Integrate the Yodiz API with the Go API

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

Popular Yodiz 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

The Yodiz API offers powerful ways to automate project management tasks, streamline issue tracking, and enhance team collaboration. By leveraging Pipedream's capabilities, you can create intricate workflows that react to project updates, synchronize data with other apps, and manage tasks without manual intervention. With access to Yodiz's endpoints, you can automate notifications, integrate with external databases, or even orchestrate complex cross-application workflows. It's a playground for developers looking to optimize their project management operations.

Connect Yodiz#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    yodiz: {
      type: "app",
      app: "yodiz",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.yodiz.com/api/rest/v1/projects?fields=all`,
      headers: {
        "api-key": `${this.yodiz.$auth.api_key}`,
        "api-token": `${this.yodiz.$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)
}