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5 ways to automate Google BigQuery with Zapier

By Michael Toth · August 1, 2024
A hero image of the Google BigQuery app logo connected to other app logos on a light blue background.

Google BigQuery is a powerful cloud-based data warehouse that excels at handling vast amounts of data. But that data probably comes from a variety of sources—and you need a way to easily get it to the right place.

With Zapier's workflows—we call them Zaps—you can automate data transfers and build seamless connections between BigQuery and thousands of other apps. These workflows not only save time and reduce errors but also ensure your data is always current and easily accessible. 

Here's how you can optimize your BigQuery workflows with automation.

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Table of contents

  • Send notifications for changes in BigQuery

  • Use webhooks with BigQuery

  • Update BigQuery from a form

  • Track leads and deals in BigQuery

  • Connect BigQuery with a spreadsheet

To get started with a Zap template—what we call our pre-made workflows—just click on the button. It only takes a few minutes to set up. You can read more about setting up Zaps here.

Send notifications for changes in BigQuery

Staying informed about updates in your BigQuery database is crucial for timely decision-making. When you automate notifications, your team is always up to date with current data insights without constant manual checks. Whether you prefer Slack messages or email notifications, these workflows can help keep your team in the loop with minimal effort.

For example, you can set up a Zap to send a Slack channel message for new rows or completed query jobs in your BigQuery database. This keeps relevant team members promptly notified about new data entries, allowing for quick analysis and action. This would be particularly useful for data that needs a quick turnaround, like new leads or customer inquiries. 

Post Slack messages for new Google BigQuery rows.

Post Slack messages for new Google BigQuery rows.
  • Google BigQuery logo
  • Slack logo
Google BigQuery + Slack

Post new messages to a Slack channel once Google BigQuery successfully complete

Post new messages to a Slack channel once Google BigQuery successfully complete
  • Google BigQuery logo
  • Slack logo
Google BigQuery + Slack

You can also automatically send an email via Gmail whenever a BigQuery query job is completed. This can be useful if you want to receive more detailed or pre-scheduled queries in your inbox.

Send emails from Gmail when Google BigQuery jobs are done

Send emails from Gmail when Google BigQuery jobs are done
  • Google BigQuery logo
  • Gmail logo
Google BigQuery + Gmail

Connect almost any app to BigQuery

Webhooks provide a flexible way to connect Google BigQuery with virtually any app—even if they don't have a Zapier integration—ensuring your data is always synchronized and up to date, no matter which tools your team relies on.

For example, you can set up a Zap to capture incoming webhook data and create a new row in Google BigQuery. Whenever a webhook event is triggered, such as from a form submission or an external system update, that data is instantly recorded in BigQuery, keeping your database current.

Catch Webhooks to add new Google BigQuery data rows

Catch Webhooks to add new Google BigQuery data rows
  • Webhooks by Zapier logo
  • Google BigQuery logo
Webhooks by Zapier + Google BigQuery

You can also use webhooks to automatically send data from Google BigQuery to other apps. This is ideal for pushing data updates to external systems, triggering workflows in other tools, or notifying other tools about changes in your BigQuery database.

Create new webhooks when new rows are added in Google BigQuery

Create new webhooks when new rows are added in Google BigQuery
  • Google BigQuery logo
  • Webhooks by Zapier logo
Google BigQuery + Webhooks by Zapier

Update BigQuery from a form

Forms are a user-friendly way to collect data from a large group of people. But getting that data into your BigQuery database can be a little more unwieldy.

Fortunately, you can keep your database up to date without manual data uploads when you connect your form app to BigQuery with automation. These Zaps help streamline data collection, reduce manual data entry, and ensure your database reflects the latest information in real time.

Create Google BigQuery rows from new Typeform entries

Create Google BigQuery rows from new Typeform entries
  • Typeform logo
  • Google BigQuery logo
Typeform + Google BigQuery

Create Google BigQuery rows from new Google Forms responses

Create Google BigQuery rows from new Google Forms responses
  • Google Forms logo
  • Google BigQuery logo
Google Forms + Google BigQuery

Create Google BigQuery rows from new Unbounce form submissions

Create Google BigQuery rows from new Unbounce form submissions
  • Unbounce logo
  • Google BigQuery logo
Unbounce + Google BigQuery

Create Google BigQuery rows from new Squarespace form submissions

Create Google BigQuery rows from new Squarespace form submissions
  • Squarespace logo
  • Google BigQuery logo
Squarespace + Google BigQuery

Track leads and deals in BigQuery

Staying on top of new leads and deals is essential for optimizing your sales and marketing efforts. By automating the flow of data from your lead generation and customer relationship management (CRM) tools to Google BigQuery, you can maintain a comprehensive record of all your marketing and sales processes, making it easier to analyze trends, measure performance, and make data-driven decisions. That way, you can more easily drive drive better business outcomes.

