TikTok Video Scraper for Captions, Sounds, and Metrics
Build One Row per TikTok Video
Keep caption, creator, music, date, and displayed response signals together.
Work with the Video Page You See
Thunderbit reads the caption, creator, music, date, and count labels shown in TikTok instead of fixed positions.
Process Multiple TikTok Video URLs
Provide the TikTok links you want to review. Each accessible page contributes its visible details to one row.
Reuse the Workflow on Other Video Sites
Reuse Thunderbit on other public video pages without writing a new set of CSS selectors.
Collect TikTok Video Details Without Building a Scraper
For caption, creator, music, date, and counts
Manual or selector‑based
What you deal withThunderbit Agent Mode
What changesThe anatomy of one visible TikTok post
A row fills from the caption, creator, sound, date, and counts that the opened video actually shows.
- video_url
- video_id
- caption
- caption_hashtags
- caption_mentions
- caption_urls
- author_username
- author_display_name
- author_profile_url
- author_verified
- author_avatar_url
- music_title
- music_artist
- music_page_url
- music_is_original
- music_cover_url
- view_count
- like_count
- comment_count
- share_count
- bookmark_count
- upload_datetime
- video_duration
- cover_image_url
- captions_available
- is_sponsored
- effect_name
- top_comment_username
- top_comment_text
- top_comment_like_count
Hear how teams shape web data before export
Thunderbit users explain their field choices on video and show why they check the table before analysis.
Questions on TikTok video rows
How Agent Mode works on video pages
Link videos to creators and sounds you view
Collect creator profiles, hashtag feeds, or audio pages you open—then join those rows with your video dataset.
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.
Learn more ->
MeWe Scraper
The Thunderbit MeWe Scraper lets you extract data from MeWe user profiles and group posts with AI-powered field suggestions. Gather profile names, bios, join dates, post content, likes, and comments for research, marketing, or analysis. Ideal for marketers, researchers, and businesses seeking structured MeWe data.
Learn more ->
Parler Scraper
The Thunderbit Parler Scraper lets you extract data from Parler search results and hashtag lists with AI-powered field suggestions. Gather search terms, user posts, hashtags, popularity scores, and more for research, marketing, or content analysis. Ideal for marketers, researchers, and businesses seeking structured Parler data.
Learn more ->
Odnoklassniki Scraper
The Thunderbit Odnoklassniki Scraper lets you extract data from Odnoklassniki groups and game lists with AI-powered field suggestions. Gather group names, descriptions, member counts, game details, ratings, and more for research, marketing, or analysis. Ideal for marketers, researchers, and businesses seeking structured Odnoklassniki data.
Learn more ->
Triller Scraper
The Thunderbit Triller Scraper lets you extract data from Triller blog pages and creator collective profiles. Use AI-powered field suggestions to quickly gather blog titles, publication dates, author names, creator bios, and follower counts for research, marketing, or analysis.
Learn more ->
Mastodon Scraper
The Thunderbit Mastodon Scraper lets you extract data from Mastodon apps and blog pages with AI-powered field suggestions. Gather app names, descriptions, platforms, blog titles, summaries, and publication dates for research, marketing, or analysis. Ideal for developers, marketers, and researchers seeking structured Mastodon data.
Learn more ->Ready to supercharge your data extraction?
Join 200,000+ professionals already using Thunderbit to automate their web scraping workflows.
Free trial provides unlimited credits for 8 webpages.
