Vevor products stock/price scrapper

I'm looking for an experienced Python web scraping developer to build a scraper for https://eur.vevor.com/. The scraper should run automatically once every 24 hours on a VPS/server (not on a local PC). I have approximately 1,000 product URLs stored in the following Google Sheet: https://docs.google.com/spreadsheets/d/11qIcVbhAg4MI9mp-6C5EmP9GMe-rXSCAZoTrbepqPw8/edit?usp=sharing The Google Sheet works as follows: Column A contains VEVOR product URLs. The scraper must visit every URL in Column A. It must extract both the current stock status and the current product price. The extracted data should be written back to the corresponding row in the Google Sheet (next to the matching URL). Rows that already contain data should be updated during every daily run, while new URLs should be processed automatically. Please provide: Python source code. Google Sheets API integration. Full VPS/server deployment. Automatic daily scheduling (cron or similar). Clear documentation on how everything works. Please also recommend a low-cost, reliable VPS provider that would be suitable for running this scraper 24/7 (for example Hetzner, Contabo, etc.), and explain which option you recommend for this project. When applying, please include: The technology/framework you plan to use. Estimated delivery time. Fixed price for the project.