Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Collect and extract Amazon product listings and pages content using keywords or domains. Returns matching product information that includes prices, image URLs, availability, descriptions, and more.
This Named Entity Recognition classifier helps reduce the noise in the query results. It extracts the named entity from a short-form English content. The output would cover three classes of entities: Persons, Organization, and Location.
How Datastreamer works
Quickly enrich Bright Data Amazon Products with Datastreamer Entity Recognition 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.
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
