Copper

CRM Software Solutions Company

Integrate the Copper API with the Go API

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

Copper CRM's API unlocks the potential to streamline customer relationship management through automation and integration. On Pipedream, this means you can leverage event-driven workflows to sync contacts, manage deals, and automate tasks. Think of it as connecting Copper's insights directly to other apps or databases, triggering events in real-time based on CRM updates or capturing fresh leads instantaneously.

Connect Copper

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    copper: {
      type: "app",
      app: "copper",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.prosperworks.com/developer_api/v1/account`,
      headers: {
        "X-PW-AccessToken": `${this.copper.$auth.api_key}`,
        "X-PW-Application": `developer_api`,
        "X-PW-UserEmail": `${this.copper.$auth.email}`,
        "Content-Type": `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

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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)
}