Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Extract data about articles, categories, and contributors from en.wikipedia.org.
Covering over 50 Chinese review platforms and over 250 English review platforms, this dataset offers insights into customer satisfaction, product feedback, and consumer trends. Whether it’s understanding how products are received, tracking competitor performance, or identifying areas for improvement, Socialgist Reviews dataset provides the real-world voice of the customer, crucial for market analysis, product development, and brand management.
How Datastreamer works
Quickly connect Bright Data Wikipedia and Socialgist Reviews with a Datstreamer Pipeline.
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.
Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.
Add Datastreamer components to your data stack and explore its full capabilities
