Achieve your fitness goals through customized coaching and actionable tips based on your health and activity history.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Google Fit (Developer App) provides a robust API for accessing and storing a user's health and wellness data collected from various devices and apps. With it, you can read and write different types of fitness data, such as steps, calories burned, and heart rate, enabling the development of personalized health dashboards, proactive fitness reminders, and integrative health reports. Using Pipedream, this data can be ingested and combined with other services to automate health tracking, set goals, and even inform healthcare providers or coaching systems of a user's progress.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_fit_developer_app: {
type: "app",
app: "google_fit_developer_app",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_fit_developer_app.$auth.oauth_access_token}`,
},
})
},
})
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)
}