How to evaluate a Marketplace listing using sold comps

Work from the listing, inspect the comparable sales, and make every cost and estimate visible before deciding whether to buy.

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Worked example with invented inputs. This is a research walkthrough, not a customer result, verified sale, or claim that Find & Flip produced this exact valuation.

1. Establish what you would actually buy

Suppose a Facebook Marketplace seller asks $160 for a used Nintendo Switch OLED with its dock and controllers. Confirm the OLED model, working condition, included charger, screen condition, and whether every accessory is present. An asking price is not a completed purchase.

2. Compare equivalent sold listings

For this example, assume four observed sold-listing prices for comparable used, complete consoles: $210, $220, $230, and $240. Exclude a $300 bundle with games and a $90 damaged console because they are different offers. Check sold dates, shipping treatment, and currencies. An accepted offer can differ from the displayed source price.

Make the calculation inspectable

Median of four comparable prices = ($220 + $230) / 2 = $225.

Assume a $15 condition deduction for scratches on the candidate: $225 − $15 = $210 estimated resale price. This adjustment is a disclosed assumption, not a measured market premium.

3. Subtract costs before calling it profit

InputIllustrative amountBasis
Estimated resale price$210.00Median less condition adjustment
Purchase price−$160.00Seller's asking price
Selling fees−$27.30Assumed 13% of $210; not a published marketplace rate
Shipping−$12.00Assumption; seller pays
Packing supplies−$2.00Assumption
Estimated profit before tax and labor$8.70$210 − $160 − $27.30 − $12 − $2

At that purchase price, estimated return on purchase cost is $8.70 / $160 = 5.4%. If resale falls to $190 with the same assumed fee rate and shipping, estimated profit becomes −$8.70. A large gap between asking price and sold prices can still be a weak deal after costs.

4. Use the evidence in Find & Flip

The Deal Finder lets you inspect relevant sold comps alongside estimated value, profit, and deal scores. Strict matching narrows which results count as comparable; it cannot verify an item's condition for you. Review the evidence, change assumptions where needed, and pass on the listing if the remaining uncertainty is too large.

Developers can use the eBay sold-listing API to retrieve source records and implement their own matching and fee calculations. The raw API does not promise the app's AI valuation or matching workflow.

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eBay Sold Comps API

Find & Flip provides an asynchronous API for eBay sold-listing searches. Submit keywords, poll the job, and retrieve structured sold-listing data for resale research or your own tools.

Facebook Marketplace Listing Data API

Find & Flip provides keyword searches for current Facebook Marketplace listings through a prepaid API. Use location and price filters, then retrieve the available listing data as JSON.

Vinted Listing Data API

Developers can search Vinted's US catalog through Find & Flip's asynchronous listing API. Submit keywords and retrieve available listing fields without buying a subscription.

Marketplace Deal Finder for Resellers · A worked resale valuation · Full API documentation