# Collect Melbourne sales jobs from direct employers only

**Use case:** 

Scrapes sales roles advertised in Melbourne in the last three days and drops recruitment agencies and private advertisers, so you are left with ads posted by the hiring company itself. Built for agency prospecting and for candidates who want to apply direct. Returns employer name, advertiser flags, suburb, work type and the full ad text.

## Input

```json
{
  "markets": [
    "AU"
  ],
  "locationsDropdown": [
    "AU:1002"
  ],
  "locations": [],
  "keywords": "",
  "classifications": [
    "6362"
  ],
  "salaryType": "annual",
  "postedWithinDays": "3",
  "sortBy": "relevance",
  "unknownIndustryPolicy": "exclude",
  "excludeRecruitmentAgencies": true,
  "excludePrivateAdvertisers": true,
  "keywordFields": [
    "title",
    "teaser",
    "bullets",
    "company",
    "description"
  ],
  "includeDetails": true,
  "includeCompanyProfile": false,
  "extractContacts": false,
  "labelLanguage": "en",
  "includeRawData": false,
  "dedupMemoryName": "",
  "emitDuplicates": false,
  "resetDedupMemory": false,
  "maxItems": 50,
  "maxRequestsPerSecond": 4,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "title": {
    "label": "Job title",
    "format": "text"
  },
  "companyName": {
    "label": "Employer",
    "format": "text"
  },
  "companyIndustry": {
    "label": "Employer industry",
    "format": "text"
  },
  "location": {
    "label": "Location",
    "format": "text"
  },
  "state": {
    "label": "State or region",
    "format": "text"
  },
  "postcode": {
    "label": "Postcode",
    "format": "text"
  },
  "listedAt": {
    "label": "Listed at",
    "format": "date"
  },
  "salaryLabel": {
    "label": "Salary (as shown)",
    "format": "text"
  },
  "salaryMin": {
    "label": "Salary min",
    "format": "number"
  },
  "salaryMax": {
    "label": "Salary max",
    "format": "number"
  },
  "workType": {
    "label": "Work type",
    "format": "text"
  },
  "workArrangement": {
    "label": "Work arrangement",
    "format": "text"
  },
  "classification": {
    "label": "Job category",
    "format": "text"
  },
  "subclassification": {
    "label": "Sub-category",
    "format": "text"
  },
  "applicantCount": {
    "label": "Applicants",
    "format": "number"
  },
  "url": {
    "label": "Job URL",
    "format": "link"
  },
  "market": {
    "label": "Market",
    "format": "text"
  },
  "changeType": {
    "label": "New/Updated",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [SEEK Job Scraper: Australia & New Zealand Jobs](https://apify.com/automation_craft/seek-job-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation_craft/seek-job-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automation_craft/seek-job-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).