Case Study: Zyte accelerates next-generation web scraping with Confluent Cloud

A Confluent Case Study

Preview of the Zyte Case Study

Zyte Accelerates Next-Generation Web Scraping Service with Confluent Cloud

Zyte, formerly Scrapinghub, needed a scalable, reliable way to launch its AI-enabled AutoExtract web scraping service while keeping time to market fast and maintenance low. To support its event-streaming architecture, Zyte chose Confluent Cloud for its Apache Kafka-based backbone on Google Cloud Platform, helping the team avoid managing Kafka infrastructure themselves.

With Confluent Cloud, Zyte deployed a state-of-the-art Kafka cluster in minutes and cut deployment time in half, bringing the full application online within a week. Zyte also reported 100% uptime after launch, lower latency from same-zone deployment, and easier horizontal scaling with expert support from Confluent.


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Zyte

Ian Duffy

DevOps Engineer


Confluent

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