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To scrape multiple Kubernetes clusters using kube-prometheus-stack, you can follow these steps:

1. Create a kubeconfig file that includes all the Kubernetes clusters you want to scrape. You can either manually create this file or use a tool like kubectx to manage multiple kubeconfig files.

2. Install kube-prometheus-stack on each Kubernetes cluster using the Helm chart. Make sure to set the kubelet.enabled parameter to true in the values.yaml file.

3. In each Prometheus instance, add a new scrape configuration that targets the Kubernetes API servers in each cluster. You can do this by creating a new file in the /etc/prometheus/scrape_configs directory with the following content:

- job_name: 'kubernetes-apiservers'
  kubernetes_sd_configs:
    - api_servers:
        - https://<API_SERVER_ADDRESS_1>
        - https://<API_SERVER_ADDRESS_2>
        - https://<API_SERVER_ADDRESS_3>
      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
  scheme: https
  tls_config:
    ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
  relabel_configs:
    - source_labels: [__meta_kubernetes_namespace]
      target_label: kubernetes_namespace
    - source_labels: [__meta_kubernetes_service_name]
      target_label: kubernetes_name

Replace <API_SERVER_ADDRESS_1>, <API_SERVER_ADDRESS_2>, and <API_SERVER_ADDRESS_3> with the addresses of the Kubernetes API servers in each cluster.

1. Restart the Prometheus server to load the new scrape configuration.

2. Finally, configure Grafana to use the multiple Prometheus instances as data sources. You can do this by adding a new data source for each Prometheus instance and specifying the URL and access credentials.