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UiPath is a Robotic Process Automation (RPA) platform with rich features and an easy-to-use UI that enables non-developers to create process automation. By using UiPath Studio, you can build an RPA program just like drawing a diagram. With the CData API Driver for ODBC, users can embed Calendly data in the workflow.
This article explains how to use the Calendly ODBC Driver in UiPath Studio to create an RPA program that accesses Calendly data.
๐ Using the CData ODBC Data Sources in UiPathIf you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
Start by setting the Profile connection property to the location of the Calendly Profile on disk (e.g. C:\profiles\CalendlyProfile.apip). Next, set the ProfileSettings connection property to the connection string for Calendly (see below).
To authenticate to Calendly, provide an API Key. The Calendly API Key, can be found in your Calendly account, under 'Integrations' > 'API & Webhooks' > 'Generate New Token'. Set the APIKey in the ProfileSettings connection property.
Now you are ready to use Calendly data ODBC DSN in UiPath Studio with the following steps.
With the connection configured, we are ready to query Calendly data in our RPA.
With the Connection and Execute Query activities configured, we are ready to add a Write CSV activity to the Flowchart to replicate the Calendly data.
If they are not already connected, connect each Activity that you created to complete the RPA project for extracting Calendly data and exporting it to CSV.
๐ Connect each Activity in the FlowchartClick Run to extract Calendly data and create a CSV file.
๐ Running the RPA FlowchartIn this article, we used the CData API Driver for ODBC to create an automation flow that accesses Calendly data in UiPath Studio. Download a free, 30-day trial of the ODBC Driver and start working with live Calendly data in UiPath Studio today!
Connect to live data from Calendly with the API Driver
Connect to Calendly