TikTok Profile and Video Scraper

TikTok Profile and Video Scraper turns known public profile URLs into structured records that combine account context with recent video details. Each record keeps the profile handle, display name, biography, public profile links and counts alongside the video's caption, hashtags, publication time, media links, music attribution, duration, and visible engagement counts.

This dataset helps teams compare creators and content without manually copying details from separate profile and video pages. Keeping account attributes and video-level signals in the same row makes it easier to review a creator's public positioning, study recurring content themes, and compare how visible videos performed when the data was collected.

Data notes

Records come from publicly accessible TikTok profiles and their visible videos. Each record represents one video and repeats the associated profile context so it can be analyzed independently. “Video ID” is used to identify records across retrieved result pages. Follower, following, like, comment, view, and bookmark counts are source-reported snapshots and can change after collection; they are preserved as text rather than recalculated values. “Post time” is kept in the source-reported date-time form, and the source does not state a timezone. Hashtags are preserved as source text. Cover, download, music, profile-image, and profile-website links may be empty or may stop working later. Private, deleted, restricted, login-only, and otherwise inaccessible profiles or videos are not covered.

What the results look like

Each record is one public TikTok video with its profile context:

The output also includes “Profile URL,” “Profile bio,” “Profile website,” “Profile image URL,” “Follower count,” “Following count,” “Hashtags,” “Comment count,” “Bookmark count,” “Verified indicator,” “Private indicator,” “Cover image URL,” “Video duration,” “Download URL,” “Video ID,” “Video URL,” “Music name,” “Music author,” and “Music URL.”

Use cases

• For creator comparisons, group records by “Account handle” and compare “Follower count” with “Like count,” “Comment count,” and “View count” to understand visible audience size and per-video interaction together.
• For content-theme research, review “Video caption” and “Hashtags” across profiles to identify recurring topics, phrases, and campaign themes.
• For publishing-pattern analysis, compare “Post time” and “Video duration” to see when and in what formats each collected profile publishes.
• For media and source review, use “Video URL,” “Cover image URL,” “Download URL,” and “Music URL” to connect structured records back to the reported public assets.