# Research audience comments on a YouTube Short

**Use case:** 

Collect 10 top comments from a public 3Blue1Brown Short for fast content research, with author, like, and publishing details.

## Input

```json
{
  "videoUrls": [
    "https://www.youtube.com/shorts/VFbyGEZLMZw"
  ],
  "sort": "top",
  "maxTopLevelCommentsPerVideo": 10,
  "includeReplies": false,
  "maxRepliesPerThread": 0,
  "maxResultsPerVideo": 10,
  "maxTotalResults": 10,
  "includeVideoMetadata": true,
  "includeAuthorDetails": true,
  "includeTextReferences": false,
  "locale": {
    "language": "en",
    "country": "US"
  },
  "cleaning": {
    "decodeHtmlEntities": true,
    "normalizeUnicode": true,
    "normalizeWhitespace": true,
    "removeInvalidControlCharacters": true,
    "trimWhitespace": true
  },
  "maxVideoConcurrency": 4,
  "maxReplyConcurrencyPerVideo": 3,
  "maxRetriesPerRequest": 3,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "debug": false
}
```

## Output

```json
{
  "videoId": {
    "label": "Video ID",
    "format": "string"
  },
  "videoTitle": {
    "label": "Video title"
  },
  "kind": {
    "label": "Kind",
    "format": "string"
  },
  "position": {
    "label": "Output position",
    "format": "integer"
  },
  "authorName": {
    "label": "Author"
  },
  "text": {
    "label": "Comment text",
    "format": "string"
  },
  "likeCount": {
    "label": "Likes",
    "format": "integer"
  },
  "publishedTimeText": {
    "label": "Published time display"
  },
  "commentUrl": {
    "label": "Comment URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [YouTube Comments Scraper with Replies](https://apify.com/sebastian-actors/youtube-comments-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sebastian-actors/youtube-comments-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/sebastian-actors/youtube-comments-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).