Successeve

The Lifecycle Management Company. 3 Products: Convert, Retain & Expand and Analyze. Designed to increase your Growth 🚀

Integrate the Successeve API with the Go API

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

The Successeve API is a tool for managing events, attendees, and ticketing. It's built to simplify the process of organizing events and handling participant engagement. On Pipedream, you can leverage this API to automate event-related tasks, sync data with other services like CRM platforms, or trigger communications based on event activities. By connecting Successeve to various apps on Pipedream, you can create seamless workflows to enhance event management efficiency.

Connect Successeve

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    successeve: {
      type: "app",
      app: "successeve",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.salesmachine.io/v1/ping`,
      params: {
        api_token: `${this.successeve.$auth.api_token}`,
      },
    })
  },
})

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)
}