Feature Marketplace · Connectors
Shopify Connector
Shopify e-commerce platform. Syncs products, orders, customers, and inventory via the Admin REST API with webhook support for real-time event processing.
What syncs
The Shopify 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 Shopify announces changes, they arrive as they happen.
Products
Product catalog including title, description, pricing, and inventory status.
Changes arrive as they happenOrders
Customer orders including line items, shipping, and payment status.
Changes arrive as they happenCustomers
Customer accounts including contact information and order history.
Changes arrive as they happenInventory Levels
Inventory quantities per location and variant.
Shopify data in your own SQL Server, then wherever it is needed.
STRAX is a self-hosted integration platform. The Shopify 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 Shopify with an API key that you provide, stored encrypted.
Read about the Shopify integration → How STRAX connectors work → How the STRAX integration engine works → Connecting a system, in the documentation →
About this listing
| Version | 1.0.1 |
| Author | STRAX |
| Category | Connectors |
| Published | 2026-07-10 |
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 "Shopify 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.
See it on your own systems.
A demo takes an hour, on your data landscape rather than ours.