diff --git a/Wiring-CAPTCHA-Solving-into-CI%2FCD.md b/Wiring-CAPTCHA-Solving-into-CI%2FCD.md
new file mode 100644
index 0000000..d6e09a1
--- /dev/null
+++ b/Wiring-CAPTCHA-Solving-into-CI%2FCD.md
@@ -0,0 +1 @@
+
Proxy support is often necessary for real automation, and CapSkip plays nicely with them without fuss. Teams can route requests however your stack requires while and still solving CAPTCHAs on your own machine, so behavior natural across runs.
Classic image and text CAPTCHAs remain extremely common, on sign-up pages to checkout flows. CapSkip solves a huge range of image CAPTCHA variants on your own hardware, typically almost instantly. That kind of speed matters when you process high numbers of challenges.
Google reCAPTCHA v2 remains among the most widespread challenges on the web, covering the classic checkbox to invisible and callback versions. CapSkip solves each of these on your own machine in seconds, which means your automation will not grind to a halt every time one appears. Because it mirrors common solver APIs, hooking it up is straightforward.
At its core, a CAPTCHA solver interprets a challenge and returns the answer a site expects, so an automated tool can continue. The difference with CapSkip is everything happens on your own Windows machine - nothing is shipped off to a stranger, and there are no per-CAPTCHA charges. That combination of control and flat pricing turns out to be hard to beat for serious workloads.
Selenium is a staple for browser automation, and CapSkip fits right in. You keep your driver flow as is and delegate the challenge to CapSkip when one appears, so the session keeps going without human steps.
A migration checklist makes the move painless: repoint your API URL at CapSkip, verify some real solves, and then flip the main jobs. Because the API matches popular services, the bulk of the work is essentially done.
The GeeTest slider puzzles are notoriously tricky for automation, which is why running a tool that supports them is a real plus. CapSkip solves GeeTest locally, so workflows that depend on those sites do not break when the challenge appears.
Cloudflare performs lightweight checks which are meant to tell apart people from bots without classic puzzles. Getting past those dependably calls for a dedicated solver, and CapSkip covers it on your machine.
Fundamentally, a CAPTCHA solver reads a challenge and produces the answer a site expects, so an hands-off script can continue. The difference with CapSkip is that everything happens on your own Windows machine - nothing leaves your hardware, and you avoid per-solve charges. That combination of privacy and predictable cost turns out to be a real advantage for steady automation.
Web scraping is one of the top reasons teams adopt a CAPTCHA solver. A single stalled page can stall an whole job, so clearing challenges on the fly keeps the pipeline steady. CapSkip slots into such pipelines cleanly.
A Puppeteer script remains a natural fit for Node.js automation, and wiring in CapSkip tends to be simple. The moment a challenge comes up, CapSkip solves it on your machine and your crawler goes going.
Before you commit, there is a cheap one-week trial includes 1,000 solves, which is enough to evaluate how well it works on real targets. If it does the job, moving up is just a click in the Members Area.
reCAPTCHA v2 is among the most widespread challenges on the web, from the familiar checkbox to silent and callback versions. CapSkip handles all of these locally in seconds, so your automation will not grind to a halt every time one appears. Since it emulates popular solver APIs, hooking it up is painless.
Proxies are often necessary for real automation, and [CapSkip](https://Git.newnaturalphilosophy.org/kelseymountgar) works with them out of the box. Teams can route traffic however your stack needs while still solving CAPTCHAs locally, which keeps the footprint natural across sessions.
Beyond the API, CapSkip comes with client libraries plus sample code that cut down integration time. Instead of wiring up raw HTTP calls, developers are able to lean on prebuilt helpers for common languages.
Fundamentally, a CAPTCHA solver reads a challenge and produces the answer a site expects, so an hands-off tool can keep going. What sets CapSkip apart is that the work stays locally - no challenge data is shipped off to a stranger, and you avoid per-solve fees. That combination of privacy and predictable cost is a real advantage for steady workloads.
Selenium remains a go-to for browser automation, and CapSkip drops into it cleanly. You keep the WebDriver flow unchanged and delegate the CAPTCHA to CapSkip when one shows up, so the run keeps going with no manual steps.
Varying headers and request fingerprints goes a long way to help automation blend in. Combine that with on-machine CAPTCHA solving and your crawler get a stack which stays steady over extended sessions.
Good docs plus examples make adoption faster. Between the setup guide to the API reference and an FAQ, most questions have answered before you ask, so your team spends time on building instead of troubleshooting.
Test automation engineers hit CAPTCHAs too, particularly when testing live sites that copy production. Rather than skipping those tests, they are able to have CapSkip clear the challenge so coverage stays complete.
\ No newline at end of file