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

The Problem With Getting Sheet Data In and Out of Bonsai

You have a Google Sheet full of data — cluster slugs, plan tiers, target regions, capacity thresholds. You need it cross-referenced against what's actually running in Bonsai, or you need what's running in Bonsai written into the sheet for someone who doesn't have API access. The default path is: open the Bonsai dashboard, find the cluster list, screenshot or manually copy each row, and paste into the sheet one record at a time. Across twelve clusters in three regions, that's not a workflow — it's an afternoon.

Bonsai is good at managing hosted Elasticsearch and OpenSearch clusters with minimal operational overhead. But moving the metadata from those clusters into a spreadsheet — or using a spreadsheet to drive Bonsai provisioning decisions — involves more manual work than it should. The usual flow is: open the dashboard, copy by hand, paste, repeat.

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

Method 1: Manual Copy-Paste

The default move is to open the Bonsai dashboard, find the cluster list, and start transcribing. Cluster slug goes in column A, plan tier in column B, region in column C, status in column D. Repeat for each cluster. If you're comparing provisioning spaces across regions, you open the Bonsai docs or dashboard for that view and do the same thing.

For a one-time snapshot, it's fine. The problem surfaces the third time you're doing this in a month — because the team wants a quarterly infrastructure review, then someone asks for an updated snapshot before a migration planning call, then a stakeholder wants to know which clusters are on the legacy plan before renewal. Each time, you're back in the dashboard copying the same fields into a new tab. The clusters change. The plan tiers get updated. The manually maintained sheet starts to drift from reality almost immediately.

Method 2: Zapier or Make

Both Zapier and Make have HTTP / webhook step capabilities that let you call the Bonsai API on a schedule, catch the JSON response, and write fields into a Google Sheet.

Before you invest time here — a few honest questions. Do you know what a REST endpoint is? Have you authenticated against an API before and stored credentials in a third-party automation platform? Do you know how to parse a JSON array and map individual keys to spreadsheet columns? If those questions feel abstract, skip to Method 3 or 4. This path will cost you more time than it saves, at least to get started.

If you're still reading — yes, this can work. You set a scheduled trigger, point it at the Bonsai clusters endpoint, authenticate with your API credentials, and map the response fields to columns. The automation runs on whatever cadence you set.

But a trigger that fires once per run is not the same as a bulk sync. If you want all twelve clusters written into the sheet in one pass, you're mapping an iterable response — which means knowing how Zapier handles arrays, how to use a Formatter step, and how to write back to specific rows without overwriting the previous run's data.

You probably just need the cluster list in the sheet. You probably haven't spent time learning how Zapier handles array iteration. So you either figure it out yourself, or you push it to the engineer on your team who knows automation tooling — and now you're waiting on their backlog.

Cost and complexity climb once you add a second data source, a filter condition, or a sheet that changes structure.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best repeatable option for getting API data into a spreadsheet was a category of add-ons that let you configure an endpoint, define column mappings, save the template, and run it on demand. You chose the range, tagged the fields, saved the config.

That was a genuine improvement over copy-paste. Configs were reusable, output was consistent, and you didn't have to redo the column mapping every time.

But you were still responsible for the endpoint selection, the field mapping, the schedule, and the conditional logic about which clusters to include. The tool moved the data through, but you were still doing all the thinking. When Bonsai changed a field name in their API response, your mapping broke until someone went back and fixed it.

This is the previous generation. It worked. It just asked too much of the operator.

The Easy Way: Using SheetXAI in Google Sheets

There is a different approach entirely. SheetXAI is an AI agent that lives inside your Google Sheet. It reads your sheet, understands what you're looking at, and through its built-in Bonsai integration it can pull cluster data, list provisioning spaces, or cross-reference what's in Bonsai against what's in your sheet — without any configuration. You just ask.

Example 1: Inventory all active clusters

Pull all my Bonsai clusters and write the slug, plan tier, region, and status into this sheet — one row per cluster, starting at row 2

SheetXAI calls the Bonsai API, iterates the cluster list, and writes each field into the corresponding column. You get a complete snapshot without opening the dashboard.

Example 2: Map available provisioning spaces for region planning

List all available Bonsai provisioning spaces and fill columns A through C with the space path, geographic region, and cloud provider

The pattern: instead of opening docs or the dashboard to compare regions manually, you ask for the data and let SheetXAI write it into the sheet. All the cross-referencing happens from there.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet where you're tracking infrastructure — then ask it to pull your Bonsai cluster list or available spaces. The Bonsai integration is included in every SheetXAI plan.