Updated July 2026
Google Sheets is convenient for sharing, cleaning, and reviewing wishlist data without installing desktop software. A simple sheet also makes assumptions visible before the products enter a more specialized workflow.
Keep the sheet factual. Separate fields copied from Amazon from costs, estimates, and decisions added by your team.
Quick answer
Create a sheet with one product per row, paste or import the wishlist data, keep URLs and identifiers as plain fields, format barcode columns as text, remove duplicates, and add seller-specific cost and review columns before analysis.
Before moving the list data into another workflow, make sure these points are covered.
Add columns for product_title, amazon_url, asin, barcode, variant, quantity, displayed_price, acquisition_cost, notes, and review_status. Freeze the header row and enable a filter.
Use a source tab for untouched imported data and a working tab for cleaning or calculations. This gives you a simple fallback when a formula or cleanup step changes the wrong rows.
If you already have a CSV, use File, Import, Upload, and insert a new sheet. For a short list, paste one field at a time or use a temporary raw column before splitting the data.
Never paste account passwords, private addresses, recipient names, or unrelated registry information into a shared research sheet.
Format ASIN and barcode columns as plain text. Trim extra spaces and deduplicate using URL plus variant. Keep a review flag for rows missing a stable identifier.
Test a few product URLs manually. Confirm that the link opens the expected marketplace and variation.
Add actual acquisition cost, expected selling price, fees, profit, ROI, restriction status, price review, and next action. Protect formula columns if several people edit the sheet.
For a small list, individual calculators may be enough. For hundreds of products, export the clean rows and use a bulk workflow so every item receives the same calculations and checks.
Rocket Source matches identifiers to Amazon listings, calculates profit and ROI, adds historical pricing context, and helps you filter a large list with consistent rules.
Compare Rocket Source plansGoogle Sheets can import a CSV, but it does not provide a dependable built-in Amazon wishlist connector. First obtain the list data through an authorized manual or browser-supported workflow.
Format the identifier column as plain text before pasting or importing the values.
Sheets is useful for cleaning and simple calculations. A specialized bulk workflow is better when you need listing matching, current fees, pricing context, restrictions, and repeatable filters across many products.