How to Connect IP2Location.io to Excel (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of IP2Location.io

You have an Excel workbook full of IP addresses — sign-up IPs, transaction IPs, server log exports, access records — and you need geographic context: country, city, ISP, proxy status. IP2Location.io returns all of that in a single API call. But getting a column of IPs into that API and the results back into your workbook is a chain of steps that doesn't happen on its own.

The typical Excel flow involves exporting to CSV, running a script or hitting the API manually, reformatting the output, and importing it back — and repeating every time the dataset refreshes.

Below are the four approaches teams use. Only one of them keeps up.

Method 1: Manual Copy-Paste

You export the IPs from your workbook as a CSV, drop them into the IP2Location.io dashboard one at a time (or in small batches), read off the country and city, and type the values into a new column. For a handful of records this is merely annoying.

Once you're doing it for 300 access-log IPs after every security review, the weight of it becomes clear. Every lookup is the same motion. Same tab switch, same paste, same read, same type. By the hundredth row you're making errors you won't catch until someone flags the report.

IP geolocation is machine work. Doing it by hand at scale is the kind of drain that makes people put off the enrichment entirely — which means the data sits unenriched until someone forces the issue.

Method 2: Power Automate

Power Automate has HTTP action support that can call the IP2Location.io API. You can wire up a flow that reads rows from your workbook, calls the endpoint per IP, and writes results back.

Before you go further — are you comfortable building a Power Automate flow? Do you know how to configure an HTTP action, parse a JSON response, and write dynamic values back to a specific Excel cell? If that feels uncertain, this method isn't for you. Method 3 or 4 will get you there faster.

If you're still reading: the flow works, once it's built. You configure the Excel connector to read the IP column, set up the HTTP action to call IP2Location.io, parse the response body for the fields you want, and write each value to the right cell in the right row.

The structural problem shows up when you run it at scale.

A row-by-row flow is not a bulk enrichment.

Processing 500 IPs through Power Automate means 500 HTTP calls, 500 flow runs logged, and a debug history that becomes genuinely painful when row 178 fails silently because the IP field had a trailing space.

You probably just need the country and proxy flag for each IP in column A. You probably have no idea how to build a Power Automate flow with error handling and dynamic output mapping — and you shouldn't have to. So you file a request with whoever manages your business automation tools, and now you're waiting two weeks for something that should have taken an afternoon.

And once you need to filter, aggregate by ISP, or join against a second sheet of known bad actors, you've stepped outside what the flow can handle.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best repeatable option was a category of add-ons that let you configure a column mapping, save a template, and run it on demand. You defined which columns to read and write, saved the config, and ran it.

That was a real improvement. The output was consistent, the config was reusable, and you didn't have to re-map fields every time.

But you were still responsible for all the structural decisions: field mapping, blank handling, output column layout. The add-on moved the data — the logic was still entirely yours to carry. And the moment someone renamed a column in the workbook, the config broke until someone manually went back in to fix it.

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 worksheet, understands the columns, and through its built-in IP2Location.io integration it can send your IPs to the API and write the results back — across every row, in one shot. No config template, no automation builder, no hand-mapping.

Example 1: Bulk-enrich a column of access-log IPs with geolocation data

For each IP address in column A, use IP2Location.io to fetch the country, region, city, ISP, and whether it is a proxy or VPN, then write results to columns B through F.

SheetXAI sends the IPs in batches, parses the response, and writes country, region, city, ISP, and the proxy flag into the corresponding columns — one row per IP, no skipped rows, no manual field matching.

Example 2: Build a country breakdown pivot after enrichment

Create a pivot summary on a new worksheet called 'Country Breakdown' counting how many IPs per country sorted from most to least, and flag any country with more than 20 IPs in column C.

The pattern: instead of enriching first and summarizing separately, you ask for both in one prompt. SheetXAI handles the aggregation and the conditional flag inline.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with a column of IP addresses, then ask it to enrich them with IP2Location.io geolocation data. The IP2Location.io integration is included in every SheetXAI plan.