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To be clear, I don’t have a horse in this particular race. I’m neither condemning nor condoning the market dynamics of sneaker arbitrage here. It’s just an example I’m very familiar with because I used to write scrapers and I’ve been offered silly amounts of money to make them for sneaker trading groups. Not as much as hedge funds will pay for writing crawlers for market research, but still more than you’d probably expect just so they can flip Supreme shirts and Yeezys faster than competitors. It’s ridiculous, but this is the world we live in. The point is simply that when the stakes are high (particularly when there is money to be made), stopping adversaries will be really, really difficult.

Back to the point at hand, I don’t like recaptcha in principle. But given my view from both sides of the table, it’s one of very few things that consistently works for sophisticated adversaries. It’s about as close to a silver bullet as they come, with the additional upside that it’s the absolute easiest thing to implement - in both an absolute sense and relative to the return. And once you have, most of what you can implement beyond recaptcha has diminishing returns in comparison.

All of that being said, I would be inclined to agree that most websites and apps don’t need recaptcha, simply because most of them aren’t worthwhile targets for the types of attacks recaptcha is singularly effective against.



Hedge fund paying for scrapers, is that a common thing these days? What kind of prices do they pay if I may ask?


Extremely common. Most hedge funds buy what's called "alternative data" from vendors who aggregate it, like 7Park. The data is collected by providers who collect it from location telemetry, web scraping, satellite imagery, etc. Scraping from web applications is one of the more common forms.

The more successful quant funds will often build out internal research teams to do this. For example, both Two Sigma and Millennium have (not so well advertised) research teams devoted to this kind of data collection internally.




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