Integrate the Transistor.fm API with the Go API

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

Popular Ways to Connect Transistor.fm with Go#

Run Go Code with Go API on New Event from Transistor.fm API

Transistor.fm + Go

Try it

Popular Transistor.fm and Go Triggers#

New Event from the Transistor.fm API

Emit new event when the desired event happens

Try it

Popular Transistor.fm and Go Actions#

Create subscriber with the Transistor.fm API

Create a subscriber. See the docs here

Try it

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 Transistor.fm#

Transistor.fm is a platform offering podcast hosting and analytics services. With its API, you can automate the upload and management of podcast episodes, access detailed analytics, and manage users. When interfaced with Pipedream, Transistor.fm's API enables the creation of tailored, serverless workflows that can streamline your podcasting process, engage your audience effectively, and integrate with your digital ecosystem, from social media to email marketing platforms.

Connect Transistor.fm#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    transistor_fm: {
      type: "app",
      app: "transistor_fm",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.transistor.fm/v1`,
      headers: {
        "x-api-key": `${this.transistor_fm.$auth.api_key}`,
      },
    })
  },
})

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)
}