Integrate the Pointerpro API with the Go API

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

Popular Pointerpro 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 Pointerpro#

The Pointerpro API enables automated interactions with Pointerpro's survey platform, allowing developers to create, manage, and analyze surveys without manual intervention. This can streamline feedback collection and data analysis, making it easier to integrate customer insights into business processes. With Pipedream, you can leverage the Pointerpro API to build custom workflows that trigger actions in other apps, based on survey responses or other events, making your data work for you in real-time.

Connect Pointerpro#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pointerpro: {
      type: "app",
      app: "pointerpro",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pointerpro.com/v1/respondents`,
      headers: {
        "Authorization": `API ${this.pointerpro.$auth.api_key}`,
        "Content-Type": `application/json`,
        "Accept": `application/json`,
      },
    })
  },
})

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)
}