Social and professional networks
TikTok data extraction
Creator profiles, video performance, hashtags, and sounds for trend detection and influencer measurement.
TikTok performance is decided by view velocity in the first hours, which means a weekly snapshot tells you almost nothing useful.
We deliver creator and video data on a cadence tight enough to see velocity, with hashtag and sound tracking for trend detection.
- Entities
- Creators · Videos · Hashtags · Sounds
- Geography
- Worldwide, by region
- Scope unit
- Creator list, hashtag set, or sound
- Refresh
- Daily; hourly for velocity tracking
- Computed metrics
- Engagement rate and view velocity
- Formats
- JSON · NDJSON · CSV · Parquet
- Delivery
- Postgres · BigQuery · S3 · Webhook · Sheets
- Change tracking
- Follower and view movement
Fields
What you receive.
The usual set. Fields can be added or dropped per project — you pay for what you take.
TikTok fields
13- Creator handle, name, and URL
- Biography and external link
- Follower, following, and like counts
- Follower movement between runs
- Verified flag and account region
- Video caption and publication timestamp
- View, like, comment, and share counts
- Repeated capture for view velocity
- Computed engagement rate
- Hashtags per video
- Sound name, ID, and use count
- Video duration and media URL
- Comment text and author where in scope
Used for
What clients do with TikTok data.
Questions
Asked before.
Can you detect a trend early?
That is what the velocity capture is for: sounds and hashtags sampled repeatedly so acceleration is visible while it is still happening.
How often can you capture video metrics?
Hourly on a focused watchlist. Across a broad creator set, daily is the practical cadence.
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Next step
Get TikTok data running.
Send the fields, the geography, and how fresh it needs to be. You will get back what is achievable and what it costs to run, usually within a day.