Close
Inside Sales Software CRM with Calling & Emailing
Integrate the Close API with the Go API
Setup the Close API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Close and Go remarkably fast. Free for developers.
Popular Close and Go Triggers#
Emit new event when configured type of events triggered, See all possibilities
Popular Close and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Close#
The Close API provides access to a robust CRM platform, enabling users to automate sales processes, manage leads, and track communication history. Harnessing the Close API within Pipedream's ecosystem allows for the creation of custom, serverless workflows that can react in real-time to events, synchronize data across apps, and streamline sales operations. By leveraging Pipedream's capabilities, you can trigger actions based on Close events, manipulate Close data, and integrate with countless other services to amplify your CRM's functionality.
Connect Close#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
close: {
type: "app",
app: "close",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.close.com/api/v1/me/`,
auth: {
username: `${this.close.$auth.api_key}`,
password: ``,
},
})
},
})
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)
}