A Honest Cost of Per-Solve CAPTCHA Billing

reCAPTCHA v2 is one of the most common challenges on the web, from the familiar checkbox to silent and callback variants. CapSkip solves each of these locally in seconds, which means your scraper will not stall every time one shows up. Since it emulates popular solver APIs, hooking it up is straightforward.

Proxy support is essential for real automation, and CapSkip works with them without fuss. You can route traffic however your stack needs while and still solving CAPTCHAs on your own machine, so the footprint consistent across runs.

Selenium remains a staple for browser automation, and CapSkip drops right in. You keep your driver flow as is and hand off the challenge to CapSkip whenever one shows up, so the run continues with no human steps.

GeeTest challenges are notoriously awkward for bots, so having a solver that supports them is a real plus. CapSkip solves GeeTest on your machine, so workflows that depend on those sites keep running whenever the challenge appears.

Data collection remains one of the top reasons people adopt a CAPTCHA solver. A single stalled page will halt an entire run, so solving challenges automatically lets the pipeline predictable. CapSkip slots into these workflows cleanly.

Turnstile performs quiet checks that aim to tell apart humans from automation and skip classic puzzles. Getting past those dependably needs a purpose-built solver, and CapSkip covers it on your machine.

A Python codebase projects have a clean path with CapSkip, which mirrors the API of popular solving services. In practice, that means pointing existing code at CapSkip with little changes - nothing to rebuild.

Image CAPTCHAs are still extremely common, on sign-up pages to registration screens. CapSkip solves thousands of image CAPTCHA types locally, typically almost instantly. That kind of throughput adds up when you handle large volumes.