Cal.com connector
Set up the Cal.com connector in Kaivo: authentication, configuration, the 6 BigQuery tables it syncs, and answers to common questions.
Written By Lauri Raivio
Last updated 16 days ago
Kaivo is a fully managed data platform that syncs your Cal.com 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 marketing and sales data instead of moving it.
What is the Cal.com connector
Sync your Cal.com scheduling data into BigQuery with Kaivo to analyse meetings booked and demand across your team.
Getting started with the Cal.com connector
- Sign up for Kaivo and create a workspace.
- Connect your Cal.com account.
- Choose which tables to sync.
- Wait for the initial sync to finish.
- Query your data in BigQuery or your favourite AI or BI tool.
Authenticating Cal.com
Authenticate with your API Key.
Tables and columns synced from Cal.com
Kaivo syncs 6 tables from Cal.com into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
bookings (27 columns)
bookings (27 columns)
Subtable: bookings__attendees
Subtable: bookings__booking_fields_responses__guests
Subtable: bookings__guests
Subtable: bookings__hosts
calendars (10 columns)
calendars (10 columns)
conferencing (7 columns)
conferencing (7 columns)
event_types (30 columns)
event_types (30 columns)
Subtable: event_types__metadata__multiple_duration
Subtable: event_types__booking_fields
Subtable: event_types__booking_fields__sources
Subtable: event_types__booking_fields__variants_config__variants__full_name__fields
Subtable: event_types__booking_fields__views
Subtable: event_types__children
Subtable: event_types__hashed_link
Subtable: event_types__hosts
Subtable: event_types__locations
Subtable: event_types__user_ids
my_profile (9 columns)
my_profile (9 columns)
schedules (7 columns)
schedules (7 columns)
Subtable: schedules__availability
Subtable: schedules__availability__days
Subtable: schedules__overrides
How the Cal.com sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Cal.com 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 Cal.com?
It depends on how much history is in your Cal.com 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 Cal.com'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 Cal.com, 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 Cal.com 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 Cal.com connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Cal.com data
Booking trends
Use bookings to track meetings booked by type and date over time.
Event type mix
Join event_types with bookings to see which meetings get booked most.
Availability
Use schedules to compare booked time against available time.
Use Cal.com data in your AI and BI tools
Once Cal.com 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 Cal.com 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 Cal.com connector pricing and plan details.
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- Amplitude: Sync Amplitude to BigQuery.
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