Yes you can do this. First you need to sort out out your logic to find the file, e.g. by using Get files and then Filter array and filtering based on Path contains the expression formatDateTime(utcNow(),'MM_yy')
This might be the more complex bit depending on how the source is structured. You might benefit from learning about Odata filter queries for this.
Ultimately you want to narrow down to a single file or a group of files and then process the next part within an Apply to each loop around the results with your filtered array as the input.
Inside the Apply to each you need to undertake a 2 step process with a couple of compose actions in between to get the information you want.
Firstly, add the action Get file properties and use an expression items('Apply_to_each')?['ID'] as the file ID. Then add Get Tables (Excel Online Business). Select the site and library. The File should be the Id property or the Identifier property of the previous get file properties action, whichever is available to you.
The output of this action is an array containing all the tables within the file. If your files only contain one table this is pretty easy. Add a compose action and put the formula in an expression as follows:
substring(first(body('Get_tables')?['value'])?['@odata.id'],add(indexOf(first(body('Get_tables')?['value'])?['@odata.id'],'items('),7),34)Then add another Compose (let's call it Compose 2)
first(body('Get_tables')?['value'])?['id'] Now you want to do List rows present in a table. Select the Location and Document Library then in the File input you want the first compose output and the Table is the second compose. You will need to click Enter custom value on the latter before it lets you add dynamic content.
Now you have the rows you can do whatever you want with those, whether that's adding to a SP list or a Power BI streaming dataset. This is all done within the Apply to each.
Having said all that, you could just use the SharePoint connector directly in Power BI to find files and import the tables directly using Power Query.