How to Connect Stormglass.io to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Stormglass.io

You have an Excel workbook full of coordinates — port locations, solar farm candidates, survey waypoints — and you need weather forecasts, tide tables, elevation values, or station data written into the adjacent columns. For all of them. Repeatedly.

Stormglass.io aggregates high-resolution marine and land weather data from trusted meteorological institutions. But the path from a column of lat/lng pairs to a filled workbook runs entirely through the Stormglass API. The default flow looks like this: you open the Stormglass documentation, find the endpoint for the data type you need, write a Python or VBA script that iterates your rows, run it, parse the JSON, and paste field values into the right cells — then figure out what broke when row fourteen comes back empty.

Below are four ways teams approach this. Only the last one doesn't ask you to become an API developer.

Method 1: Manual Copy-Paste

The manual path usually starts with a CSV export of your coordinate list, a batch of API calls run through a curl command or Postman, and a round-trip back into Excel. For a handful of points it's manageable. You paste the wave heights, wind speeds, and temperatures, line everything up by row, close the loop.

Then someone adds eight more sites to the list. The CSV gets re-exported, the calls get rerun, the paste starts from scratch.

What grinds people down isn't the single session — it's the third time you're doing the same twelve-step shuffle for a list that keeps changing.

Method 2: Power Automate

Power Automate can call the Stormglass API. You set up a flow that reads rows from your Excel table, passes lat/lng to Stormglass, parses the JSON response, and writes field values back into the workbook.

Quick question before you go further — do you know how to configure an HTTP action with a custom header for API key auth? How to parse a JSON array and extract a specific property by name? How to update an Excel table row by its key field? If those steps aren't second nature, this isn't your fastest path. Method 4 will get you there without the configuration overhead.

If you're still here: the flow works once it's wired correctly. You pick the right Stormglass endpoint, handle the response schema, map fields to your column names, and set a recurrence trigger. Real automation.

But a per-row flow is not the same as a bulk run.

Fifty coordinates means fifty HTTP calls, fifty parse steps, and a run history that becomes impossible to debug when row thirty-one returns a 429 and the flow silently stops.

You probably just need the wind speed values for your planning report. You probably have no idea how to debug a Power Automate throttling error — and you shouldn't have to. So you either figure it out yourself at 10pm, or you wait for the person on your team who builds these flows to get back from leave.

And once you need conditional logic — only rows flagged as "active sites," or only coordinates within a certain distance of the coast — you've moved well past what a row-by-row trigger can handle natively.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the closest repeatable option was a category of add-ons that let you configure API calls through a form interface. You filled in the endpoint, mapped input columns, mapped output columns, saved a template, and ran it.

That was a real step up from one-at-a-time copying. Configs were reusable, output formats were consistent, and the team could hand the template off without re-explaining the field mapping.

But you were still responsible for knowing the Stormglass endpoint structure, handling multi-value responses manually, and managing what happened when a coordinate returned no data. The tool moved the data through, but the operator was still doing all the design work. And when the workbook structure changed — a column rename, a new site type — the config needed to be rebuilt.

That was the previous generation. Reliable plumbing, but still very much your pipe to design.

The Easy Way: Using SheetXAI in Excel

There is a different approach. SheetXAI is an AI agent that lives inside your Excel workbook. It reads your coordinate table, understands what each column represents, and through its built-in Stormglass.io integration it can fetch forecasts, tide events, solar data, or elevation values across every row for you — in a single request. No endpoint mapping, no JSON parsing, no script to maintain. You just ask.

Example 1: 7-day forecast written across a coordinate table

Get the Stormglass 7-day weather forecast for every coordinate row in my Excel sheet and fill in columns C through F with air temperature, wind speed, wave height, and visibility for each location.

SheetXAI reads all coordinate rows, queries Stormglass once per location, and writes the four forecast fields into the correct columns. Rows with missing coordinates get flagged instead of silently skipped.

Example 2: Tide predictions expanded into a second worksheet

Pull tide predictions from Stormglass for every coordinate row in my Excel sheet for the next 7 days — paste each high/low tide event with timestamp and sea level height as a separate row in Sheet2.

The pattern: instead of a summary value per row, you get the full event series for each coordinate, expanded into the target worksheet. SheetXAI handles the one-to-many structure without any additional configuration.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with a table of coordinates — survey waypoints, port locations, offshore sites — then ask it to pull Stormglass data for your list. The Stormglass.io integration is included in every SheetXAI plan.