Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
WebSightLine file fetcher downloads images into client storage automatically from JSON paths. It is often used to pull the images, files, HTTP pages, and other content associated with documents in a Pipeline. It will pull the files from the provided JSON paths using a powerful proxy network and place the files in the specified storage.
Extract data about articles, categories, and contributors from en.wikipedia.org.
How Datastreamer works
Quickly apply WebSightLine File Fetcher to Bright Data Wikipedia with a Datstreamer Pipeline.
Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
Add Datastreamer components to your data stack and explore its full capabilities
