• Monitoring SERP changes over time for specific keywords allows me to track ranking shifts and analyze which content performs best.

• Monitoring keywords like “promo code” or “discount” in the app’s source allows me to track new offers as they are introduced.

• I respect the store’s robots.txt file and avoid restricted areas like admin panels or checkout pages to stay compliant.

Using the Axios library to directly fetch review JSON data, if accessible, is often more efficient than full-page scraping.

• I monitor popular keywords and track the search interest over time, which helps identify emerging topics in real-time.

• Use proxies with random headers to reduce the risk of IP bans, especially when scraping high-demand categories like electronics.

• Set up a scheduler to periodically scrape key categories like electronics, capturing price fluctuations and availability changes over time.

• I filter out offers that don’t meet a certain discount threshold, which helps prioritize only the most substantial savings.

• By setting up conditional checks with Nokogiri, you can focus on in-stock items only, reducing unnecessary data and server load.