Frappe

Excellence driven software products + services

Integrate the Frappe API with the Go API

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

The Frappe API provides a robust interface to interact with the Frappe Framework, enabling developers to create, read, update, and delete records in Frappe apps, trigger workflows, and handle complex business logic. Leveraging Pipedream's capabilities, you can harness this API to automate tasks, sync data across different platforms, and build powerful serverless workflows that enhance the productivity and efficiency of your business processes.

Connect Frappe

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    frappe: {
      type: "app",
      app: "frappe",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.frappe.$auth.base_url}/api/method/frappe.auth.get_logged_user`,
      auth: {
        username: `${this.frappe.$auth.api_key}`,
        password: `${this.frappe.$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)
}