The Accept List in ScoutIQ is a useful way to export the items triggered as an Accept by your Smart Triggers.
You can find the Accept List in the Home tab of the ScoutIQ 2 app and the Analytics tab of the ScoutIQ app.
From there, you can view your accepted scans, download them as a CSV file, and prepare that file for use in InventoryLab or another listing workflow.
If you are using ScoutIQ 2 as well, you may also want to explore the Buy List, which is designed for the items you actually choose to purchase and allows you to record key details while sourcing.
🎥 Download Your Accepted List & Prep For InventoryLab
Prefer to watch it in action? This quick walkthrough shows you how to download your Accepted List from the Analytics tab, tidy up your file, and get it ready to import into InventoryLab.
Where to find the Accept List in ScoutIQ 2 & ScoutIQ
The Accept List is available in the Home tab of the ScoutIQ 2 app and the Analytics tab of the ScoutIQ app:
ScoutIQ 2:
ScoutIQ:
After adjusting your date range to the timeframe you want to review:
Tap View All or View Details:
Tap Download CSV:
You can then:
Save the file to your phone or cloud storage (Google Drive, Dropbox, etc.).
Email it to yourself.
Or import it directly into your listing software of choice.
Tip: If you upload the file to Google Drive and it does not open correctly in Google Sheets right away, download it to your computer and re-upload it.
What’s in the CSV download?
Column | Description |
Date | When you scanned the item |
ASIN | The item’s Amazon Standard Identification Number |
Title | The product title |
Thumbnail | Image of the item (if scanned in Live mode) |
Category | Product category |
eScore | eScore at the time of scan |
Amazon Sales Rank | Rank at the time of scan |
Amazon Price | Amazon’s price (if Amazon was on the listing) |
Estimated Profit | Your profit after fees, based on trigger settings |
List Price | The Target/List Price used by your triggers |
Quantity | Defaults to 1 for each item |
Cost Per Unit | Defaults to 0 — fill in manually for now |
Supplier | Blank — add store or source name if desired |
Condition | Blank — required for Amazon compliance |
Preparing Your File for Import
Before you upload your file into InventoryLab or Amazon Seller Central, take a few quick steps.
1. Adjust Quantities
Each scan defaults to a quantity of 1.
If you bought multiples, update the total and delete duplicate rows.
Quick tip: In Google Sheets or Excel, use the Data Cleanup tool to remove duplicates fast.
2. Add Buy Costs
Until the next update (which will sync your in-app Buy Cost automatically), enter your cost per item manually.
If you have standard prices (like $1 per book), enter once and drag down to fill.
3. Add Supplier Info (Optional but Recommended)
This column lets you track profitability by store or source.
Since your list is ordered by scan time, items from the same store are already grouped together — type the name once and drag down to fill.
4. Add Product Conditions (Required)
Before importing, you must set a condition for each item to meet Amazon’s guidelines.
Condition must be entered in the exact format used here to be compatible with InventoryLab.
New
Used – Like New
Used – Very Good
Used – Good
Used – Acceptable
Collectible – Like New
Collectible – Very Good
Collectible – Good
Collectible – Acceptable
Refurbished
⚠️ Important: If you skip this step, InventoryLab will default everything to New — meaning you’ll have to fix it manually later.
💡 Pro Tip: Many sellers default to “Used – Very Good,” fill that down the column, and only edit the few that differ.
Accept List vs. ScoutIQ 2 Buy List
The Accept List is best for reviewing and exporting the items your triggers marked as Accept.
The ScoutIQ 2 Buy List is best when you want to track the items you actually purchased and record important listing details at the time of sourcing.
With the Buy List, you can enter details such as cost, quantity, source/supplier and condition in the Add to Buy List Workflow at the time of purchase, which will mean less cleanup later when preparing your list for InventoryLab.