Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Automated scheduling and retrieval of data collection.
Extract data about articles, categories, and contributors from en.wikipedia.org.
How Datastreamer works
Quickly apply Datastreamer Recurring Data Collection Jobs to Bright Data Wikipedia with a Datstreamer Pipeline.
Enterprise pipelines rely on web data as a key input layer. Whether sourced from strategic partners, internal platforms, or public web endpoints, this data enables seamless integration across business systems.
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.
Add Datastreamer components to your data stack and explore its full capabilities
