Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Collect and extract TikTok profiles using handles. Returns matching TikTok profiles that include the number of followers, engagement rate, number of likes received, account verification status and more.
This Named Entity Recognition classifier helps reduce the noise in the query results. It extracts the named entity from a short-form English content. The output would cover three classes of entities: Persons, Organization, and Location.
How Datastreamer works
Quickly enrich Bright Data TikTok with Datastreamer Entity Recognition with a Datstreamer Pipeline.
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
Accelerate your web data workflows with Datastreamer. Whether it's enriching, joining, filtering, or storing your data, choose from hundreds of pre-built operations ready to deploy instantly.
Using web data has never been this easy—thanks to Datastreamer. Expand your Pipelines on the fly and overcome the workflow challenges that once slowed you down.
Add Datastreamer components to your data stack and explore its full capabilities
