Automating Kafka using Selenium is not a common or straightforward task since Selenium is primarily designed for automating web browsers. Kafka is a distributed messaging system used for handling large-scale data streaming. Automating Kafka typically involves using command-line tools, APIs, or SDKs in languages like Java, Python, or Go.

If you are looking to automate Kafka-related tasks, here are some common automation scenarios and the tools typically used:

1. Kafka Cluster Provisioning: To automate the provisioning of Kafka clusters, you can use configuration management tools like Ansible, Chef, or Puppet. These tools are better suited for infrastructure automation.

2. Topic Creation and Configuration: Kafka provides command-line utilities and APIs (like Java or Python) to create and configure topics. You can write scripts in your preferred programming language to interact with Kafka.

3. Producer and Consumer Automation: To automate producing and consuming messages from Kafka topics, you can use the Kafka Producer and Consumer APIs in Java or the Confluent Kafka Python client. These APIs allow you to create producers that publish messages and consumers that consume messages from topics.

4. Monitoring and Alerting: For monitoring Kafka clusters and setting up alerts, tools like Prometheus and Grafana can be used to collect and visualize Kafka metrics.

If you have specific use cases in mind, please provide more details, and I can guide you on the appropriate tools and approaches for Kafka automation. Keep in mind that Selenium may not be the best choice for Kafka automation due to its web-centric nature.