I have an existing Python script that scrapes product data from Temu.com, but it occasionally misses the title, price, or images on a few pages. Although these misses are rare, they are enough to break reporting on my end. I need you to trace every point of failure, patch the underlying cause, and leave me with a rock-solid scraper that feeds clean data straight into MySQL. Scope of work • Diagnose why certain fields (title, price, images) sometimes return blank and correct the logic or selectors causing the issue. • Tighten pagination so the crawler never skips or repeats a page, and make sure no duplicate rows reach the database. • Review the insert routine and confirm that every product is written to MySQL with consistent field mapping and transaction safety. • Add lightweight logging that captures error messages, failed page URLs, and a running count of successful scrapes; I only need basic text logs, no external services. Deliverables 1. Updated Python scraper with fixes applied. 2. Demo run that gathers roughly 50–100 distinct Temu products without errors. 3. Log file from the demo showcasing the three requested metrics. 4. Short README or inline notes summarizing what was changed and how to configure the script on a fresh machine. If you can reproduce the issue quickly, suggest any further optimizations, or spot anti-scraping countermeasures early, feel free to highlight them in your notes. Looking forward to reviewing your clean, stable solution.