I’m looking for a straightforward Python-based scraper that pulls text data from a short list of real-estate websites I’ll share. Scope is intentionally lean—no images, advanced analytics, or large-scale crawling required. A single script that can be run locally is ideal. BeautifulSoup with requests is perfectly fine, though I’m open to Scrapy or a similar lightweight tool if you prefer. Key points: • Handle basic pagination where it exists. • Respect robots.txt and add a modest delay between requests to avoid being blocked. • Output clean CSV or JSON; keep the column order consistent. • Include clear in-code comments plus a short README so I can adjust the URL list myself later. Deliverables: 1. The working .py file. 2. README with setup and run instructions. 3. All the scraped listings based on the shared criteria This is a quick project aimed at a clean, dependable script rather than a fully featured crawler, so please keep solutions simple and resource-friendly.