Integrate the Directus API with the Go API

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

Popular Directus 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.

Overview of Directus#

Directus is an open-source headless CMS with a rich API that lets you manage content dynamically and distribute it across various channels. Harness Directus API on Pipedream to automate content operations, streamline workflows, and integrate with countless other apps. With real-time capabilities, you can trigger actions on content changes, automate publishing, sync with external databases, and more. Pipedream's serverless platform provides a powerful, flexible way to build custom automations using Directus, without writing complex infrastructural code.

Connect Directus#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    directus: {
      type: "app",
      app: "directus",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.directus.$auth.api_host}/users/me`,
      headers: {
        Authorization: `Bearer ${this.directus.$auth.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)
}