Last Updated: 28 October 2026
Quick Summary
You get real time financial data into spreadsheets by authorising a regulated provider to read your bank accounts through your bank's PSD2 consent flow, then syncing balances and transactions into Google Sheets, Excel or a database. Routes range from a bank feed set up in under an hour to an open banking API you build yourself.
- CSV downloads are stale the moment they land, so live feeds keep figures current.
- Zenith connects 2400+ banks across 30 European countries to tools finance teams already use.
- Before connecting, gather your account list, consent authority, destination and refresh expectation.
- A bank feed takes under an hour to set up and refreshes daily or intraday.
- Agree a tab and column structure first so the spreadsheet stays auditable.
Why Real Time Financial Data in Spreadsheets Beats CSV Downloads
A bank balance that is three days old is not a balance. It is a memory. That is the core problem with CSV downloads: by the time you have exported, cleaned and pasted the file, the number has already moved. Real time financial data spreadsheets solve this by keeping the figures live, so the sheet you open at 9am reflects what actually sits in the account. (Source: European Banking Authority's guidance on payment services)
At Zenith, we connect 2400+ banks across 30 European countries to the tools finance teams already use. The pattern is consistent:
- CSV files arrive with inconsistent date formats and broken column headers
- One export per bank, per account, per entity
- Manual re-keying introduces errors that surface at month-end
- Nobody can answer "what is our cash position right now?" without an hour of work
The European Banking Authority's guidance on payment services sets the rules that make live feeds possible. Under PSD2, you can authorise a regulated provider to read your account data without sharing your login. That is the mechanism behind every method below.
Below, we walk through seven routes, from the simplest bank feed to a full API build.
What You'll Need Before You Connect Your First Bank Feed
Getting the groundwork right saves hours later. Before you touch a single integration, gather four things.
A clear list of accounts. Note every bank, every entity and every currency. Multi-entity groups routinely underestimate this.
Consent authority. Someone must be able to approve data sharing for each account.
A destination. Decide where the data lands: Google Sheets, Excel, a database or an AI assistant. Each has different connection options.
A refresh expectation. Decide how fresh the data must be.
Watch out: connecting accounts one at a time without a naming convention creates a spreadsheet nobody can audit three months later. Agree a tab and column structure first.
Step 1: Choose Your Data Route: Bank Feed, Open Banking API or CSV
The right route depends on how much engineering time you have and how fresh the numbers must be.
| Route | Setup effort | Refresh | Best for | Main drawback |
|---|---|---|---|---|
| CSV download | Minutes | Manual | One-off checks | Stale the moment it lands |
| Bank feed tool | Under an hour | Daily or intraday | Finance teams, bookkeepers | Per-account cost |
| Open banking API | Days to weeks | As often as you poll | Developers, product teams | You build and maintain it |
| Financial data API | Hours | Scheduled | Excel-heavy teams | Less control over raw data |
CSV is familiar. Someone has to repeat the process each time.
A bank feed sits in the middle: you authorise once, and the provider keeps the data current.
Step 2: Set Up Real-Time Bank Data in Google Sheets
Real-time bank data in Google Sheets works by authorising a provider to read your account, then bringing balances and transactions into a sheet. You grant consent and pick your accounts.
The sequence looks like this:
- Create an account with your chosen provider
- Select your bank from the supported list
- Complete the bank's own consent flow
- Choose which accounts to sync
If you want the full walkthrough, our guide on how to connect a bank feed to Google Sheets covers each screen.
Step 3: Automate Bank Transactions in Google Sheets
Automating bank transactions in Google Sheets means bringing transaction data into a sheet.
Step 4: Use an Open Banking API for Spreadsheets Without Building Bank Integrations
An open banking API for spreadsheets lets you pull account data. Zenith Bank Sync is an open banking API.
Zenith handles this by authenticating through your bank's own PSD2 consent flow, then keeping statements, balances and transactions current. Developers who want the technical detail can read how to get bank transaction data via REST API and see the request and response structure.
Ask any vendor what happens when a bank drops a connection before you sign.
Step 5: Add a Financial Data API for Excel
If you are weighing providers, this comparison of financial data integration tools covers the main options and what each is built for.
Common Mistakes to Avoid When Building a Live Cash View
Reaching a view that finance actually trusts takes planning. This playbook on getting to decision-grade real time financial data walks through fixing the close first, then building trust, then adding speed.
One more: do not chase perfection on day one.
Live bank data in a spreadsheet can bring account information into one place. Zenith Bank Sync connects 2400+ banks across 30 European countries. Connect a bank account through your bank's PSD2 consent flow, then pull balances and transactions into Google Sheets, a REST API, CSV or an AI assistant via MCP. Coverage spans 2400+ banks across 30 European countries. Invoice OCR and accounts payable automation are also available. Get started with Zenith.
