# Export YouTube Channel Videos and Shorts

**Use case:** 

Export recent public videos and Shorts from any YouTube channel URL, channel ID, @handle, or username. Get titles, URLs, thumbnails, durations, views, available publication data, and basic channel metadata in a fast structured dataset.

## Input

```json
{
  "channels": [
    "https://www.youtube.com/@NASA"
  ],
  "contentTypes": [
    "videos",
    "shorts"
  ],
  "maxResultsPerType": 3,
  "sortBy": "latest",
  "detailLevel": "basic"
}
```

## Output

```json
{
  "recordType": {
    "label": "Type",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "detailLevel": {
    "label": "Detail level",
    "format": "string"
  },
  "detailStatus": {
    "label": "Detail status",
    "format": "string"
  },
  "thumbnailUrl": {
    "label": "Thumbnail",
    "format": "string"
  },
  "title": {
    "label": "Content title",
    "format": "string"
  },
  "description": {
    "label": "Content description",
    "format": "string"
  },
  "channelName": {
    "label": "Channel",
    "format": "string"
  },
  "channelHandle": {
    "label": "Handle",
    "format": "string"
  },
  "channelDescription": {
    "label": "Channel description",
    "format": "string"
  },
  "liveStatus": {
    "label": "Live status",
    "format": "string"
  },
  "videoId": {
    "label": "Video ID",
    "format": "string"
  },
  "viewCount": {
    "label": "Views",
    "format": "integer"
  },
  "concurrentViewCount": {
    "label": "Watching now",
    "format": "integer"
  },
  "likeCount": {
    "label": "Likes",
    "format": "integer"
  },
  "commentCount": {
    "label": "Comments",
    "format": "integer"
  },
  "durationText": {
    "label": "Duration",
    "format": "string"
  },
  "publishedAt": {
    "label": "Published",
    "format": "string"
  },
  "publishedTimeText": {
    "label": "Published text",
    "format": "string"
  },
  "sortBy": {
    "label": "Ordering",
    "format": "string"
  },
  "sortIndex": {
    "label": "Position",
    "format": "integer"
  },
  "url": {
    "label": "Content URL",
    "format": "string"
  },
  "channelUrl": {
    "label": "Channel URL",
    "format": "string"
  },
  "inputValue": {
    "label": "Input",
    "format": "string"
  },
  "detailErrorMessage": {
    "label": "Detail message",
    "format": "string"
  },
  "errorMessage": {
    "label": "Status message",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [YouTube Channel Videos Shorts and Live Stream Scraper](https://apify.com/arjun_code/youtube-channel-content-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/arjun_code/youtube-channel-content-scraper.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).
- **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/arjun_code/youtube-channel-content-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).
