Scrapinghub

Scrapinghub Accelerates Next-Generation Web Scraping Service with Confluent Cloud

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.

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Wiedergeben

Herausforderung

Accelerate the delivery of a next-generation web scraping service, capable of handling growing customer demand with no downtime.

Lösung

Use Confluent Cloud and Apache Kafka to implement a reliable, scalable event-streaming backbone that links web crawlers with AI-enabled data extraction components.

Ergebnisse

  • Deployment time halved
  • Initial setup completed in minutes
  • 100% uptime post-launch
  • Latencies minimized with no cloud vendor lock-in
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“A key advantage of Confluent Cloud in delivering AutoExtract is time to market. We didn’t have to set up a Kafka cluster ourselves or wait for our infrastructure team to do it for us. With Confluent Cloud we quickly had a state-of-the-art Kafka cluster up and running perfectly smoothly. And if we run into any issues, we have experts at Confluent to help us look into them and resolve them. That puts us in a great position as a team and as a company.”

Ian Duffy

DevOps Engineer at Scrapinghub

Fallstudie lesen

Scrapinghub Accelerates Next-Generation Web Scraping Service with Confluent Cloud

Blog-Beitrag lesen

Why Scrapinghub’s AutoExtract Chose Confluent Cloud for Their Apache Kafka Needs