The Scenario
A marketplace seller has been manually tracking competitor prices on Walmart and eBay every Monday morning. The list has grown to 200 products. What used to take an hour now takes most of the morning — and the seller is supposed to be using that time to source new inventory, not run data collection.
The bad version:
- Search product 1 on Walmart, find the lowest listed price, copy it to column B; then search product 1 on eBay, find the average sold price, copy it to column C
- Repeat for product 2, noticing that eBay sometimes surfaces "sold" listings and sometimes active listings depending on the search term phrasing, introducing inconsistency in what you are actually measuring
- Finish 60 products before your morning block runs out, knowing you will have to pick up the remaining 140 later in the week when the data is already stale
The repricing decisions that come out of this data affect margin directly. Making them on partial, inconsistent data is a coin flip.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the product list in column A, calls SerpApi's Walmart and eBay endpoints for each one, and writes the pricing data back side by side — all 200 rows, in one pass. One prompt.
For each product name in column A, search Walmart via SerpApi and fill in the lowest listed price, item title, and seller rating into columns B, C, and D
What You Get
- Column B receives the lowest Walmart listed price from organic results
- Column C receives the item title at that price
- Column D receives the seller rating where available
- Products with no Walmart listings get a note in column E rather than an empty row that could be misread as a zero price
What If the Data Is Not Quite Ready
You want Walmart and eBay side by side in the same row
For each product in column A, search Walmart via SerpApi and write the lowest price in column B; then search eBay via SerpApi for the same product and write the average sold price in column C; leave a note in the respective column if no result is found
Product names in column A are too generic and return wrong categories
For each product in column A, append the brand name from column B to the search query before calling Walmart and eBay via SerpApi, and write the lowest Walmart price and eBay average sold price into columns C and D
You want to flag products where our price is out of range
Search Walmart and eBay via SerpApi for each product in column A, write the lowest Walmart price in column B and the eBay average sold price in column C, and flag in column D any product where our current price in column E is more than 15 percent above both competitor prices
Full repricing pass in one prompt
For each product in column A, pull the lowest Walmart price and eBay average sold price via SerpApi into columns B and C, calculate the lower of the two into column D, compare it to our current price in column E, and write a suggested new price in column F that is 5 percent below the lower competitor price where we are above market
Pricing intelligence and the repricing suggestion in one pass.
Try It
Get the 7-day free trial of SheetXAI and open your product workbook before Monday's repricing session, then ask SheetXAI to pull Walmart and eBay prices for every SKU. Also see the spoke on building a Google Shopping price-tracking sheet, or the hub overview of all SerpApi workflows.