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Apply Datastreamer Ingredient Detection Classifier to Bright Data Web Scraping
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Ingredient Detection Classifier
Detect and classify ingredients used in products, including the fabrics, minerals and materials, 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.
Quickly apply Datastreamer Ingredient Detection Classifier to Bright Data Web Scraping with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Web Scraping
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 Datastreamer Ingredient Detection Classifier with an Operation
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 Datastreamer Ingredient Detection Classifier and Bright Data Web Scraping
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.