Big Data Cloud

BigData Cloud provides the industry’s most performant, scalable and flexible APIs. Built for eCommerce, Ad Agencies, Financial Institution, Saas, CRM Systems.

Integrate the Big Data Cloud API with the Google Sheets API

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

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Get Time Zone by Location with Big Data Cloud API on New Comment (Instant) from Google Sheets API
Google Sheets + Big Data Cloud
 
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Get Time Zone by Location with Big Data Cloud API on New Row Added (Instant) from Google Sheets API
Google Sheets + Big Data Cloud
 
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Get Time Zone by Location with Big Data Cloud API on New Updates (Instant) from Google Sheets API
Google Sheets + Big Data Cloud
 
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Get Time Zone by Location with Big Data Cloud API on New Worksheet (Instant) from Google Sheets API
Google Sheets + Big Data Cloud
 
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Perform IP Geolocation with Big Data Cloud API on New Comment (Instant) from Google Sheets API
Google Sheets + Big Data Cloud
 
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New Comment (Instant) from the Google Sheets API

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

 
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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.

 
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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.

 
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New Worksheet (Instant) from the Google Sheets API

Emit new event each time a new worksheet is created in a spreadsheet.

 
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Get Time Zone by Location with the Big Data Cloud API

Retrieve time zone data for a specified location. See the documentation

 
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Add Single Row with the Google Sheets API

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

 
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Perform IP Geolocation with the Big Data Cloud API

Obtain a user's location data based on their IP address. 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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Reverse Geocode with the Big Data Cloud API

Convert a user's coordinates to a human-readable address. See the documentation

 
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Overview of Big Data Cloud

The Big Data Cloud API provides a suite of RESTful APIs for IP geolocation and various other data services that can enrich your applications with valuable insights. On Pipedream, you can integrate these APIs into serverless workflows to automate data collection, analysis, and decision-making processes. Whether you're looking to enhance user experience with location-based content, validate user data, or perform any number of data-enrichment tasks, Big Data Cloud can be a go-to resource within your Pipedream workflows.

Connect Big Data Cloud

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    big_data_cloud: {
      type: "app",
      app: "big_data_cloud",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api-bdc.net/data/country-by-ip`,
      params: {
        key: `${this.big_data_cloud.$auth.api_key}`,
      },
    })
  },
})

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

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

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

Adyen logo
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Webflow logo
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Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
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Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
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Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo