Kafka Streams

Kafka Streams is the lightweight Java library in the Apache Kafka ecosystem for building real-time, event-driven applications. It lets developers:

1. Consume data from Kafka topics.
2. Transform & aggregate it with windowing, joins, and stateful operations.
3. Publish refined streams back to Kafka for downstream services—dashboards, alerting, or AI models.

Why Kafka Streams matters to data collectors

• Low-latency enrichment: Clean and enrich scraped records seconds after capture.
• Scalable exactly-once processing: Guarantees each message is processed once, even across failures.
• No separate cluster required: Runs inside your app—deploy, scale, and monitor like any microservice.

Feeding Kafka Streams with Proxied

When your scraper ingests pages/APIs through Proxied's 4G/5G mobile proxies, you get:

• Fewer gaps: Authentic carrier IPs avoid captchas and bans, so Kafka topics stay filled with complete data.
• Geo-diversity: Capture region-specific events (e.g., localized prices) by rotating IPs across countries.
• Reliability at scale: Each producer node can use unique Proxied credentials, distributing load across our pool.