Naufal Almahdi's Work | Contra
Work by Naufal Almahdi
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Naufal Almahdi
Full-Stack Automation Engineer
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Surabaya, Indonesia
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Surabaya, Indonesia
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High-Resilience Web Scraping & Anti-Bot Pipeline Most modern data extraction projects fail because websites deploy aggressive anti-bot defenses like Cloudflare Turnstile, reCAPTCHA Enterprise, and canvas fingerprinting. I built this scraping infrastructure to reliably extract high-value e-commerce and competitor pricing data where standard HTTP scrapers get blocked immediately. The architecture combines patched browser automation via Playwright with smart residential proxy rotation and automated browser fingerprint spoofing. When challenges arise, requests are routed through a dedicated self-hosted solving service that clears tokens without interrupting the main extraction thread. The extracted data is automatically validated, normalized into structured JSON, and piped directly into a database with built-in deduplication and retry mechanics. It routinely handles batches of over 15,000 product records per run with an effective success rate above 95%, providing clean market intelligence on complete autopilot.
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Crypto Market Scanner & Real-Time Alert System I built this automated market scanner to solve a simple problem: monitoring dozens of crypto pairs simultaneously without staring at charts all day. The system runs 24/7 on a Linux cloud instance, continuously tracking order books, price action, and volume across multiple trading pairs on Binance and Tokocrypto. Under the hood, it maintains low-latency WebSocket connections to stream real-time tick data into an async Python pipeline. The engine computes momentum indicators like RSI and EMA crossovers in memory, then feeds candle structure data into an LLM reasoning layer to filter out false breakouts and confirm setups before triggering any notifications. When a high-probability setup is confirmed, the bot instantly dispatches an alert to a private Telegram channel in under 200 milliseconds. Alerts include entry ranges, suggested stop-losses, and live risk-reward ratios, turning raw market volatility into actionable, structured data.
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