TikTok Data, Delivered
Public TikTok content and engagement metrics, normalised to the same schema as every other platform we cover and pushed into your stack. Nothing to build, nothing to maintain.
source specification
- Source
- tiktok.com
- Objects
- Videos, Public creator profiles, Hashtag and sound feeds, Comment threads, View and engagement counts
- Formats
- JSON · CSV · Parquet
- Refresh
- Continuous to daily
- Scope
- Public content only
about the platform
What makes TikTok different
TikTok compresses the trend cycle further than any platform before it — a format can go from nothing to saturated inside a fortnight, which makes monthly reporting on it close to useless. Its distinguishing structure is the sound: audio is a first-class object that videos attach to, so a trend can be tracked through the sound it is built on rather than only through hashtags or captions. Because distribution is recommendation-driven rather than follower-driven, view counts on a small account can dwarf those on a large one, and follower count is a much weaker proxy for reach here than anywhere else.
why teams track it
Why TikTok data is worth having
TikTok is where consumer demand is now manufactured, and the gap between a trend appearing and it reaching your sales data is often the whole commercial opportunity. Brand and merchandising teams use it to catch demand spikes early enough to move inventory, and agencies use per-video reach data to price creator work on actual distribution instead of audience size, which on this platform barely predicts it.
Visit tiktok.comapplications
What teams build on TikTok data
Catching a trend while it is still early
Posting velocity on a hashtag or sound tells you a format is accelerating days before it reaches the volume that makes it obvious. On a platform where the cycle runs in weeks, days of lead time is the entire advantage.
Sound-led trend tracking
Tracking the sound rather than the caption catches a trend whose text framing keeps mutating. It is the most reliable identifier TikTok offers, and it has no equivalent on any other network.
Creator selection on reach, not followers
Because distribution is algorithmic, median views per video is a far better predictor of what a partnership will deliver than follower count. Pulling a creator’s recent video history gives you that number directly.
Demand forecasting for inventory
A product format trending here shows up in search and then in orders, in that sequence. Teams that watch the first step get to reorder before the category sells out.
Campaign and hashtag challenge reporting
Every public video carrying a branded hashtag, with views and engagement attached, aggregated into one table instead of assembled from creator screenshots.
Competitive format analysis
Which video formats, hooks, and lengths are working for competitors right now, measured across their whole recent output rather than the three posts they chose to amplify.
what you get back
Fields in the TikTok feed
Platform-specific detail on top of the unified social schema, so a dashboard built on one platform works on the next without a rewrite.
- Video description, hashtags, and mentions
- View, like, comment, share, and save counts
- Attached sound or music identifier, with its own usage count
- Public creator profile — follower, following, and total like counts
- Comment threads with author handle and reply nesting
- Video duration and posting timestamp
Public surfaces only
We collect what a logged-out visitor can see. No authentication is bypassed, no private content is touched, and no attempt is made to deanonymise anyone.
One schema across platforms
A post from any network arrives with the same field names, so adding a platform does not mean rewriting anything downstream.
Deletion propagates
When content is removed at source it drops out of subsequent deliveries, and retention windows on delivered data are configurable per engagement.
related sources
Tracked alongside TikTok
One platform is a partial view. These deliver on the same schema, so combining them is a configuration change rather than a project.
questions
Frequently Asked Questions
Everything you need to know before you send us your first request.
Still have questions?
Talk to an engineerReady to Get Started?
Talk to us about your sources and volume. We'll return a sample dataset from your target sites before you commit to anything.
