Why this site exists.
I've been burned by proxies before. Building proxy.report is my long route to not being burned again, and to helping anyone else who scrapes at scale skip the same lessons.
Muninder Adavelli.
SEO was my job before it was a mainstream career. I ran an SEO company across two countries and learned everything about code from the bad luck I had with dev teams, or my own bad luck communicating SEO goals to them.
Since then I've hand-coded WordPress themes for purpose-built sites, built a Laravel CMS that migrates any WordPress database over, and was a core member of the team that built SERPwatch, a rank-tracking tool. That's where the proxy story starts: 2 million SERP checks a month on a startup budget, and the lesson that at that scale, AWS IPs beat a proxy network. That specific lesson is why I test proxies this hard now.
Today I run a coupon-scraping system that feeds 15+ coupon sites daily (WordPress, Cloudflare-static, and custom FastAPI CMS targets), a review-scraping and AI-analysis product for hostels and hotels, and an AI visibility tool watching how brands show up inside LLMs across markets like data observability and AI-SRE. All of it needs proxies, at 2–5 million scrapes a month across the mix.
The SERPwatch lesson.
The lesson from SERPwatch: I cannot be over-confident about a proxy provider after signing up clients. The product went to AppSumo, got a nice initial bump of lifetime customers, and suddenly the proxies were not reliable. The service went down. For time-sensitive work like rank tracking, even brief downtime means a lot of angry AppSumo customers.
So this time, I'm making the product reliable, flexible, and max-uptime before onboarding. That means testing every proxy service I might rely on, on my actual targets, with the same script every time. proxy.report is where I publish everything that comes out of that testing: the raw numbers, the opinionated verdicts, and the changes over time as I keep re-running.
The other reason: pricing scales up differently across services and brands, and I want to build my product as economically as possible. Cost per successful piece of data, not cost per gigabyte of proxy traffic.
Indie hackers and builders shipping AI or scraping products.
The reader I write for is an indie hacker or a small team shipping an AI product that needs external data, scraping at 2–5M requests a month on protected targets. What they're trying to avoid: paying enterprise prices for hobby scale, wasting hours on IP blocks, and the SERPwatch failure: trusting a provider that goes unreliable right after they've taken customers.
If that's you, start with the latest ranking or the DataImpulse review and click around.
Affiliate deals, disclosed in the open.
Some providers on this site are affiliate partners. Some aren't. Rankings come from the same test data everything else uses. If a provider I earn from loses on the numbers, they lose on the page. Every provider page tells you whether I make money if you buy through it, and the full affiliate log tracks every deal I've ever signed. The deals move. The tests don't.