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TikTok Comments - What Your Audience Actually Thinks

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TikTok Comments - What Your Audience Actually Thinks

TikTok Comments - What Your Audience Actually Thinks

"What do people actually think of this video?" Get every TikTok comment and reply with authors, likes and timestamps, so you can read the room instead of guessing.

Pricing

from $1.40 / 1,000 tiktok comment record delivereds

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0.0

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Developer

Tarek Etman

Tarek Etman

Maintained by Community

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2

Total users

1

Monthly active users

4 days ago

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TikTok Comments - What The Audience Really Thinks

"The nested replies are where the real reaction is, and every tool I try drops them."

Comment scrapers truncate nested threads, so the sentiment reported in client decks is only the shallow top-level half. Pull complete comment threads with author details, nested replies, timestamps, sentiment classification, and comment quality flags.

⬇️ Input

Set target video links or creator handles and specify output volume filters.

FieldTypeDescription
videoUrlStringTarget TikTok video URL or profile handle.
maxCommentsIntegerMaximum comment records to extract per run. Default: 25.

⬆️ Output

Each comment item emits a structured JSON record containing full thread text, author details, and computed sentiment fields:

  • sentimentMix: Calculated sentiment classification (positive, neutral, negative).
  • topThemes: Extracted main topic clusters discussed in comment replies.
  • commentQualitySignal: Signal flagging automated engagement pod activity vs organic replies.
  • commentId: Unique TikTok comment identifier (stable per-row key).
  • awemeId: TikTok video identifier associated with comment thread.
  • text: Full text body of comment.
  • authorUsername: TikTok handle of commenter.
  • likeCount: Number of likes received on comment.
  • replyCount: Number of nested replies attached.
  • parentId: Parent comment ID for nested thread replies.
{
"sentimentMix": "positive",
"topThemes": ["pricing inquiries", "feature requests"],
"commentQualitySignal": "Clean - Organic Commenter Mix",
"commentId": "7318596324200385825_1",
"awemeId": "7318596324200385825",
"text": "Where can I buy this exact shade?",
"authorUsername": "beautyfan24",
"likeCount": 142,
"replyCount": 12,
"parentId": "0"
}

How it works

  1. Connects to TikTok video endpoints over HTTP without browser automation.
  2. Parses comment threads, nested replies, author details, and timestamps.
  3. Computes sentimentMix, topThemes, and commentQualitySignal signals across thread cohorts.
  4. Validates each dataset item against schema definitions before emitting output.

❓ FAQ

Are nested replies included in the extraction?

Yes. Unlike tools that drop nested replies, this actor captures complete thread trees including child reply records.

Do I need a TikTok login session?

No login or session cookies are required. Extraction operates on publicly visible web endpoints.

💬 Your feedback

Need custom comment topic clustering or sentiment analysis? Contact us at reapxdev@proton.me.


reapx · reapx.dev · reapxdev@proton.me