Surfsky

Teams that scrape data, automate web tasks, or connect AI agents to the internet run into anti-bot systems like Cloudflare, DataDome, Arkose Labs, PerimeterX, reCAPTCHA and Akamai that block or throttle automated browsers. In-house or generic scraping setups get flagged through fingerprint mismatches, shared proxies, missing captcha solving, and non-human mouse or typing behavior, producing low success rates on protected sites (the page cites in-house rates as low as 22 to 60 percent against several named targets). Running hundreds of concurrent sessions with distinct identities and IPs is operationally hard to build and maintain in-house.

Surfsky runs Chrome instances in the cloud, each wrapped with a real device fingerprint (from a claimed pool of 2.5M+ real devices covering canvas, WebGL, audio, GPU, screen and 20+ other parameters), a residential or mobile proxy from a pool of 100M+ IPs across 190+ countries, automatic solving for 10+ captcha types, and human-like mouse, typing, and scroll behavior. Sessions are created via a POST to a profiles API that returns a websocket URL, which plugs directly into existing Playwright, Puppeteer, Selenium, or chromedp scripts via connectOverCDP with no SDK changes required. It supports scaling from 8 to over 1,000 concurrent browsers from a single script, with profiles that persist between runs for logged-in scraping. The page targets use cases including web scraping, e-commerce price tracking, automated job applications, social media automation, AI agent web access, and ML dataset building.