Bulk Fetch StockX Prices for a List of SKUs Into a Excel workbook

The Scenario

You're a sneaker reseller. It's Sunday evening. Your buying call is Monday at 10 AM and you need to know which of the 40 SKUs in your inventory have the best margin to sell this week.

Column A of your StockList worksheet has the SKUs. Columns B, C, and D are empty. The call is in fourteen hours.

The bad version:

• Open StockX in a browser tab, search SKU by SKU, copy the lowest ask and highest bid for each one into the workbook by hand
• Realize mid-way through that some SKUs return multiple colorways and you're not sure which row to use
• Get to row 35 and notice the prices from rows 1-10 are already an hour old

The thing is, your edge in resale is judgment — knowing which items to move, when, and at what margin. Data entry is just overhead. Overhead that costs you an hour every Sunday that could go toward sourcing the next batch.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Excel workbook. It reads your data and, through its built-in Retailed integration, queries StockX on your behalf. No tab switching, no copying numbers one by one.

Read all SKUs in column A of my Excel StockList tab, query StockX via Retailed for each one, and paste the product name, colorway, and price range (low ask to high bid) into columns B, C, and D

What You Get

• Column B: product name matched to the SKU
• Column C: colorway string from the StockX listing
• Column D: price range formatted as low ask to high bid
• Rows where the SKU returns no match get a note in column E rather than being left blank

What If the Data Is Not Quite Ready

SKUs have inconsistent formatting — some with dashes, some without

For each SKU in column A of the StockList tab, normalize the format by removing spaces and hyphens, then fetch StockX data via Retailed and write the product name and lowest ask into columns B and C

Some rows are missing SKUs — only a product name in column E

For rows in the StockList tab where column A is empty but column E has a product name, search StockX via Retailed using the product name, write the matched SKU into column A and the lowest ask into column C

You want prices for every size variant, not just the overall ask

For each SKU in column A of the StockList tab, fetch full StockX size-level pricing via Retailed and write each size and its lowest ask as separate rows in the VariantPricing worksheet, keeping the original SKU in column A of each row

Full buy-prep run: normalize SKUs, fetch prices, flag anything with a spread under $20

Normalize any formatting inconsistencies in column A of the StockList tab, fetch StockX lowest ask and highest bid for each SKU via Retailed, write them into columns B and C, then add a flag in column D for any row where the bid/ask spread is less than 20

One prompt, one pass. The workbook is ready for Monday without the Sunday grind.

Try It

Get the 7-day free trial of SheetXAI and open your inventory workbook — the one with the SKU list you check every week — and ask SheetXAI to pull the current StockX pricing for every row. Also worth reading: Compare GOAT and StockX prices side by side and the Retailed integration overview.