Google Calendar connector

Set up the Google Calendar connector in Kaivo: authentication, configuration, the 5 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated About 4 hours ago

Kaivo is a fully managed data platform that syncs your Google Calendar data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your project management data instead of moving it.

What is the Google Calendar connector

Sync your Google Calendar data into BigQuery with Kaivo to analyse how time is spent across meetings and calendars.

CategoryProject Management
StatusGenerally available
AuthenticationAPI key
SetupSelf-service

Getting started with the Google Calendar connector

  1. Sign up for Kaivo and create a workspace.
  2. Connect your Google Calendar account.
  3. Choose which tables to sync.
  4. Wait for the initial sync to finish.
  5. Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Google Calendar

Authenticate with your Google Calendar credentials. You provide:

FieldDescription
Client ID

Client ID of your Google Cloud OAuth client (Google Cloud Console → APIs & Services → Credentials).

Client secret

Client secret of the same Google Cloud OAuth client.

Refresh token

OAuth refresh token obtained by authorizing your client with the Google Calendar read-only scope.

Prerequisites

This connector needs your own Google Cloud OAuth client:

  1. In the Google Cloud Console, create a project and enable the Google Calendar API.
  2. Configure the OAuth consent screen with the calendar.readonly scope, then create an OAuth client to get a Client ID and Client Secret.
  3. Complete the OAuth flow once to obtain a Refresh Token.
  4. Find your Calendar ID in Google Calendar under Settings and sharing → Integrate calendar.

Need help, or want an easier way to connect? Reach our team via the chat in the bottom-right corner.

Configuring the Google Calendar connector

When you set up the connector, you provide:

FieldDescription
Calendar ID

The Calendar ID to sync — find it in Google Calendar under Settings and sharing → Integrate calendar (your primary calendar's ID is usually your email address).

Tables and columns synced from Google Calendar

Kaivo syncs 5 tables from Google Calendar into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

How the Google Calendar sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Google Calendar supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Google Calendar?

It depends on how much history is in your Google Calendar account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Google Calendar's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Google Calendar, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

How do I handle GDPR or data deletion requests?

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Google Calendar instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Google Calendar connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Google Calendar data

Meeting load

Use events to measure meeting time and frequency by week and calendar.

Conferencing usage

Use conference_data to see how often meetings use video and which tools.

Calendar inventory

Join calendarlist and calendars to document the calendars in your account.

Reporting context

Bring calendar data into BigQuery to combine it with project and time tracking data.

Use Google Calendar data in your AI and BI tools

Once Google Calendar data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Google Calendar data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Google Calendar connector pricing and plan details.