Send large amounts of data in large batches hourly

I see, is there any way to make it so that it outputs multiple columns? In my testing, it seems like it’ll just concat everything that’s put into the “Entry” field.

@Troy Tessalone 

Do you have an example of what that might look like? I’m not very familiar with python.

@Troy Tessalone 

Hmm, none of those are quite what I’m looking for. To be more specific, what I need is to go from this (digest entry field):

To this (google sheets):

In other words, each row in the digest entry field to be arranged into its own column in google sheets. Is this possible?

Yes, but that just puts everything into one cell. It needs to be reorganized so each thing is its own value

@Troy Tessalone 

Ah I see, thank you. I also had a question about the way the digest collects info. For example, in the sheet below, where do the second, third, etc entries go? Are they put along side each other, or are they a separate entry entirely?

To update:

I was able to use “,” as a delimiter and format it into CSV using the formatting tool. However, upon testing, I discovered that the Digest tool uses a task every time it appends a new piece of data, as you can see below

I’m dealing with potentially thousands of new pieces of data every day, and we currently don’t have the budget to use a task for each of those pieces of data. It also doesn’t need to be live updated, which is where I thought digest would fix it. For an example of what I could use: Over the course of an hour, a webhook receives new call entries from a telecommunication provider. At the end of the hour, it uploads all of the calls onto a google sheet using the “Create Spreadsheet Row(s) in Google Sheets” action. Ideally, this would only use 2 tasks, one to create the rows and one for the middle man I’m looking for. Is there any way to do this?