Python Developers: Solving CAPTCHAs with CapSkip Web scraping is among the most common reasons people adopt a CAPTCHA solver. One stalled page can stall an whole run, so solving challenges automatically lets throughput predictable. CapSkip slots into these pipelines neatly. The developer API is designed to emulate the request format of the major CAPTCHA-solving services. In practical terms, scripts and scripts that currently call those services can switch to CapSkip with little more than a URL change and no coding. Turnstile has become a frequent barrier on pages that want to deter bots without traditional image puzzles. CapSkip solves Turnstile on your machine within seconds, handling the challenge variants. For scrapers that run into Turnstile, this takes away a major roadblock. Image CAPTCHAs are still extremely common, on sign-up pages to checkout screens. CapSkip recognizes a huge range of image CAPTCHA variants locally, typically almost instantly. This throughput adds up when you process large volumes. reCAPTCHA v2 is among the most widespread challenges on the web, covering the familiar checkbox to silent and callback versions. CapSkip solves all of these locally quickly, which means your scraper will not stall whenever one appears. Because it emulates common solver APIs, hooking it up is straightforward. A major benefits of processing locally comes down to price. Traditional services charge per solve, so your costs rise as throughput increases. CapSkip goes with flat-rate pricing and uncapped solves, so scaling without watching the meter. Selenium is a staple for browser automation, and CapSkip fits right in. Your the WebDriver logic unchanged and delegate the CAPTCHA to CapSkip whenever one shows up, so the run continues with no human steps. Classic image and text CAPTCHAs are still everywhere, from login forms to registration screens. CapSkip recognizes thousands of image CAPTCHA types locally, usually almost instantly.