Web Scraper for a List of Products -- 6

I have a ready-made list of product names. What I need is an end-to-end pipeline that, on every run, will: • Open a Google-only search for each product name • Capture the first eight organic result URLs in ranking order • Visit those pages, and pass it to Gemini or the ChatGPT API so the model can reliably extract price, currency, brand, description and any stated delivery time • Write the collected data to both CSV and JSON, saving fresh files after every run and tagging them with a timestamp • Survive the real-world web: captchas, bot checks, rate limits, timeouts, pages that hold multiple variants, or sites that omit a field entirely all need graceful handling and clear logging. Please package the code so I can spin it up on my own machine or a small cloud instance, tweak the schedule in one place, and swap API keys or proxy settings without digging through the logic. Well-documented source, a small sample set, .env, and a quick README that shows how to run a manual test round will be the acceptance criteria. Once everything is verified against a sample list of 20 products, we can scale up to the full list. We need high accuracy and we will evaluate this accuracy.