Tutor LMS

Create, Manage, and Sell eLearning Courses on WordPress

Integrate the Tutor LMS API with the Go API

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

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 Tutor LMS

The Tutor LMS API provides hooks into the Tutor LMS ecosystem, enabling you to automate actions and manage data around courses, lessons, quizzes, and results within the learning management system. With Pipedream, you can build workflows that react to events in Tutor LMS, such as new course enrollments, or that push data to Tutor LMS to create or update resources. Utilizing Pipedream's ability to connect to multiple services, you can synchronize Tutor LMS data with other apps, trigger notifications, and streamline administrative tasks.

Connect Tutor LMS

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tutor_lms: {
      type: "app",
      app: "tutor_lms",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `http://${this.tutor_lms.$auth.url}/wp-json/tutor/v1/courses`,
    })
  },
})

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

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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)
}