The Scenario
You've been selling on Amazon for three years. New product launches start with a competitive sweep — top 5 results per keyword, title, ASIN, price, and star rating, all in one place so you can build a pricing model and spot gaps in the catalog.
You have 20 keywords in column A. You built this workbook yourself last month, and you know exactly what data you need. What you don't have is a fast way to get it there.
The bad version:
- Open Amazon.com in a browser. Search the first keyword. Screenshot the top 5 results. Go back to the workbook. Type in each title, price, ASIN, and rating by hand. Search confirms you've been staring at this for 20 minutes and you're on keyword 2.
- Try a scraping extension. It grabs 3 of the 5 results correctly and misses the sponsored listings, which are sometimes the most relevant for pricing context.
- Export the Jungle Scout CSV you have from last month. Half the keywords aren't in it. The prices are 6 weeks stale.
Your pricing model is only as good as the data underneath it. Stale or partial data means the model lies to you — and you don't find out until you've already set a price that's 15% above the market leader.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads column A and talks to Composio Search's Amazon catalog tool for every keyword in your list, then writes the results back in the shape you described.
Search Amazon.com for each keyword in column A and write the top 5 results per keyword — title, price, ASIN, rating, and review count — into rows below the keyword, repeating the keyword in column A so each result row is labeled.
One prompt for all 20 keywords. Every result lands in the workbook, structured for pivot analysis.
What You Get
- Column A: Keyword repeated on each result row for easy filtering
- Column B: Product title
- Column C: Current price in USD
- Column D: ASIN
- Column E: Star rating
- Column F: Review count
- Results grouped by keyword in the order they appear on Amazon.com
What If the Data Is Not Quite Ready
You need cross-market pricing from Amazon.de
Your product ships to Germany and you need Euro prices alongside USD for a margin comparison.
Search Amazon.de for each product name in column A and add the Euro price and German star rating to columns D and E for cross-market price comparison.
Some keywords return too many results and you want to filter by rating
You only care about products with at least 4 stars and 100+ reviews.
Search Amazon.com for each keyword in column A, filter results to those with a star rating of 4 or higher and at least 100 reviews, and write the top 5 filtered results — title, price, ASIN, rating — into rows below each keyword.
You want to join Amazon data with your existing cost sheet
You have supplier costs in column B and want Amazon market prices in column C to compute margin in column D.
For each product name in column A, search Amazon.com and write the lowest current price for that item into column C. Then calculate the margin as (column C minus column B) divided by column C and write it as a percentage into column D.
Kill chain: normalize keywords, search all markets, flag below-cost pricing
Trim and lowercase each keyword in column A, search Amazon.com and Amazon.de for the top 3 results per keyword, write title, USD price, EUR price, and ASIN into columns B through E, and flag any result where the Amazon price is lower than the value in column F with 'Below Cost' in column G.
One pass does the cleanup, the enrichment across two marketplaces, and the margin alert simultaneously.
Try It
Get the 7-day free trial of SheetXAI and open your keyword research workbook. Ask it to search Amazon for every row and write structured results back in bulk. See also: Cross-Retailer Price Comparison Into an Excel workbook Using Composio Search or the Composio Search hub.