Integrate the Google Sheets API with the BigML API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Ways to Connect Google Sheets with BigML#

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

BigML + Google Sheets

Try it

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

BigML + Google Sheets

Try it

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

BigML + Google Sheets

Try it

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

BigML + Google Sheets

Try it

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

BigML + Google Sheets

Try it

Popular Google Sheets and BigML Triggers#

New Model Created from the BigML API

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

Try it

New Prediction Made from the BigML API

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

Try it

New Comment (Instant) from the Google Sheets API

Emit new event each time a comment is added to a spreadsheet.

Try it

New Row Added (Instant) from the Google Sheets API

Emit new event each time a row or rows are added to the bottom of a spreadsheet.

Try it

New Updates (Instant) from the Google Sheets API

Emit new event each time a row or cell is updated in a spreadsheet.

Try it

Popular Google Sheets and BigML Actions#

Add Single Row with the Google Sheets API

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

Try it

Create Batch Prediction with the BigML API

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

Try it

Add Multiple Rows with the Google Sheets API

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

Try it

Create Model with the BigML API

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

Try it

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

Try it

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}`,
      },
    })
  },
})

Overview of BigML#

The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.

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}`,
      },
    })
  },
})

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.

Start for free — no credit card required

Watch a demo