![]() ![]() In other words, Data Publisher extends your Microsoft Outlook to effectively act as a content provider for your enterprise SharePoint repository. This process can be performed manually, or automatically and is achieved without using any scripts or programming, with complete seamless experience to the users. Capture name and address into Microsoft Outlook address book automatically.ĭata Publisher add-in provides a means to bring your Outlook contents such as mails, appointments, tasks or contacts to SharePoint lists, where these can be shared with other users. Highlight the contact information (signatures) found in open e-mails, preview panes, websites, and programs. ![]() PST Merger is compatible with the latest Windows 10 and Outlook 2016.Ĭapture name, address and other contact's details automatically and insert into Microsoft Outlook contact in two simple steps from e-mail signatures, Outlook items, a web page or a document and automatically create a Contact. Merge, move or copy specified Outlook data from one PST file to a selected PST file without the need to merge all content from both PST files. All your data stored in original PST files will be preserved and merged without making any changes to the original files. Combine data from files created in different Outlook versions. In my production version of this Flow, data is written to Dataverse for review and action as part of a larger business process and has error handling to let me know if things fail.Merge selected folders from PST files, such as, Inboxes, Calendars, Contacts, Journals, Tasks etc. I’m sure there are more elegant ways of performing this operation, but it suits my needs and the value it adds outweighs any risk of refactoring if the system generated email ever changes. My completed Flow looks like the image below. Green: Split Yellow based on the pipe symbol.Įxpression code: split(replace(outputs('Html_to_text')?, decodeUriComponent('%0A'), '|'), '|')Īdditional Compose actions are added for each line to be extracted with the only change being the array location value i.e. Yellow: Replace the hidden line break characters with a pipe symbol using decodeUriComponent(‘%0A’) The expression code is listed below and generally reads as: Using a Compose action with an expression we extract our target text line. The Html to text action converts the email body (A) into readable and usable content (B). Next, I add an Html to text action and set the content to Body from the When a new email arrives (V3) trigger. The context of the trigger is based on the account defined in the connection, i.e. In this case any email with a subject of “System email message” will trigger the flow. I am using the “Subject Filter” to specify the conditions by which the Flow will execute. I am using an Automated cloud flow with the When a new email arrives (V3) trigger. In the image below we can see my system generated email. The Flow was difficult to create but simple in its final implementation using Html to text and Compose actions. The key to this Flow pattern is the predictability of the system generated message, meaning I can count on line 1 always being line 1 and line 2 always being line 2 etc. I recently encountered a scenario where I had to extract multiple lines of text from a system generated email using Power Automate.
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