How We Bypassed Anti-Bot Systems to Scrape 74k Vinted Requests/Month

Situation Data is the lifeblood of modern e-commerce analytics. For a recent project, we needed to monitor pricing trends and item availability across Vinted at scale. The goal was to extract up to 74,000 requests per month to feed our pricing intelligence engine and provide real-time alerts to our users. Complication Vinted, like many large marketplaces, employs aggressive anti-bot and rate-limiting systems. Standard scraping libraries like requests or BeautifulSoup were getting blocked almost instantly. Proxies were getting burned, CAPTCHAs were popping up everywhere, and Datadome was having a field day with our initial attempts. We needed a robust, stealthy, and scalable way to extract the data without constantly fighting bans. Question How do you build a scraper that can consistently pull 74k+ requests per month from a heavily protected platform like Vinted without triggering anti-bot defenses or burning through expensive proxy pools? Answer The solution wasn't just rotating proxie