# Scrape Full YouTube Channel Content Details

**Use case:** 

Extract full public metadata from the latest video, Short, and live stream of any YouTube channel. Get descriptions, exact dates when available, durations, views, likes, comment counts, tags, categories, chapters, live status, and basic channel metadata.

## Input

```json
{
  "channels": [
    "https://www.youtube.com/@NASA"
  ],
  "contentTypes": [
    "videos",
    "shorts",
    "streams"
  ],
  "maxResultsPerType": 1,
  "sortBy": "latest",
  "detailLevel": "full"
}
```

## 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).
