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Enrich Open Measures Odnoklassniki with ChatGPT Summarization
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About Open Measures Odnoklassniki
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.
About ChatGPT Summarization
Apply OpenAI prompts to your data within your pipelines, and add the responses to the metadata.
Quickly enrich Open Measures Odnoklassniki with ChatGPT Summarization with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Odnoklassniki
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 ChatGPT Summarization to enrich
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Step 3
That's it! You have just connected Open Measures Odnoklassniki and ChatGPT Summarization
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.