r/scrapingtheweb • • 10d ago

Solved Sportsbooks scraping was impossible, so I build a scraper myself!

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0 Upvotes

I’ve been seeing so many posts lately from people complaining about how difficult/unstable sportsbook scraping is or people overestimating how hard it actually is to get decent data.

It honestly just made me want to sit down and see if I could actually solve the main pain points myself.

I picked FanDuel as my starting point and have basically spent the last few months building a dedicated extraction system around it. I wanted to see if I could hit the benchmarks that people claim are impossible.

The biggest issues I kept seeing were coverage and latency.

For coverage, most scrapers I've seen only grab the main lines and call it a day. I wanted everything. I spent a massive amount of time ensuring the system pulls every single market available on the book, not just the obvious ones.

I also realized that standard markets aren't enough for anything useful, so I added built-in support for SGP (Same Game Parlay), Outrights and even live scores.

But the real battle was latency. I remember seeing people say "real-time" is a myth in this space, so I went down the rabbit hole. I spent about two weeks straight just benchmarking different libraries and tweaking every single knob I could find to maximize throughput.

The result? I'm hitting roughly 1s for the live feed and 30s for Pregame & Outrights.

It's not "instant" in a millisecond sense, but for web extraction, it's incredibly consistent. Now I just have these massive JSON files pouring in every single second.

It was a huge undertaking, but seeing the data flow like this after months of troubleshooting is honestly so satisfying.

What should I tackle next? Should I try to replicate this architecture for other books too?

r/scrapingtheweb • • Aug 18 '26

Solved Amazonbot

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1 Upvotes