# Seek Jobs Scraper — Real-Time Job Data (AU, NZ & APAC) (`b2b_leads/seek-jobs-real-time-data`) Actor Seek jobs data for Australia, New Zealand, UK & APAC. Search by role, location & employer. Export titles, salaries, descriptions & apply links as clean JSON. Real-time streaming, webhooks, LLM-ready output for recruiting automation, job aggregators & talent intelligence. - **URL**: https://apify.com/b2b\_leads/seek-jobs-real-time-data.md - **Developed by:** [Chidubem Aneke](https://apify.com/b2b_leads) (community) - **Categories:** Jobs, Developer tools, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 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 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/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 ## Seek Jobs Real-Time Data **The fastest way to collect Seek job postings on Apify.** Turn any job search into clean, structured JSON — ready for spreadsheets, dashboards, automations, and AI workflows. Results land in your dataset **in real time**, as each job is found. Built for recruiters, talent teams, job boards, market researchers, and builders who need **reliable hiring data across Australia, New Zealand, and Asia-Pacific markets** — without slow setups or messy exports. --- ### Why this Actor | | Seek Jobs Real-Time Data | Typical job data tool | |---|--------------------------|------------------------| | **Speed** | Fast per-job collection | Often 5–15 s per job | | **Memory** | **256–512 MB** default | 2–4 GB+ | | **Setup** | Run in seconds | Often complex configuration | | **Cost** | Low compute, efficient runs | High | | **Output** | Structured JSON, LLM-ready | Often messy or incomplete | | **Scale** | Up to **1,000 jobs** per keyword | Often capped lower | | **Filters** | Full Seek Jobs filters | Often keyword-only | | **Modes** | Search · Company jobs · Job links | Usually one mode only | | **Markets** | AU, NZ, UK, SG, HK, ID, TH, MY, PH | Often single region | --- ### Three ways to collect jobs | Mode | What it does | Best for | |------|--------------|----------| | **Job search** | Keyword + location search with full Seek filters | Market scans, role tracking, location-based hiring | | **Company jobs** | All open roles from specific employers | Competitor monitoring, account-based recruiting | | **Job links** | Structured data from individual Seek job URLs | Enriching a list you already have | Enable one or combine all three in a single run. --- ### What you get — every job, fully structured Each record is one job posting with `featureType`, `jobKey`, and `scrapedAt` so you can sort, filter, and join with your own data. | Field | What it tells you | |-------|-------------------| | `title`, `company`, `location`, `workplaceType` | Role, employer, place, on-site/remote/hybrid | | `jobUrl`, `applyUrl`, `companyUrl`, `companyLogo` | Direct links and company branding | | `descriptionText`, `descriptionHtml` | Full job description (when detail fetch is on) | | `classification`, `subClassification` | How Seek categorises the role | | `salary`, `bulletPoints`, `jobTypes` | Compensation signals, highlights, and employment type | | `listedAtISO`, `postedTimeAgo` | How fresh the listing is | | `searchQuery`, `searchLocation`, `searchCompany`, `position` | Which search produced this row and its rank | | `isFeatured`, `isSponsored` | Listing prominence signals | | `advertiserId`, `employerId`, `roleId` | Stable identifiers for joins and deduplication | Set `includeRaw: true` if you need extended record data for custom processing. **`featureType` values:** `job` (search) · `company_job` (company jobs) · `scrape_by_url` (job links) --- ### Search like Seek Jobs — get data like a database Use the **same filters job seekers use on Seek**: - **Keywords** — one search per keyword (e.g. `software engineer`, `registered nurse`) - **Title** — narrow to a specific role name - **Company** — jobs at Atlassian, Canva, or any employer - **Location** — Sydney NSW 2000, Melbourne VIC, Auckland, and more - **Employment type** — full-time, part-time, contract, casual - **Workplace** — on-site, remote, hybrid - **Date posted** — any time, past month, week, 3 days, or 24 hours - **Sort** — relevance or most recent - **Volume** — up to **1,000 jobs per keyword** - **Full details** — toggle rich descriptions and enriched fields on