Integrate the Canvas API with the Go API

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

Popular Canvas 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 Canvas#

The Canvas API allows you to tap into the power of the Canvas Learning Management System, enabling educators and administrators to automate tasks, synchronize educational tools, and manage courses and users programmatically. It provides endpoints for accessing course information, user details, assignments, and more, which can be incredibly useful for creating customized educational experiences and streamlining administrative workflows. With Pipedream, you can harness these capabilities to trigger actions, connect with other apps and services, and create complex automations without writing extensive code.

Connect Canvas#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    canvas: {
      type: "app",
      app: "canvas",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.canvas.$auth.domain}/api/v1/users/self`,
      headers: {
        Authorization: `Bearer ${this.canvas.$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)
}