# Export YouTube comments with likes and replies

**Use case:** 

Paste YouTube video URLs or IDs and get every comment as a flat row: author, text, like count, reply count, pinned and hearted flags, and publish time, with replies nested under each comment. This example pulls the top 50 comments and their replies from one video. Use it for sentiment analysis, audience research or product feedback. Export to CSV, JSON or Excel.

## Input

```json
{
  "videoUrls": [
    "https://www.youtube.com/watch?v=X-8K5GssZP0"
  ],
  "maxCommentsPerVideo": 50,
  "includeCommentReplies": true,
  "maxRepliesPerComment": 10,
  "commentSortBy": "TOP_COMMENTS",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "videoUrl": {
    "label": "Video URL",
    "format": "string"
  },
  "authorName": {
    "label": "Author",
    "format": "string"
  },
  "text": {
    "label": "Comment",
    "format": "string"
  },
  "likeCount": {
    "label": "Likes",
    "format": "number"
  },
  "replyCount": {
    "label": "Replies",
    "format": "number"
  },
  "isReply": {
    "label": "Is reply",
    "format": "boolean"
  },
  "isPinned": {
    "label": "Pinned",
    "format": "boolean"
  },
  "publishedTimeText": {
    "label": "Published",
    "format": "string"
  },
  "publishedDate": {
    "label": "Published (est.)",
    "format": "string"
  },
  "videoId": {
    "label": "Video",
    "format": "string"
  },
  "commentId": {
    "label": "Comment ID",
    "format": "string"
  },
  "parentCommentId": {
    "label": "Reply to",
    "format": "string"
  },
  "authorChannelId": {
    "label": "Author channel",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The YouTube Comments Scraper - Replies, Likes & Pinned Comments Actor is ready to run with the inputs already set for "Export YouTube comments with likes and replies". [Sign up or log in](https://console.apify.com/create-task-from-example/phpHp9RnK8VHi1Uc2) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Export YouTube comments with likes and replies" task

The YouTube Comments Scraper - Replies, Likes & Pinned Comments Actor will start running based on the input automatically. You can also change all the input fields, like video urls / ids, max comments per video, and more, to match your specific use case.

### 3. Receive the "Export YouTube comments with likes and replies" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as video url, author, comment, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Export YouTube comments with likes and replies" task via API](https://apify.com/skcho/youtube-comment-collector.md).

## About this Actor

This example demonstrates how to use [YouTube Comments Scraper - Replies, Likes & Pinned Comments](https://apify.com/skcho/youtube-comment-collector.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/skcho/youtube-comment-collector.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/skcho/youtube-comment-collector.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).