Insert Single Row with Snowflake API on New Videos from YouTube (Data API) API

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Trigger workflow on

New Videos from the YouTube (Data API) API

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Insert Single Row with the Snowflake API

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Getting Started#

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

Select this integration
Configure the New Videos trigger
1. Connect your YouTube (Data API) account
2. Configure Maximum Results
3. Configure Polling interval
Configure the Insert Single Row action
1. Connect your Snowflake account
2. Select a Database
3. Select a Schema
4. Select a Table Name
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 Videos on YouTube (Data API)

Description:Emit new event for each new Youtube video the user posts.

Version:0.0.8

Key:youtube_data_api-new-videos

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-videos",
  name: "New Videos",
  description: "Emit new event for each new Youtube video the user posts.",
  version: "0.0.8",
  dedupe: "unique",
  props: {
    youtubeDataApi,
    maxResults: {
      propDefinition: [
        youtubeDataApi,
        "maxResults",
      ],
    },
    ...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.
Maximum Results	`maxResults`	`integer`	The maximum number of results in a channel to return. Should be divisible by 5 (ex. 5, 10, 15).
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#

Insert Single Row on Snowflake

Description:Insert a row into a table

Version:1.1.2

Key:snowflake-insert-row

View on GitHub

Snowflake Overview#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Action Code#

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

export default {
  type: "action",
  key: "snowflake-insert-row",
  name: "Insert Single Row",
  description: "Insert a row into a table",
  version: "1.1.2",
  props: {
    snowflake,
    database: {
      propDefinition: [
        snowflake,
        "database",
      ],
    },
    schema: {
      propDefinition: [
        snowflake,
        "schema",
        (c) =>  ({
          database: c.database,
        }),
      ],
    },
    tableName: {
      propDefinition: [
        snowflake,
        "tableName",
        (c) => ({
          database: c.database,
          schema: c.schema,
        }),
      ],
      description: "The table where you want to add a new row",
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    // Once a user selects the table, display the columns as additional props
    if (this.tableName) {
      const fields = await this.snowflake.listFieldsForTable(this.tableName);
      const defaultValue = {};
      for (const field of fields) {
        defaultValue[field.name] = "";
      }
      props["values"] = {
        type: "object",
        label: "Values",
        description: "Enter the values for each column",
        default: defaultValue,
      };
    }
    return props;
  },
  async run({ $ }) {
    const response = await this.snowflake.insertRow(this.tableName, this.values);
    $.export("$summary", `Successfully inserted row in ${this.tableName}`);
    return response;
  },
};

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
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
Database	`database`	`string`	Select a value from the drop down menu.
Schema	`schema`	`string`	Select a value from the drop down menu.
Table Name	`tableName`	`string`	Select a value from the drop down menu.