Each day thousands of companies and more than a million developers rely on Scrapinghub tools and services to extract the data they need from the web. To strengthen its position as a market leader, Scrapinghub recently launched a new product, AutoExtract, that provides customers with AI-enabled, automated web data extraction at scale. Scrapinghub built AutoExtract on Confluent Cloud running on Google Cloud Platform (GCP), with an Apache Kafka®-based, event-streaming backbone for its service architecture. These technologies were chosen to shorten time to market, and to ensure reliability and scalability.
Accelerate the delivery of a next-generation web scraping service, capable of handling growing customer demand with no downtime.
Use Confluent Cloud and Apache Kafka to implement a reliable, scalable event-streaming backbone that links web crawlers with AI-enabled data extraction components.
Severstal verwendet Confluent Platform, um Daten aus Produktionsstätten zu streamen, Microservices zu integrieren und Modelle für maschinelles Lernen mit Informationen zu füttern, sodass Probleme prognostiziert werden können, bevor sie auftreten.
TiVo arbeitet mit Confluent zusammen, um Daten besser verwalten und nutzen zu können. So knüpfte das Unternehmen an sein Erbe an, die Art und Weise, wie Menschen TV, Filme und Musik erleben, weiter zu revolutionieren.
Ticketmaster Leverages Confluent to Reduce Development Friction and Boost Machine Learning.