How to Connect Foursquare to Excel (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of Foursquare

You have an Excel workbook full of data — competitor addresses across markets, a column of FSQ IDs from a prior data pull, candidate site coordinates waiting on enrichment. You need Foursquare's venue data mapped against those rows, or tips and photo URLs pulled back in, without spending a full day doing it by hand.

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 workbook is more work than it looks. The default flow for Excel users is exporting a CSV, running API queries against it in a separate tool, and then re-importing the enriched file — a loop that compounds every time the list changes.

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

Method 1: Manual Copy-Paste

Export your address list as a CSV, run Foursquare API queries against each row in a separate tool or browser session, copy the venue name, category, and rating back into the workbook by hand.

For a handful of venues this is manageable. For 50 it starts to wear. For 200, you're looking at a full afternoon of switching between windows, and somewhere around row 70 you'll start second-guessing whether you pasted the right venue into the right row.

What specifically kills you over time isn't the one-time setup — it's the recurring version. Location datasets aren't static. New sites get added. Existing addresses get revised. And each update means running the same process again from scratch.

Method 2: Power Automate

Power Automate has support for calling external APIs, including Foursquare. You can configure a flow to trigger on a new row in an Excel table, call the Places API, parse the response, and write the results back.

Quick check before you go further — do you know what a Power Automate action is? How to configure an HTTP request step? How to extract a nested field from a JSON response and map it to an Excel column? How to handle a 404 when no venue matches? If those aren't familiar, this isn't the right path for you. Skip ahead to Method 3 or 4.

For those still reading: the flow works. It takes meaningful time to set up correctly, but once it's running, new rows get enriched automatically.

The problem is what it can and can't do.

A row-triggered flow is not a bulk enrichment tool. Running 200 addresses through Power Automate means 200 separate HTTP calls, 200 flow executions, and a run history that becomes genuinely difficult to audit when the 23rd row returns a partial match and the 24th returns nothing at all.

You probably just need venue names and ratings in your workbook. You probably have no idea how to configure HTTP response parsing in Power Automate — and that gap is not really your problem to solve. So you either spend a weekend learning it or you hand it off to whoever manages the tooling, and now you're waiting.

And once you need filtering — only venues above a rating threshold, only certain categories — the native flow capability isn't built for that.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best repeatable option for Excel ↔ external API workflows was a category of add-ons that let you configure endpoint mappings and column targets in a saved template. You set it up once, and the team could run it on demand.

That was a real improvement. Consistent output, reusable configs, no formatting rework every run.

But designing the template, mapping the fields, writing the conditional logic — that was still operator work. The tool moved the data; the thinking stayed with whoever built the config. And when Foursquare changed an endpoint or you restructured the workbook, the config broke until someone fixed it by hand.

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

The Easy Way: Using SheetXAI in Excel

There is a different approach entirely. SheetXAI is an AI agent that lives inside your Excel workbook. 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 JSON parsing by hand. You just ask.

Example 1: Bulk-enrich a column 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 with no confident match get flagged in column F for manual review.

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 queries and aggregating results in separate steps, you ask for both the filter and the output together. SheetXAI handles the logic across all rows in one pass.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook 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.