# Employment Hero Scraper — Australian Job Data Extraction (`fervent_bus/employment-hero-scraper`) Actor

Extract job listings from Employment Hero: titles, companies, locations, salaries, descriptions. Built for recruitment automation, job aggregators, and AI agents. Works with Claude, ChatGPT, and AI assistants via Apify MCP. First-mover advantage with only 5 competing actors.

- **URL**: https://apify.com/fervent\_bus/employment-hero-scraper.md
- **Developed by:** [Archit Khurana](https://apify.com/fervent_bus) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## 🇦🇺 Employment Hero Job Scraper

[![Apify](https://img.shields.io/badge/Apify-Actor-00D4AA?style=for-the-badge\&logo=apify)](https://apify.com/fervent_bus/employment-hero-scraper)
[![Python](https://img.shields.io/badge/Python-3.11-3776AB?style=for-the-badge\&logo=python)](https://www.python.org/)
[![AI Agents](https://img.shields.io/badge/AI_Agents-Compatible-FF6B6B?style=for-the-badge\&logo=openai)](https://github.com/roshtarg-cpu/employment-hero-scraper)
[![MCP](https://img.shields.io/badge/MCP-Ready-4ECDC4?style=for-the-badge)](https://apify.com/integrations)

> 🚀 **First-mover advantage:** Only 5 competing actors on Apify for Employment Hero\
> 🤖 **AI-Ready:** Works seamlessly with Claude Code, ChatGPT, and other AI assistants via Apify MCP\
> 🎯 **Australian Market:** Extract jobs from Australia's leading employment platform

***

### ✨ Features

- 🔍 **Smart Search** — Filter by job title, location, and keywords
- 📊 **Rich Data** — Extract titles, companies, locations, salaries, descriptions, job types
- 🏎️ **Fast & Reliable** — Uses JSON-LD structured data for accurate extraction
- 🤖 **AI-First Design** — Built for Claude Code, ChatGPT, and recruitment automation
- 🌏 **Australian Focus** — Covers jobs across Sydney, Melbourne, Brisbane, and all major cities
- 💰 **Cost-Effective** — $0.005 per job + $0.05 start fee

***

### 🤖 AI Agent Use Cases

Perfect for AI assistants and automation workflows:

#### 🔹 **Recruitment Automation**

```
"Find 50 software engineering jobs in Sydney on Employment Hero"
→ AI agent scrapes and filters relevant positions
→ Builds shortlist with salary data and job descriptions
```

#### 🔹 **Job Market Research**

```
"Compare salaries for data scientist roles across Melbourne and Brisbane"
→ Extracts salary ranges from Employment Hero listings
→ Analyzes market trends by location
```

#### 🔹 **Candidate Matching**

```
"Get all part-time marketing jobs in Adelaide with descriptions"
→ Scrapes job details including requirements
→ Matches candidates to opportunities
```

#### 🔹 **Competitive Intelligence**

```
"Monitor new job postings from [Company X]"
→ Track hiring patterns and expansion signals
→ Alert when competitor posts new roles
```

***

### 📥 Input Configuration

| Field | Type | Description | Example |
|-------|------|-------------|---------|
| `searchQuery` | String | Job title or keyword | `"software engineer"` |
| `location` | String | City or state filter | `"Sydney"`, `"Victoria"` |
| `maxResults` | Integer | Max jobs to scrape (1-500) | `50` |
| `proxyConfiguration` | Object | Apify proxy settings | `{"useApifyProxy": true}` |

#### Example Input

```json
{
  "searchQuery": "data analyst",
  "location": "Melbourne",
  "maxResults": 100
}
```

***

### 📤 Output Schema

Each job listing includes:

```json
{
  "jobTitle": "Senior Data Analyst",
  "company": "Tech Solutions Australia",
  "location": "Melbourne, Victoria, 3000",
  "salary": "$90,000 - $110,000",
  "jobType": "FULL_TIME",
  "description": "We're seeking an experienced data analyst to join our analytics team...",
  "url": "https://employmenthero.com/jobs/position/...",
  "scrapedAt": "2026-08-22T02:55:00.000Z"
}
```

#### Field Descriptions

- **jobTitle** — Job position title
- **company** — Hiring organization name
- **location** — Full address (suburb, state, postcode)
- **salary** — Salary range (if available)
- **jobType** — Employment type (FULL\_TIME, PART\_TIME, CASUAL, etc.)
- **description** — Clean job description (HTML removed)
- **url** — Direct link to job posting
- **scrapedAt** — ISO timestamp of data extraction

***

### 🚀 Quick Start

#### Via Apify Console

1. Open the [actor page](https://apify.com/fervent_bus/employment-hero-scraper)
2. Configure input (search query, location, max results)
3. Click **Start** and download results as JSON, CSV, or Excel

#### Via Apify API

```bash
curl -X POST "https://api.apify.com/v2/acts/fervent_bus~employment-hero-scraper/runs" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQuery": "software engineer",
    "location": "Sydney",
    "maxResults": 50
  }'
```

#### Via Python (Apify Client)

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("fervent_bus/employment-hero-scraper").call(
    run_input={
        "searchQuery": "product manager",
        "location": "Brisbane",
        "maxResults": 100
    }
)

## Fetch results
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['jobTitle']} at {item['company']} - {item['location']}")
```

#### Via JavaScript (Apify Client)

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('fervent_bus/employment-hero-scraper').call({
  searchQuery: 'marketing manager',
  location: 'Sydney',
  maxResults: 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(job => {
  console.log(`${job.jobTitle} - ${job.company} (${job.location})`);
});
```

***

### 🤖 Claude Code / ChatGPT Integration

This actor is **optimized for AI assistants** via [Apify MCP (Model Context Protocol)](https://apify.com/integrations).

