# Map Skills Taught Across the LinkedIn Learning Catalog

**Use case:** 

See which skills the LinkedIn Learning catalogue teaches and how deeply: skills per course with level, duration, rating and the full lesson-by-lesson syllabus.

## Input

```json
{
  "mode": "search",
  "queries": [
    "data analysis"
  ],
  "topics": [],
  "sortBy": "RELEVANCE",
  "difficultyLevel": "ANY",
  "entityType": "ANY",
  "duration": "ANY",
  "softwareNames": [],
  "maxItems": 5,
  "expandWithFilters": false,
  "enrichDetails": true,
  "courseUrls": [
    "https://www.linkedin.com/learning/python-essential-training-18764650"
  ],
  "maxConcurrency": 5,
  "requestTimeoutSecs": 40
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "courseUrl": {
    "label": "Course URL",
    "format": "string"
  },
  "difficultyLevel": {
    "label": "Difficulty level",
    "format": "string"
  },
  "skills": {
    "label": "Skills taught",
    "format": "array"
  },
  "ratingValue": {
    "label": "Rating",
    "format": "number"
  },
  "reviews": {
    "label": "Reviews",
    "format": "array"
  },
  "lessonCount": {
    "label": "Lessons",
    "format": "integer"
  },
  "freeLessonCount": {
    "label": "Free lessons",
    "format": "integer"
  },
  "tableOfContents": {
    "label": "Table of contents",
    "format": "array"
  },
  "hasCertificate": {
    "label": "Certificate",
    "format": "boolean"
  },
  "datePublished": {
    "label": "Date published",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Learning API: Course Data, Reviews & Syllabus](https://apify.com/johnvc/linkedin-learning-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/johnvc/linkedin-learning-api.md) 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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/johnvc/linkedin-learning-api.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).
