Integrate the Starloop API with the Snowflake API

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

Popular Ways to Connect Starloop with Snowflake#

List IDs with Starloop API on New Row from Snowflake API

Snowflake + Starloop

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Send Invite with Starloop API on New Row from Snowflake API

Snowflake + Starloop

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List IDs with Starloop API on New Query Results from Snowflake API

Snowflake + Starloop

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Send Invite with Starloop API on New Query Results from Snowflake API

Snowflake + Starloop

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Insert Multiple Rows with Snowflake API on New Profile Created from Starloop API

Starloop + Snowflake

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Popular Starloop 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 Profile Created from the Starloop API

This source triggers when a new profile is created in Starloop.

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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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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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New Database from the Snowflake API

Emit new event when a database is created

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Popular Starloop and Snowflake Actions#

List IDs with the Starloop API

Returns your business id and a list of all profile id’s and names. See the documentation

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Send Invite with the Starloop API

Creates a new recipient and sends a Starloop invite (Email | SMS | both) to your customer to leave a review. 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 Starloop #

The Starloop API provides a pathway to streamline customer feedback management by allowing the automation of review requests, monitoring of multiple review sites, and analysis of customer sentiment. With Pipedream, you can craft serverless workflows that leverage these capabilities, integrating Starloop's functionalities with other apps and services to amplify your customer relationship strategies.

Connect Starloop #

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    starloop: {
      type: "app",
      app: "starloop",
    }
  },
  async run({steps, $}) {
    const data = {
      "token": `${this.starloop.$auth.api_key}`,
    }
    return await axios($, {
      method: "post",
      url: `https://go.starloop.com/api/list_ids`,
      headers: {
        "Content-Type": `application/json`,
        "accept": `application/json`,
      },
      data,
    })
  },
})

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
  },
})