Feature Marketplace · Connectors
Contentful Connector
Contentful headless CMS and content platform. Syncs entries, assets, and content types from the Content Delivery API with incremental sync on sys.updatedAt and signed webhook support.
What syncs
The Contentful 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 Contentful announces changes, they arrive as they happen.
Entries
Published content entries of all content types, with system metadata and localized field values.
Changes arrive as they happenAssets
Media assets with file details and system metadata.
Changes arrive as they happenContent Types
Content model definitions describing the fields available on entries.
Changes arrive as they happenContentful data in your own SQL Server, then wherever it is needed.
STRAX is a self-hosted integration platform. The Contentful 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 Contentful with an access token that you provide, stored encrypted.
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 | 2026-07-15 |
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 "Contentful 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.


