# Auren Institute Course Detail  Scraper (`getdataforme/aureninstitute-course-detail-opp-scraper`) Actor

The Auren Institute Course Detail Scraper efficiently extracts comprehensive course data from Auren Institute's website, including titles, descriptions, pricing, and more....

- **URL**: https://apify.com/getdataforme/aureninstitute-course-detail-opp-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** Agents, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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.

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

## Auren Institute Course Detail Scraper

### Introduction

The **Auren Institute Course Detail Scraper** is designed to efficiently extract detailed information about courses offered by the Auren Institute from their website. This tool provides comprehensive data on course titles, descriptions, categories, pricing, and more, enabling users to analyze and utilize this information for various applications.

### Features

- **Comprehensive Data Extraction**: Captures extensive details including course title, description, category, price, and certification.
- **High-Quality Output**: Ensures reliable and accurate data suitable for analysis and reporting.
- **Flexible Input Options**: Allows customization of start URLs to target specific courses or categories.
- **User-Friendly Interface**: Easy setup and execution within the Apify platform.
- **Versatile Applications**: Supports a wide range of use cases from market research to business automation.

### Input Parameters

| Parameter   | Type    | Required | Description                                                                 | Example                                                                 |
|-------------|---------|----------|-----------------------------------------------------------------------------|-------------------------------------------------------------------------|
| startUrls   | array   | Yes      | URLs to start with. These are the initial pages where data extraction begins.| `[{"url": "https://www.aureninstitute.com/course/employment-contracts-survive-tribunal"}]` |

### Example Usage

#### Input JSON

```json
{
  "startUrls": [
    {
      "url": "https://www.aureninstitute.com/course/uk-employment-law-2025-reforms"
    }
  ]
}
```

#### Output JSON

```json
[
  {
    "url": "https://www.aureninstitute.com/course/uk-employment-law-2025-reforms",
    "title": "UK Employment Law: Following the 2025 Reforms - Advanced",
    "description": "Advanced UK-jurisdiction employment law for HR, managers, and leadership operating after Brexit and the Employment Rights Act 2025.",
    "category": "compliance",
    "courseDescription": "This course gives HR teams, managers, and leadership operating in the UK the practical employment-law instincts they need to apply the Employment Rights Act 2025 with confidence...",
    "imageUrl": "https://lwfiles.mycourse.app/69317a66452bac206976fe97-public/fc9dd374d15feaf4b8c38f48fc173592.png",
    "price": {
      "amount": "300",
      "currency": "EUR",
      "salePrice": "300",
      "originalPrice": "450",
      "displayPrice": "\u20ac450"
    },
    "accessType": "Self-Paced Learning",
    "lessons": "6 Lessons",
    "certification": "Certificate of Completion",
    "learningObjectives": [
      "Apply the Employment Rights Act 2025 day-one rights to any new hire decision",
      "Run a UK statutory probation period correctly, with the right notice and review process"
    ],
    "courseBenefits": "Benefits for the Organisation\u2022 Reduce the most common UK tribunal risks...",
    "modules": "Introduction: Welcome & Overview of CourseLesson 1: The Employment Rights Act 2025...",
    "faqs": [
      {
        "question": "Who is this course for?",
        "answer": "Line managers, supervisors, team leads, and operational managers who make day-to-day people decisions without formal HR training."
      }
    ],
    "scrapedAt": "2026-07-14T11:27:07.370Z"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gain insights into course offerings and trends in employment law education.
- **Competitive Intelligence**: Monitor competitor courses for strategic planning.
- **Price Monitoring**: Track pricing changes and promotions on courses.
- **Content Aggregation**: Compile comprehensive data for educational platforms or directories.
- **Academic Research**: Use detailed course information for studies in education and training.
- **Business Automation**: Integrate with systems to automate updates and notifications about new courses.

### Installation and Usage

1. Search for "Auren Institute Course Detail Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters by specifying start URLs.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is a JSON array where each object represents a course with fields such as `url`, `title`, `description`, `category`, `courseDescription`, `imageUrl`, `price`, `accessType`, `lessons`, `certification`, `learningObjectives`, `courseBenefits`, `modules`, `faqs`, and `scrapedAt`. Each field provides specific details about the course, enabling comprehensive analysis.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)

We're here to help you get the most out of this Actor!

# Actor input Schema

## `startUrls` (type: `array`):

URLs to start with.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.aureninstitute.com/course/employment-contracts-survive-tribunal"
    }
  ]
}
```

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

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://www.aureninstitute.com/course/employment-contracts-survive-tribunal"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/aureninstitute-course-detail-opp-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 = { "startUrls": [{ "url": "https://www.aureninstitute.com/course/employment-contracts-survive-tribunal" }] }

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/aureninstitute-course-detail-opp-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 '{
  "startUrls": [
    {
      "url": "https://www.aureninstitute.com/course/employment-contracts-survive-tribunal"
    }
  ]
}' |
apify call getdataforme/aureninstitute-course-detail-opp-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/g8CjvkJGkfrGOYhx3/builds/1Oi4GVCnHO5R0VYwa/openapi.json
