Running Reliable Automations that Clear CAPTCHAs
Compliance testing often runs into CAPTCHAs when checking contact pages. Rather than dropping these checks, teams let CapSkip solve the challenge on the machine so test runs stay complete and repeatable.
One of the biggest advantages of processing locally is cost. Traditional services charge for each solve, so your bill rise as throughput increases. CapSkip uses flat-rate pricing and uncapped solves, so you can scale without watching the meter.
Data collection is one of the top use cases teams reach for a CAPTCHA solver. A single blocked page can stall an whole job, so solving challenges on the fly keeps throughput steady. CapSkip fits such workflows neatly.
Google reCAPTCHA v2 is one of the most common challenges on the web, covering the classic checkbox to silent and callback variants. CapSkip solves all of these on your own machine quickly, so your scraper does not stall every time one shows up. Because it emulates popular solver APIs, hooking it up is straightforward.
A Selenium setup is a go-to for browser automation, and CapSkip drops into it cleanly. Your the WebDriver flow unchanged and hand off the CAPTCHA to CapSkip whenever one appears, so the run continues without manual input.
Image CAPTCHAs are still extremely common, on login forms to checkout flows. CapSkip recognizes a huge range of image CAPTCHA types on your own hardware, usually in about a tenth of a second. That kind of throughput adds up when you handle high numbers of challenges.
Managing parameters like the reCAPTCHA data-s value correctly is often the difference between a clean solve and a failed one. CapSkip produces the right tokens so submission goes through the first time.
Solid documentation plus examples make adoption faster. From the setup guide to the API docs and the FAQ, most questions have answered before you ask, so the team spends time on building rather than troubleshooting.
Compliance testing often runs into CAPTCHAs when checking contact pages. Rather than dropping these checks, teams let CapSkip solve the challenge on the machine so test runs stay complete and repeatable.
One of the biggest advantages of processing locally is cost. Traditional services charge for each solve, so your bill rise as throughput increases. CapSkip uses flat-rate pricing and uncapped solves, so you can scale without watching the meter.
Data collection is one of the top use cases teams reach for a CAPTCHA solver. A single blocked page can stall an whole job, so solving challenges on the fly keeps throughput steady. CapSkip fits such workflows neatly.
Google reCAPTCHA v2 is one of the most common challenges on the web, covering the classic checkbox to silent and callback variants. CapSkip solves all of these on your own machine quickly, so your scraper does not stall every time one shows up. Because it emulates popular solver APIs, hooking it up is straightforward.
A Selenium setup is a go-to for browser automation, and CapSkip drops into it cleanly. Your the WebDriver flow unchanged and hand off the CAPTCHA to CapSkip whenever one appears, so the run continues without manual input.
Image CAPTCHAs are still extremely common, on login forms to checkout flows. CapSkip recognizes a huge range of image CAPTCHA types on your own hardware, usually in about a tenth of a second. That kind of throughput adds up when you handle high numbers of challenges.
Managing parameters like the reCAPTCHA data-s value correctly is often the difference between a clean solve and a failed one. CapSkip produces the right tokens so submission goes through the first time.
Solid documentation plus examples make adoption faster. From the setup guide to the API docs and the FAQ, most questions have answered before you ask, so the team spends time on building rather than troubleshooting.