Hyperbrowser

Hyperbrowser sits somewhere between a headless browser service and a proper autonomous agent. The pitch is Playwright with AI steering and anti-detection baked in, which sounds useful until you realise most tasks still need you to write the script. HyperAgent adds vision and planning on top of standard browser automation, so it can navigate unfamiliar UIs without explicit selectors. I tested it scraping a product catalogue where the pagination changed mid-crawl. HyperAgent adapted without breaking, which saved an hour of debugging. The CAPTCHA solving works about 70% of the time on common challenges, less reliably on Cloudflare Turnstile. Anti-bot detection holds up better than raw Playwright but falls short of dedicated residential proxy services. The autonomy is real but narrow. You still define the workflow, HyperAgent just handles the fiddly DOM navigation and recovers from layout shifts. It shines when scraping sites that rotate their class names or use heavy JavaScript rendering. It struggles with multi-step workflows requiring business logic, you end up writing conditional handlers anyway. The cloud infrastructure means no local Chrome dependencies, which matters if you are running agents at scale or from serverless functions. Latency is acceptable, around 2-3 seconds per page load in my tests. Compared to BrowserBase, Hyperbrowser offers more AI-driven navigation but less mature session management. Compared to Browserless, the anti-detection is stronger but the API surface is smaller. If you are building an agent that needs to scrape dozens of similar sites with varying layouts, HyperAgent saves real engineering time. If you need pixel-perfect control or are automating a single known site, plain Playwright is cheaper and more predictable. The freemium tier gives you enough credits to evaluate properly, which I appreciate. Paid tiers scale linearly with usage, no surprise pricing jumps. Documentation assumes you know Playwright already, which is fair but means a steeper ramp if you are coming from Puppeteer or Selenium. The vision model occasionally misidentifies buttons on dense UIs, so validate outputs on critical paths. Overall, it is a pragmatic tool for scraping at scale, not a magic wand.