How to Connect Baserow to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Baserow

You have an Excel workbook full of data — database IDs, table structures, form field configurations, template inventories. You need it synchronized with Baserow, or you need Baserow's structure documented back into the workbook, in a way that doesn't take an entire afternoon.

Baserow is good at giving teams a no-code database layer they can self-host or run in the cloud. But bridging it to your Excel workbook requires more plumbing than it first appears. The typical flow is: export a CSV from Baserow, paste it into Excel, wrestle the column order into shape, realize a table got renamed since the last export.

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

Method 1: CSV Export

The default for Excel users. Export a CSV from Baserow, open it in Excel, copy the relevant columns into your workbook. CSV export is more reliable than copy-paste for structured data — until you realize the export cut off at 500 rows and the rest never arrived.

For a one-time snapshot, this is fine. When it becomes a weekly reconciliation across multiple Baserow databases, you're opening and closing the same export dialog every Monday, matching columns that never land in the same order twice, and hoping nothing changed in the schema since last week.

It's not a broken process. It's just one that demands more of you than the task deserves.

Method 2: Power Automate

Power Automate has Baserow connector options. You can wire up a scheduled flow, call the Baserow API, and write the results back into your Excel workbook on OneDrive.

Before you go further: do you know what an HTTP action is? Have you handled paginated API responses in a flow before? Do you understand how to authenticate with a Bearer token inside Power Automate's action editor? If any of that felt unfamiliar, this path will stall before it's useful. Method 3 or 4 is worth your time instead.

If you're still here: the flow can work. You build the HTTP call, parse the JSON response, use an Apply-to-each loop to write rows into the workbook, and handle the pagination manually. It's real engineering.

The structural ceiling is that a row-by-row loop is the wrong shape for workspace inventory. You want a full snapshot across databases and tables — that's a different kind of query, and a loop that fires once per row isn't the right abstraction for it.

You probably just need the table list. You probably have no idea how to build a paginated HTTP loop in Power Automate — and you shouldn't have to. So this lands on whoever in your organization handles flow development, and now you're waiting on their queue.

Cost and complexity compound once you add conditional logic, field type filtering, or joins across multiple API endpoints.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable spreadsheet ↔ Baserow workflows was a category of add-ons that let you manually configure column mappings and saved templates. You picked your range, you tagged your fields, you saved a config, you ran it.

That was a real step up from copy-paste. Output was consistent, configs were reusable, the team didn't have to redo formatting every run.

But you were still responsible for the template design, the field mapping, the schedule, the conditional logic about which rows to include, the renaming of columns. The tool got the data through, but the thinking was still on you. And the moment your Baserow schema changed — a table got renamed, a field type shifted — your config broke until someone went back in and fixed it.

This is the previous generation. It worked, but it asked a lot of the operator.

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 what you are looking at, and through its built-in Baserow integration it can push to or pull from Baserow for you. No template configuration, no automation glue, no hand-building paginated HTTP calls. You just ask.

Example 1: Inventory all databases and tables in a workspace

Fetch all Baserow databases and their tables from my workspace and populate my Excel sheet with columns: database name, database ID, table name, table ID — one row per table

SheetXAI calls the Baserow API, pages through the full workspace structure, and writes every database–table combination into the workbook: one row per table, four columns filled.

Example 2: Pull form view metadata across multiple forms

For every form view ID in column A of my Excel table, pull the Baserow form metadata and output field name, field type, and required flag into columns B, C, and D

The pattern: instead of navigating into each form manually and then transcribing the field configuration, you ask for the pull and the column placement in one prompt. SheetXAI handles the iteration inline.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook connected to your Baserow workspace, then ask it to inventory your databases or audit a form's field structure. The Baserow integration is included in every SheetXAI plan.