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Enrich Bright Data Web Scraping with Cloud Run Functions
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Web Scraping
Web scraping from Bright Data.
About Cloud Run Functions
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.
Quickly enrich Bright Data Web Scraping with Cloud Run Functions with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Web Scraping
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Step 2
Add Cloud Run Functions to enrich
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
Step 3
That's it! You have just connected Bright Data Web Scraping and Cloud Run Functions
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.