The Scenario
Your brand manager pings you on a Tuesday afternoon. The quarterly category review is on Thursday. She needs share-of-shelf data — the top 10 Amazon search results for each of 30 product keywords, with titles, prices, ratings, and whether the listing is sponsored. The Excel workbook with the keyword list already exists. The results columns are empty.
The bad version:
- Open Amazon, search keyword 1, screenshot the top 10 results, manually transcribe title/price/rating for each listing into a block of rows in the workbook
- Move to keyword 2, repeat, building out a growing table that is already inconsistent by row 4
- Stop at keyword 12 because the data keeps shifting as Amazon personalizes results mid-session
Forty-five minutes in, you have coverage for a third of the keywords and the data quality is already questionable.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the keyword list, uses Scrape.do to run each Amazon search through a residential proxy so results are not personalized or geo-shifted, and writes a structured results block for each keyword directly into the workbook.
For each search keyword in column A of this workbook, run an Amazon product search via Scrape.do and write the top 10 results — title, price, rating, ASIN, position, and whether the listing is sponsored — into a new block of rows below each keyword.
What You Get
- A results block appears below each keyword row, with 10 rows of product data
- Columns include: position, ASIN, title, price, rating, and a sponsored flag (yes/no)
- Each block is labeled with the keyword so the table is scannable without needing to count rows
- Keywords that return fewer than 10 organic results get however many were available, no padding
What If the Data Is Not Quite Ready
Keywords have extra whitespace and some are duplicates
Clean column A first: trim whitespace from each keyword and remove exact duplicates. Then for each unique keyword, run an Amazon search via Scrape.do and write the top 10 results — title, price, rating, ASIN, position, sponsored flag — in a block below each keyword.
You only want results from a specific category
For each keyword in column A, search Amazon via Scrape.do filtered to the Health and Household category. Write the top 10 results — title, price, rating, ASIN, position — into a block below each keyword. Include only listings that are not sponsored.
You want a flat table instead of keyword blocks
For each keyword in column A, run an Amazon search using Scrape.do and write the top 10 results into the Results worksheet as flat rows. Each row should have: keyword, position, ASIN, title, price, rating, sponsored flag. Start from row 2 — row 1 is the header.
Full pipeline in one shot
Clean column A: trim whitespace and deduplicate. For each unique keyword, run an Amazon product search via Scrape.do and write the top 10 results — title, price, rating, ASIN, position, sponsored flag — as flat rows in the Results worksheet starting from row 2. Calculate the average price for each keyword and write it into a summary row below each keyword block.
One prompt handles the dedup, the scraping, and the summary calculation together.
Try It
Get the 7-day free trial of SheetXAI and open the Excel workbook with your keyword list, then ask it to run the searches and populate your share-of-shelf table. Related: the spoke on pulling Amazon seller offers is useful for competitive sourcing, and the hub overview covers all Scrape.do workflows.