How to Connect MoonClerk to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of MoonClerk

You have an Excel workbook full of revenue projections, subscriber cohorts, and payment history. MoonClerk holds the live version — every charge, every customer, every subscription event. The gap between what's in MoonClerk and what's in your workbook is bridged almost entirely by CSV exports and manual pasting.

MoonClerk is good at collecting recurring payments and giving you a clear view of who's on which plan. But there's no live path from your MoonClerk dashboard to your Excel workbook. The usual flow is: export a CSV, open it separately, copy the rows across, fix the date formats that Excel converts on its own, and then chase down the missing columns that didn't come through in the export.

Below are the four common ways teams handle this. Only the last one scales.

Method 1: Manual Copy-Paste (or CSV Import)

The default for Excel users is usually a CSV download rather than a direct copy — open MoonClerk, export the relevant report, save the file, import it into the workbook, reformat the columns to match your existing headers, and delete the rows you don't need.

That's a reasonable one-time workflow. Run it every month for the financial close, every quarter for the revenue audit, and every week for the dashboard update — and the fifteen minutes per run adds up fast. What makes it particularly grinding is that MoonClerk exports come with their own column order, and your workbook has its own. Every import means the same manual rearrangement. The data is right. The headers are always wrong.

Method 2: Power Automate

Power Automate can connect to MoonClerk via HTTP request actions and write the output into an Excel file in OneDrive or SharePoint.

Quick check before you build anything — are you comfortable with REST API calls, authentication headers, JSON parsing, and Power Automate expression syntax? If any of those give you pause, this is not the right path. Move to Method 3 or 4 instead.

For those still reading: the flow works. You set up an HTTP action with your MoonClerk API credentials, parse the JSON response, loop through the payments or subscriptions, and write each record into a row using the Excel Online connector.

The structural problem is that Power Automate iterates one item at a time.

A historical pull of 200 payments means 200 separate Excel row writes. The flow works, but it's slow, the run history fills up fast, and when row 147 fails because of a null field, the rest of the flow keeps going and you end up with a gap you don't notice until the totals don't add up.

You probably just need last month's subscription data in a format your finance workbook already understands. You probably have no idea how to write a Power Automate expression that handles a null billing frequency without crashing. So you either spend an afternoon learning, or you hand it to IT and wait for it to come back whenever they have a free slot.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the repeatable option for Excel users was a category of add-ins that let you configure a field mapping once, save it, and re-run it against your workbook on demand. You picked the MoonClerk endpoint, mapped the columns, saved the template.

That was a genuine improvement over one-off CSV imports. The output was consistent. You could hand the template to a colleague and they'd get the same result.

But you were still doing all the structural thinking: which fields, which filters, which columns map to which headers. The add-in got the data across — the configuration burden stayed on you. And the moment you renamed a payment form in MoonClerk, or added a column to the workbook, the template needed a manual fix.

This is the previous generation. It worked, until something changed.

The Easy Way: Using SheetXAI in Excel

There is a different way entirely. SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands the layout, and through its built-in MoonClerk integration it can pull payments, subscriptions, customers, and discount data into your workbook directly from the sidebar. No import routine, no Power Automate flow, no column mapping.

Example 1: Pull the current quarter's failed payments

Pull all failed and refunded MoonClerk payments and write them into my Excel sheet with customer name, amount, and failure status in columns A through C

Every failed and refunded payment lands in the exact columns you specified, with the status values as MoonClerk stores them.

Example 2: Group subscriptions by payment form and calculate MRR

Pull all MoonClerk subscriptions and group them by payment form name in my Excel sheet, showing the count and total MRR for each form

The pattern: instead of pulling the raw list and writing a pivot yourself, you ask for both the data and the grouping in the same prompt. SheetXAI handles the aggregation inline.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook where you're tracking revenue, subscribers, or billing data — then ask it to pull your MoonClerk payment history into the workbook. The MoonClerk integration is included in every SheetXAI plan.