Tiktok Comments Scraper

TikTok Comments Scraper 🔍

TikTok Comments Scraper extracts comments from TikTok videos and saves the results directly into your Apify dataset—so you can analyze engagement at scale without manual copy-pasting. Whether you're a marketer, social media analyst, researcher, or data enthusiast, this TikTok comments scraper tool helps you scrape TikTok comments and build structured datasets for reporting and insights, saving you hours of manual work.

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Why choose TikTok Comments Scraper?

Feature	Benefit
✅ All-in-one comments collection	Extracts TikTok user comments (text, IDs, timestamps, likes, and more) for multiple video URLs in one run
✅ Built-in reliability logic	Includes retries and fallback behavior to handle transient failures during extraction
✅ Configurable limits per video	Controls how many comments and replies you collect to match your budget and analysis needs
✅ Structured output for analysis	Outputs consistent JSON records with fields like createTimeISO, diggCount, uniqueId, and cid
✅ Live data appending to Apify datasets	Saves results as they’re scraped, reducing the risk of losing data mid-run
✅ Built-in proxy support	Supports Apify proxy configuration for more reliable scraping runs

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Key features

• 🎯 Purpose-built for TikTok video comments: Collects comment text and key engagement signals from each provided video URL
• 🧾 Structured comment records: Produces clean fields like videoWebUrl, text, createTimeISO, and diggCount for easy downstream use
• 🛡️ Resilience with error handling: Handles timeouts and transient failures with retries and controlled stopping conditions
• 🔄 Reply-aware data collection: Includes settings to cap replies per comment (maxRepliesPerComment)
• 💾 Real-time dataset saving: Pushes each scraped comment directly to the Apify output dataset during execution
• 🌐 Supports multiple input URL formats: Accepts video URLs you provide in postURLs (including direct and shortened links)
• 📊 Engagement & identity fields included: Captures replyCommentTotal, uniqueId, uid, and avatarThumbnail for richer analytics

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Input

Provide input via an input.json file. Example structure:

{
  "postURLs": [
    "https://www.tiktok.com/@voicer_nayem_69/video/7576465859598634258"
  ],
  "commentsPerPost": 100,
  "topLevelCommentsPerPost": 5,
  "maxRepliesPerComment": 0
}

Input Fields

Field	Required	Description
postURLs	Yes	List of TikTok video URLs to scrape. Use single video URLs or user's video URLs.
commentsPerPost	No	Maximum number of comments to scrape per video. Default is 100 and minimum is 1.
topLevelCommentsPerPost	No	Maximum number of top-level comments to scrape per video. Default is 5 and minimum is 0.
maxRepliesPerComment	No	Maximum number of replies to scrape per comment. Default is 0 and minimum is 0.

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Output

The actor pushes extracted comments to the default Apify dataset “Extracted Comments” as individual JSON records.

Example output record

{
  "videoWebUrl": "https://www.tiktok.com/@x/video/VIDEO_ID",
  "submittedVideoUrl": "https://www.tiktok.com/@x/video/VIDEO_ID",
  "input": "https://www.tiktok.com/@x/video/VIDEO_ID",
  "cid": "COMMENT_ID",
  "createTime": 1712345678,
  "createTimeISO": "2025-06-01T04:28:40.000Z",
  "text": "This is a comment text",
  "diggCount": 123,
  "likedByAuthor": false,
  "pinnedByAuthor": false,
  "repliesToId": "REPLY_TO_COMMENT_ID",
  "replyCommentTotal": 2,
  "uid": "USER_ID",
  "uniqueId": "username",
  "avatarThumbnail": "https://example.com/avatar.jpg",
  "mentions": ["@someone"],
  "detailedMentions": [
    {
      "userId": "USER_ID",
      "secUid": "SEC_UID",
      "uniqueId": "someone",
      "start": 0,
      "end": 8
    }
  ]
}

Output Fields

Field	Type	Description
videoWebUrl	string	Canonical TikTok video URL associated with the comment
text	string	The comment text
createTimeISO	string	Comment creation time in ISO format (UTC)
diggCount	number	Number of likes for the comment
replyCommentTotal	number	Total number of replies for the comment
uniqueId	string	Username of the commenter
uid	string	User ID of the commenter
cid	string	Comment ID
avatarThumbnail	string	URL to the commenter’s avatar thumbnail
submittedVideoUrl	string	The video URL value you submitted in postURLs (as received by the actor)
input	string	Echoes the input video URL
createTime	number	Comment creation time as a Unix timestamp
likedByAuthor	boolean	Whether the comment is liked by the video author (is_author_digged)
pinnedByAuthor	boolean	Whether the comment is pinned by the video author (author_pin)
repliesToId	string | null	If the comment is a reply, this contains the reply_id (otherwise null)
mentions	array	Extracted mention strings found in the comment text
detailedMentions	array	Structured mention objects with offsets and user identifiers

Note: The actor also uses additional internal fields not shown in the dataset table transformation, but the dataset will reflect the fields listed in the “Extracted Comments” transformation: videoWebUrl, text, createTimeISO, diggCount, replyCommentTotal, uniqueId, uid, cid, avatarThumbnail.

You can export your Apify dataset to JSON or CSV from the Apify UI after the run completes.

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How to use TikTok Comments Scraper (via Apify Console)

1. Open Apify Console
   Log in at https://console.apify.com and go to the Actors tab.

2. Find the actor card
   Search for TikTok Comments Scraper and open the actor details page.

3. Paste your input
   In the INPUT section, provide postURLs (a list of TikTok video URLs). Optionally set commentsPerPost, topLevelCommentsPerPost, and maxRepliesPerComment.

