Integrate the EverWebinar API with the Go API

Setup the EverWebinar API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate EverWebinar and Go remarkably fast. Free for developers.

Popular EverWebinar and Go Actions#

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 EverWebinar#

The EverWebinar API lets you integrate the power of automated webinar marketing into your own apps and workflows. With EverWebinar, you can schedule and run automated webinars as if they were live, engaging audiences with interactive elements such as polls and chat simulations. Using Pipedream, you can trigger actions based on webinar events, sync participant data with other platforms, and automate follow-up communications, providing a seamless bridge between your webinar activities and other business processes.

Connect EverWebinar#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    everwebinar: {
      type: "app",
      app: "everwebinar",
    }
  },
  async run({steps, $}) {
    const data = {
      "api_key": `${this.everwebinar.$auth.api_key}`,
    }
    return await axios($, {
      url: `https://api.webinarjam.com/everwebinar/webinars`,
      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)
}