How to Connect Corrently to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Corrently

You have an Excel workbook full of German postal codes, site coordinates, and energy load profiles. You need Corrently's renewable energy intelligence — green power scores, electricity prices, device schedules — written back against each row, repeatedly, as grid conditions shift.

Corrently is good at delivering hyper-local real-time and forecasted energy data for Germany. But getting that data into Excel, across multiple sites, involves an API workflow that wasn't designed for non-engineers. The default path is CSV exports from a portal that doesn't exist, or manual REST calls that have to be re-run every time the data changes.

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

Method 1: Manual CSV Export and Paste

The default for Excel users. Run your Corrently API queries, copy the relevant fields out of the JSON, paste them into the workbook by hand, and make sure the row order still matches your site list.

For a one-off check this is workable. For 25 facility postal codes that need updated pricing data every few hours, the process breaks down fast.

The wear comes from the mismatch between how fast Corrently's data changes and how slowly you can move values through a terminal and into cells. By the time you've updated row 25, the reading from row 1 is already stale. And if anyone touches the sort order of the workbook while you're mid-update, you're re-checking every cell to make sure the numbers landed in the right ZIP code's row.

Method 2: Power Automate

Power Automate has HTTP connector support, which means you can call the Corrently API on a schedule, loop through your ZIP codes, and write results into Excel via the Excel Online connector.

Quick question — do you know what an HTTP action is in Power Automate? A loop with a variable? A JSON parsing expression? A dynamic content reference from a previous step? If those feel uncertain, this isn't a path worth starting. Skip to Method 3 or 4.

For those still here: the setup works once you're past the auth and schema configuration. You trigger on a schedule, build a loop over your ZIP code list, call Corrently's endpoint, parse the response, and map the fields to your workbook columns.

The structural problem is that Power Automate processes rows one at a time.

Twenty-five ZIP codes means twenty-five separate HTTP calls, twenty-five run log entries, and a flow history that's painful to debug when the postal code in row 18 returns a 404 because an extra space got into the cell value.

You probably just need the price forecast for each site. You probably have no idea how to build a Power Automate flow that loops, handles null values, and writes back conditionally — and that gap isn't something you can close in an afternoon. So it goes to whoever on your team manages Power Automate, and now you're waiting for them to carve out time between their actual job.

And the moment you need to do anything analytical — flag the three cheapest sites, filter to locations above a green-power threshold, calculate the CO₂ delta against last week — the automation can't help. That logic lives in the workbook, and you're back to doing it by hand.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable API-to-workbook workflows was a category of add-ons that let you configure a saved template: here is my endpoint, here are my columns, here is what gets written where. You ran it, it fetched, it filled in.

That was a real step up from copying JSON by hand.

But you were still responsible for knowing the endpoint structure, handling cases where Corrently returned no data for a location, and keeping the column mapping in sync with your workbook layout. The tool moved the data — you still owned all the decisions. And when you renamed a column or restructured the sheet, the config broke and needed manual patching.

This is the previous generation. It worked within limits.

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 the structure — postal codes in column A, site names in column B, device types in column C — and through its built-in Corrently integration it can pull pricing, forecasts, generation mix, and dispatch data for every row. No endpoint configuration, no loop logic, no JSON parsing. You describe what you need.

Example 1: Live electricity prices for all facility ZIP codes

For each German postal code in column A, fetch the current electricity market price and the next 6-hour price forecast from Corrently and write them into columns B and C

SheetXAI queries Corrently for each site, extracts the current price and the 6-hour forecast, and writes the values back. All twenty-five rows. Columns B and C. No loop to configure.

Example 2: Prioritizing sites for high-load scheduling

Get real-time electricity pricing for all ZIP codes in column A from Corrently, identify the 3 locations with the lowest current price, and mark them "PRIORITY RUN" in column D

The pattern: instead of pulling data first and then applying conditional logic, you ask for both in a single prompt. SheetXAI handles the ranking and the writeback inline.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with German postal codes or facility data, then ask it to pull the latest Corrently readings for your sites. The Corrently integration is included in every SheetXAI plan.