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Apply Cloud Run Functions to The Social Proxy SERP Datasets
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
About The Social Proxy SERP Datasets
Scrape Search Engine Result Pages. Obtain real-time information from leading search engines such as Google, Baidu, Bing, and Yandex.
Quickly apply Cloud Run Functions to The Social Proxy SERP Datasets with a Datstreamer Pipeline.
Step 1
Start your Pipeline with The Social Proxy SERP Datasets
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.
Step 2
Add Cloud Run Functions with an Operation
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 Cloud Run Functions and The Social Proxy SERP Datasets
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.