with Pipedrive and Go?
Adds a new activity. Includes more_activities_scheduled_in_context
property in response's additional_data
which indicates whether there are more undone activities scheduled with the same deal, person or organization (depending on the supplied data). See the Pipedrive API docs for Activities here. For info on adding an activity in Pipedrive
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Pipedrive API on Pipedream allows you to create powerful sales automation and data management workflows. With access to Pipedrive's CRM capabilities, you can automate deal updates, contact management, and sales reporting. Whether you're syncing customer information across platforms or triggering actions based on deal stages, Pipedream makes these integrations seamless.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pipedrive: {
type: "app",
app: "pipedrive",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.pipedrive.$auth.api_domain}/users/me`,
headers: {
Authorization: `Bearer ${this.pipedrive.$auth.oauth_access_token}`,
},
})
},
})
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.
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)
}