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CData Connect enables you to access live QuickBooks Time data in workflow automation tools like Power Automate. This article shows how to integrate QuickBooks Time data into a simple workflow, saving QuickBooks Time data into a CSV file.
CData Connect provides a live interface for QuickBooks Time, allowing you to integrate with live QuickBooks Time data in Power Automate β without replicating the data. Connect uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to QuickBooks Time, leveraging server-side processing to quickly return QuickBooks Time data.
Connectivity to QuickBooks Time from Power Automate is made possible through CData Connect AI. To work with QuickBooks Time data from Power Automate, we start by creating and configuring a QuickBooks Time connection.
TSheets uses the OAuth2 standard for authentication and authorization. To construct your own OAuth app and connect to data, refer to OAuth section in the Help.
π Configuring a connection (Salesforce is shown)When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
With the connection configured and a PAT generated, you are ready to connect to QuickBooks Time data from Power Automate Desktop.
After configuring CData Connect with QuickBooks Time, you are ready to integrate QuickBooks Time data into your Power Automate workflows. Open Microsoft Power Automate, add a new flow, and name the flow.
π A new flow in Power AutomateIn the flow editor, you can add the options to connect to QuickBooks Time, query QuickBooks Time using SQL, and write the query results to a CSV document.
Add an "Open SQL connection" action (Action -> Database) and click the option to build the Connection string. In the Data Link Properties wizard:
After building the connection string in the Data Link Properties wizard, save the action.
π A configured 'Open SQL connection' actionAdd an "Execute SQL statement" action (Action -> Database) and configure the properties.
After configuring the properties, save the action.
π A configured 'Execute SQL statement' actionAdd a "Write to CSV file" action (Action -> File) and configure the properties.
After configuring the properties, save the action.
π A configured 'Write to CSV file' actionAdd a "Close SQL connection" action (Action -> Database) and configure the properties.
After configuring the properties, save the action.
π A configured 'Close SQL connection' actionOnce you have configured all the options for the flow, click the disk icon to save the flow. Click the play icon to run the flow.
π A fully configured workflowNow you have a workflow to save QuickBooks Time data into a CSV file.
π Application data in a CSV file (Salesforce is shown)With CData Connect AI, you get live connectivity to QuickBooks Time data within your Microsoft Power Automate workflows.
Now you have a direct connection to live QuickBooks Time data from Power Automate tasks. You can create more connections and workflows to drive business β all without replicating QuickBooks Time data.
To get SQL data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.
This article explains how to use CData Connect AI with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):
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