elopage

Sales platform and payment processor for your online courses, digital products, memberships, subscriptions and more đź’ˇ

Integrate the elopage API with the Go API

Setup the elopage API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate elopage 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 elopage

The elopage API allows you to automate processes around selling digital products, courses, memberships, and tickets. It provides endpoints to manage products, payments, users, and subscriptions. With Pipedream's serverless workflows, you can construct automations that respond to elopage events or orchestrate complex tasks involving multiple systems, streamlining your digital commerce operations.

Connect elopage

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    elopage: {
      type: "app",
      app: "elopage",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.elopage.com/api/funnels/`,
      params: {
        key: `${this.elopage.$auth.api_key}`,
        secret: `${this.elopage.$auth.api_secret}`,
      },
    })
  },
})

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)
}