Measuring CAPTCHA Throughput Before a Large Run Web scraping is among the most common use cases people adopt a CAPTCHA solver. One stalled page will halt an entire run, so solving challenges automatically lets throughput predictable. CapSkip fits these pipelines neatly. One of the biggest advantages of processing on your own hardware comes down to price. Most services charge per solve, so your bill rise as throughput grows. CapSkip goes with flat-rate pricing and uncapped solves, so scaling without watching the meter. reCAPTCHA v3 takes a different tack: rather than a visible challenge, it rates interactions silently. Getting a usable token requires a solver that understands the way v3 works, and CapSkip is built to handle it, returning tokens in seconds so your flow keeps moving. Google reCAPTCHA v2 is among the most widespread challenges on the web, from the classic checkbox to invisible and callback versions. CapSkip solves each of these on your own machine in seconds, so your automation does not grind to a halt every time one appears. Since it mirrors popular solver APIs, wiring it in is painless. A Selenium setup is a staple for browser automation, and CapSkip drops into it cleanly. Your the WebDriver flow as is and hand off the CAPTCHA to CapSkip when one appears, so the run continues with no human steps. Privacy has become a genuine issue when every challenge gets shipped to a remote service. With CapSkip, no challenge data leaves your machine, so private projects stay on your own systems. If you handle regulated data, this can be the deciding factor. The GeeTest slider challenges are notoriously awkward for bots, which is why running a tool that supports them is a real plus. CapSkip handles GeeTest on your machine, so scripts that depend on those targets do not break when the challenge appears. Residential IP pools and residential ones behave in different ways under detection scrutiny.