I have a collection of customer reviews that sit inside regular HTML pages on a public-facing website. Each review contains the text itself, the date it was posted. The page also includes the serving city, state, and ZIP code. I need all these elements pulled out, cleaned (no stray markup or line breaks), and placed into a single, well-structured Excel workbook that’s ready for immediate analysis and this data is used to create a dashboard analyzing negative and positive reviews. You are free to choose the scraping approach—Python with BeautifulSoup or Scrapy, a headless browser like Playwright, or any tool you trust—as long as the end result is an accurate Excel file with clear columns for Review_Text, Review_Date (YYYY-MM-DD), and Zip_Code. Deliverable: • One .xlsx file containing every review currently live on the site, fully deduplicated and formatted. * One dashboard for easy analysis. *sentiment analysis for negative reviews and positive reviews. I’ll validate by spot-checking 5% of the rows against the live pages, so consistency and completeness are key. If that sounds straightforward, let’s get moving.