Integrate FedEx Data into Power Automate Desktop using CData Connect

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CData Connect



CData Connect for FedEx enables you to integrate FedEx data into workflows built using Microsoft Power Automate Desktop.

CData Connect enables you to access live FedEx data in workflow automation tools like Power Automate. This article shows how to integrate FedEx data into a simple workflow, moving FedEx data into a CSV file.

CData Connect provides a pure SQL interface for FedEx, allowing you to easily integrate with live FedEx data in Power Automate — without replicating the data. Connect looks exactly like a SQL Server database to Power Automate and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to FedEx, leveraging server-side processing to quickly return FedEx data.

Create a Virtual SQL Database for FedEx Data

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Log into Connect Cloud and click Databases.
  2. Select "FedEx" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to FedEx.

    There are five pieces of information needed in order to authenticate its actions with the FedEx service. This information is below.

    • Server: This controls the URL where the requests should be sent. Common testing options for this are: "https://gatewaybeta.fedex.com:443/xml", "https://wsbeta.fedex.com:443/xml", "https://gatewaybeta.fedex.com:443/web-service", and "https://wsbeta.fedex.com:443/web-service"
    • DeveloperKey: This is the identifier part of the authentication key for the sender's identity. This value will be provided to you by FedEx after registration.
    • Password: This is the secret part of the authentication key for the sender's identity. This value will be provided to you by FedEx after registration.
    • AccountNumber: This valid 9-digit FedEx account number is used for logging into the FedEx server.
    • MeterNumber: This value is used for submitting requests to FedEx. This value will be provided to you by FedEx after registration.
    • PrintLabelLocation: This property is required if one intends to use the GenerateLabels or GenerateReturnLabels stored procedures. This should be set to the folder location where generated labels should be stored.

    The Cache Database

    Many of the useful tasks available from FedEx require a lot of data. To ensure this data is easy to input and recall later, utilizes a cache database to make these requests. You must set the cache connection properties:

    • CacheProvider: The specific database you are using to cache with. For example, org.sqlite.JDBC.
    • CacheConnection: The connection string to be passed to the cache provider. For example, jdbc:sqlite:C:/users/username/documents/fedexcache.db
  4. Click Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

Integrate FedEx Data into Power Automate Workflows

After configuring CData Connect with FedEx, you are ready to integrate FedEx data into your Power Automate workflows. Open Microsoft Power Automate, add a new flow, and name the flow.

In the flow editor, you can add the actions to connect to FedEx, query FedEx using SQL, and write the query results to a CSV document.

Add an Open SQL Connection Action

Add an "Open SQL connection" action (Actions -> Database) and click the option to build the Connection string. In the Data Link Properties wizard:

  1. On the Provider tab: select Microsoft OLE DB Driver for SQL Server
  2. On the Connection tab:
    1. Select or enter a server name: set to the address and port of the SQL (TDS) endpoint of CData Connect, separated by a comma (e.g. localhost,8033)
    2. Enter information to log onto the server: select "Use a specific username and password" and use CData Connect credentials
    3. Select the database: use the database configured above (e.g. FedEx1)
  3. Click "Test Connection" to ensure the connection is configured properly
  4. Click "OK"

After building the connection string in the Data Link Properties wizard, save the action.

Add an Execute SQL Statement Action

Add an "Execute SQL statement" action (Actions -> Database) and configure the properties.

  • Get connection by: SQL connection variable
  • SQL connection: %SQLConnection% (the variable from the "Open SQL connection" action above)
  • SQL statement: SELECT * FROM Senders

After configuring the properties, save the action.

Add a Write to CSV File Action

Add a "Write to CSV file" action (Actions -> File) and configure the properties.

  • Variable to write to: %QueryResult% (the variable from the "Execute SQL statement" action above)
  • File path: set to a file on disk
  • Configure Advanced settings as needed.

After configuring the properties, save the action.

Add a Close SQL Connection Action

Add a "Close SQL connection" action (Actions -> Database) and configure the properties.

  • SQL Connection: %SQLConnection% (the variable from the "Open SQL connection" action above)

After configuring the properties, save the action.

Save & Run the Flow

Once you have configured all the actions for the flow, click the disk icon to save the flow. Click the play icon to run the flow.

Now you have a workflow to move FedEx data into a CSV file.

With CData Connect, you get live connectivity to FedEx data within your Microsoft Power Automate workflows.

Related Power Automate Articles

This article walks through using CData Connect Cloud with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):