The YouTube Reporting and YouTube Analytics APIs let you retrieve YouTube Analytics data to automate complex reporting tasks, build custom dashboards, and much more.
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
The YouTube Analytics API enables you to pull complex, insightful data regarding your YouTube channel's performance, audience demographics, and engagement metrics. It's a goldmine for content creators looking to refine their content strategy based on solid data. Using Pipedream, you can automate the extraction of these analytics, set up real-time alerts, or synchronize this data with other tools for enhanced reporting and decision-making.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
youtube_analytics_api: {
type: "app",
app: "youtube_analytics_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.youtube_analytics_api.$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);
},
});