Integrate the Alchemer API with the Go API

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

Popular Alchemer 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 Alchemer#

The Alchemer API facilitates the creation and management of surveys, collection and analysis of responses, and automation of survey-related workflows. With Pipedream, you can harness this API to trigger actions in other applications based on survey events, sync survey data with databases or CRM systems, and even automate follow-up communications based on participant responses. Think of it as a bridge between Alchemer's rich survey feature set and a universe of other apps to streamline your data collection and analysis processes.

Connect Alchemer#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    alchemer: {
      type: "app",
      app: "alchemer",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.alchemer.com/v5/account`,
      params: {
        api_token: `${this.alchemer.$auth.api_key}`,
        api_token_secret: `${this.alchemer.$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#

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)
}