# Comparison dataset: photoshop

**Use case:** 

Udemy Course Scraper configured for comparison dataset around “photoshop”. The saved input exposes queries, maxResults and uses a 20-result target where the...

## Input

```json
{
  "queries": [
    "photoshop"
  ],
  "maxResults": 20
}
```

## Output

```json
{
  "title": {
    "label": "Course Title",
    "format": "text"
  },
  "url": {
    "label": "URL",
    "format": "link"
  },
  "instructor_names": {
    "label": "Instructor(s)",
    "format": "text"
  },
  "rating_avg": {
    "label": "Rating",
    "format": "text"
  },
  "num_reviews": {
    "label": "Reviews",
    "format": "text"
  },
  "num_students": {
    "label": "Students",
    "format": "text"
  },
  "level": {
    "label": "Level",
    "format": "text"
  },
  "content_duration": {
    "label": "Duration",
    "format": "text"
  },
  "is_paid": {
    "label": "Paid?",
    "format": "text"
  },
  "category": {
    "label": "Category",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Udemy Course Scraper - Search Courses by Keyword](https://apify.com/thirdwatch/udemy-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/thirdwatch/udemy-scraper) to learn more, explore other use cases, and run it yourself.


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

- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/thirdwatch/udemy-scraper.md

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).
