TikTok Comments Scraper – Extract TikTok Comments, Replies & Engagement Data

TikTok Comments Scraper

Extract publicly available TikTok comments from TikTok video and post URLs with structured data for comments, replies, likes, commenter profiles, post information, timestamps, and engagement analysis.

This TikTok Comments Scraper is designed for social media research, TikTok analytics, influencer marketing, audience research, sentiment analysis, brand monitoring, competitor analysis, lead research, AI/NLP datasets, and automated data collection.

If you are looking for a TikTok scraper, TikTok comment scraper, TikTok comments scraper, TikTok data scraper, or TikTok comment extractor, this Actor provides a practical way to turn public TikTok comment activity into structured JSON data.

What is a TikTok Comments Scraper?

A TikTok Comments Scraper is a data extraction tool that collects publicly available comments from TikTok videos. Instead of manually opening TikTok videos and copying comments, you can submit TikTok video URLs and automatically collect comment information.

Depending on the available public data, the scraper can collect:

• TikTok comment text
• Comment ID
• Comment URL
• Comment likes
• Number of replies
• Comment creation date
• TikTok video URL
• TikTok post ID
• Post creation date
• Commenter username
• Commenter ID
• Commenter profile URL
• Comment replies
• Collection timestamp
• Original input parameters

The resulting dataset can be used for TikTok analytics, social listening, audience analysis, sentiment analysis, influencer research, marketing research, and AI data processing.

Why use this TikTok Comment Scraper?

TikTok comments contain valuable information about what audiences think, ask, recommend, criticize, and discuss. Collecting this information manually becomes difficult when analyzing many videos.

This TikTok scraper automates comment collection so researchers, marketers, agencies, developers, and businesses can work with structured data instead of manually copying information.

Common tasks include:

• Scrape TikTok comments from video URLs
• Extract TikTok comment text
• Collect comment likes and replies
• Extract TikTok commenter information
• Analyze audience engagement
• Research influencer audiences
• Monitor public brand conversations
• Analyze competitor engagement
• Build TikTok comment datasets
• Perform sentiment analysis
• Prepare NLP and AI datasets
• Export TikTok comments for further analysis

Extract TikTok Comments and Replies

The Actor can collect comments from public TikTok posts and optionally collect comment replies.

Use the collect_replies option when you need threaded conversations.

Example:

{
  "url": "https://www.tiktok.com/@username/video/1234567890",
  "collect_replies": true,
  "num_of_comments": 100
}

Collecting replies is useful for analyzing complete audience conversations, customer questions, discussions, reactions, and community engagement around a TikTok video.

TikTok Scraper Input

Provide a TikTok video or post URL as the input.

{
  "url": "https://www.tiktok.com/@sillybingfilms/video/7568674916636036365",
  "collect_replies": false,
  "num_of_comments": 100
}

Input fields

Field	Description
url	TikTok video or post URL
collect_replies	Collect replies to comments when enabled
num_of_comments	Maximum number of comments to scrape

You can adjust the comment limit depending on the amount of data required for your research or analysis.

TikTok Comments Scraper Output

The Actor returns structured JSON records. Each record can contain the original TikTok post URL, post ID, comment text, comment ID, comment likes, replies, commenter information, and timestamps.

Example:

{
  "post_id": "7568674916636036365",
  "comment_text": "Example TikTok comment",
  "num_likes": 49,
  "num_replies": 1,
  "commenter_user_name": "username",
  "commenter_id": "6711966563379430406",
  "commenter_url": "https://www.tiktok.com/@username",
  "comment_id": "7576019021750649630",
  "replies": [],
  "timestamp": "2026-08-10T11:48:42.661Z"
}

TikTok Comment Data Fields

The scraper can return the following fields:

Field	Description
url	TikTok video URL
post_url	Original TikTok post URL
post_id	TikTok video/post ID
post_date_created	Video creation date
date_created	Comment creation date
comment_text	TikTok comment content
num_likes	Comment likes count
num_replies	Number of replies
commenter_user_name	TikTok username
commenter_id	TikTok user ID
commenter_url	Commenter profile URL
comment_id	Unique comment ID
comment_url	Direct comment URL
replies	Nested replies when collected
timestamp	Scraping timestamp
input	Original input parameters

TikTok Sentiment Analysis

TikTok comments can be used to understand audience opinions and reactions. Exported comment text can be processed with sentiment-analysis, NLP, or AI tools to classify public reactions as positive, negative, neutral, or by custom categories.

