# HealthcareJobs.ie Scraper (`phazonoverload/healthcarejobs-scraper`) Actor

\[Unofficial] Scrapes job listings from healthcarejobs.ie with support for keyword search, location filtering, and all dropdown filters (Workplace, Employment type, Sector, Career area, Occupations, Shifts, Band, Company).

- **URL**: https://apify.com/phazonoverload/healthcarejobs-scraper.md
- **Developed by:** [Kevin Lewis](https://apify.com/phazonoverload) (community)
- **Categories:** Jobs
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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

## HealthcareJobs.ie Scraper

An [Apify Actor](https://apify.com/actors) that scrapes job listings from [healthcarejobs.ie](https://www.healthcarejobs.ie/).

### Features

- **Keyword Search** — Search by job title, skills, or keywords
- **All Dropdown Filters** — Workplace, Employment Type, Sector, Career Area, Occupation, Shifts, Band, and Company
- **Location Filter** — Text-based post-filter on job addresses
- **Pagination** — Handles result pagination automatically
- **Comprehensive Data** — Extracts job title, organization, salary, address, remote options, career area, occupation, shifts, band, registration requirements, and more

### How It Works

The actor uses the GraphQL API (`backend.healthjobs.co.uk/graphql`) that powers the healthcarejobs.ie search. By including the `jobiqo-frontend: frontend=healthcarejobs; locale=en` header, results are filtered to Ireland-only listings (the same way the website does).

### Input Parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `keyword` | string | (empty) | Search keyword (e.g., "nurse", "doctor", "pharmacist") |
| `location` | string | (empty) | Text to match against job addresses (e.g., "Dublin", "Cork"). Note: this is a text-based post-filter. |
| `maxResults` | integer | 100 | Maximum number of jobs to scrape (0 = unlimited) |
| `proxy` | object | Apify proxy | Proxy configuration |
| `filters.workplace` | select | Any | Onsite, Hybrid, Remote, Field-based |
| `filters.employmentType` | select | Any | Full time, Part time, Permanent, etc. |
| `filters.sector` | select | Any | Healthcare Staffing Agency, Private Healthcare, Care Homes, etc. |
| `filters.careerArea` | select | Any | Nursing, Mental Health Nursing, Community Nursing, etc. |
| `filters.occupation` | select | Any | Registered Nurse, Staff Nurse, Nurse Practitioner, etc. |
| `filters.shifts` | select | Any | Day shift, Night shift, 12 hour shift, etc. |
| `filters.band` | select | Any | Band 3–8c |
| `filters.company` | string | (empty) | Company name (e.g., "CPL Healthcare", "Pulse Healthcare") |

### Output Data

Each job record includes:

```json
{
  "id": 219457,
  "title": "Director of Nurse Education",
  "organization": "CPL Healthcare",
  "organizationProfile": {
    "id": 5348,
    "name": "CPL Healthcare",
    "url": "https://www.healthcarejobs.ie/organization/cpl-healthcare"
  },
  "url": "https://www.healthcarejobs.ie/job/director-nurse-education-219457",
  "published": "2026-07-13T19:14:01+01:00",
  "formattedPublished": "Published 3 days ago",
  "expiration": "2026-08-07T15:40:58+01:00",
  "duration": 22,
  "address": ["Cork, Co. Cork, Ireland"],
  "salaryRange": {
    "minSalary": "72000.000000",
    "maxSalary": "72000.000000",
    "currency": "EUR",
    "unit": "YEAR"
  },
  "remoteOptions": [{"id": 6225, "label": "Onsite"}],
  "careerArea": [{"id": 29424, "label": "Nursing"}],
  "occupationalField": [{"id": 8266, "label": "Director Of Nursing"}],
  "shifts": [],
  "band": [],
  "registration": [],
  "isFeatured": false,
  "isHighlight": false,
  "isTopJob": false,
  "applicationWorkflow": "quick"
}
```

### Local Development

```bash
npm install
npm start
```

The actor reads input from `.actor/INPUT.json` (or `storage/key_value_stores/default/INPUT.json`).

# Actor input Schema

## `keyword` (type: `string`):

Search keyword (e.g., 'nurse', 'doctor', 'pharmacist'). Leave empty for all jobs.

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

Text to match against job address field (e.g., 'Dublin', 'Cork', 'Ireland'). Note: this is a text-based post-filter on job addresses.

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

Maximum number of job listings to scrape. Use 0 for all results (unlimited).

## `proxy` (type: `object`):

Apify proxy configuration for the scraper.

## `filters` (type: `object`):

Dropdown filter selections from the website.

## Actor input object example

```json
{
  "maxResults": 100,
  "proxy": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "proxy": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("phazonoverload/healthcarejobs-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 = { "proxy": { "useApifyProxy": True } }

# Run the Actor and wait for it to finish
run = client.actor("phazonoverload/healthcarejobs-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 '{
  "proxy": {
    "useApifyProxy": true
  }
}' |
apify call phazonoverload/healthcarejobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=phazonoverload/healthcarejobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/tP4iOzVecuOjaaIy8/builds/J2bx1xBiNqxna6YsM/openapi.json