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Monitor product prices across global markets using geo-targeted proxies. Python and Node.js code for multi-market price comparison, currency normalization, and competitor pricing strategy detection.
Learn how Cloudflare detection works and how to access protected sites legitimately using residential proxies, browser-grade TLS, proper request patterns, and ethical scraping practices.
Design an end-to-end scraping system: scheduler, URL queue, crawler pool, proxy layer, parser, storage, and monitoring. Production-ready Python code with architecture diagrams.
Compare the technical differences between scraping Google and Bing search results. Covers anti-bot detection levels, HTML structures, proxy requirements, and code examples for both engines.
Discover what causes proxy bans — from excessive requests and IP reputation to fingerprint mismatches. Learn prevention strategies and recovery techniques.
Scrape JavaScript-rendered content with headless browsers and proxies. Puppeteer, Playwright, and chromedp setup guides with performance optimization and API interception strategies.
Learn to scrape product reviews from Amazon and other platforms at scale. Python and Node.js code for multi-platform review collection, pagination handling, and sentiment analysis preparation.
Learn to coordinate proxy IP rotation with user-agent and header rotation to avoid detection. Includes browser profile systems, TLS alignment, geo-consistency, and weighted distribution patterns.
Learn how to scrape Google Maps for business data including names, addresses, ratings, and reviews. Covers API vs scraping comparison, proxy strategies, and code examples in Python and Node.js.
Go behind the scenes of proxy pool infrastructure — learn how IPs are sourced, organized, health-monitored, and maintained to deliver high success rates at scale.
CAPTCHA types, prevention strategies that are more effective than solving, and the critical role of proxies in CAPTCHA avoidance. Code examples for detection and routing.
Learn how to instrument, monitor, and alert on proxy performance — track latency percentiles, success rates, error patterns, and bandwidth. Code examples in Python, Node.js, and Go.
