CapSkip's extension puts solving right into Chrome, Firefox and Chromium-based browsers such as Brave and Edge. If you do manual tasks or quick automation, it handles challenges and needs no extra configuration.
Proxies is essential for real scraping, and CapSkip works with proxies out of the box. You can send traffic however your setup needs while and still solving CAPTCHAs on your own machine, which keeps the footprint natural across runs.
Inventory monitoring across many sites involves constant requests, and plenty of such stores guard themselves with CAPTCHAs. Clearing the challenges locally lets your feed current without spiraling bills.
Privacy has become a genuine issue when each challenge gets shipped to a third-party service. With CapSkip, no challenge data leaves your hardware, so sensitive projects stay contained. If you handle sensitive work, that is often the deciding factor.
Selenium remains a staple for browser automation, and CapSkip drops right in. You keep your driver logic as is and hand off the CAPTCHA to CapSkip whenever one shows up, so the session keeps going without manual input.
Residential IP pools and residential ones perform in different ways under detection pressure. Whatever blend your setup run, CapSkip handles the CAPTCHA on your machine without extra a remote dependency to the path.
GeeTest challenges can be notoriously tricky for automation, so having a solver that covers them is a real plus. CapSkip handles GeeTest on your machine, so scripts that rely on these sites keep running when the challenge appears.
Good docs plus examples make adoption faster. Between the setup guide to the API reference and the FAQ, most questions have answered before you ask, so your team spends effort on building rather than firefighting.
Image CAPTCHAs are still everywhere, from sign-up pages to checkout flows. CapSkip recognizes thousands of image CAPTCHA variants on your own hardware, typically in about a tenth of a second. This speed matters the moment you handle high numbers of challenges.
Proxies are often necessary for real scraping, and CapSkip works with proxies without fuss. Teams can send traffic however your stack needs while still solving CAPTCHAs on your own machine, so behavior consistent across sessions.
Selenium remains a go-to for browser automation, and CapSkip drops into it cleanly. You keep the WebDriver flow unchanged and hand off the CAPTCHA to CapSkip whenever one appears, so the run continues with no manual input.
Proxies is often necessary for real scraping, and CapSkip works with them out of the box. You can send traffic however your stack requires while still solving CAPTCHAs on your own machine, which keeps behavior consistent across runs.
At its core, a CAPTCHA solver reads a challenge and returns the answer a site is looking for, so an automated tool can continue. What sets CapSkip apart is that everything happens locally - nothing leaves your hardware, and you avoid per-solve charges. That combination of control and flat pricing turns out to be hard to beat for serious automation.
At its core, a CAPTCHA solver reads a challenge and returns the answer a site expects, so an hands-off script can continue. What sets CapSkip apart is everything happens locally - no challenge data is shipped off to a stranger, and there are no per-CAPTCHA fees. This mix of privacy and predictable cost turns out to be hard to beat for serious workloads.
Data control is a genuine issue when every challenge gets shipped to a third-party service. Because CapSkip runs locally, nothing leaves your machine, so private workflows remain contained. If you handle sensitive work, this is often the deciding factor.
The developer API is designed to emulate the request format of major CAPTCHA-solving services. What this means, scripts and scripts that already target other services are able to point at CapSkip needing little Learn more than a URL change and zero new code.
Managing cookies such as the cf_clearance cookie can be a piece of getting past Cloudflare's defenses. Once CapSkip solving the Turnstile step, your session logic becomes a matter of reusing valid tokens correctly.
A switch-over checklist makes the switch smooth: point your endpoint at CapSkip, confirm some live solves, and then flip production. Since the request format matches popular services, most of the work is essentially done.
Python projects have a simple path with CapSkip, which mirrors the request format of popular solving services. Often, this means pointing current code at CapSkip takes little effort - nothing to rebuild.
Data control is a real concern when each challenge gets shipped to a third-party service. With CapSkip, nothing departs your machine, so private workflows stay on your own systems. For regulated data, that can be the clincher.
