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Dynamics 365 Community / Forums / Customer experience | Sales, Customer Insights,... / Check API access on Da...
Customer experience | Sales, Customer Insights,...
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Check API access on Dataverse data

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Posted on by Silvia Innamorati 33
Hi everyone,
 
I'd like to see if anyone can export data from Dataverse to other software (using the API).
Can someone help me?
 
Thanks in advance
I have the same question (0)
  • Suggested answer
    Vahid Ghafarpour Profile Picture
    Vahid Ghafarpour 12,059 Super User 2025 Season 2 on at
    Check API access on Dataverse data
  • Suggested answer
    Guido Preite Profile Picture
    Guido Preite 54,086 Moderator on at
    Check API access on Dataverse data
    if they can access the data they can export the data
  • Suggested answer
    Yogesh Mulay Profile Picture
    Yogesh Mulay 54 on at
    Check API access on Dataverse data

    you can export data from Dataverse to other software using the Dataverse API. Here's a breakdown of the steps involved:

    1. Authentication:

    • Obtain the necessary credentials to access the Dataverse API. This typically involves registering an application and obtaining an API key or access token.
    • The specific authentication method may vary depending on the Dataverse deployment and security configuration.

    2. Identify the Dataverse Entity:

    • Determine the specific Dataverse entity (table) that you want to export data from.
    • You'll need the entity's logical name or ID to interact with it via the API.

    3. Construct the API Request:

    • Use the appropriate API endpoint to retrieve data from the Dataverse entity. Common endpoints include:
      • RetrieveMultiple (to get multiple records)
      • Retrieve (to get a single record)
    • Specify the desired columns (attributes) to include in the exported data.
    • Consider filtering the data based on specific criteria if needed.
    • Pay attention to pagination if the dataset is large to retrieve data in manageable chunks.

    4. Execute the API Request:

    • Send the constructed API request using an HTTP client library or tool of your choice (e.g., Python's requests library).
    • Include the authentication credentials in the request headers.

    5. Process the API Response:

    • Parse the API response to extract the exported data.
    • The response format is typically JSON, which can be easily deserialized into a structured format.

    6. Transform and Export the Data:

    • Transform the extracted data into the desired format compatible with the target software (e.g., CSV, Excel, XML).
    • Use libraries or tools to facilitate the data transformation process.
    • Export the transformed data to the target software using appropriate methods (e.g., file import, API integration).
    Please mark my answer verified if this is helpful!
     
  • CU14030440-0 Profile Picture
    CU14030440-0 2 on at
    Check API access on Dataverse data
    There are many ways to move data such as
    Using Dataflows and Power Query: You can use Dataflows and Power Query to import and export data from Dataverse.
    Azure Data Factory: Azure Data Factory capybara capybara clicker licker allows you to move data between different systems, including Dataverse.
    Azure Logic Apps and Power Automate: Both of these tools support integration and workflow automation, including exporting data from Dataverse.
    OData Connector: OData Connector is one of the methods to move and synchronize large data between Dataverse environments.
    Depending on your needs and convenience, you can choose the appropriate method.

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