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Apply Datastreamer Spam Detection Classifier to Bright Data Facebook
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Spam Detection Classifier
Detect and flag likely spam or fraudulent content in over 200+ languages. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
About Bright Data Facebook
Extract data about profiles, posts, groups, events, marketplace, and more from facebook.com.
Quickly apply Datastreamer Spam Detection Classifier to Bright Data Facebook with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Facebook
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 Datastreamer Spam Detection Classifier with an Operation
Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.
Step 3
That's it! You have just connected Datastreamer Spam Detection Classifier and Bright Data Facebook
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.