How to Connect Melo to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Melo

You have an Excel workbook full of target communes, budget thresholds, and property pipeline notes — and you need that data connected to Melo, the French real estate data platform, in a way that doesn't take most of your morning each time.

Melo is good at delivering real-time, deduplicated French property listings and market analytics across every commune. But moving data between Melo and your workbook is more work than it should be. The default flow involves pulling listings or city indexes from the Melo interface, exporting a CSV, and reformatting everything to match whatever your workbook expects.

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

Method 1: Manual CSV Export

The default. Export from Melo, open the CSV in Excel, clean the column headers, paste what you need into your working workbook. French property markets move fast — communes become searchable, listings get deduplicated, budget filters need updating — so you end up repeating this every week.

What grinds people down is not the individual export. It is that by the third week, every step feels identical. Same columns, same cleanup, same reformat. The only thing that changes is the date in the filename.

Method 2: Power Automate

Power Automate can bridge Melo and Excel. You can schedule a flow, call the Melo API, and write results into a table in your workbook.

Before you go further — do you know what a REST connector is? An HTTP action? A data operation with field mapping? If those are unfamiliar, this is not your path. Skip to Method 3 or 4.

If you are still here: setup involves authenticating against the Melo API, building an HTTP action with the right endpoint, mapping every returned field to a column in your Excel table, and handling any schema mismatches. Once running, it runs reliably.

But a row-by-row flow is not a bulk export.

Running eighty communes through a loop means eighty API calls, eighty flow executions, and a run history that is impossible to debug when commune number 43 returns a 404 and the rest silently continue.

You probably just need the Île-de-France city list and a coverage flag. You probably have no idea how to configure a Power Automate HTTP action against the Melo API — and that is a completely reasonable position. So you hand the task to whoever on your team builds flows, and now you are waiting on a calendar invite. Whether they get to it before your acquisitions review is another matter.

Cost and complexity grow the moment you chain steps: filter by region, deduplicate by commune ID, join against a target list in a second worksheet. Each requirement adds a new action and a new failure point.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable workbook ↔ Melo workflows was a category of add-ons that let you configure column mappings and save templates. You picked your range, tagged your fields, saved a config, and ran it.

That was a real step up from CSV exports. Output was consistent, configs were reusable, and the team did not have to redo formatting every run.

But you were still responsible for the template design, the field mapping, the schedule, the conditional logic about which cities to include, the renaming of columns when Melo's schema changed. The tool moved data through, but the thinking stayed on you. And the moment your target-city list grew or your budget filters shifted, your config broke until someone went back in and fixed it.

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

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 are looking at, and through its built-in Melo integration it can push to or pull from Melo for you. No template configuration, no automation glue, no reformatting exports by hand. You just ask.

Example 1: Pull all available Melo cities into a reference worksheet

Pull the full list of Melo cities into this Excel sheet and sort them alphabetically, then count how many cities are available and put the total in cell D1

SheetXAI calls the Melo city index, writes each result into a row in alphabetical order, and drops the count into D1. You have a clean reference worksheet ready to work against.

Example 2: Export saved searches with high-value budget rows flagged

Pull all my Melo saved searches into this Excel workbook and for any search where the max budget exceeds 800000, highlight the row in yellow so I can review high-value searches separately

The pattern: instead of pulling the data first and then applying the formatting logic, you describe both in one prompt and SheetXAI handles the conditional thinking inline.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with a Melo city list or property pipeline, then ask it to do one of the tasks above. The Melo integration is included in every SheetXAI plan.