What do you want to automate
with Copper and Go?
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Popular Copper and Go Triggers#
Popular Copper and Go Actions#
Relates an existing project with an existing CRM object. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Creates a new person or updates an existing one based on email address. See the documentation
Creates a new project or updates an existing one based on the project name. See the documentation
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#
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#
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)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies