The Scenario
You are a real estate investor and the acquisition pipeline is getting unwieldy. You have an Excel workbook with 150 property addresses you have been collecting for three months — some from off-market leads, some from driving neighborhoods, some from a wholesaler's list. The workbook has the addresses. Nothing else.
Before you spend time analyzing any of them, you need the basics: estimated value, square footage, owner name, last sale date, and whether any are in foreclosure. Your analyst used to run this manually through county records websites. He left in March.
The bad version:
- Pull the first address into Data247's property lookup tool, copy the estimated value, paste it into column B, copy the square footage, paste it into column C, continue for owner name, last sale date, and foreclosure status.
- Do this for address 2. Address 3.
- After 90 minutes, you have covered 18 rows and you still have 132 to go, plus the data you captured for the first 18 is already slightly inconsistent because the portal returned the format differently for a few rows.
Your time is worth more than this.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook. It reads the address column, runs Data247's property data append on every row, and writes estimated value, square footage, owner name, last sale date, and foreclosure status into the columns you specify — the whole 150-row workbook in one operation.
Enrich all 150 property addresses in my Excel sheet using Data247 property append and add columns for home size, estimated value, owner name, and whether the property is in foreclosure
What You Get
- Home size column: square footage on record for each property
- Estimated value column: Data247's appraised estimate
- Owner name column: current registered owner
- Foreclosure column: Yes or No for each address
- Rows where Data247 returns no property record get a blank across the enrichment columns — those addresses may need manual county record lookup
What If the Data Is Not Quite Ready
Addresses are split across multiple columns
My workbook has street address in column A, city in column B, state in column C, and zip in column D. Use Data247 to fetch property data for each row and write estimated value in column E, square footage in column F, owner name in column G, and last sale date in column H.
You want last sale date as well
For each address in column A, use Data247 property append and write estimated value in column B, square footage in column C, owner name in column D, last sale date in column E, and foreclosure status in column F.
You want to filter to only properties under a certain estimated value
Run Data247 property data append for all 150 addresses in column A. Write estimated value in column B, square footage in column C, owner name in column D, and foreclosure in column E. Then filter the workbook to show only rows where estimated value is below 400000.
Enrich, filter, and rank acquisition targets in one shot
Fetch Data247 property data for all 150 addresses in column A. Write estimated value in column B, square footage in column C, owner name in column D, last sale date in column E, and foreclosure in column F. Filter to show only rows where column F is Yes or column B is below 350000. Sort those rows by column B ascending.
You go from an unworked address list to a filtered, ranked acquisition shortlist in one prompt.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with a column of property addresses you need to evaluate, then ask it to run Data247 property data append across every row and write back the key metrics. See also the postal address verification spoke to clean up any malformed addresses before running the property lookup.