Automated Cloud Python Script for Sales Data

Automated Cloud Python Script (Web Scraper + Email Parser) to Daily Excel Sheet Description: I am looking for a Python developer to build a fully automated data extraction tool that runs daily in the cloud (e.g., PythonAnywhere, AWS, or Google Cloud) and delivers a consolidated Excel sheet via Email/Google Drive. The tool needs to extract sales data from 11 stores in total, but multiple stores use the same systems: * 3 stores use System A (same website structure/platform). * 3 stores use System B (same website structure/platform). * 2 stores are unique websites that require logging in (Username + Password only, NO two-factor authentication). * 1 store only requires capturing the daily total revenue (no product breakdown needed). * 1 store sends the daily sales data via Email (the script needs to parse the incoming email data). Data Processing Requirements: * Log in automatically to the websites and navigate to the sales reports. * Combine data from all 11 sources into one single Excel file. * The script must calculate: Commission, Cost Price, and Net Profit per product/store based on fixed rules I will provide. * Error handling: If one website fails or changes, the script should still process the other 10 stores and notify me of the error. Tech stack preferred: Python (Selenium/Playwright, BeautifulSoup, Pandas, IMAP for email parsing). Please provide a fixed price quote and your estimated timeline.