How to Connect Nango to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Nango

You have an Excel workbook full of data — connection IDs, provider keys, customer environment tags, token payloads — and you need it moving into Nango or out of it without spending your afternoon cross-referencing an API dashboard and manually pasting into worksheets.

Nango is good at centralizing authentication and syncing data from hundreds of external APIs. But getting visibility into what Nango is managing — or pushing bulk changes back to it — is more work than it should be. The usual flow is exporting from the Nango dashboard, reformatting the CSV, and re-importing it into Excel hoping the column order holds.

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

Method 1: CSV Export and Paste

The default for Excel users. You export whatever Nango exposes from its dashboard, open the CSV in Excel, reformat the columns to match your existing workbook, and paste the values in.

For a one-time check, that's manageable. For a quarterly access review that runs every twelve weeks, you're redoing the same reformat every time. The export format drifts slightly, a column gets renamed in a Nango update, and suddenly your VLOOKUP breaks and the audit numbers are wrong before the meeting even starts.

Method 2: Power Automate

Power Automate has HTTP connectors that can call the Nango API and write results to an Excel worksheet. You can build a flow that runs on a schedule, hits the connections endpoint, and appends rows.

Quick check — do you know what an HTTP connector is in Power Automate? How to configure Bearer token authentication? How to parse a JSON array from a response body and map individual fields to worksheet columns? If those concepts are unfamiliar, this is not your fastest route. Method 4 is where you want to be.

If you're still here: the flow is buildable. You authenticate the HTTP connector, configure the Nango endpoint URL, set up the response schema, and map the JSON properties to worksheet columns. Pagination requires looping constructs. Error handling requires conditional branches. Every field is a manual mapping decision.

Runs one page of results per execution by default.

To get all 340 connections, you need a loop, and that loop introduces failure modes — rate limits, partial writes, silently skipped records when a single API call returns an unexpected status code.

You probably just need the connection data. You probably have no idea how to build a paginating HTTP loop in Power Automate — and that's not a gap anyone should be embarrassed about when their job is managing integrations, not writing flows. So you ask whoever on your team handles Power Automate, and now the request is sitting in their queue behind three other things.

The moment you add filtering logic or conditional metadata, the flow complexity triples and the maintenance burden falls on whoever built it.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable Excel workflows pulling from API data was a category of add-ons that let you configure endpoints, map field names to columns, and save those templates for reuse. You set your range, tagged your fields, saved the config, ran it.

That was a real step forward from CSV exports. Output was structured, configs survived between runs, and the team could repeat the pull without starting from scratch.

But the template design was still your problem. The field mapping was still your job. The logic for which connections to include, how to handle nulls, when to overwrite versus append — that lived in whoever set it up originally. The tool moved the data, but the thinking stayed on you. And when Nango changed a response key, the config broke silently until someone ran it and got garbage.

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

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're looking at, and through its built-in Nango integration it can pull connection records, push metadata updates, catalog provider configurations, and make proxied API calls for you. No template, no flow, no endpoint to remember.

Example 1: Export all connections for an access review

Pull every Nango connection into my Excel sheet — include the connection ID, integration name, end user organization ID, and any metadata tags in separate columns

SheetXAI calls the Nango API, handles pagination, and writes each connection as a row with the requested fields distributed across columns.

Example 2: Bulk-tag connections from a metadata worksheet

Take all rows in my Excel sheet — each with a connection ID, environment tag, and customer tier — and set the metadata on each Nango connection, recording SUCCESS or ERROR in column D

The pattern: you describe the write operation once and SheetXAI handles the iteration across every row, the API calls per connection, and the status writebacks — without you touching a flow builder.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with Nango connection IDs or integration data, then ask it to do one of the tasks above. The Nango integration is included in every SheetXAI plan.