The Scenario
You got the data dump on a Tuesday. Sixty property URLs — a mix of Zillow and Realtor.com listings — landed in your inbox from a colleague who has since left the company. Column A is full. Columns B through E say "Price," "Beds," "Baths," "Sqft."
The handoff note said: "just pull the listing data."
The bad version:
- Open URL 1, find the price — it is listed three different ways on the Zillow page depending on whether you are looking at the listing price, the Zestimate, or the price history
- Copy what seems right, paste into B2, track down bedrooms, bathrooms, square footage from the listing summary
- Open URL 2, same exercise, different layout because it is a Realtor.com page and the fields are in different locations
- By URL 25 you have stopped double-checking the Zestimate vs. listing price distinction because it is taking too long
This is supposed to be investment analysis. Right now it is data entry.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads column A, understands the output structure in columns B through E, and through its built-in ZenRows integration it can scrape each listing page and populate the four fields automatically.
For each property URL in column A, use ZenRows real estate scraping to extract the listing price, number of bedrooms, bathrooms, and square footage — write results into columns B through E
What You Get
- Column B: listing price as shown on the page (not Zestimate or estimate variants)
- Column C: bedroom count as a number
- Column D: bathroom count, including half-baths if listed
- Column E: square footage as shown on the listing
- Rows where a field is not found on the page get a note rather than a blank
What If the Data Is Not Quite Ready
Some URLs are for land or commercial properties that do not have bedroom or bathroom counts
For each URL in column A, scrape the listing with ZenRows and write price into column B — populate columns C, D, and E with bedroom count, bathrooms, and sqft only if the fields are present on the page, otherwise write "N/A"
Prices are inconsistently formatted — some show commas, some show K abbreviations
Scrape each property URL in column A with ZenRows and write the listing price into column B — normalize the price to a plain number without commas or abbreviations, and flag any price that could not be parsed into column F
You have a second tab with comparable sales data and want to join it against the scraped prices
For each URL in column A of the Listings sheet, use ZenRows to scrape the listing price into column B — then look up the address in column A against the Comparables tab and write the nearest comparable sale price into column F
Pull all four fields and flag listings where price per sqft exceeds 400
For each URL in column A, scrape price, beds, baths, and sqft using ZenRows into columns B through E — calculate price-per-sqft in column F and highlight any row where it exceeds 400
The extraction and the derived metric happen in one pass.
Try It
Get the 7-day free trial of SheetXAI and open a Google Sheet with property URLs in column A. Ask it to fill in the listing data. Then check the HTTP status audit spoke if you want to verify which URLs are still live before scraping.