# Khaby Lame TikTok video comments export

**Use case:** 

The comments under a Khaby Lame TikTok video: comment text, commenter username and display name, like count, reply count, language TikTok detected and time posted. Up to 100 comments in TikTok's own order, ready for a spreadsheet or a sentiment model.

## Input

```json
{
  "videos": [
    "https://www.tiktok.com/@khaby.lame/video/6979606181463526661"
  ],
  "maxCommentsPerVideo": 100,
  "includeReplies": false,
  "monitoringMode": false,
  "resetMonitoringState": false,
  "useProxy": true
}
```

## Output

```json
{
  "text": {
    "label": "Text",
    "format": "string"
  },
  "authorUsername": {
    "label": "Author Username",
    "format": "string"
  },
  "authorNickname": {
    "label": "Author Nickname",
    "format": "string"
  },
  "likeCount": {
    "label": "Like Count",
    "format": "string"
  },
  "replyCount": {
    "label": "Reply Count",
    "format": "string"
  },
  "createdAt": {
    "label": "Created At",
    "format": "string"
  },
  "type": {
    "label": "Type",
    "format": "string"
  },
  "parentCommentId": {
    "label": "Parent Comment Id",
    "format": "string"
  },
  "repliedToUsername": {
    "label": "Replied To Username",
    "format": "string"
  },
  "videoUrl": {
    "label": "Video Url",
    "format": "string"
  },
  "isNew": {
    "label": "Is New",
    "format": "string"
  },
  "isFirstCheck": {
    "label": "Is First Check",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "note": {
    "label": "Note",
    "format": "string"
  },
  "source": {
    "label": "Source",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "string"
  },
  "inputVideo": {
    "label": "Input Video",
    "format": "string"
  },
  "videoId": {
    "label": "Video Id",
    "format": "string"
  },
  "videoCommentCount": {
    "label": "Video Comment Count",
    "format": "string"
  },
  "commentId": {
    "label": "Comment Id",
    "format": "string"
  },
  "repliedToCommentId": {
    "label": "Replied To Comment Id",
    "format": "string"
  },
  "imageCount": {
    "label": "Image Count",
    "format": "string"
  },
  "createTime": {
    "label": "Create Time",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "isPinnedByCreator": {
    "label": "Is Pinned By Creator",
    "format": "string"
  },
  "isLikedByCreator": {
    "label": "Is Liked By Creator",
    "format": "string"
  },
  "authorId": {
    "label": "Author Id",
    "format": "string"
  },
  "authorSecUid": {
    "label": "Author Sec Uid",
    "format": "string"
  },
  "authorProfileUrl": {
    "label": "Author Profile Url",
    "format": "string"
  },
  "requestUrl": {
    "label": "Request Url",
    "format": "string"
  },
  "tiktokStatusCode": {
    "label": "Tiktok Status Code",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [TikTok Comments Scraper & Monitor - Replies, Likes, New Only](https://apify.com/neverempty/tiktok-comments-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/neverempty/tiktok-comments-scraper.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/neverempty/tiktok-comments-scraper.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`).