Achieve your fitness goals through customized coaching and actionable tips based on your health and activity history.
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
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}`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});