The Scenario
You run pricing strategy for an e-commerce brand that sells outdoor gear. Every quarter, you pull competitor pricing from Google Shopping for 50 product categories — what's on the shelf, what it costs, who's selling it.
The last person who did this role built a Python script that hit the Zenserp Shopping API and dumped results to CSV. They left three months ago. Nobody else knows how the script works, and the last time someone ran it, it broke on row 34 because a query returned an unexpected field structure.
The board presentation is in two weeks. The pricing benchmark slide is always in it.
The bad version:
- Search Google Shopping manually for "waterproof hiking boots," note the top three sellers and prices.
- Tab back to the sheet, enter the data in columns B through D.
- Repeat for "trekking poles," "trail runners," and 47 more queries.
- Somewhere around query 20, realize you forgot to record the product IDs and have to start over.
Fifty queries. Three to five results per query. That's up to 250 rows of data to collect by hand, and it needs to happen again next quarter.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet with access to Zenserp's Google Shopping search. You describe the output you want and it runs all 50 queries in one operation.
For each product query in column A, search Google Shopping via Zenserp and write the top 5 results into this sheet with product name, price, seller, and product ID
What You Get
- Columns B–E for result 1: product name, price, seller, product ID
- Same pattern repeating for results 2 through 5 in the adjacent column blocks
- Queries that return fewer than 5 Shopping results get however many are available
What If the Data Is Not Quite Ready
Product queries in column A include category names that return too many irrelevant results
Generic terms like "boots" pull everything from rain boots to work boots. You need more specific queries.
For each product query in column A, append the brand name from column B before running the Google Shopping search via Zenserp. Write the top 3 results — product name, price, and seller — into columns C through E.
You need to flag products where the lowest price is below your cost floor
Column F has your cost floor for each product category. You want to know immediately which competitors are pricing below it.
For each product query in column A, search Google Shopping via Zenserp and write the lowest price found across all results into column B. Compare that price to column F and write "below floor" in column G for any row where the lowest competitor price is less than the cost floor.
Results need to be split by domestic vs. international sellers
You only want to benchmark against US sellers, but some Shopping results return international listings.
For each query in column A, run a Google Shopping search via Zenserp filtered to US results only and write the top 3 results — product name, price, seller — into columns B through D. If a seller appears to be non-US based on the listing, skip it and take the next available result.
Full pipeline: search, extract lowest price, calculate margin, flag red lines
You want the full competitive picture in one pass.
For each product query in column A, run a Google Shopping search via Zenserp and find the lowest price among the top 5 results. Write that price into column B. Divide column F by column B to calculate your margin ratio and write it into column C. Flag any row where the margin ratio is below 1.2 with "review pricing" in column D.
One prompt handles the search, the comparison, and the flag.
Try It
Get the 7-day free trial of SheetXAI and open your pricing benchmark sheet, then ask it to pull Google Shopping results via Zenserp for every product query in column A. If you already have Shopping product IDs and want full spec enrichment, see the product ID enrichment spoke.