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 an Excel workbook with 200 request IDs staged in a table called StaleRequests. 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 of the StaleRequests table, navigate to the ASIN Data API dashboard, find the correct collection, search for the request, confirm the delete.
- Go back to the workbook. 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 the table 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 Excel workbook. It reads the IDs already in your table, 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 worksheet.
Here's the prompt for this task:
Read the Excel table 'StaleRequests' — column A has request IDs, column B has the collection ID. Delete each request from its collection in ASIN Data API and write the result in column C.
What You Get
- Column A: Request IDs from the StaleRequests table — unchanged
- Column B: Collection IDs — unchanged
- Column C: "Deleted" for every successfully removed request, or the specific error message for any that failed (not found, already deleted, wrong collection)
- A complete row-by-row audit trail, ready to hand off or archive
What If the Data Is Not Quite Ready
All requests are in the same collection — no per-row collection ID needed
Read request IDs from column A of the StaleRequests sheet. Delete each from ASIN Data API collection [ID]. Write 'Deleted' or the error message in column B. Skip any blank rows in column A.
You want to verify existence before deleting
Check whether each request ID in column A of the StaleRequests sheet still exists in ASIN Data API collection [ID]. Write "exists" or "not found" in column B. Do not delete anything yet.
Some rows are duplicates that should be collapsed before deleting
Read the StaleRequests sheet. Deduplicate column A — if the same request ID appears more than once, keep the first occurrence and mark duplicates "duplicate" in column C. Then delete each unique request from ASIN Data API collection [ID] and write 'Deleted' or the error in column D.
Full cleanup: dedup, delete, and write a summary report in one shot
Read the StaleRequests sheet. Remove duplicate request IDs from column A — write unique IDs back to column A, mark duplicates in column C as "duplicate." Delete each unique request from ASIN Data API collection [ID]. Write 'Deleted' or error in column D. Write a summary in column F: total unique IDs, total deleted, total failed, total duplicates removed.
One prompt handles the deduplication, the bulk delete, the result writeback, and the summary — no staging required.
Try It
Get the 7-day free trial of SheetXAI and open the Excel workbook 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 an Excel workbook — and the full ASIN Data API overview covers all four ways to connect.