CrowdPower

Lifecycle automations to keep and convert your customers.

Integrate the CrowdPower API with the Go API

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

The CrowdPower API allows you to automate and streamline customer engagement by creating personalized campaigns and actions based on user behavior. By integrating with Pipedream, you can leverage its serverless platform to connect CrowdPower with hundreds of other apps and services, building workflows that respond to events in real-time. This can optimize how you target customers, manage campaigns, and analyze customer data without manual intervention.

Connect CrowdPower

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    crowdpower: {
      type: "app",
      app: "crowdpower",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.crowdpower.$auth.api_name}.crowdpower.io/v1/projects/63d2e2aab9f2884e7e06f3f9`,
      headers: {
        "Authorization": `Bearer ${this.crowdpower.$auth.application_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

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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)
}