# TikTok comment small-batch sample

**Use case:** 

TikTok comment small-batch sample. Run a compact TikTok sample from startUrls, maxItems, and maxSeconds. Inspect text, url, author, and publishedAt before.

## Input

```json
{
  "startUrls": [
    "https://www.tiktok.com/@abcnews/video/7626166185410825503"
  ],
  "maxItems": 21,
  "maxSeconds": 275
}
```

## Output

```json
{
  "commentId": {
    "label": "Comment ID",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "images": {
    "label": "Images",
    "format": "array"
  },
  "labels": {
    "label": "Labels",
    "format": "array"
  },
  "language": {
    "label": "Language",
    "format": "string"
  }
}
```

## About this Actor

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


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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/reapx/qa-tiktok-comment-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).