Feature Marketplace · Connectors

Zoom Connector

Zoom video communications platform. Syncs account users, meetings, cloud recordings, and webinars via the Zoom v2 REST API using Server-to-Server OAuth.

Connectors connector Collaboration

What syncs

The Zoom records STRAX brings into your hub.

Each kind of record is mapped once to your company model in the STRAX hub, then kept current in every system that needs it. Where Zoom announces changes, they arrive as they happen.

Users

Account users including license type, status, department, and last login.

Changes arrive as they happen

Meetings

Scheduled and recurring meetings for a user including topic, start time, and join URL.

Changes arrive as they happen

Cloud Recordings

Cloud recordings for a user including size, file count, and share URL.

Changes arrive as they happen

Webinars

Scheduled and recurring webinars for a user including topic, start time, and join URL.

Changes arrive as they happen

Zoom data in your own SQL Server, then wherever it is needed.

STRAX is a self-hosted integration platform. The Zoom records land in the STRAX hub, a SQL Server database on your own servers, where your reports, portals and workflows read them. From there the hub delivers them to the other systems you connect, whether those run on SQL Server, MySQL, PostgreSQL or another API. STRAX signs in to Zoom with an access token that you provide, stored encrypted.

About this listing

Version1.0.1
AuthorSTRAX
CategoryConnectors
Published2026-07-15

What's inside

Connector profile 1

Free listing

Install it from Feature Marketplace inside STRAX

Open Feature Marketplace

In your STRAX installation, open Feature Marketplace from the navigation.

Find "Zoom Connector"

Search or browse to this listing and review the contents disclosure; every package shows what it contains before anything runs.

Install

Choose Install, or "Customise with AI" to adapt the package to your environment first. No licence is needed for free listings.

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See it on your own systems.

A demo takes an hour, on your data landscape rather than ours.