The Scenario
Your retail expansion team maintains a running list of competitor locations — 200 addresses, column A, accumulated over the past six months from field reports and publicly available data. The brief going into next week's territory review is to add Foursquare venue data alongside each address: category, rating, FSQ ID. The director wants to see competitive density scored before Thursday.
You've been staring at the workbook since this morning.
The bad version:
- Open the Foursquare developer console, search each address manually, and copy the venue name and rating into the workbook one row at a time
- Somewhere around row 40, you mix up two neighboring venues with similar names and spend 20 minutes backtracking to figure out which rows are wrong
- You get through 60 rows before end-of-day and realize you're not finishing this week
The territory review is Thursday. The workbook has 200 rows. The math doesn't work.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads your data, connects to Foursquare, and enriches your rows without you touching the API or switching tabs.
For each address in column A, search Foursquare and write the matched venue name into column B, category into column C, FSQ ID into column D, and rating into column E. Flag any rows with no confident match in column F.
What You Get
- Columns B through E populated for each address where Foursquare returns a confident match
- Venue names, Foursquare categories (e.g., "Fast Food Restaurant," "Coffee Shop"), FSQ IDs, and numerical ratings
- Column F receives "No match" or a low-confidence flag for addresses that return ambiguous results
- You can sort column F to review the flagged rows as a batch rather than finding them scattered through the workbook
What If the Data Is Not Quite Ready
The addresses are inconsistently formatted — some have suite numbers, some don't, some include country codes
For each address in column A, normalize the format to street, city, state before searching Foursquare, then write venue name into column B, category into column C, FSQ ID into column D, and rating into column E
Some rows have a business name in column B already — use it to improve match accuracy
For each row, use the business name in column B as a hint when searching Foursquare for the address in column A, then overwrite column B with the confirmed Foursquare venue name and write category, FSQ ID, and rating into columns C, D, and E
The list has duplicate addresses — deduplicate before enriching
Remove duplicate addresses from column A, keeping the first occurrence, then search Foursquare for each unique address and write venue name, category, FSQ ID, and rating into columns B through E
The addresses span multiple market worksheets — enrich all worksheets and write a summary count by market into the Summary sheet
For each worksheet named after a market, search Foursquare for each address in column A and write venue name, category, FSQ ID, and rating into columns B through E, then write a row in the Summary sheet with the market name and count of matched venues
The cleanest approach: ask for normalization and enrichment in the same prompt so you're not running two passes.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with a column of competitor addresses, then ask it to enrich each row with Foursquare venue data. Also worth reading: Score Candidate Locations by Nearby Competitor Count and the Foursquare hub overview.