Execute SQL Query with PostgreSQL API on New Subscription from YouTube (Data API) API

Pipedream makes it easy to connect APIs for PostgreSQL, YouTube (Data API) and 2,400+ other apps remarkably fast.

Trigger workflow on

New Subscription from the YouTube (Data API) API

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Execute SQL Query with the PostgreSQL API

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Getting Started#

This integration creates a workflow with a YouTube (Data API) trigger and PostgreSQL action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Subscription trigger
1. Connect your YouTube (Data API) account
2. Configure Polling interval
Configure the Execute SQL Query action
1. Connect your PostgreSQL account
2. Configure PostreSQL Query
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Subscription on YouTube (Data API)

Description:Emit new event for each new subscription from authenticated user.

Version:0.0.4

Key:youtube_data_api-new-subscription

View on GitHub

YouTube (Data API) Overview#

The YouTube Data API lets you incorporate functions normally executed on the YouTube website into your own website or application. You can perform operations like searching for videos, retrieving channel data, and managing playlists. When integrated with Pipedream's serverless platform, this API can be part of automations that react to events, synchronize YouTube data with other services, or generate custom reports.

Trigger Code#

import youtubeDataApi from "../../youtube_data_api.app.mjs";
import common from "./common.mjs";

export default {
  ...common,
  type: "source",
  key: "youtube_data_api-new-subscription",
  name: "New Subscription",
  description: "Emit new event for each new subscription from authenticated user.",
  version: "0.0.4",
  dedupe: "unique",
  props: {
    youtubeDataApi,
    ...common.props,
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
YouTube (Data API)	`youtubeDataApi`	`app`	This component uses the YouTube (Data API) app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling interval	`timer`	`$.interface.timer`	Pipedream will poll the YouTube API on this schedule

Trigger Authentication#

YouTube (Data API) uses OAuth authentication. When you connect your YouTube (Data API) account, Pipedream will open a popup window where you can sign into YouTube (Data API) and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any YouTube (Data API) API.

Pipedream requests the following authorization scopes when you connect your account:

emailprofilehttps://www.googleapis.com/auth/youtube.readonlyhttps://www.googleapis.com/auth/youtube.uploadhttps://www.googleapis.com/auth/youtubehttps://www.googleapis.com/auth/youtube.force-ssl

About YouTube (Data API)#

With the YouTube Data API, you can add a variety of YouTube features to your application. Use the API to upload videos, manage playlists and subscriptions, update channel settings, and more.

Action#

Execute SQL Query on PostgreSQL

Description:Execute a custom PostgreSQL query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.

Version:3.0.1

Key:postgresql-execute-custom-query

View on GitHub

PostgreSQL Overview#

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.

Action Code#

import postgresql from "../../postgresql.app.mjs";

export default {
  name: "Execute SQL Query",
  key: "postgresql-execute-custom-query",
  description: "Execute a custom PostgreSQL query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.",
  version: "3.0.1",
  type: "action",
  props: {
    postgresql,
    // eslint-disable-next-line pipedream/props-description
    sql: {
      type: "sql",
      auth: {
        app: "postgresql",
      },
      label: "PostreSQL Query",
    },
  },
  async run({ $ }) {
    const args = this.postgresql.executeQueryAdapter(this.sql);
    const data = await this.postgresql.executeQuery(args);
    $.export("$summary", `Returned ${data.length} ${data.length === 1
      ? "row"
      : "rows"}`);
    return data;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
PostgreSQL	`postgresql`	`app`	This component uses the PostgreSQL app.
PostreSQL Query	`sql`	`sql`

Action Authentication#

PostgreSQL uses API keys for authentication. When you connect your PostgreSQL account, Pipedream securely stores the keys so you can easily authenticate to PostgreSQL APIs in both code and no-code steps.

Connecting to Restricted Databases

Either enable the shared static IP for this account below, or configure a VPC to deploy any workflow in your workspace to a private network with a dedicated static IP. Learn more in our docs.

SSL Setup

Configure SSL on your PostgreSQL database by providing the CA (Certificate Authority), and choosing between Full Verification, Verify Certificate Authority (CA), or Skip Verification. Skipping verification is not recommended as this has serious security implications.