YouTube (Data API) - Custom App
Connect to the YouTube Data API with a custom OAuth client
Integrate the YouTube (Data API) - Custom App API with the Snowflake API
Setup the YouTube (Data API) - Custom App API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate YouTube (Data API) - Custom App and Snowflake remarkably fast. Free for developers.
Popular Ways to Connect YouTube (Data API) - Custom App with Snowflake#
Popular YouTube (Data API) - Custom App and Snowflake Triggers#
Popular YouTube (Data API) - Custom App and Snowflake Actions#
Adds resources to a playlist. See the docs for more information
Returns statistics from my YouTube Channel or by id. See the docs for more information
Creates a new top-level comment in a video. See the docs for more information
Creates a playlist. See the docs for more information
Overview of YouTube (Data API) - Custom App#
The YouTube (Data API) - Custom App API on Pipedream lets you wield the vast capabilities of YouTube's platform directly within your automated workflows. Leverage this API to manage channels, playlists, subscriptions, and videos. You can automate video uploads, sync channel data with other platforms, analyze metrics, and engage with your audience without manual intervention. Utilize the power of serverless and event-driven architecture to respond to video events in real-time, enrich your marketing strategies, and maintain an active, data-informed YouTube presence.
Connect YouTube (Data API) - Custom App#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
youtube_data_api_custom_app: {
type: "app",
app: "youtube_data_api_custom_app",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.youtube_data_api_custom_app.$auth.oauth_access_token}`,
},
})
},
})
Overview of Snowflake#
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.
Connect Snowflake#
import { promisify } from 'util'
import snowflake from 'snowflake-sdk'
export default defineComponent({
props: {
snowflake: {
type: "app",
app: "snowflake",
}
},
async run({steps, $}) {
const connection = snowflake.createConnection({
...this.snowflake.$auth,
application: "PIPEDREAM_PIPEDREAM",
})
const connectAsync = promisify(connection.connect)
await connectAsync()
async function connExecuteAsync(options) {
return new Promise((resolve, reject) => {
connection.execute({
...options,
complete: function(err, stmt, rows) {
if (err) {
reject(err)
} else {
resolve({stmt, rows})
}
}
})
})
}
// See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
const { rows } = await connExecuteAsync({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
})
return rows
},
})