or off #### Supported markets (`country`) | Code | Market | |------|--------| | `au` | Australia (seek.com.au) | | `nz` | New Zealand (seek.co.nz) | | `uk` | United Kingdom (seek.co.uk) | | `sg` | Singapore | | `hk` | Hong Kong | | `id` | Indonesia | | `th` | Thailand | | `my` | Malaysia (JobStreet) | | `ph` | Philippines (JobStreet) | --- ### Use cases — real outcomes - **Recruiting pipelines** — build candidate-ready job lists by role, location, and seniority - **Job boards and aggregators** — feed your product with fresh Seek listings daily - **Market and salary research** — track who is hiring, where, and for what skills across APAC - **Competitive intelligence** — monitor competitor hiring by company and function - **Sales and BD** — spot companies in hiring mode for timely outreach - **Staffing agencies** — track demand by region, role, and employer - **AI assistants and agents** — summarize listings, score fit, draft outreach, or answer hiring questions - **Data warehouses and CRMs** — push JSON into Snowflake, BigQuery, HubSpot, Airtable, or your stack via API --- ### LLM and MCP integration Output is **structured JSON** — ideal for ChatGPT, Claude, Gemini, LangChain, LlamaIndex, CrewAI, and custom agents. No cleanup step. No manual formatting. Just records your model can read. #### Recommended workflow 1. Run the Actor with your keywords, companies, or job links. 2. Pull dataset items via [Apify API](https://docs.apify.com/api/v2), webhook, or export JSON/CSV. 3. Pass records to your LLM, vector store, or automation — one job per row. #### Example: one job record for an LLM prompt ```json { "featureType": "job", "jobKey": "93190629", "title": "Software Engineer", "company": "Atlassian", "location": "Sydney NSW", "workplaceType": "Hybrid", "jobTypes": ["Full time"], "descriptionText": "Join our engineering team building scalable products for millions of users...", "salary": "$120,000 – $150,000 per year", "classification": "Information & Communication Technology", "subClassification": "Engineering - Software", "bulletPoints": ["Flexible working", "Career growth", "Global team"], "listedAtISO": "2026-07-08T03:50:44.091Z", "postedTimeAgo": "2d ago", "jobUrl": "https://www.seek.com.au/job/93190629", "searchQuery": "software engineer", "searchLocation": "Sydney NSW 2000", "position": 1, "scrapedAt": "2026-07-11T12:00:00.000Z" } ```` #### Apify MCP (Model Context Protocol) Connect the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) so AI assistants can: - **Run** this Actor from natural-language instructions - **Read** job results directly in the chat - **Chain** with other Actors — enrich contacts, send alerts, update spreadsheets **Example MCP conversation:** ``` User: "Find 50 software engineer jobs in Sydney posted this week and summarize top employers" → MCP runs Seek Jobs Real-Time Data with jobKeywords, jobLocation=Sydney NSW 2000, jobDatePosted=week → MCP reads dataset items → LLM summarizes hiring trends and top companies ``` #### API quick start ```bash curl -X POST "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "enableJobSearch": true, "jobKeywords": ["software engineer"], "jobLocation": "Sydney NSW 2000", "jobDatePosted": "week", "jobsPerQuery": 50, "fetchJobDetails": true, "country": "au" }' ``` **Fetch results:** `GET https://api.apify.com/v2/datasets/{datasetId}/items?format=json` **Dataset views in Apify Console:** Overview (core fields) and Full details (includes descriptions) Export as **JSON**, **CSV**, **Excel**, **RSS**, or via **API**. *** ### Input reference #### Job search | Input | Type | Default | Description | |-------|------|---------|-------------| | `enableJobSearch` | boolean | `true` | Turn keyword search on or off | | `jobKeywords` | string\[] | `["software engineer"]` | Search keywords — one run per keyword | | `jobTitle` | string | — | Title filter | | `jobCompany` | string | — | Company filter | | `jobLocation` | string | `"Sydney NSW 2000"` | Location | | `jobTypes` | enum\[] | all | fulltime, parttime, contract, casual | | `jobRemote` | enum\[] | all | onsite, remote, hybrid | | `jobDatePosted` | enum | `any` | any, month, week, 3days, day | | `jobSort` | enum | `relevance` | relevance or date | | `jobsPerQuery` | integer | `25` | Max jobs per keyword (1–1000) | #### Company jobs | Input | Type | Default | Description | |-------|------|---------|-------------| | `enableCompanyJobs` | boolean | `false` | Collect jobs from company profiles | | `companyNames` | string\[] | `[]` | Company names (e.g. Atlassian, Canva) | | `jobsPerCompany` | integer | `25` | Max jobs per company (1–1000) | #### Job links | Input | Type | Default | Description | |-------|------|---------|-------------| | `enableScrapeByUrl` | boolean | `false` | Collect data from individual job links | | `jobUrls` | string\[] | `[]` | Seek job page URLs | #### Output and global | Input | Type | Default | Description | |-------|------|---------|-------------| | `fetchJobDetails` | boolean | `true` | Full description and enriched fields | | `includeRaw` | boolean | `false` | Attach extended record data | | `webhookUrl` | string | — | Optional URL for real-time record delivery (Zapier, Slack, CRM) | | `webhookFormat` | enum | `json` | `json` (full record) or `slack` (message) | | `country` | string | `au` | Target market (au, nz, uk, sg, hk, id, th, my, ph) | | `maxItems` | integer | `10000` | Max total records across all modes | | `proxyConfiguration` | object | residential AU | Connection settings (target-market residential recommended) | Full schema: **Input** tab on Apify Console or `.actor/input_schema.json` in this repository. *** ### Output reference Each dataset row is one job record. Filter by `featureType`: | `featureType` | Description | |---------------|-------------| | `job` | Job from keyword search | | `company_job` | Job from company jobs mode | | `scrape_by_url` | Job from job links mode | **Traceability fields on search results:** - `searchQuery` — keyword that produced this row - `searchLocation` — location used in the search - `position` — rank in results for that query Export formats: **JSON**, **CSV**, **Excel**, **RSS**, or via **API**. *** ### Webhook delivery (optional) Every record is **always saved to the Apify dataset** first. If you set `webhookUrl` in the **Output** section, each new record is **also POSTed in real time** to your endpoint — useful for CRMs, Slack, Zapier, Make, or custom pipelines. | Setting | Description | |---------|-------------| | `webhookUrl` | Your endpoint (https). Leave empty to use dataset only. | | `webhookFormat` | `json` — full job object. `slack` — compact Slack incoming-webhook message. | Webhook delivery is **best-effort**: a failed webhook never stops the run or prevents dataset writes. **Example — search with Slack alerts** ```json { "enableJobSearch": true, "jobKeywords": ["data analyst"], "jobLocation": "Melbourne VIC", "jobsPerQuery": 50, "webhookUrl": "https://hooks.slack.com/services/YOUR/WEBHOOK/URL", "webhookFormat": "slack" } ``` **Example — search with JSON webhook to your CRM** ```json { "enableJobSearch": true, "jobKeywords": ["product manager"], "jobLocation": "Sydney NSW 2000", "fetchJobDetails": true, "webhookUrl": "https://your-crm.example.com/api/jobs", "webhookFormat": "json" } ``` *** ### Quick start examples **Software roles in Sydney — full details** ```json { "enableJobSearch": true, "jobKeywords": ["software engineer"], "jobLocation": "Sydney NSW 2000", "jobDatePosted": "week", "jobSort": "date", "jobsPerQuery": 50, "fetchJobDetails": true, "country": "au" } ``` **Jobs at a specific company** ```json { "enableJobSearch": true, "jobKeywords": ["engineer"], "jobCompany": "Atlassian", "jobLocation": "Sydney NSW 2000", "jobsPerQuery": 100 } ``` **All jobs from employer profiles** ```json { "enableCompanyJobs": true, "companyNames": ["Atlassian", "Canva", "Xero"], "jobsPerCompany": 50, "fetchJobDetails": true, "country": "au" } ``` **Import specific job links** ```json { "enableScrapeByUrl": true, "jobUrls": [ "https://www.seek.com.au/job/93190629" ], "fetchJobDetails": true } ``` **Fresh listings only — fast summary mode** ```json { "enableJobSearch": true, "jobKeywords": ["nurse"], "jobLocation": "Brisbane QLD", "jobDatePosted": "day", "jobSort": "date", "jobsPerQuery": 75, "fetchJobDetails": false, "country": "au" } ``` **High-volume APAC market scan** ```json { "enableJobSearch": true, "jobKeywords": ["machine learning", "data scientist", "AI engineer"], "jobLocation": "Sydney NSW 2000", "jobsPerQuery": 500, "fetchJobDetails": true, "country": "au" } ``` **New Zealand search** ```json { "enableJobSearch": true, "jobKeywords": ["software