How to Connect Nango to Google Sheets (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of Nango

You have a sheet full of data — OAuth connection IDs, provider config keys, customer metadata, token payloads — and you need it moving into Nango or out of it without spending your afternoon copy-pasting between a terminal, an API dashboard, and a spreadsheet.

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 opening the Nango dashboard, exporting what you can, reformatting it manually, and hoping the column order stays stable next month.

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

Method 1: Manual Copy-Paste

The default. You open the Nango dashboard or use the API explorer, pull connection records or integration configs one screen at a time, and manually populate your Google Sheet.

For a one-time audit, that might be twenty minutes. The second time someone asks for an updated list of all active connections — six weeks later, with the same format, please — you do it again. The third time, you start wondering how the data keeps going stale between the moment you export it and the moment anyone reads it. And the fourth time, you've stopped updating the sheet entirely and nobody trusts the numbers anymore.

Method 2: Zapier or Make

Both platforms have Nango connector options. You can wire up a trigger on a schedule, call the Nango API, and write the result back to your sheet.

Before you go further — do you know what a REST connector is? A polling trigger? JSON path extraction? Field mapping between a nested API response and a flat spreadsheet column? If those phrases feel unfamiliar, skip to Method 3 or 4. This path will cost you more time than it saves.

For those still here: the flow works. A scheduled Zap polls the Nango connections endpoint, extracts the fields you care about, and appends rows to a sheet. Setting it up means authenticating both platforms, picking the right endpoint, mapping every nested field by hand, and handling pagination logic if you have more than a page of connections.

A trigger-per-row approach is not the same as a bulk pull.

If you need 340 connections written to a sheet, that might mean 340 separate API calls, 340 task executions, and a task history that becomes impossible to read when row 212 returns an error and the rest silently skip it.

You probably just need the connection list. You probably have no idea how to wire a paginated REST connector in Make — and that's a reasonable position for someone whose job is running integrations, not building automations. So the ask goes to whoever on your team handles this stuff, and now you're waiting on a Slack reply.

Adding filtering logic, metadata joins, or any kind of conditional inclusion across multiple integrations moves you into territory that Zapier's native capabilities weren't designed for.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable spreadsheet workflows involving API data was a category of add-ons that let you configure endpoints, map column names to JSON keys, and save those configs for reuse. You set the range, tagged the fields, saved the template, ran it.

That was a genuine improvement over copy-paste. The output was consistent, the configs were portable between runs, and your team didn't have to redo column formatting every quarter.

But the template was still your responsibility. The field mapping was still your job. The logic for which connections to include, how to handle missing keys, when to overwrite versus append — all of that lived in your head or in a shared doc that nobody updated. The tool got the data through, but it didn't think for you. And if the Nango response schema shifted, your config broke silently until someone ran it and noticed.

This is the previous generation. Functional, but demanding.

The Easy Way: Using SheetXAI in Google Sheets

There is a different way entirely. SheetXAI is an AI agent that lives inside your Google Sheet. It reads your sheet, understands the context of what you're looking at, and through its built-in Nango integration it can pull connection inventories, push metadata updates, catalog integrations, and make proxied API calls for you. No template to configure, no automation to wire, no endpoint to remember.

Example 1: Export all active connections for a quarterly access review

List all connections from my Nango account and write each connection's ID, provider config key, end user ID, and creation date into a new sheet called Nango Connections

SheetXAI calls the Nango connections endpoint, paginates through all results, and writes each record as a row — provider config key in column B, end user ID in column C, creation date in column D.

Example 2: Bulk-update metadata from a tagging sheet

For each row in my sheet with a connection_id in column A and a metadata JSON object in column B, update that Nango connection's metadata and write the update status in column C

The pattern: instead of manually iterating a list and patching each connection via the API one at a time, you describe the operation once and SheetXAI handles the iteration, the API calls, and the status writebacks inline.

Try It

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