How to Import Bank Transactions into Google Sheets, Excel, or a Database for Your Business

You have a business checking account, a business credit card, maybe a savings account. Every month you log into each bank portal, download a CSV, open it in your spreadsheet, fix the column headers, paste it below last month's data, and check for duplicates you missed last time.

Multiply that by three accounts across two banks, and you're spending an hour on data entry that adds zero value to your business.

This guide covers three ways to eliminate that workflow entirely: syncing your bank transactions to Google Sheets, Excel, or a database. Pick the one that fits how your business already works.

The Business Bank Data Problem

CSV exports were designed for one account, one download, one time. They fall apart the moment you try to use them as a recurring data pipeline for a business.

Formats change without warning. Your bank updates its export layout and suddenly the date column is in a different position. Your SUMIF formulas break. Your pivot table pulls the wrong column. You don't notice until your accountant asks why March looks off.

Duplicates multiply with multiple accounts. Download checking and credit card CSVs, paste both into the same sheet, and now you're eyeballing rows to make sure a transfer doesn't show up twice. Do this monthly for a year and you'll find errors you introduced six months ago.

Handing files to your accountant is friction. You email a spreadsheet. They have questions. You update the file. Now there are two versions. They paste it into their system and something doesn't map. This loop repeats every quarter.

If you're running a dental practice, a consulting firm, or any service business with two or three accounts, this is real time lost every month on a problem that should be solved once.

What You Actually Need

The ideal setup has three properties:

1. Direct. Transaction data flows from your bank to your tool without manual downloads.
2. Deduplicated. Running a sync twice never creates duplicate rows. You can sync daily, weekly, or monthly and get the same clean dataset.
3. Structured. Every transaction has consistent columns: date, amount, merchant, category, account name. No reformatting.

Different businesses need different output targets. Your bookkeeper lives in Google Sheets. Your finance person prefers Excel. Your developer wants the data in Postgres so they can build dashboards.

SheetLink handles all three. Connect your bank accounts once through Plaid, then sync transactions to Google Sheets, Excel, or a database depending on your workflow.

Option 1: Sync Bank Transactions to Google Sheets

Best for: Bookkeepers, accountants, small businesses that already use Google Sheets for tracking expenses or building reports.

Your Transactions sheet will look like this:

Every column is consistent across every sync. Dates are always YYYY-MM-DD. Amounts are always positive for debits, negative for credits. No reformatting needed.

Option 2: Sync Bank Transactions to Excel

Best for: Finance teams on Microsoft 365, businesses that submit Excel files to accountants or partners, and Excel power users who prefer working locally.

The Excel add-in works on Windows, Mac, and Excel Online. Same data format, same deduplication, same account_name column for multi-account filtering.

Option 3: Sync Bank Transactions to a Database

Best for: Businesses with developers on staff, multi-location practices that need to query across accounts, and anyone building internal dashboards or reporting tools.

SheetLink's CLI writes transaction data straight to Postgres or SQLite, or outputs JSON you can load into any other database.

sheetlink sync --output postgres://localhost/finances

Once your transactions are in Postgres, you can run queries that would be painful in a spreadsheet:

SELECT
  account_name,
  category_primary,
  SUM(ABS(amount)) AS total_spent
FROM sheetlink_transactions
WHERE date >= '2026-01-01'
  AND amount > 0
GROUP BY account_name, category_primary
ORDER BY account_name, total_spent DESC;

This gives you a breakdown of spending by category across all accounts. Five minutes to set up in SQL. Much harder to replicate reliably in a spreadsheet.

Managing Multiple Accounts

This is where SheetLink saves the most time for businesses. Every connected account syncs into the same Transactions sheet with an account_name column. No merging CSVs. No copy-paste between files.

Here's what multi-account data looks like after a sync:

Sort by date to see all activity chronologically. Filter by account_name to isolate one account. Group by category_primary to see where money goes. The data is already structured for any of these views.

Each transaction has a unique ID from Plaid. SheetLink checks this ID on every sync, so connecting three accounts and syncing daily will never produce duplicate rows. You get exactly one row per transaction, always.

What to Build Once the Data Is Flowing

With clean, deduplicated transaction data in your tool of choice, the useful work starts:

• Monthly P&L. Use SUMIFS in Sheets or Excel to total income and expenses by category for each month. Build it once, and it updates every time you sync.
• Expense categorization. Plaid assigns a category_primary and category_detailed to every transaction. Use these as a starting point, then add your own column for your chart of accounts.
• Tax prep export. Filter by date range and category to pull deductible expenses. Hand your accountant a clean, single-source file instead of a folder of CSVs.
• Cash flow view. Track your Accounts sheet balances over time. SheetLink updates current and available balances on every sync, so you always know where you stand across all accounts.

Questions