Tubular
Sales CRM and pipeline management software for modern collaborative sales teams. Visualise your sales forecast and enjoy the most advanced smart sales reports.
Integrate the Tubular API with the Go API
Setup the Tubular API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Tubular and Go remarkably fast. Free for developers.
Popular Tubular 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 Tubular#
The Tubular API furnishes you with the tools to craft intricate customer relationship management workflows within Pipedream. Utilize it to automate processes, track sales pipeline progress, manage contacts, and gain insights from your sales data. With Tubular's API, you can seamlessly integrate sales data into other systems, establish notifications for sales updates, and much more, making it simpler for teams to collaborate and stay informed on sales activities.
Connect Tubular#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tubular: {
type: "app",
app: "tubular",
}
},
async run({steps, $}) {
const data = {
"query": `{viewer{id fullName}}`,
}
return await axios($, {
method: "post",
url: `https://api.tubular.io/graphql`,
headers: {
"Authorization": `${this.tubular.$auth.api_token}`,
"Content-Type": `application/json`,
},
data,
})
},
})
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)
}