#### Example Prompts for AI Agents

**Claude Code:**

```
Use Employment Hero scraper to find 100 tech jobs in Sydney. 
Filter for roles with "Python" in the description and salary > $100k.
Export to CSV.
```

**ChatGPT + Apify:**

```
Scrape Employment Hero for remote marketing jobs across Australia. 
Compare locations by number of openings and average salary.
```

**Custom AI Workflow:**

```python
## In your AI agent code
from apify_client import ApifyClient

def search_jobs(query, location, count=50):
    """AI-callable function to search Employment Hero"""
    client = ApifyClient(os.getenv("APIFY_TOKEN"))
    run = client.actor("fervent_bus/employment-hero-scraper").call({
        "searchQuery": query,
        "location": location,
        "maxResults": count
    })
    return list(client.dataset(run["defaultDatasetId"]).iterate_items())
```

***

### 🎯 Who Is This For?

- **🤖 AI Developers** — Build recruitment bots, job aggregators, salary analyzers
- **📈 HR Teams** — Automate job market research and competitor tracking
- **💼 Recruiters** — Monitor new openings, track hiring trends
- **📊 Data Analysts** — Research employment market trends across Australia
- **🔧 Job Boards** — Aggregate Employment Hero listings into your platform

***

### 🛠️ Technical Details

- **Technology:** Python 3.11 + httpx + BeautifulSoup4
- **Data Source:** JSON-LD structured data (schema.org JobPosting)
- **Protection:** None required (clean server-rendered HTML)
- **Speed:** ~100 jobs per minute
- **Memory:** 1024 MB recommended
- **Proxy:** Optional (included in Apify subscription)

***

### 💰 Pricing

| Event | Price | Description |
|-------|-------|-------------|
| **Job Scraped** | $0.005 | Per job listing extracted |
| **Actor Start** | $0.05 | One-time fee per run |

**Example cost:**

- 100 jobs = $0.05 + (100 × $0.005) = **$0.55 total**
- 500 jobs = $0.05 + (500 × $0.005) = **$2.55 total**

***

### 📚 Additional Resources

- 📖 [Actor Source Code](https://github.com/roshtarg-cpu/employment-hero-scraper)
- 🐛 [Report Issues](https://github.com/roshtarg-cpu/employment-hero-scraper/issues)
- 💬 [Apify Platform Documentation](https://docs.apify.com)
- 🤖 [Apify MCP Integration Guide](https://apify.com/integrations)

***

### 🔗 Related Actors

- **Seek Scraper** — Australia's largest job board
- **Indeed Australia** — International job listings
- **LinkedIn Jobs** — Professional network positions

***

### 📄 License

This actor is provided as-is under the MIT License.

***

### 🚀 Get Started Now

[![Run on Apify](https://img.shields.io/badge/Run_on-Apify-00D4AA?style=for-the-badge\&logo=apify)](https://apify.com/fervent_bus/employment-hero-scraper)

**Compatible with Claude Code, ChatGPT, and AI agents via Apify MCP.**

***

Made with ❤️ for the AI automation community

# Actor input Schema

## `searchQuery` (type: `string`):

Job title or keyword to search for

## `location` (type: `string`):

City or state to filter jobs

## `maxResults` (type: `integer`):

Maximum number of jobs to scrape

## `proxyConfiguration` (type: `object`):

Apify proxy settings

## Actor input object example

```json
{
  "searchQuery": "software engineer",
  "location": "Sydney",
  "maxResults": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `jobTitle` (type: `string`):

Position title

## `company` (type: `string`):

Employer name

## `location` (type: `string`):

Job location (city, state)

## `salary` (type: `string`):

Salary range or rate

## `jobType` (type: `string`):

Employment type (Full-time, Part-time, Casual, etc.)

## `description` (type: `string`):

Full job description

## `url` (type: `string`):

Job posting URL

## `scrapedAt` (type: `string`):

Timestamp when data was collected

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQuery": "software engineer",
    "location": "Sydney",
    "maxResults": 10,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("fervent_bus/employment-hero-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQuery": "software engineer",
    "location": "Sydney",
    "maxResults": 10,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("fervent_bus/employment-hero-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQuery": "software engineer",
  "location": "Sydney",
  "maxResults": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call fervent_bus/employment-hero-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fervent_bus/employment-hero-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/yPqGS2Dh0oawoq6UU/builds/Nn22zCYSvnN39MJ4r/openapi.json