# Collect source-linked TikTok comment evidence

**Use case:** 

Fetch public comments from TikTok video URLs with author names, timestamps, and source links for evidence collection.

## Input

```json
{
  "postURLs": [
    "https://www.tiktok.com/@stoolpresidente/video/7623818255903329566"
  ],
  "maxCommentsPerPost": 20,
  "maxTotalComments": 20,
  "includeReplies": false,
  "maxRepliesPerComment": 5,
  "maxPagesPerPost": 2,
  "maxReplyPagesPerComment": 3,
  "providerOrder": "scrapecreators-first",
  "trim": true,
  "includeRawData": false
}
```

## Output

```json
{
  "author_username": {
    "label": "Author username",
    "format": "string"
  },
  "text": {
    "label": "Comment text",
    "format": "string"
  },
  "like_count": {
    "label": "Likes",
    "format": "integer"
  },
  "reply_count": {
    "label": "Reply count",
    "format": "integer"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "is_pinned": {
    "label": "Pinned",
    "format": "boolean"
  },
  "created_at": {
    "label": "Posted at",
    "format": "string"
  },
  "provider": {
    "label": "Provider",
    "format": "string"
  },
  "video_url": {
    "label": "Video URL",
    "format": "string"
  }
}
```

## About this Actor

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


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