Create Google BigQuery rows from new Facebook leads

Create Google BigQuery rows from new Facebook leads
  • Facebook Lead Ads logo
  • Google BigQuery logo
Facebook Lead Ads + Google BigQuery

Add new HubSpot deals to Google BigQuery as rows

Add new HubSpot deals to Google BigQuery as rows
  • HubSpot logo
  • Google BigQuery logo
HubSpot + Google BigQuery

Create new Google BigQuery data rows from new custom objects in Salesforce

Create new Google BigQuery data rows from new custom objects in Salesforce
  • Salesforce logo
  • Google BigQuery logo
Salesforce + Google BigQuery

You can also leverage the data in Google BigQuery to enhance your Google Ads campaigns. By setting up Zaps to send offline conversion events or add contacts to customer lists in Google Ads, you can optimize your ad targeting and measure the impact of your marketing efforts more effectively.

Send new Google BigQuery rows to Google Ads as offline conversions

Send new Google BigQuery rows to Google Ads as offline conversions
  • Google BigQuery logo
  • Google Ads logo
Google BigQuery + Google Ads

Add new contacts to Google Ads customer list when new rows are added in Google BigQuery

Add new contacts to Google Ads customer list when new rows are added in Google BigQuery
  • Google BigQuery logo
  • Google Ads logo
Google BigQuery + Google Ads

Connect BigQuery with a spreadsheet

Not everyone on your team or in your company might have access to BigQuery—but they may still need to add information to your database or get data from it. Or maybe you just like the flexibility of a spreadsheet and want to use it in tandem with your BigQuery databases.

Whatever the reason, connecting BigQuery with spreadsheet tools like Google Sheets, Airtable, and Zapier Tables can enhance your ability to manage and analyze data efficiently. 

For example, you can set up a Zap to create a new row in BigQuery each time a new row is added in Google Sheets or when a record is updated in Airtable. This ensures that your BigQuery database is continuously updated with the latest data from your spreadsheets while still allowing your team to work with the tools they're most comfortable with.

Make new data rows in Google BigQuery from new spreadsheet rows in Google Sheets

Make new data rows in Google BigQuery from new spreadsheet rows in Google Sheets
  • Google Sheets logo
  • Google BigQuery logo
Google Sheets + Google BigQuery

Create rows in Google BigQuery for new or updated Airtable records

Create rows in Google BigQuery for new or updated Airtable records
  • Airtable logo
  • Google BigQuery logo
Airtable + Google BigQuery

Create Google BigQuery rows from new or updated Google Sheets spreadsheet rows

Create Google BigQuery rows from new or updated Google Sheets spreadsheet rows
  • Google Sheets logo
  • Google BigQuery logo
Google Sheets + Google BigQuery

You can also reverse that workflow, keeping your spreadsheets updated with the latest changes from BigQuery. 

Create records in Zapier Tables from new rows in Google BigQuery

Create records in Zapier Tables from new rows in Google BigQuery
  • Google BigQuery logo
  • Zapier Tables logo
Google BigQuery + Zapier Tables

Create spreadsheet rows in Google Sheets for every new row in Google BigQuery

Create spreadsheet rows in Google Sheets for every new row in Google BigQuery
  • Google BigQuery logo
  • Google Sheets logo
Google BigQuery + Google Sheets

Create Airtable records when new jobs complete in Google BigQuery

Create Airtable records when new jobs complete in Google BigQuery
  • Google BigQuery logo
  • Airtable logo
Google BigQuery + Airtable

Streamline data management with BigQuery and Zapier 

Connecting Google BigQuery with Zapier opens up many possibilities for enhancing your data workflows and efficiency. Whether you need to send real-time notifications, update your database from form submissions, track leads, or synchronize BigQuery data with spreadsheets, these automations can significantly improve your data management processes.

Related reading:

  • How to automate your database apps

  • Popular ways to automate SQL Server

  • Airtable automation ideas

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A Zap with the trigger 'When I get a new lead from Facebook,' and the action 'Notify my team in Slack'