NashTech Insights

Trigger OneDrive through Logic App

Vikas Vashisth
Vikas Vashisth
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Hello Everyone and Welcome again to the series of Automation through Logic App. As previously we have read in our blogs how we have utilised Logic App inbuilt actions to automate our work. So, Here is one more but this time related to trigger in OneDrive through Logic App.

Steps to Trigger OneDrive through Logic App

  • In the Trigger Section of the Logic App, search for the OneDrive trigger and Select “When a file is created” or not trigger so that we can utilise the OneDrive trigger in the Logic App.

  • When we select the OneDrive trigger we need to fill out the Details related to the OneDrive trigger execution :

  • Here is one more detail which needs to be completed and is also important which is related to Connections, we need to log in or authenticate to access the OneDrive so that we can perform the trigger operation.

  • After selecting the Trigger we need to have the action so that we can able to get the output from the action like here we are selecting “compose” as an action :

  • Here is the OneDrive in which we have set up a folder so that we can have a trigger point :

  • And, In the File, we are having the content which is going to be printed the same as it is in the “compose” action :

  • So after executing our Logic App Workflow through Designer mode, we were able to fetch the details of the file content as shown in the result :


So After you have gone through this blog, you now have the overview of trigger operations related to
OneDrive can help to automate various projects even in the Azure DevOps pipeline also.
For more such amazing blogs please click on the given links in the reference section.


Please Click on below Links to explore about Logic App :

Link 1

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Vikas Vashisth

Vikas Vashisth

Vikas Vashisth is working as a Sr.DevOps Engineer at Knoldus | Part of Nashtech with having more than multiple years of experience in the field of continuous integration and delivery, infrastructure automation, and containerization enables me to build scalable, reliable, and highly available environments. I am proficient in tools such as Docker, Kubernetes, Jenkins, Ansible, and Terraform, and have experience working with cloud platforms such as AWS, GCP, and Azure.

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