4. (Optional) Configure proxy support
   If you see proxy configuration options, use them to help with reliable extraction—especially for bulk runs. The actor supports proxy usage via Apify proxy configuration.

5. Start the run
   Click Run. Watch the logs for progress messages while comments are being scraped and appended to the dataset.

6. Monitor for resilience signals
   If requests time out or return non-200 responses, the actor uses error handling and controlled retries/fallbacks. The run stops when it reaches your limits or when no more comments are returned.

7. Open your dataset output
   After completion, go to the OUTPUT tab and open the dataset “TikTok Comments” → “Extracted Comments”.

8. Export results
   Export to JSON or CSV from the dataset view for analysis, reporting, or pipeline ingestion.

No coding required—get TikTok comments extracted and structured in minutes with this TikTok comments collector.

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Advanced features & SEO optimization

• 🧠 Engineered for “TikTok comments scraper” workflows: Tuned for use cases like TikTok comment analytics scraper projects and hashtag- or campaign-level aggregation
• 🔄 Controlled collection limits: Use commentsPerPost, topLevelCommentsPerPost, and maxRepliesPerComment to match what you need (and avoid unnecessary volume)
• 🕒 Resilience-oriented execution: Includes retries and pacing to handle intermittent issues during large scraping sessions
• 🌐 URL resolution support: Handles short-link style inputs by resolving to a canonical video URL before extracting comments
• 📊 Rich comment context: The output includes engagement signals (diggCount, replyCommentTotal) and identity fields (uniqueId, uid, avatarThumbnail) useful for deeper analytics

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Best use cases

• 📈 Marketing teams building engagement reports: Collect TikTok video comments to quantify sentiment themes and interaction patterns across multiple posts
• 🔎 Social media researchers: Scrape TikTok user comments into a structured dataset to support analysis and documentation
• 🎯 Influencer and brand outreach: Use extracted comment mentions and user identifiers to map community activity around specific creators
• 🧾 Content performance analysts: Track comment volume and engagement signals (diggCount, replyCommentTotal) to compare posts over time
• 🏗️ Data analysts creating TikTok comments API-like pipelines: Ingest dataset outputs into your BI tools for dashboards and recurring reporting
• 🧪 Product and community insights: Gather comment text and mention data to spot recurring requests, topics, and questions
• 💼 Lead generation ops (ethics-first): Use TikTok comments extraction software outputs as signals for segmentation and research workflows

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Technical specifications

• Supported Input Formats

  • ✅ postURLs: array of TikTok video URLs (direct or short-link style URLs supported)
  • ✅ Limits available via commentsPerPost, topLevelCommentsPerPost, maxRepliesPerComment

• Proxy Support

  • ✅ Uses proxy configuration from actor input (built-in proxy support for more reliable scraping runs)

• Retry Mechanism

  • ✅ Includes retries and stops after consecutive failures exceed a threshold while continuing until collection limits are reached

• Dataset Structure

  • ✅ Default dataset: “TikTok Comments”
  • ✅ Dataset view: “Extracted Comments” with table fields: videoWebUrl, text, createTimeISO, diggCount, replyCommentTotal, uniqueId, uid, cid, avatarThumbnail

• Rate Limits & Performance

  • ⚠️ Performance depends on video size and responsiveness; the actor includes delays between requests to reduce blocking risk.

• Limitations

  • ❌ Output depends on what is publicly available for the provided videos
  • ❌ Extremely large extraction runs can take longer and may require careful limit tuning

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FAQ

What does TikTok Comments Scraper output?

✅ It outputs one JSON record per scraped comment into the Apify dataset, including fields like videoWebUrl, text, createTimeISO, diggCount, replyCommentTotal, uniqueId, uid, cid, and avatarThumbnail.

Can I scrape comments from multiple TikTok videos in one run?

✅ Yes. Provide multiple URLs in postURLs, and the actor will process each one and append results to the dataset during execution.

How do I limit how many comments the actor collects?

✅ Use commentsPerPost for the maximum comments per video. You can also set topLevelCommentsPerPost and maxRepliesPerComment to cap top-level comments and replies.

Does it support proxy configuration for more reliable scraping?

✅ Yes. The actor is designed with built-in proxy support for reliable scraping runs using proxy configuration from the input.

Where can I export TikTok comments after the run?

✅ After execution, open the dataset in the Apify OUTPUT tab and export the records (JSON or CSV) from the dataset view.

Do I need to write any code to use this TikTok comments scraper?

✅ No. You can run it directly in Apify Console by providing postURLs and optional limit settings in the INPUT section.

Is this tool collecting data from private or authenticated pages?

❌ No. It is intended for scraping data from publicly available sources only.

Is there a minimum required input?

✅ Yes. postURLs is the only required input field.

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Support & feature requests

Want to improve TikTok Comments Scraper or report an issue? 💬 Share feedback with us at any time.

• 💡 Feature Requests: For example, enhancements like additional export options (CSV/JSON variations), more dataset fields, or deeper controls for how comment content is structured.
• 📧 Contact: Send a message to dataforleads@gmail.com.

Your feedback directly shapes the roadmap for this TikTok comments download and analytics-focused workflow.

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Closing CTA / Final thoughts

Get the most comprehensive TikTok Comments Scraper experience for extracting TikTok comments into a ready-to-analyze dataset—built for speed, structure, and scale. If you’re looking for a TikTok comment scraper tool that makes bulk extraction practical, this is your next run.

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Disclaimer

This tool only accesses publicly accessible sources. It does not access private profiles, password-protected content, or authenticated data. It’s your responsibility to comply with applicable laws (including GDPR/CCPA where relevant), spam regulations, and platform terms of service.

For data removal requests, contact dataforleads@gmail.com. Please use this tool responsibly, ethically, and for legitimate purposes only.