How to Connect IPinfo to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of IPinfo

You have an Excel workbook full of raw IP addresses — access log exports, sign-up records, device inventories, fraud review queues. You need each one enriched with geolocation, organization, or privacy data before you can do anything useful with it. IPinfo can give you all of that in bulk.

IPinfo is good at turning a plain IP address into actionable context: country, city, ASN, carrier, company name, abuse contacts, timezone. But the gap between "I have a column of IPs in Excel" and "I have all that context alongside each one" is where the work piles up. The default is to export to CSV, call the API with a script, parse the JSON, and re-import — or hand the whole thing to someone technical.

Below are the four common ways teams handle this. Only the last one skips the infrastructure work entirely.

Method 1: Manual Copy-Paste

The path most people start on. You export a list of IPs from your log tool or CRM to a CSV, open it in Excel, then visit IPinfo's web lookup one IP at a time — copying each result back into the workbook. For Excel users, there's often an extra CSV-export step on both ends that Google Sheets users can skip.

For a handful of IPs this is workable. For two hundred it becomes a manual data entry job. The web UI returns one result at a time: open browser, paste IP, read result, switch to workbook, type the fields in, advance to the next row. The lookup data itself takes seconds — it's the switching and typing that eats the afternoon. And small transcription errors in city names or ASN numbers will quietly corrupt any downstream analysis built on this data.

Method 2: Power Automate

Power Automate has HTTP action support that can call the IPinfo API. You can set up a flow triggered by a new worksheet row or on a schedule, call the IPinfo endpoint, parse the response, and write fields back to your workbook.

Before you continue: are you comfortable with Power Automate's HTTP action? Do you know how to parse a JSON response body and map individual fields to workbook columns? If those questions feel abstract, this isn't your path. Skip to Method 4.

For those still here: the flow works. You authenticate to IPinfo, set up the HTTP action pointing at the single-IP or batch endpoint, use expressions to extract the fields you want, and write them back to the target columns.

But Power Automate fires one row at a time by default.

Running a flow across 3,000 IPs means 3,000 separate HTTP calls, 3,000 trigger executions, and a run history that's impossible to debug when row 1,847 returns a 429 and the rest quietly succeed or silently fail.

You probably just need the country codes and ASN names for your analyst report. You probably have no idea how to configure exponential backoff inside a Power Automate flow — and that's reasonable. So you ask your IT contact to help, and now you're in a ticket queue while the deadline approaches.

And the moment you need to aggregate across the results — top countries, flag distribution, summary pivot — you're back in Excel doing it by hand anyway.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the most repeatable approach was a category of Excel add-ins that let you map an IP column to API output fields, save the configuration, and run it on demand. You set up the template once, and subsequent runs were consistent.

That was a genuine step forward from copy-paste. Configs were reusable, output was predictable, and the team didn't have to redo the field mapping every time the sheet refreshed.

But the template design, the output column selection, the conditional logic about which rows to include, the summary table — all of that was still yours to build. The add-in moved the data through, but the thinking stayed with the operator. And a worksheet rename or a new column insertion was enough to break the config until someone went back and fixed it.

This is the previous generation. It worked, until it didn't.

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're looking at, and through its built-in IPinfo integration it can call the API, enrich your IPs, and write back results — flags, summaries, conditional logic — all from a single prompt.

Example 1: Privacy screening across a registration list

Check all sign-up IPs in column A against IPinfo's privacy detection API and write VPN, proxy, Tor, and hosting flags to columns B through E, then highlight any row where at least one flag is true.

SheetXAI calls the IPinfo privacy endpoint in batches, writes four boolean columns, and applies the conditional highlight in one operation.

Example 2: Carrier segmentation for mobile targeting

Look up carrier info for all IPs in column A using IPinfo and write carrier name, MCC, and MNC to columns B, C, and D, then add a count-per-carrier summary table below the data.

The pattern: enrichment and analysis in one ask. Instead of running the lookup and then building the pivot, you get both from a single prompt. SheetXAI handles the conditional grouping 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 IPinfo geolocation, carrier data, or privacy flags. The IPinfo integration is included in every SheetXAI plan.