How to Connect IP2Location to Google Sheets (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of IP2Location

You have a Google Sheet full of IP addresses — login attempts, sign-up registrations, web analytics exports, transaction records. You need each one enriched with country, city, ISP, proxy status, and whatever else IP2Location returns. The output has to land back in the sheet, in the right columns, before the report is due.

IP2Location is good at turning raw IPs into structured geographic and network intelligence. But the gap between "I have a list of IPs" and "those IPs have country, city, and proxy flags in my sheet" is where everything slows down. The default path is to export the IPs, use the API or web UI to check them individually or in batches, download the results, reformat the columns, and paste them back in — every single time the list changes.

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

Method 1: Manual Copy-Paste

The default. You copy a block of IPs from column A, paste them into the IP2Location web tool, wait for the results, download a CSV, open it, match up the columns, and paste the enriched fields back into your sheet next to the original rows.

For thirty IPs, that's twenty minutes of mechanical switching between browser tabs.

For three thousand IPs — which is not unusual for a weekly fraud review or a traffic analysis export — that same sequence becomes a multi-hour ordeal. And if the sheet structure changes (a column gets renamed, a new data source adds a slightly different format), you're rebuilding the paste logic from scratch.

The data doesn't get stale while you're doing this. But your willingness to do it again next week very much does.

Method 2: Zapier or Make

Both platforms have IP2Location connector options. You can set up a trigger on a new row in your sheet, call the IP2Location API, and write the result back to the adjacent columns.

Before you go further — a few honest questions. Do you know what a webhook trigger is? A field mapping? How to authenticate against a REST API through an automation platform? How to handle rate limits and batch sizes in a Zap? If any of those feel unfamiliar, this path is not for you right now. Skip to Method 3 or 4.

If you're still here: the flow does work. You set a trigger on new rows in the sheet, call the IP2Location endpoint, map the response fields to your columns, and save. When a row lands, the automation fires.

The problem is what it can't do.

A trigger-per-row architecture means one API call per IP address. If you need to enrich five thousand IPs from last week's export, that's five thousand individual trigger fires — and a task history that becomes nearly impossible to debug when row 847 returns a null city and rows 848 through 850 silently skip.

You probably just need the country and proxy flag for each IP in column A. You probably didn't sign up to learn Zapier's authentication flow and field-mapping interface. So you hand this off to whoever on your team builds automations, and now you're parked in Slack waiting for them to come up for air. If the sprint isn't wrapping up soon, that could be a while.

And once you need to filter by proxy type, count by country, or join against a second tab of approved regions — you've left the automation's native capability behind entirely.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable sheet ↔ IP2Location workflows was a category of add-ons that let you configure column mappings and save query templates. You picked your IP column, tagged the output fields, set a refresh schedule, and ran it.

That was a genuine improvement over copy-paste. Results were consistent, templates were reusable, and the team didn't have to re-describe the mapping each time.

But you were still responsible for configuring which fields to pull, which columns they should land in, what to do about empty results, and how to handle IPs that returned errors. The add-on moved the data — the thinking was still yours to do. And if your sheet structure changed or IP2Location updated their response schema, your saved config broke until someone went back in and fixed it.

This is the previous generation. It worked. It asked a lot.

The Easy Way: Using SheetXAI in Google Sheets

There is a different way entirely. SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands your column layout, and through its built-in IP2Location integration it can enrich, flag, summarize, and analyze your IP data without any template configuration or automation glue. You just ask.

Example 1: Bulk enrich a list of flagged login IPs

For each IP address in column A, call IP2Location bulk lookup to retrieve country, region, city, ISP, and proxy status, then write the results to columns B through F.

SheetXAI batches the IPs in groups of 1,000, calls the IP2Location API, and writes country, region, city, ISP, and proxy flag into the correct columns row by row. Rows where the lookup returns no result get a clear "not found" marker so nothing silently blanks out.

Example 2: Flag suspicious rows inline after enriching

Flag every row where the proxy status in column F is TRUE or the country in column B is not on my approved-country list in the reference tab — write REVIEW in column G.

The pattern: enrichment and conditional flagging happen in one prompt. You don't need to enrich first, then write a formula, then apply a filter. You describe the logic once and SheetXAI handles the sequence.

Try It

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