developer"], "jobLocation": "Auckland", "jobsPerQuery": 100, "country": "nz" } ``` *** ### Performance and reliability - **Residential proxy (target market recommended)** — best results and consistent throughput. Default is AU; match proxy country to your `country` input. - **Default memory: 512 MB** — enough for high-volume runs with multiple keywords and companies. - **Streaming output** — each job is written to the dataset immediately; nothing is buffered in memory for long runs. - **Webhook delivery** — optionally POST each new record to your URL in real time (dataset is always the primary output). - **Smart search expansion** — automatically broadens coverage when you request large result sets. - **Concurrent collection** — multiple keywords, companies, and job details are processed efficiently for faster results at 512 MB memory. *** ### Limitations and compliance - This is an unofficial tool — not affiliated with Seek or JobStreet. - Use responsibly and comply with applicable laws and Seek's Terms of Service. - Some fields (e.g. salary) appear only when employers publish them. - Listing availability can change; expired postings may return summary data only. *** ### Contact and custom work Need something beyond this Actor? I design and build **custom data solutions** and **full-stack products** for teams that want results — not experiments. **Email:** \ **GitHub:** [github.com/DrunkCodes](https://github.com/DrunkCodes) Reach out for: - **Custom Apify Actors** — any website, job board, or data source - **Seek and hiring data projects** — pipelines, alerts, and dashboards at scale - **LLM and MCP integrations** — connect your data to ChatGPT, Claude, and agent workflows - **Web apps and automation** — data tools, internal platforms, SaaS products, and client-facing apps - **Any data collection project** — lead generation, market research, monitoring, and enrichment at scale Whether you need a one-off data feed or a production system, I can help you ship it. *** *Seek Jobs Real-Time Data · by [DrunkCodes](https://github.com/DrunkCodes)* # Actor input Schema ## `enableJobSearch` (type: `boolean`): Search Seek Jobs by keyword, title, company, and location with filters — the same way you would in the Seek app. ## `jobKeywords` (type: `array`): Main job search keywords. One search per keyword — e.g. software engineer, data analyst, project manager. ## `jobTitle` (type: `string`): Optional title filter (e.g. Software Engineer). Combined with keywords for more precise results. ## `jobCompany` (type: `string`): Optional company filter — jobs at a specific employer (e.g. Atlassian, Canva). Leave empty for any company. ## `jobLocation` (type: `string`): Location to search jobs in (e.g. Sydney NSW 2000, Melbourne VIC, Auckland). ## `jobTypes` (type: `array`): Filter jobs by employment type. Leave empty for all types. ## `jobRemote` (type: `array`): Filter jobs by on-site, remote, or hybrid. ## `jobDatePosted` (type: `string`): Only return jobs posted within this window. ## `jobSort` (type: `string`): Relevance or most recent. ## `jobsPerQuery` (type: `integer`): Maximum jobs to return per keyword (1–1000). ## `enableCompanyJobs` (type: `boolean`): Collect open positions from specific employers on Seek. ## `companyNames` (type: `array`): Employer names as listed on Seek (e.g. Atlassian, Canva, Xero). ## `jobsPerCompany` (type: `integer`): Maximum jobs to return per company (1–1000). ## `enableScrapeByUrl` (type: `boolean`): Collect structured data from individual Seek job page links you already have. ## `jobUrls` (type: `array`): Seek job page URLs you want to collect (e.g. https://www.seek.com.au/job/93190629). ## `fetchJobDetails` (type: `boolean`): Include each job's full description and enriched fields. Slightly slower but much richer output. ## `includeRaw` (type: `boolean`): Attach extended record data under the raw field. Larger output — for advanced users. ## `webhookUrl` (type: `string`): Optional. Every record is always saved to the run's dataset — this webhook is an additional real-time push. When set, each new record is also sent to this URL (CRM, Slack, Zapier, Make, Google Sheets). ## `webhookFormat` (type: `string`): json = full record object; slack = Slack-friendly message payload. ## `country` (type: `string`): Target market: au (Australia), nz (New Zealand), uk, sg, hk, id, th, my (Malaysia), ph (Philippines). ## `maxItems` (type: `integer`): Maximum total job records across all enabled modes (up to 10,000). ## `proxyConfiguration` (type: `object`): Residential connection in the target market recommended for best results and consistent throughput. ## Actor input object example ```json { "enableJobSearch": true, "jobKeywords": [ "software engineer" ], "jobTitle": "", "jobCompany": "", "jobLocation": "Sydney NSW 2000", "jobTypes": [], "jobRemote": [ "onsite", "remote", "hybrid" ], "jobDatePosted": "any", "jobSort": "relevance", "jobsPerQuery": 25, "enableCompanyJobs": false, "companyNames": [], "jobsPerCompany": 25, "enableScrapeByUrl": false, "jobUrls": [], "fetchJobDetails": true, "includeRaw": false, "webhookUrl": "", "webhookFormat": "json", "country": "au", "maxItems": 10000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "AU" } } ``` # Actor output Schema ## `allResults` (type: `string`): Complete dataset with every job field from this run. ## `overview` (type: `string`): Core job fields table view. ## `full` (type: `string`): All job fields including descriptions. # 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 = { "enableJobSearch": true, "jobKeywords": [ "software engineer" ], "jobTitle": "", "jobCompany": "", "jobLocation": "Sydney NSW 2000", "jobTypes": [], "jobRemote": [ "onsite", "remote", "hybrid" ], "jobDatePosted": "any", "jobSort": "relevance", "jobsPerQuery": 25, "enableCompanyJobs": false, "companyNames": [], "jobsPerCompany": 25, "enableScrapeByUrl": false, "jobUrls": [], "fetchJobDetails": true, "includeRaw": false, "webhookUrl": "", "country": "au", "maxItems": 10000 }; // Run the Actor and wait for it to finish const run = await client.actor("b2b_leads/seek-jobs-real-time-data").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 = { "enableJobSearch": True, "jobKeywords": ["software engineer"], "jobTitle": "", "jobCompany": "", "jobLocation": "Sydney NSW 2000", "jobTypes": [], "jobRemote": [ "onsite", "remote", "hybrid", ], "jobDatePosted": "any", "jobSort": "relevance", "jobsPerQuery": 25, "enableCompanyJobs": False, "companyNames": [], "jobsPerCompany": 25, "enableScrapeByUrl": False, "jobUrls": [], "fetchJobDetails": True, "includeRaw": False, "webhookUrl": "", "country": "au", "maxItems": 10000, } # Run the Actor and wait for it to finish run = client.actor("b2b_leads/seek-jobs-real-time-data").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 '{ "enableJobSearch": true, "jobKeywords": [ "software engineer" ], "jobTitle": "", "jobCompany": "", "jobLocation": "Sydney NSW 2000", "jobTypes": [], "jobRemote": [ "onsite", "remote", "hybrid" ], "jobDatePosted": "any", "jobSort": "relevance", "jobsPerQuery": 25, "enableCompanyJobs": false, "companyNames": [], "jobsPerCompany": 25, "enableScrapeByUrl": false, "jobUrls": [], "fetchJobDetails": true, "includeRaw": false, "webhookUrl": "", "country": "au", "maxItems": 10000 }' | apify call b2b_leads/seek-jobs-real-time-data --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=b2b_leads/seek-jobs-real-time-data", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Seek Jobs Scraper — Real-Time Job Data (AU, NZ & APAC)", "description": "Seek jobs data for Australia, New Zealand, UK & APAC. Search by role, location & employer. Export titles, salaries, descriptions & apply links as clean JSON. Real-time streaming, webhooks, LLM-ready output for recruiting automation, job aggregators & talent intelligence.", "version": "0.0", "x-build-id": "o0ApCev0XEX9rT4Tp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/b2b_leads~seek-jobs-real-time-data/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-b2b_leads-seek-jobs-real-time-data", "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/b2b_leads~seek-jobs-real-time-data/runs": { "post": { "operationId": "runs-sync-b2b_leads-seek-jobs-real-time-data", "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/b2b_leads~seek-jobs-real-time-data/run-sync": { "post": { "operationId": "run-sync-b2b_leads-seek-jobs-real-time-data", "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", "properties": { "enableJobSearch": { "title": "Job search", "type": "boolean", "description": "Search Seek Jobs by keyword, title, company, and location with filters — the same way you would in the Seek app.", "default": true }, "jobKeywords": { "title": "Job