------|-------------| | `keywords` | string | *(required)* | Search keywords | | `location` | string | `All Australia` | Location to search in | | `workType` | enum | Any | Filter by work type | | `salaryMin` | integer | — | Minimum annual salary | | `salaryMax` | integer | — | Maximum annual salary | | `sortMode` | enum | Relevance | Sort by relevance or listing date | | `maxItems` | integer | 100 | Maximum number of results | ### Example: find remote Python developers in Australia ```json { "keywords": "python developer", "location": "All Australia", "workType": "full_time", "sortMode": "ListedDate", "maxItems": 50 } ```` ### Use cases - **Job market research** — track which roles are in demand, where, and at what salary - **Lead generation** — identify hiring companies in your target industries - **Competitive analysis** — monitor what competitors are hiring for - **Salary benchmarking** — collect salary data across roles and locations - **Recruitment intelligence** — build pipelines of active job listings for sourcing ### Notes - Covers all job categories on SEEK Australia - Salary data is returned as displayed on SEEK (not always available for all listings) - Results reflect live SEEK search results at run time — listings change daily - SEEK's search returns up to ~4,800 results per query; use filters to narrow results when targeting a specific segment # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `keywords` (type: `string`): Search keywords (e.g. "software engineer", "marketing manager") ## `location` (type: `string`): Location to search in (e.g. "Sydney NSW", "Melbourne VIC", "All Australia") ## `workType` (type: `string`): Filter by work type ## `salaryMin` (type: `integer`): Minimum annual salary filter (e.g. 60000) ## `salaryMax` (type: `integer`): Maximum annual salary filter (e.g. 120000) ## `sortMode` (type: `string`): Sort search results by relevance or listing date ## `maxItems` (type: `integer`): Maximum number of job listings to return ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keywords": "software engineer", "location": "All Australia", "workType": "", "sortMode": "KeywordRelevance", "maxItems": 10 } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keywords": "software engineer", "location": "All Australia", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/seek-australia-jobs-scraper").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keywords": "software engineer", "location": "All Australia", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/seek-australia-jobs-scraper").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keywords": "software engineer", "location": "All Australia", "maxItems": 10 }' | apify call jungle_synthesizer/seek-australia-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/seek-australia-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEEK Australia Jobs Scraper", "description": "Search and extract job listings from SEEK Australia by keyword, location, salary range, work type, and category. Returns job titles, companies, salaries, locations, work arrangements, and posting dates. Download as JSON or CSV — no login required.", "version": "0.1", "x-build-id": "miNjCL3bglGXpXZio" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~seek-australia-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-seek-australia-jobs-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~seek-australia-jobs-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-seek-australia-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~seek-australia-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-seek-australia-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "keywords": { "title": "Keywords", "type": "string", "description": "Search keywords (e.g. \"software engineer\", \"marketing manager\")" }, "location": { "title": "Location", "type": "string", "description": "Location to search in (e.g. \"Sydney NSW\", \"Melbourne VIC\", \"All Australia\")" }, "workType": { "title": "Work Type", "enum": [ "", "full_time", "part_time", "contract", "casual_vacation" ], "type": "string", "description": "Filter by work type", "default": "" }, "salaryMin": { "title": "Minimum Salary", "type": "integer", "description": "Minimum annual salary filter (e.g. 60000)" }, "salaryMax": { "title": "Maximum Salary", "type": "integer", "description": "Maximum annual salary filter (e.g. 120000)" }, "sortMode": { "title": "Sort Mode", "enum": [ "KeywordRelevance", "ListedDate" ], "type": "string", "description": "Sort search results by relevance or listing date", "default": "KeywordRelevance" }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of job listings to return", "default": 100 } } }, "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 } } } } } } } } } } ```