Integrate the Guru API with the Go API

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

Popular Guru 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 Guru API on Pipedream enables the automation of knowledge sharing and management tasks within your team or organization. Using this API, you can programmatically interact with Guru's knowledge base, including retrieving card details, creating new cards, and updating existing content. By leveraging Pipedream's serverless platform, you can craft workflows that trigger based on events from other services, process the data, and perform actions in Guru to keep your team's knowledge up to date and accessible.

Connect Guru#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    guru: {
      type: "app",
      app: "guru",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.getguru.com/api/v1/teams`,
      headers: {
        "Accept": `application/json`,
      },
      auth: {
        username: `${this.guru.$auth.username}`,
        password: `${this.guru.$auth.api_key}`,
      },
    })
  },
})

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)
}