Integrate the Snowflake API with the Google Sheets API

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

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Popular Ways to Connect Snowflake with Google Sheets#

Add Single Row with Google Sheets API on Failed Task in Schema from Snowflake API

Snowflake + Google Sheets

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Add Single Row with Google Sheets API on New Database from Snowflake API

Snowflake + Google Sheets

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Add Single Row with Google Sheets API on New Deleted Role from Snowflake API

Snowflake + Google Sheets

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Add Single Row with Google Sheets API on New Deleted User from Snowflake API

Snowflake + Google Sheets

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Add Single Row with Google Sheets API on New Role from Snowflake API

Snowflake + Google Sheets

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Popular Snowflake and Google Sheets 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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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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New Deleted Role from the Snowflake API

Emit new event when a role is deleted

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Popular Snowflake and Google Sheets Actions#

Add Single Row with the Google Sheets API

Add a single row of data to Google Sheets. See the documentation

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Add Multiple Rows with the Google Sheets API

Add multiple rows of data to a Google Sheet. See the documentation

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Execute SQL Query with the Snowflake API

Execute a custom Snowflake query. See our docs to learn more about working with SQL in Pipedream.

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Get Values in Range with the Google Sheets API

Get all values or values from a range of cells using A1 notation. See the documentation

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Clear Cell with the Google Sheets API

Delete the content of a specific cell in a spreadsheet. See the documentation

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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 snowflake from '@pipedream/snowflake';

export default defineComponent({
  props: {
    snowflake,
  },
  async run({ $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
    
    return this.snowflake.executeQuery({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
      binds: [],
    });
  },
});

Overview of Google Sheets#

The Google Sheets API allows for the creation, reading, updating, and deletion of data within Google Sheets, enabling a robust platform for spreadsheet management and data manipulation. Through Pipedream, you can craft serverless workflows that respond to various triggers, such as webhook events, emails, or scheduled times, to interact with Google Sheets. This synergy can automate reporting, synchronize data across applications, manage inventory, track leads in a CRM, or even conduct survey analysis by updating and retrieving sheet data on the fly.

Connect Google Sheets#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_sheets: {
      type: "app",
      app: "google_sheets",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/oauth2/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.google_sheets.$auth.oauth_access_token}`,
      },
    })
  },
})

Using Event Sources and Workflows: Analyze Twitter Sentiment in Real-Time and Save to Google Sheets

Learn how you can use Pipedream event sources and serverless workflows to listen for new Twitter mentions, analyze the sentiment of each Tweet using the npm sentiment package (https://www.npmjs.com/package/sentiment), and then save that data to Google Sheets in real-time.

Save Zoom Cloud Recordings to Google Drive and Share on Slack

Save Zoom Cloud Recordings to Google Drive and Share on Slack.

Entering Data in Params Forms

Learn about the new model to enter expressions and reference previous step exports in params forms.

Community Posts#

Building a Google Sheets Twitter Bot with Pipedream

This is something that's been kicking around my head for a week or so and today I thought I'd try it. It ended up taking about 20 minutes total and 10 lines of code, of which 5 are a function I copied and pasted. While what I built is kind of trivial, I'm blown away by how much was done by built-in functions with Pipedream and how little work I had to do myself. In fact, most of my time was spent in setting stuff up outside of Pipedream itself. Alright, so what did I build?

Building a Twitter Scheduling System with Pipedream and Google Sheets

A few months ago, I blogged about how I used Pipedream and Google Sheets to create a Twitter bot. The idea was simple - read a sheet - select a random row - and use that as the source of a new Tweet. I was thinking about this recently and how useful Google Sheets can be as a "light weight CMS" and figured out another interesting use case - Twitter scheduling.

Logging user credit changes using Google Sheets and Pipedream

One of the nice features SuperSaaS is a credit system which allows end-users to buy credit once and then easily pay for appointments without needing to go through the checkout each time. There are multiple things that can affect a credit balance. Credit purchases and new appointment, obviously, but also refunds due to canceled appointments, and manual credit adjustments by a superuser. This post is a step-by-step tutorial for setting up the logging of user credit information to a Google Sheet using Pipedream, a powerful API integration service.

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