Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Sentiment analysis answers the question whether the author is positive or negative about something. Tisane sentiment analysis supports 35+ languages, including slang and obfuscated text.
Extract data about articles, categories, and contributors from en.wikipedia.org.
How Datastreamer works
Quickly apply Tisane Sentiment Analysis to Bright Data Wikipedia with a Datstreamer Pipeline.
Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.
Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.
Add Datastreamer components to your data stack and explore its full capabilities
