Integrate the WebinarJam API with the Go API

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

Popular WebinarJam 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 WebinarJam#

The WebinarJam API enables the automation of webinar management tasks, allowing users to seamlessly integrate their webinar data with other systems and services. With this API, you can programmatically create and update webinars, register participants, send custom notifications, and more. Leveraging Pipedream's serverless integration platform, you can create workflows that react to WebinarJam events, process data in real-time, and interact with countless other apps to optimize your webinar operations.

Connect WebinarJam#

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