# YouTube comments as a CSV export

**Use case:** 

Ready-to-run example: a flat one-row-per-comment dataset you can export to CSV, JSON or Excel in one click.

## Input

```json
{
  "videoUrls": [
    "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
  ],
  "maxComments": 1000,
  "maxCommentsPerVideo": 0,
  "maxVideosPerSource": 25,
  "sortBy": "top",
  "includeReplies": true,
  "maxRepliesPerThread": 50,
  "enrichComments": false,
  "onlyNewSinceLastRun": false,
  "monitorName": "default",
  "minLikes": 0,
  "filterKeywords": [],
  "onlyQuestions": false,
  "excludeAuthorReplies": false,
  "includeVideoRows": false,
  "emitSummary": false,
  "maxCostUsd": "",
  "hl": "en",
  "gl": "US",
  "useProxy": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "type": {
    "label": "Row"
  },
  "text": {
    "label": "Comment"
  },
  "author": {
    "label": "Author"
  },
  "likeCount": {
    "label": "Likes"
  },
  "likeCountIsApproximate": {
    "label": "Likes approx."
  },
  "replyCount": {
    "label": "Replies"
  },
  "isReply": {
    "label": "Is reply"
  },
  "threadId": {
    "label": "Thread"
  },
  "parentCommentId": {
    "label": "Parent comment"
  },
  "publishedTimeText": {
    "label": "Published"
  },
  "publishedAtApprox": {
    "label": "Published (approx. ISO)"
  },
  "authorIsCreator": {
    "label": "By creator"
  },
  "authorIsVerified": {
    "label": "Verified"
  },
  "isHearted": {
    "label": "Hearted by creator"
  },
  "authorChannelUrl": {
    "label": "Author channel"
  },
  "sentiment": {
    "label": "Sentiment"
  },
  "sentimentScore": {
    "label": "Sentiment score"
  },
  "toxicityScore": {
    "label": "Toxicity signal"
  },
  "isQuestion": {
    "label": "Is question"
  },
  "keywords": {
    "label": "Keywords"
  },
  "language": {
    "label": "Writing system"
  },
  "mentionedTimestamps": {
    "label": "Timestamps cited"
  },
  "videoTitle": {
    "label": "Video"
  },
  "videoUrl": {
    "label": "Video URL"
  },
  "channelName": {
    "label": "Channel"
  },
  "commentId": {
    "label": "Comment id"
  },
  "videoId": {
    "label": "Video id"
  },
  "sortedBy": {
    "label": "Sorted by"
  },
  "scrapedAt": {
    "label": "Scraped at"
  }
}
```

## About this Actor

This example demonstrates how to use [YouTube Comments Export - CSV, JSON & Excel Download](https://apify.com/vonsensey/youtube-comments-export-csv-json-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/vonsensey/youtube-comments-export-csv-json-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).
- **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`.
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- **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/vonsensey/youtube-comments-export-csv-json-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).
