Integrate the Supercast API with the Snowflake API

Setup the Supercast API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Supercast and Snowflake remarkably fast. Free for developers.

Popular Ways to Connect Supercast with Snowflake#

Create a Channel Creator with Supercast API on New Row from Snowflake API

Snowflake + Supercast

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Create an Episode with Supercast API on New Row from Snowflake API

Snowflake + Supercast

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Create a Channel Creator with Supercast API on New Query Results from Snowflake API

Snowflake + Supercast

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Create an Episode with Supercast API on New Query Results from Snowflake API

Snowflake + Supercast

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Create a Channel Creator with Supercast API on Failed Task in Schema from Snowflake API

Snowflake + Supercast

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Popular Supercast and Snowflake Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

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New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

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New Episode Created from the Supercast API

Emit new event when a new episode is created in Supercast. See the documentation

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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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New Question Created from the Supercast API

Emit new event when a new question is created. See the documentation

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Popular Supercast and Snowflake Actions#

Create a Channel Creator with the Supercast API

Creates a new channel creator on Supercast. See the documentation

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Create an Episode with the Supercast API

Creates a new episode on Supercast. See the documentation

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Insert Single Row with the Snowflake API

Insert a row into a table

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Overview of Supercast#

The Supercast API offers the ability to automate interactions with your Supercast account, enabling you to manage subscribers, analyze subscription data, and integrate with other services. With the Supercast API on Pipedream, you can create serverless workflows that trigger from various events, helping to streamline operations, personalize subscriber engagement, and extend the functionality of your podcast subscription service.

Connect Supercast#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    supercast: {
      type: "app",
      app: "supercast",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://supercast.tech/api/v1/users`,
      headers: {
        Authorization: `Bearer ${this.supercast.$auth.access_token}`,
        "Accept": `application/json`,
      },
    })
  },
})

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
  },
})