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

The Problem With Getting Sheet Data In and Out of Foursquare

You have a Google Sheet full of data — competitor store addresses, candidate site coordinates, FSQ place IDs collected from a prior export. You need Foursquare's venue data enriched against those rows, or you need tips and photos pulled back in, in a way that doesn't eat your entire Tuesday.

Foursquare is good at returning structured location intelligence: venue names, categories, ratings, nearby POI counts, user tips, and photo metadata. But moving that data into your spreadsheet is more work than it looks. The default flow is hitting the Places API endpoint by endpoint, copying JSON responses into a spreadsheet one venue at a time, and repeating across however many rows you have.

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

Method 1: Manual Copy-Paste

Open Foursquare's developer console, run a search query for each address or FSQ ID, inspect the JSON response, and copy the fields you need — venue name, category, rating — into the right columns by hand.

For a single venue this takes maybe two minutes. For 50 venues it takes the better part of an afternoon. For 200 venues, it's a full day of work you won't get back, and somewhere around row 80 you'll start misaligning columns without noticing.

The real grind isn't the first session. It's when the list updates — new addresses get added, old ones change — and you have to do it all again. Location data ages fast. That dataset you built last quarter is already stale.

Method 2: Zapier or Make

Both platforms have Foursquare connector options. You can wire up a trigger on a new row in your sheet, call the Foursquare Places API, and write the venue data back into the corresponding row automatically.

Before you go down this path — a quick question. Do you know what a webhook trigger is? A response parser? How to map nested JSON fields to flat spreadsheet columns? How to authenticate against a Places API key in an automation platform? If any of those feel unfamiliar, this isn't your fastest route. Jump ahead to Method 3 or 4.

If you're still here: yes, the automation works. You set up a trigger on new rows, configure the Foursquare action, map each field from the API response to the right column, and deploy. It runs.

But a row-by-row trigger automation is not the same as a bulk enrichment.

Running 200 addresses through a Zap means 200 separate API calls, 200 trigger fires, and a task log that becomes very hard to debug when address 47 returns no match and addresses 48 through 200 silently write blanks.

You probably just need the venue data. You probably have no idea how to set up response parsing for nested Foursquare JSON — and honestly, that's not supposed to be your job. So you send it to whoever on your team handles automations, and now you're waiting on a Slack message while the deadline keeps moving.

And the moment you want to filter — only venues with a rating above 8, only competitors in a certain category — you've left the automation's native capability behind entirely.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best repeatable option for spreadsheet ↔ API enrichment workflows was a category of add-ons that let you configure endpoint mappings and save them as templates. You chose your column range, you mapped your fields, you saved the config, and you ran it on demand.

That was a genuine improvement over copy-paste. The output was consistent, the team didn't have to redo the column mapping every run, and non-developers could at least execute the workflow once it was configured.

But the template design, the field mapping, the conditional logic about which rows to include — that was all still on you. The tool got the data through; the thinking stayed with the operator. And when Foursquare updated an endpoint or you renamed a column, the config broke until someone went back in and fixed it manually.

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

The Easy Way: Using SheetXAI in Google Sheets

There is a different approach entirely. SheetXAI is an AI agent that lives inside your Google Sheet. It reads your data, understands what you're looking at, and through its built-in Foursquare integration it can enrich your rows or pull venue data for you — no template configuration, no automation glue, no copying JSON by hand. You just ask.

Example 1: Bulk-enrich a list of addresses with venue data

For each address in column A, search Foursquare and write the matched venue name, category, Foursquare ID, and rating into columns B through E

SheetXAI runs the search for each address, resolves the best match, and writes the four fields across the row. Addresses that return no confident match get a flag in column F so you can review them separately.

Example 2: Count nearby competitors around candidate sites

For each lat/lng pair in columns A and B, search Foursquare for nearby coffee shops within 500 meters and write the total count into column C and the top 3 venue names into column D

The pattern: instead of running separate queries and then aggregating the results, you ask for both the filter and the output in one prompt. SheetXAI handles the conditional logic across all rows in a single pass.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with a list of addresses, FSQ IDs, or coordinates, then ask it to do one of the tasks above. The Foursquare integration is included in every SheetXAI plan.