How to Get Metadata for Dataverse Tables in Power Apps (Complete Guide)

How to Get Metadata for Dataverse Tables in Power Apps

If you've ever needed to understand the structure of your Dataverse tables programmatically — including customizations, column definitions, and localized labels — retrieving table metadata is an essential skill for any Power Platform developer. Whether you're building dynamic apps, automating schema discovery, or supporting multi-language organizations, knowing how to access Dataverse table metadata unlocks a powerful layer of flexibility in your solutions.

In this guide, we'll walk you through exactly how to retrieve metadata for Dataverse tables in Power Apps, with clear examples and practical tips to get you up and running quickly.

What Is Dataverse Table Metadata?

Table metadata in Microsoft Dataverse describes the structure and configuration of your tables. It includes:

• Customizations applied to tables and columns
• Localized labels for organizations supporting multiple languages
• Column data types, relationships, and constraints
• Table-level properties such as display names, schema names, and ownership types

Understanding and querying this metadata is critical when building dynamic, data-driven applications on the Power Platform — especially when your solution needs to adapt to schema changes automatically.

Why Retrieve Table Metadata Programmatically?

There are several real-world scenarios where accessing Dataverse metadata is invaluable:

• Dynamic form generation: Build forms that adapt based on the current table schema without hardcoding field names.
• Multi-language support: Retrieve localized labels to display the correct language for each user.
• Solution validation: Programmatically verify table structures during deployment or ALM pipelines.
• Custom tooling: Build internal admin tools that surface schema information to non-technical users.

If you're working on a complex Dataverse implementation, our team at CRMONCE can help. Learn more about our Dynamics 365 implementation services and Power Platform development expertise.

How to Retrieve Metadata for Dataverse Tables

Using the Dataverse Web API

The most common approach to retrieving table metadata is through the Dataverse Web API. You can query the EntityDefinitions endpoint to retrieve metadata for one or all tables.

Example: Retrieve metadata for a specific table

GET [Organization URI]/api/data/v9.2/EntityDefinitions(LogicalName='account')

This request returns a JSON object containing all metadata properties for the account table, including display names, schema names, ownership type, and more.

Filtering Metadata Properties

To improve performance, you can use $select to limit the properties returned:

GET [Organization URI]/api/data/v9.2/EntityDefinitions(LogicalName='account')?$select=DisplayName,SchemaName,PrimaryIdAttribute

Retrieving Column (Attribute) Metadata

To get metadata for the columns within a specific table, expand the Attributes navigation property:

GET [Organization URI]/api/data/v9.2/EntityDefinitions(LogicalName='account')/Attributes

This returns detailed information for each column, including data type, max length, required level, and localized labels.

Retrieving Localized Labels

For organizations supporting multiple languages, metadata includes LocalizedLabels collections. These are returned as part of the DisplayName and Description objects in the API response, allowing you to surface the correct label based on the user's language code (LCID).

Using the Organization Service (SDK)

If you're working in a .NET environment using the Dataverse SDK, you can use the RetrieveEntityRequest message to fetch table metadata:

RetrieveEntityRequest request = new RetrieveEntityRequest
{
    EntityFilters = EntityFilters.All,
    LogicalName = "account",
    RetrieveAsIfPublished = true
};

RetrieveEntityResponse response = (RetrieveEntityResponse)service.Execute(request);
EntityMetadata metadata = response.EntityMetadata;

The EntityFilters enum lets you control what subset of metadata is returned — choose from Entity, Attributes, Privileges, Relationships, or All to balance detail with performance.

Best Practices When Working with Dataverse Metadata

• Cache metadata where possible: Metadata doesn't change frequently. Caching responses reduces unnecessary API calls and improves performance.
• Use $select to limit payload size: Only request the properties you need to keep responses lean and fast.
• Handle localized labels carefully: Always check for the correct LCID when displaying labels in multi-language environments.
• Use RetrieveAsIfPublished wisely: Set this to true only in development/admin scenarios — unpublished metadata should not drive production logic.
• Automate metadata checks in pipelines: Integrate metadata validation into your CI/CD process to catch breaking schema changes early.

Need help implementing Power Platform automation pipelines? Explore our Power Automate services or speak with our consulting team.

Want to Go Deeper with Power Platform Development?

Retrieving and working with Dataverse metadata is just one piece of the larger Power Platform development puzzle. If you want to build robust, scalable solutions on Dataverse and the Power Platform, hands-on training can dramatically accelerate your progress.

At CRMONCE, we offer professional training programs designed for developers and consultants who want to master Dataverse, Power Apps, and the broader Microsoft ecosystem.

Ready to Build Smarter Dataverse Solutions?

Whether you're just starting out with Power Platform development or looking to optimize an existing Dataverse implementation, our team of certified Microsoft experts is here to help. From architecture reviews to full-scale deployments, CRMONCE delivers solutions that scale.

Get in touch with our team today and let's discuss how we can help you unlock the full potential of your Dataverse environment.

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