Blog post
2) Keepa Deals Case Study: Why "Profitable" Arbitrage Deals Aren't Always Real
Apr 15, 2026·8 min read
A long-term scraping case study showing why many Keepa arbitrage deals are volatile, low-quality, or risky once examined beyond a single pricing snapshot.
At first glance, Keepa's deals page looks exciting.
The basic idea is simple: it shows you products that appear to be selling for one price on eBay and a higher price on Amazon. In theory, that means you could buy the item at the lower price, sell it at the higher price, and keep the difference as profit.
That is what makes online arbitrage appealing. It looks like a shortcut to finding products you can flip for money without having to guess what to sell.
But after scraping that page over time and building my own automation around it, I noticed something important: a lot of these "deals" do not hold up for long.
A product might look profitable one minute, then lose that profit just a few minutes later. That raises a bigger question: are these real opportunities, or are many of them just temporary pricing illusions?
The problem with snapshot deals
Most people look at a deals page like a screenshot. They see what is true in that exact moment.
But ecommerce does not work like that. Prices move constantly. Listings change. Availability changes. What looks profitable right now may not still be profitable by the time you actually act on it.
That was one of the biggest things I found while scraping these deals long-term. Many of them were too volatile to be trusted as real, repeatable opportunities.
Not all profitable products are good products
Another issue was product quality.
A surprising number of items were generic, non-branded, or low-trust products. Even if the numbers looked good on paper, the product itself often did not look like something worth building a real resale workflow around.
That matters because a price gap alone does not make something a smart product to sell.
Counterfeit and platform risk
I also ran into another major problem: some items triggered counterfeit-related issues when posted to eBay.
That changes everything. Because once platform risk enters the picture, the deal is no longer just about profit. It becomes about account safety, listing risk, and whether the product is even worth touching in the first place.
Why so many deals were books
One of the strangest patterns was how many of the best-looking opportunities were books. Not electronics. Not beauty. Not accessories. Books.
That immediately made me skeptical. In some cases, there may be real reasons for that. But when that pattern shows up again and again, it starts to feel less like strong sourcing and more like inflated or unrealistic pricing gaps.
What this project really showed
This project taught me that a deals page is not the same thing as a sourcing system.
It can show possible opportunities, but it cannot tell you whether those opportunities are stable, safe, high-quality, or worth acting on.
That is why I built my own scraper and automation around this. I did not want to know what looked profitable for one moment. I wanted to know what actually stayed profitable long enough to matter.
Final takeaway
The main lesson is simple: just because a product looks profitable on a deals page does not mean it is a real opportunity.
Many listings were too volatile. Many products were low quality. Some created platform risk. And many of the strongest-looking deals did not feel realistic once examined over time.
That is why long-term scraping matters. It helps separate the appearance of profit from real-world opportunity.