TikTok publishes its data across four places that do not talk to each other. We bring them together under the same field names, so you can join ads to performance to trends without writing a mapping layer.
Each with its own shape, coverage and blind spots. Bringing them together is the work.
Each question is answered by a different combination of the five sources.
Each actor is launched separately and shares field names with the rest. The last two add keyword search and brand tracking over time.
Downloadable samples for TikTok Search and TikTok Trends (JSON and CSV under /muestras/).
Four open datasets. No account, no token.
They are two different sources and we extract both. The library is the complete register: it tells you what is being advertised. The Creative Center is TikTok's curated showcase of what performs best, and it publishes CTR, likes and campaign objective. One tells you what is advertised; the other, what is working.
We keep the public creator handle, because knowing which creators a brand works with is exactly the value of the data. Name, biography and avatar are dropped — they come back as GDPR Protection in the output. We do not build profiles of people.
TikTok's ad library is a public register the platform maintains under advertising transparency obligations. The rest are pages reachable without an account or credentials. We respect robots.txt and apply rate limits.
Every extraction is an independent run, so that is your call. Typically daily for direct competitors' ads and weekly for category trends.
If you would rather not build the tracking yourself, we deliver the data ready to use or build the extraction around your needs.
Each Actor runs on its own and shares a schema with the rest. Pay per result: no data, no charge.