keywords", "type": "array", "description": "Main job search keywords. One search per keyword — e.g. software engineer, data analyst, project manager.", "default": [ "software engineer" ], "items": { "type": "string" } }, "jobTitle": { "title": "Job title", "type": "string", "description": "Optional title filter (e.g. Software Engineer). Combined with keywords for more precise results.", "default": "" }, "jobCompany": { "title": "Company", "type": "string", "description": "Optional company filter — jobs at a specific employer (e.g. Atlassian, Canva). Leave empty for any company.", "default": "" }, "jobLocation": { "title": "Job location", "type": "string", "description": "Location to search jobs in (e.g. Sydney NSW 2000, Melbourne VIC, Auckland).", "default": "Sydney NSW 2000" }, "jobTypes": { "title": "Job types", "type": "array", "description": "Filter jobs by employment type. Leave empty for all types.", "items": { "type": "string", "enum": [ "fulltime", "parttime", "contract", "casual" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Casual" ] }, "default": [] }, "jobRemote": { "title": "Workplace type", "type": "array", "description": "Filter jobs by on-site, remote, or hybrid.", "items": { "type": "string", "enum": [ "onsite", "remote", "hybrid" ], "enumTitles": [ "On-site", "Remote", "Hybrid" ] }, "default": [ "onsite", "remote", "hybrid" ] }, "jobDatePosted": { "title": "Date posted", "enum": [ "any", "month", "week", "3days", "day" ], "type": "string", "description": "Only return jobs posted within this window.", "default": "any" }, "jobSort": { "title": "Sort jobs by", "enum": [ "relevance", "date" ], "type": "string", "description": "Relevance or most recent.", "default": "relevance" }, "jobsPerQuery": { "title": "Jobs per keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum jobs to return per keyword (1–1000).", "default": 25 }, "enableCompanyJobs": { "title": "Company jobs", "type": "boolean", "description": "Collect open positions from specific employers on Seek.", "default": false }, "companyNames": { "title": "Company names", "type": "array", "description": "Employer names as listed on Seek (e.g. Atlassian, Canva, Xero).", "default": [], "items": { "type": "string" } }, "jobsPerCompany": { "title": "Jobs per company", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum jobs to return per company (1–1000).", "default": 25 }, "enableScrapeByUrl": { "title": "Job links", "type": "boolean", "description": "Collect structured data from individual Seek job page links you already have.", "default": false }, "jobUrls": { "title": "Job URLs", "type": "array", "description": "Seek job page URLs you want to collect (e.g. https://www.seek.com.au/job/93190629).", "default": [], "items": { "type": "string" } }, "fetchJobDetails": { "title": "Fetch full job details", "type": "boolean", "description": "Include each job's full description and enriched fields. Slightly slower but much richer output.", "default": true }, "includeRaw": { "title": "Include extended data", "type": "boolean", "description": "Attach extended record data under the raw field. Larger output — for advanced users.", "default": false }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "Optional. Every record is always saved to the run's dataset — this webhook is an additional real-time push. When set, each new record is also sent to this URL (CRM, Slack, Zapier, Make, Google Sheets).", "default": "" }, "webhookFormat": { "title": "Webhook format", "enum": [ "json", "slack" ], "type": "string", "description": "json = full record object; slack = Slack-friendly message payload.", "default": "json" }, "country": { "title": "Country", "type": "string", "description": "Target market: au (Australia), nz (New Zealand), uk, sg, hk, id, th, my (Malaysia), ph (Philippines).", "default": "au" }, "maxItems": { "title": "Max total items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum total job records across all enabled modes (up to 10,000).", "default": 10000 }, "proxyConfiguration": { "title": "Connection settings", "type": "object", "description": "Residential connection in the target market recommended for best results and consistent throughput.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "AU" } } } }, "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 } } } } } } } } } } ```