Integrate the AerisWeather API with the Go API

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

Popular AerisWeather 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 AerisWeather#

AerisWeather API offers a vast array of weather data, from current conditions to forecasts and severe weather alerts. Harnessing this data through Pipedream allows for the creation of personalized, automated workflows that react to weather updates in real-time. Whether it's triggering alerts based on weather changes, integrating with smart home systems, or optimizing business operations based on climatic conditions, AerisWeather's rich data sets open up a world of possibilities for automation on Pipedream.

Connect AerisWeather#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    aerisweather: {
      type: "app",
      app: "aerisweather",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `http://api.aerisapi.com/observations/seattle%2Cwa`,
      params: {
        client_id: `${this.aerisweather.$auth.app_id}`,
        client_secret: `${this.aerisweather.$auth.app_secret}`,
      },
    })
  },
})

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)
}