Resilient E-Commerce Web Scraper Maintenance and Modernization
Pain Points (Public)
Existing Python scripts extracting e-commerce product details (pricing, stock levels, specifications) frequently break when target storefronts update their DOM trees, adopt dynamic JavaScript rendering, or enforce anti-scraping protections, leaving operators with corrupted or empty CSV exports.
Suggested Approach (Public)
Refactor brittle parsing logic using selector fallbacks and headless automation tools like Playwright or BeautifulSoup, adding automated session retries, proxy rotation hooks, and data validation steps before persisting clean records to CSV.
Metrics (Public)
Statistics window：Weekly 2026-10-03 – 2026-10-09
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Public Demand Evidence · 2 task(s)
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