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

The Problem With Getting Sheet Data In and Out of Placekey

You have a Google Sheet full of location data — store addresses, delivery stops, commercial properties, retail partner sites. You need a Placekey for each one so you can join this list with foot traffic data, a third-party POI dataset, or a routing tool that speaks standard location IDs.

Placekey is good at assigning a universal, stable identifier to any physical address — one that other datasets already use, so joining is a matter of matching keys rather than fuzzing addresses. But getting your address columns through the Placekey API, in bulk, without writing any code, is more friction than it looks. The default path is to export your sheet as a CSV, hand it to whoever on your team knows Python or Postman, wait for them to run the batch call, and import the result back into your file.

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

Method 1: Manual Copy-Paste

The default. You open the Placekey web lookup or their developer console, type in an address, get back the Placekey, and paste it into column E. One row at a time.

If you have 50 locations, an afternoon disappears. If you have 500, you are looking at multiple sittings, a high chance of row-offset errors, and the nagging knowledge that the moment you add new locations you are starting over. Placekey IDs are built for machine-to-machine matching at scale — doing that lookup by hand is the equivalent of running a SQL join by reading two printouts side by side.

Method 2: Zapier or Make

Both platforms have Placekey connector options. You can set up a trigger on a new row in your sheet, call the Placekey lookup API, and write the returned ID back into column E.

Before you read any further — do you know what a trigger condition is? Field mapping? JSON parsing? Rate limit handling for batch calls? If those don't feel like things you'd comfortably configure in an afternoon, skip down to Method 3 or 4. You'll get there faster.

If you're still here: the setup is doable. You authenticate to Placekey's API, map your address columns to the right parameters, and wire the response back to your sheet. When it works, it works.

But a row-at-a-time trigger is not a bulk call.

Sending 2,000 address lookups through a Zap means 2,000 trigger fires, 2,000 API calls, and a task history that becomes impossible to audit when row 847 returns a null and the automation keeps moving without flagging it.

You probably just need a Placekey column added to your address list. You probably have no idea how to build a batching loop in Make — and you shouldn't have to. So you hand this to whoever on your team is comfortable with the automation tooling, and now you're waiting for a Slack reply while the mapping project sits idle.

And if you ever need to filter which rows get submitted — based on country code, or completeness of the address, or whether the Placekey column is already populated — you've left the automation's native logic behind entirely.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the most practical path for teams without an automation engineer was a category of spreadsheet add-ons that let you configure an API call, map your columns, and save a template you could re-run.

That was a genuine improvement. You could run a batch call without writing code, the column mappings were saved, and the result went back into the sheet automatically.

But you still had to design the column mapping yourself. You had to know which Placekey parameters correspond to which of your address columns. You had to decide how to handle rows with missing postal codes, or addresses outside the US, or locations that return no match. The tool executed the call, but every decision about the call was still yours to make. And when you added a new address format to the sheet, you went back into the config and rebuilt it.

This is the previous generation. Repeatable, but demanding.

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 your address columns, understands what you're working with, and through its built-in Placekey integration it can run a bulk lookup and write the results back — without you configuring a single field mapping. You just ask.

Example 1: Bulk-assign Placekeys to a full location list

For every row in this sheet, submit the address in columns A–D to the Placekey bulk API in batches of 100 and write the returned Placekey to column E

The returned Placekey goes into column E, one ID per row. Rows where Placekey returns no match get a blank cell, not a silent skip — so you can see immediately which addresses need attention.

Example 2: Flag rows that already have a Placekey and skip them

Submit only rows where column E is empty to Placekey using address parts in columns A–D, write the Placekey to column E, and leave rows that already have a value untouched

The pattern: instead of rebuilding your lookup from scratch every time new rows arrive, you scope it to the gap. SheetXAI reads the column state and sends only what needs sending.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with address columns, then ask it to run a Placekey bulk lookup. The Placekey integration is included in every SheetXAI plan.