Integrate the BigML API with the Google Sheets API

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

Popular Ways to Connect BigML with Google Sheets#

Add Single Row with Google Sheets API on New Model Created from BigML API

BigML + Google Sheets

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Add Single Row with Google Sheets API on New Prediction Made from BigML API

BigML + Google Sheets

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Add Multiple Rows with Google Sheets API on New Model Created from BigML API

BigML + Google Sheets

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Add Multiple Rows with Google Sheets API on New Prediction Made from BigML API

BigML + Google Sheets

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Get Values with Google Sheets API on New Model Created from BigML API

BigML + Google Sheets

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Popular BigML and Google Sheets Triggers#

New Model Created from the BigML API

Emit new event for every created model. See docs here.

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New Prediction Made from the BigML API

Emit new event for every made prediction. See docs here.

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New Row Added (Instant) from the Google Sheets API

Emit new events each time a row or rows are added to the bottom of a spreadsheet. To use this source with a spreadsheet in a Shared Drive, use the New Row Added (Shared Drive, Instant) source instead.

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New Row Added (Shared Drive, Instant) from the Google Sheets API

Emit new events each time a row or rows are added to the bottom of a spreadsheet in a shared drive

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New Updates (Instant) from the Google Sheets API

Emit new event each time a row or cell is updated in a spreadsheet. To use this source with a spreadsheet in a Shared Drive, use the New Updates (Shared Drive, Instant) source instead.

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Popular BigML and Google Sheets Actions#

Create Batch Prediction with the BigML API

Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.

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Add Single Row with the Google Sheets API

Add a single row of data to Google Sheets

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Create Model with the BigML API

Create a model based on a given source ID, dataset ID, or model ID. See the docs.

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Add Multiple Rows with the Google Sheets API

Add multiple rows of data to a Google Sheet

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Create Source (Remote URL) with the BigML API

Create a source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.

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Connect BigML#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bigml: {
      type: "app",
      app: "bigml",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://bigml.io/andromeda/source`,
      params: {
        username: `${this.bigml.$auth.username}`,
        api_key: `${this.bigml.$auth.api_key}`,
      },
    })
  },
})

Overview of Google Sheets#

Some examples of things you can build using the Google Sheets API include:

A web app that lets users input data into a Google Sheet
A script that automatically updates a Google Sheet with data from another
source
A tool that generates graphs and charts from data in a Google Sheet
A service that sends data from a Google Sheet to another API or application

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.