YouTube (Analytics API)
The YouTube Reporting and YouTube Analytics APIs let you retrieve YouTube Analytics data to automate complex reporting tasks, build custom dashboards, and much more.
Integrate the YouTube (Analytics API) API with the PostgreSQL API
Setup the YouTube (Analytics API) API trigger to run a workflow which integrates with the PostgreSQL API. Pipedream's integration platform allows you to integrate YouTube (Analytics API) and PostgreSQL remarkably fast. Free for developers.
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Popular Ways to Connect YouTube (Analytics API) with PostgreSQL#
Popular YouTube (Analytics API) and PostgreSQL Triggers#
Emit new event when a new column is added to a table. See the documentation
Emit new event when a row is added or modified. See the documentation
Emit new event when a new row is added to a table. See the documentation
Emit new event when new rows are returned from a custom query that you provide. See the documentation
Emit new event when a new table is added to the database. See the documentation
Popular YouTube (Analytics API) and PostgreSQL Actions#
Retrieve detailed analytics for a specific video. See the documentation
Fetch summary analytics reports for a specified youtube channel. Optional filters include date range and report type. See the documentation
Execute a custom analytics query using specified metrics, dimensions, filters, and date ranges. Requires query parameters to configure. See the documentation.
Overview of YouTube (Analytics API)#
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.
Connect YouTube (Analytics API)#
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}`,
},
})
},
})
Overview of PostgreSQL#
On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.
Connect PostgreSQL#
import postgresql from "@pipedream/postgresql"
export default defineComponent({
props: {
postgresql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql
const queryObj = {
text: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.postgresql.executeQuery(queryObj);
},
})Trusted by 1,000,000+ developers from startups to Fortune 500 companies