Integrate the Bitwarden API with the Go API

Setup the Bitwarden API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Bitwarden and Go remarkably fast. Free for developers.

Popular Bitwarden and Go Actions#

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

Try it

Overview of Bitwarden#

The Bitwarden API provides a gateway to interact with your secure vault programmatically, enabling the automation of credential management and security operations. Through Pipedream, you can leverage this API to create workflows that enhance your security practices by integrating with other services, triggering actions based on vault events, or even conducting periodic security audits. By harnessing the Bitwarden API, you can streamline password rotation, audit access, and synchronize secrets across your applications automatically.

Connect Bitwarden#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bitwarden: {
      type: "app",
      app: "bitwarden",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.bitwarden.$auth.base_url}/public/members`,
      headers: {
        Authorization: `Bearer ${this.bitwarden.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of Go#

You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.

Connect Go#

package main

import (
	"fmt"

	pd "github.com/PipedreamHQ/pipedream-go"
)

func main() {
	// Access previous step data using pd.Steps
	fmt.Println(pd.Steps)

	// Export data using pd.Export
	data := make(map[string]interface{})
	data["name"] = "Luke"
	pd.Export("data", data)
}