Growing Your Scraping and Skipping Per-Solve Bills

On top of the API, CapSkip ships with client libraries plus examples that shorten setup. Instead of wiring up low-level HTTP calls, developers are able to lean on ready-made helpers across common stacks.

CapSkip's API was built to emulate the request format of the major CAPTCHA-solving services. What this means, tools and scripts that currently call other services are able to switch to CapSkip with minimal changes and no new code.

Headless browsers leave signals that anti-bot systems watch for, so combining careful browser hygiene with reliable CAPTCHA solving matters. CapSkip handles the challenge half while you focus on the browser side.

A Selenium setup remains a go-to for browser automation, and CapSkip drops into it cleanly. You keep your driver flow as is and delegate the challenge to CapSkip when one appears, so the run keeps going without manual steps.

Beyond the API, CapSkip ships with client libraries and examples that shorten integration time. Instead of hand-rolling low-level HTTP calls, teams are able to use ready-made helpers for popular languages.

Proxies is essential for real scraping, and CapSkip works with them out of the box. Teams can send traffic the way your stack needs while and still solving CAPTCHAs locally, so the footprint natural across runs.

Image CAPTCHAs are still extremely common, from sign-up pages to registration screens. CapSkip solves a huge range of image CAPTCHA types locally, usually almost instantly. That kind of throughput adds up when you handle high volumes.

Behind the scenes, reCAPTCHA v3 hands out a risk score based on watched signals instead of a one click. Producing a good score calls for a solver designed for that model, which is exactly what CapSkip is built for.

Automated browsers leave fingerprints which anti-bot systems watch for, so combining careful automation setup with reliable CAPTCHA solving counts.