Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly apply Cloud Run Functions to Bright Data Yahoo Finance with a Datstreamer Pipeline.
Quickly connect Cloud Run Functions and Bright Data Yahoo Finance with a Datstreamer Pipeline.
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
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.
The Custom Function component allows you to write Python functions to manipulate and transform documents within your pipeline. This flexibility enables you to perform a wide range of tasks, from simple data cleaning to merge documents. Whether you're filtering documents, enriching data, or transforming formats, the Custom Function component empowers you to customize your pipeline to meet your specific needs.
Collect and extract Yahoo Finance business overviews using keywords. Returns matching business overviews that include company summary, stock tickers, company stock's closing price of the dat and previous day, range of stock prices during the current trading day, range of stock prices over the the past week and more.
Add Datastreamer components to your data stack and explore its full capabilities
Rapidly create, manage, and deply data pipelines to power your product, using over 38,000+ pre-built, no code capabilities.