Businesses can use comment datasets to research customer feedback, product discussions, campaign reactions, recurring questions, and audience concerns.

TikTok Influencer Research

Influencer agencies and marketing teams can use TikTok comments to understand audience engagement beyond follower counts.

Analyze comments, likes, replies, and commenter activity to research how audiences respond to creator content.

This can support:

• Influencer discovery
• Campaign research
• Audience analysis
• Content research
• Engagement analysis
• Creator comparisons

TikTok Brand Monitoring

Use a TikTok data scraper to collect public comments from relevant videos and analyze discussions around brands, products, services, campaigns, and announcements.

Comment datasets can help identify recurring topics, customer questions, complaints, positive feedback, and emerging discussions.

For continuous monitoring, schedule regular scraping runs and compare datasets over time.

TikTok Competitor Analysis

Collect comments from competitor videos to research audience reactions and engagement patterns.

You can compare:

• Comment volume
• Comment likes
• Reply activity
• Audience discussions
• Frequently mentioned topics
• Public reactions to campaigns
• Content engagement

This information can support social media strategy and competitor research.

AI, NLP and TikTok Comment Datasets

Structured TikTok comments can be useful for data analysis and natural language processing workflows.

Potential applications include:

• Sentiment classification
• Text classification
• Topic detection
• Comment moderation research
• Language analysis
• Audience feedback analysis
• Social listening
• AI research datasets

Always make sure your use of collected data follows applicable laws, privacy requirements, platform rules, and the rights of individuals.

Bulk TikTok Comment Scraping

The Actor supports workflows where multiple TikTok post URLs can be submitted for processing.

Example:

[
  {
    "url": "https://www.tiktok.com/@user1/video/1111111111"
  },
  {
    "url": "https://www.tiktok.com/@user2/video/2222222222"
  },
  {
    "url": "https://www.tiktok.com/@user3/video/3333333333"
  }
]

Bulk collection is useful for researchers, agencies, data analysts, social media teams, and businesses that need to analyze comments across multiple TikTok videos.

TikTok Comment API and Automation

Developers can run the Actor programmatically using the Apify API and integrate TikTok comment data into their own applications and workflows.

A typical workflow is:

1. Submit TikTok video URLs.
2. Start the TikTok Comments Scraper.
3. Collect comments and optional replies.
4. Retrieve the dataset.
5. Export or process the results.
6. Send the data to your application, database, dashboard, or automation workflow.

The resulting data can be used with JSON, CSV, Excel, APIs, databases, analytics platforms, and custom applications.

Export TikTok Comments

Structured results can be exported for further analysis and reporting. Common formats include:

• JSON
• CSV
• Excel
• API dataset results

This makes the scraper suitable for spreadsheets, BI dashboards, data pipelines, research projects, and custom software.

Who can use this TikTok Scraper?

This tool is useful for:

• Social media marketers
• Influencer marketing agencies
• Marketing agencies
• Ecommerce brands
• Researchers
• Data analysts
• AI developers
• NLP engineers
• Social listening teams
• Brand monitoring teams
• Competitor research teams
• Developers building TikTok data applications

TikTok Scraper Keywords and Search Intent

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The content intentionally uses these related search terms naturally instead of repeating the same keyword excessively. Search rankings depend on many factors beyond page text, including relevance, page quality, links, user behavior, authority, and the history of the Actor.

Start Scraping TikTok Comments

If you need a TikTok scraper to extract comments, replies, commenter information, likes, timestamps, and engagement data from public TikTok videos, this Actor provides structured data for research, marketing, analytics, AI, and automation.

Start using the TikTok Comments Scraper here:

https://apify.com/bhansalisoft/tiktok-comment-scraper