The Scenario
You've just finished a quarterly product catalog refresh. The old ASINs — discontinued SKUs, bundle variants that got restructured, test entries from the dev environment — are still sitting inside three ASIN Data API collections. A new data contractor is starting Monday, and you'd rather not hand them a collection full of noise. You have a Google Sheet with 200 request IDs that need to go. The question is whether you'll spend the next two hours clicking "delete" one at a time.
The bad version:
- Copy the first request ID from column A, navigate to the ASIN Data API dashboard, find the correct collection, search for the request, confirm the delete.
- Go back to the sheet. Copy the next ID. Repeat.
- Lose track of which IDs you've already deleted when the dashboard's search bar clears on page refresh and you have to cross-reference your sheet by eye to find your spot.
200 rows. One delete at a time. That's a task that turns a competent analyst into a button-clicking machine for an entire afternoon.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the IDs already in your sheet, understands the structure, and through its built-in ASIN Data API integration it can fire the delete operations in bulk and write the result back to the same sheet.
Here's the prompt for this task:
Delete all ASIN Data API collection requests whose IDs are listed in column A of this sheet from collection [ID]. Write 'Deleted' or the error message in column B for each row.
What You Get
- Column A: Request IDs you provided — unchanged
- Column B: "Deleted" for every successfully removed request, or the specific error message for any that failed (not found, already deleted, permission denied)
- A complete audit trail of what happened, row by row, without having to cross-check a separate log
What If the Data Is Not Quite Ready
The collection ID is different for some rows
Read column A for request IDs and column B for collection IDs. Delete each request from its corresponding collection in ASIN Data API. Write the result (Deleted / error) in column C.
You want to dry-run first — check which requests still exist before deleting
Check whether each request ID in column A still exists in ASIN Data API collection [ID]. Write "exists" or "not found" in column B. Do not delete anything yet.
Some rows have blank IDs that should be skipped
Delete all ASIN Data API requests listed in column A from collection [ID], skipping any blank rows. Write 'Deleted' or the error in column B. Write a count of deleted, failed, and skipped rows in column D1:D3.
Full cleanup: deduplicate the ID list, delete, and summarize in one shot
Read column A for request IDs. Remove any duplicate IDs from the list first — write the deduplicated IDs back to column A. Then delete each unique request from ASIN Data API collection [ID]. Write 'Deleted' or the error in column B. Write total deleted, total failed, total duplicates removed in column D1:D3.
One prompt handles the deduplication, the bulk delete, and the reconciliation summary — no need to clean the list first and then run the delete as a separate step.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet where you've staged your stale request IDs, then ask it to delete them from your ASIN Data API collection in one pass. For pulling collection data before you clean it up, see Audit ASIN Data API Collection Requests in a Google Sheet — and the full ASIN Data API overview covers all four ways to connect.