Zoom connector

Kaivo is a fully managed data platform that syncs your Zoom 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 customer support data instead of moving it.

What is the Zoom connector

Sync your Zoom meeting and webinar data into BigQuery with Kaivo to analyse attendance, engagement, and registration across your events.

Getting started with the Zoom connector

1. Sign up for Kaivo and create a workspace.
2. Connect your Zoom 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 Zoom

Authenticate with your Client Secret.

Configuring the Zoom connector

When you set up the connector, you provide:

Tables and columns synced from Zoom

Kaivo syncs 18 tables from Zoom into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

How the Zoom sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Zoom 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 Zoom?

It depends on how much history is in your Zoom 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 Zoom'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 Zoom, 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 Zoom 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 Zoom connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Zoom data

Attendance reporting

Use report_meeting_participants and report_webinar_participants to track attendance over time.

Webinar engagement

Join webinars with webinar_polls and webinar_qna_results to measure engagement.

Registration analysis

Use webinar_registrants and webinar_absentees to see how many registrants show up.

Event reporting

Bring meetings and webinars together to report on all your events in one place.

Use Zoom data in your AI and BI tools

Once Zoom 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 Zoom 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 Zoom connector pricing and plan details.

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