I have two separate websites that I’d like to mine for information, then run a concise analytical pass on the combined dataset. I’ll share the URLs and exact fields once we start; for now, think of a typical workflow where you build two independent scrapers, export clean, well-labeled data, and follow up with an exploratory report that highlights patterns, correlations, and any standout insights. What I need from you • Two repeatable scraping scripts (Python preferred—BeautifulSoup, Scrapy, or Selenium if dynamic content demands it). • Output in CSV or a lightweight database such as SQLite—whichever keeps the structure intact and is easy for me to reuse. • A short Jupyter Notebook (or similar) that imports both datasets, performs the agreed-upon analysis, and visualizes key takeaways. Key expectations • Respect the sites’ robots.txt and throttling limits; build in polite delays or rotating headers as required. • Clear, commented code so I can tweak selectors later if the layout changes. • Final delivery should include the raw data files, the executable scripts, and the notebook with narrative explanations of each analytical step. I’m happy to answer technical questions right away so we can lock down timelines and milestones together.