Integrate the Thankster API with the Go API

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

Popular Thankster 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

Overview of Thankster#

The Thankster API lets you automate the sending of personalized, handwritten cards. This is particularly handy for businesses looking to scale their outreach while keeping a personal touch. With Pipedream, you can craft workflows that trigger card creation and dispatch based on various events and conditions. Whether it's a customer's birthday, a follow-up after a service, or a thank you note for a purchase, Pipedream's serverless platform enables you to set up these actions without setting up and managing infrastructure.

Connect Thankster#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    thankster: {
      type: "app",
      app: "thankster",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://www.thankster.com/api/v1/api_projects/listCards`,
      params: {
        api_key: `${this.thankster.$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)
}