# YouTube Comment Sentiment Analysis

**Use case:** 

Paste a YouTube video and get up to 1,000 comments with sentiment, the main themes, and the most-replayed moments with what was on screen.

## Input

```json
{
  "urls": [
    "https://www.youtube.com/watch?v=KDorKy-13ak"
  ],
  "maxComments": 1000,
  "maxMoments": 5,
  "topLikedComments": 10,
  "outputLanguage": "English",
  "includeComments": false,
  "maxVideoMinutes": 120,
  "maxConcurrency": 3
}
```

## Output

```json
{
  "videoTitle": {
    "label": "Video title"
  },
  "platform": {
    "label": "Platform"
  },
  "status": {
    "label": "Status"
  },
  "momentMethod": {
    "label": "Moment method"
  },
  "commentsFetched": {
    "label": "Comments fetched"
  },
  "likeWeightedSentiment": {
    "label": "Like weighted sentiment"
  },
  "sentimentSplit": {
    "label": "Sentiment split"
  },
  "oneSided": {
    "label": "One sided"
  },
  "consensus": {
    "label": "Consensus"
  },
  "split": {
    "label": "Split"
  },
  "themes": {
    "label": "Themes"
  },
  "topLikedComments": {
    "label": "Top liked comments"
  },
  "controversialComments": {
    "label": "Controversial comments"
  },
  "moments": {
    "label": "Moments"
  },
  "coverageNote": {
    "label": "Coverage note"
  },
  "notes": {
    "label": "Notes"
  },
  "charged": {
    "label": "Charged"
  },
  "error": {
    "label": "Error"
  }
}
```

## How it works

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

The YouTube & TikTok Comments API – Sentiment Analysis & Moments Actor is ready to run with the inputs already set for "YouTube Comment Sentiment Analysis". [Sign up or log in](https://console.apify.com/create-task-from-example/8zy6897Ab66HasG9n) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "YouTube Comment Sentiment Analysis" task

The YouTube & TikTok Comments API – Sentiment Analysis & Moments Actor will start running based on the input automatically. You can also change all the input fields, like video links, max comments per video, and more, to match your specific use case.

### 3. Receive the "YouTube Comment Sentiment Analysis" 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 title, platform, status, 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 "YouTube Comment Sentiment Analysis" task via API](https://apify.com/tubetext/youtube-tiktok-comments-api.md).

## About this Actor

This example demonstrates how to use [YouTube & TikTok Comments API – Sentiment Analysis & Moments](https://apify.com/tubetext/youtube-tiktok-comments-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/tubetext/youtube-tiktok-comments-api.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/tubetext/youtube-tiktok-comments-api.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`).