The Scenario
You are a real estate investor and the acquisition pipeline is getting unwieldy. You have a Google Sheet 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 sheet 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 Google Sheet. 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 sheet in one operation.
For each property address in column A of my sheet, use Data247 to fetch property data and write estimated value, square footage, owner name, and last sale date into columns B, C, D, and E
What You Get
- Column B: estimated property value from Data247's database
- Column C: square footage on record
- Column D: current owner name
- Column E: date of the last recorded sale
- Rows where Data247 returns no property record get a blank across columns B through E — those addresses may need manual county record lookup
What If the Data Is Not Quite Ready
You also need foreclosure status
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.
Addresses are split across multiple columns
My sheet 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 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 last sale date in column E. Then filter the sheet to show only rows where column B 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 status in column F. Filter to show only rows where column F is 'Yes' (foreclosure) 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 Google Sheet 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.