AI-Powered Web Scraping

TikTok Comments Scraper

Find and export TikTok comments by username or video with One Click Extract—capture comment text, usernames, likes, replies, and timestamps as structured data, with no code or selector setup.

Need more ways to scrape at scale?

A quick playground: Try it yourself.

Collect TikTok comment threads without manual copy-paste

Start with a video list, reuse Thunderbit elsewhere, and add profile details only when they matter.

Process a list of TikTok videos

Paste the public video URLs you want to study. Thunderbit collects visible comments, usernames, likes, replies, and timestamps into one table instead of opening every video by hand.

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Use the same scraper beyond TikTok

When the research moves to another social network or website, keep using Thunderbit. AI recommends fields from the page in view, so each source does not need its own scraper.

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Add public profile details from subpages

Use subpage scraping when commenter profiles matter. Thunderbit can visit accessible profile links and append visible IDs, bios, or follower counts without forcing that extra context into every project.

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TikTok comments should not require a fragile scraper

Dynamic feeds and replies create upkeep for selector-based tools. Thunderbit AI reads the page.

Rules built around TikTok's layout

Comment collection becomes maintenance
Selectors target fixed comment positions
Scrolling needs custom wait logic
Reply threads require extra mapping
Video lists need manual URL handling
One Click Extract

Comment rows prepared by Thunderbit AI

The agent reads the open video
Visible comment fields are recommended automatically
Dynamic loading is handled in the browser
Replies stay linked when TikTok displays them
Multiple videos feed one structured export

Fields for TikTok comment research

Capture visible comments, replies, and selected video or creator context. Deleted, hidden, or unloaded data is not reconstructed.

  • Comment ID
  • Comment Text
  • Comment Create Time
  • Comment Like Count
  • Comment Reply Count
  • Parent Comment ID
  • Commenter Display Name
  • Commenter Username
  • Commenter Profile URL
  • Creator-Liked Indicator
  • Pinned Comment Indicator
  • Top-Level or Reply Label
  • Video ID
  • Video URL
  • Video Description
  • Video Create Time
  • Video Creator Username
  • Video Creator Display Name
  • Video Creator Profile URL
  • Video Creator Verification Status
  • Video Creator Bio
  • Video Duration
  • Music ID
  • Video Hashtags
  • Mentioned Users
  • Video View Count
  • Video Like Count
  • Video Comment Count
  • Video Share Count
  • Reply Thread URL

Watch marketers and researchers put Thunderbit to work

In these user videos, real projects move from repetitive browsing to structured data that is ready to review.

TikTok comment scraper questions

How visible threads, video context, and privacy boundaries are handled.

Compare conversations across TikTok videos

Build a relevant video set first, then add visible comments and reply threads to the clips that matter.

Minds Scraper

Minds Scraper

The Thunderbit Minds Scraper lets you extract data from Minds newsfeeds and group members with AI-powered field suggestions. Gather post titles, author names, likes, comments, and group member details for research, marketing, or community analysis. Export structured Minds data quickly and efficiently.

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MeWe Scraper

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