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Flutterwave · Google Sheets Guide

Export Flutterwave Transaction History Into a Google Sheet

2026-05-14
5 min read

The Scenario

Your finance team's monthly close lands on the first of every month, and it always starts the same way: someone has to pull the Flutterwave transaction export for the previous period, clean it up, and match it row by row against the bank statement. This month there are 1,200 transactions across NGN, USD, and GHS accounts. The bank statement shows a discrepancy you can't explain yet.

The bad version:

  • You export the Flutterwave CSV for January, open it in Sheets, and discover the currency column merged with the exchange rate column because the export format changed again.
  • You split the column manually, rename the headers to match your reconciliation template, delete the eight duplicate rows that came through for retried payments, and paste the result into the working file.
  • You do the same thing for the USD sub-account export, which comes as a separate file, then manually combine both into one sheet — 45 minutes of cleanup before the actual reconciliation even starts.

That 45-minute block happens twelve times a year. At some point, the person doing it starts building a quiet resentment about it. That's not a data problem, it's a morale problem.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Google Sheet. It reads your existing data, understands what columns you're working with, and through its Flutterwave integration it can pull your full transaction history directly — no CSV download, no header rename, no manual dedup.

Fetch all Flutterwave transactions from 2025-01-01 to 2025-03-31 and write transaction ID, amount, currency, status, and customer email into columns A through E of the Transactions sheet

What You Get

  • Columns A–E fill with transaction ID, amount, currency, status, and customer email — one transaction per row.
  • Failed transactions include the failure reason in a sixth column if present in the API response.
  • Every currency comes through in its own row without merging or splitting.
  • The date format matches ISO 8601, so your existing VLOOKUP and date formulas don't need adjustment.

What If the Data Is Not Quite Ready

The export includes test-mode transactions mixed in with live ones

Fetch all Flutterwave transactions from 2025-01-01 to 2025-03-31, filter out any with mode = 'test', and write transaction ID, amount, currency, status, and customer email into columns A through E of the Transactions sheet

You need transactions grouped by currency with subtotals at the bottom of each group

Fetch all Flutterwave transactions from 2025-01-01 to 2025-03-31, sort by currency, write transaction ID, amount, currency, status, and customer email into columns A through E of the Transactions sheet, and add a subtotal row for each currency group showing the total amount

You need to cross-reference against an existing bank statement in column G

Fetch all Flutterwave transactions from 2025-01-01 to 2025-03-31 and write transaction ID and amount into columns A and B of the Transactions sheet, then for each row check if the amount matches any value in column G (bank statement amounts) and write "matched" or "unmatched" into column C

You need the data cleaned, filtered, matched against the bank, and formatted for the CFO report — all in one go

Fetch all Flutterwave live transactions (exclude test-mode) from 2025-01-01 to 2025-03-31, write transaction ID, amount, currency, and status into columns A–D of the Transactions sheet, filter out rows where status is 'failed', add a subtotal per currency at the bottom, then for each row check if the amount in column B matches any value in column F and write "reconciled" or "gap" into column E

The pattern: cleanup conditions, joins, and aggregations can all land in the same prompt. There's no reason to run the export and then come back for the filtering pass.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet you use for Flutterwave reconciliation, then ask it to pull your Q1 transactions and flag the ones that don't match your bank statement. For other finance workflows, see how to pull settlement data into a sheet or the full Flutterwave overview.

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