# TikTok Comments Social Listening Dataset

**Use case:** 

Collect public TikTok comments and replies from selected posts for social listening, topic research, complaints, questions, and audience language.

## Input

```json
{
  "startUrls": [
    "https://www.tiktok.com/@zachking/video/7631200623693729038"
  ],
  "maxCommentsPerVideo": 250,
  "includeReplies": true,
  "maxRepliesPerComment": 10
}
```

## Output

```json
{
  "inputIndex": {
    "label": "Input Position",
    "format": "integer"
  },
  "inputUrl": {
    "label": "Original Input",
    "format": "string"
  },
  "platform": {
    "label": "Platform",
    "format": "string"
  },
  "postUrl": {
    "label": "TikTok Post URL",
    "format": "string"
  },
  "postId": {
    "label": "TikTok Post ID",
    "format": "string"
  },
  "commentId": {
    "label": "Comment ID",
    "format": "string"
  },
  "parentCommentId": {
    "label": "Parent Comment ID",
    "format": "string"
  },
  "replyToCommentId": {
    "label": "Replied-to Comment ID",
    "format": "string"
  },
  "isReply": {
    "label": "Reply",
    "format": "boolean"
  },
  "replyDepth": {
    "label": "Reply Depth",
    "format": "integer"
  },
  "commentIndex": {
    "label": "Collected Comment Position",
    "format": "integer"
  },
  "replyIndex": {
    "label": "Collected Reply Position",
    "format": "integer"
  },
  "text": {
    "label": "Comment Text",
    "format": "string"
  },
  "language": {
    "label": "Comment Language",
    "format": "string"
  },
  "createdAt": {
    "label": "Created At",
    "format": "string"
  },
  "createTime": {
    "label": "Created Time (Unix)",
    "format": "integer"
  },
  "likesCount": {
    "label": "Likes",
    "format": "integer"
  },
  "replyCount": {
    "label": "Public Reply Count",
    "format": "integer"
  },
  "authorId": {
    "label": "Author ID",
    "format": "string"
  },
  "authorHandle": {
    "label": "Author Handle",
    "format": "string"
  },
  "authorDisplayName": {
    "label": "Author",
    "format": "string"
  },
  "authorUrl": {
    "label": "Author URL",
    "format": "string"
  },
  "authorAvatarUrl": {
    "label": "Author Avatar",
    "format": "string"
  },
  "authorVerified": {
    "label": "Verified Author",
    "format": "boolean"
  },
  "isPinned": {
    "label": "Pinned by Creator",
    "format": "boolean"
  },
  "isHeartedByCreator": {
    "label": "Hearted by Creator",
    "format": "boolean"
  },
  "status": {
    "label": "Row Status",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Collected At",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [TikTok Comments Scraper](https://apify.com/chronometrica/tiktok-comments-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/chronometrica/tiktok-comments-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/chronometrica/tiktok-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).
