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How Datastreamer works
Quickly apply ChatGPT Summarization to Open Measures Odnoklassniki with a Datstreamer Pipeline.
Quickly connect ChatGPT Summarization and Open Measures Odnoklassniki 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.
Apply OpenAI prompts to your data within your pipelines, and add the responses to the metadata.
Open Measures collection on OK(Odnoklassniki) began by aggregating around 5,000 OK group URLs that appeared across the existing collections and fed these into the crawler. The crawler then spiders across these groups by collecting posts, comments and group members.
Add Datastreamer components to your data stack and explore its full capabilities
