Storefront Stalking Sheet Magic

Turn a few profitable listings into a database of up to 100 storefronts to stalk.

  • Retrieve sellers already competing on your profitable listings
  • Discover ✨ new sellers ✨ to stalk using Keepa’s competitor network
  • Generate a Google Sheet with up to 100 unique storefronts and clickable links
  • Filter sellers by ASIN count, lifetime ratings, and recent activity
  • Automatically remove Amazon, suspected private-label sellers, and really large sellers
  • Manually inspect and remove individual sellers by brand and category
Create My Storefront Stalking Sheet Now ↓

Step 1

Download your Keepa offer files

Start with a few profitable listings and complete these steps for each one.

  1. Pick one of your profitable leads, with the type of sellers you want to stalk and open the Amazon listing page for it.
  2. In the Keepa Chrome extension, click Data → Offers.
  3. Check FBA only and Include historical offers.
  4. Click Export.
  5. Select All active columns and CSV.
  6. Click Export.
  7. Repeat for as many leads as you like.
Click the image to enlarge
Important: Do not choose Only offer deeplink. Upload Amazon.ca and Amazon.com files separately.

Step 2

Upload your CSV files

Select up to 50 Keepa offer files at once, or add them one batch at a time.

No files selected.
Sellers with missing ASIN counts will be included.
Loading store names…

Step 3

Competitor Network

Choose how far you want to expand your seller list using Keepa’s competitor network.

Step 4

Generate your Excel file

Step 5

Open your file in Google Sheets

This file is designed to be opened in Google Sheets.

  1. Type sheets.new into your browser’s address bar.
  2. Click File → Import → Upload → Browse.
  3. Select the Excel file you just downloaded.
  4. Click Open → Import data.
  5. Now you are ready to start storefront stalking!
Privacy note: All data including CSV files and sellerIDs for extra stores are processed and saved in this browser, for future use. They are not saved in the Pacific VA database.