OpenWeather provides comprehensive weather data services, including current, forecast, and historical weather information.
Retrieves the current weather condition by location longitude and latitude. See the docs here. For more accurate reading, you are advised to fill in the country and/or state code
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Retrieves the current weather for a given (ZIP, country)
Retrieves 1-16 days weather forecast for a specified location. See the docs here. For more accurate reading, you are advised to fill in the country and/or state code
Retrieves the 5-day weather forecast for a given (ZIP, country)
The OpenWeather API offers real-time weather data, forecasts, and historical information, enabling you to integrate weather conditions into your applications or workflows. With Pipedream, you can harness this data to automate tasks like sending weather updates, triggering actions based on specific weather conditions, or combining it with other data sources to inform decision-making processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
openweather_api: {
type: "app",
app: "openweather_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.openweathermap.org/data/2.5/weather`,
params: {
zip: `20500,us`,
appid: `${this.openweather_api.$auth.api_key}`,
},
})
},
})
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.
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)
}