Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
A targeted TikTok crawling product based on a hundreds of seed hashtags with connections to harmful content. Data field crawled include user profiles and posts, and comments.
How Datastreamer works
Quickly apply Cloud Run Functions to Open Measures TikTok 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.
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.
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.
Add Datastreamer components to your data stack and explore its full capabilities
