• With Rust’s Actix framework, I can manage concurrent requests efficiently, capturing multiple flight routes in a single run.

If API endpoints are accessible through network requests, mimic them directly, which can be faster than scraping HTML.

By setting my scraper to check prices daily, I capture fluctuations in rates for hotels, flights, and activities, especially during peak seasons.

Tracking both ratings and reviews on each platform reveals which gadgets have high satisfaction rates, helping identify quality products.

• By comparing prices and availability across both platforms, I get a clearer picture of consumer preferences and pricing strategies.

• By setting up periodic scrapes for listings by zip code, I capture price changes over time, which is useful for forecasting trends.

Organizing reviews by rating level (e.g., positive, neutral, negative) enables sentiment analysis, helping identify high-rated products.

For dynamically loaded content, using Playwright to fully render the page ensures all Q&A data is loaded before scraping.