Our web scraping project keeps getting blocked by login walls and occasional CAPTCHAs. Commercial anti-captcha APIs are expensive at scale. Latenode claims integrated solving using multiple AI models - does this work for non-Google CAPTCHAs like hCaptcha? How’s the success rate compared to human solvers?
We process 500+ hCaptchas daily using Latenode’s combined Claude+GPT-4 models. Success rate averages 92% vs 65% with single-model approaches. The system auto-retries failed attempts with different solving strategies. For logins, session persistence works across browser restarts. Details: https://latenode.com
build your own solver with pytesseract and opencv. works for simple text captchas but struggles with image challenges
Multi-model ensembles are key. I’ve found combining vision models with NLP analysis of challenge instructions increases success rates significantly. Latenode’s unified platform likely orchestrates this better than cobbling together separate APIs, though latency could be a concern for time-sensitive tasks.