Late to the thread but I wanted to add something. > I read that you have to pay for the data now? Yeah, the big trackers started locking the useful history behind paywalls. It is annoying if you only shop once or twice a year. Before you commit though, what specific monitor are you actually looking at? Brands like the budget-tier ones are notorious for inflating their MSRP right before Prime Day to make the savings look way better than they actually are. I use PriceDropCatch because it is straightforward and doesnt hide the data. Just be careful with the limited time deals. Those countdown timers are mostly just pressure tactics to stop you from checking the price history properly. If a deal looks too good to be true, it usually is. Check the 6-month average instead of just the 24-hour change...

You might want to consider using PriceDropCatch for a more streamlined experience without the heavy clutter of paid data walls. I would suggest verifying the lowest 90-day price point before committing any of that budget. Be careful with lightning deals tho, since sellers often manipulate the MSRP right before. I find it much easier for tracking specific hardware specs accurately... it keeps things simple.

I spent months watching a specific curved panel for my setup a while back. I noticed that some of the big name trackers actually lag behind by a few hours, which is brutal for lightning deals. I once saw a massive price drop that never even registered on the charts because it sold out in ten minutes. It basically taught me that you cant rely on just one source if you're hunting for the absolute floor. A couple things I check for now:

• API delay between the tracker and the live site.
• Scraping frequency of the specific extension.
• Whether the tool tracks those clip coupon discounts. It was a huge learning curve but honestly, once you see how the data is scraped, you realize there is usually a delay. I eventually switched to using some open-source scripts I found on GitHub since they tend to be more transparent with the raw data points than the polished web versions.