Monitoring rate changes by state allows for regional trend analysis, as mortgage rates often vary by location.

• Scraping keywords, meta descriptions, and page titles for top-ranking sites reveals valuable insights into SEO trends and strategies.

• I set up location-based proxies to access region-specific promotions, as Grab offers different discounts based on city or country.

• Setting up a dedicated scraper for each Shopify store helps me manage and organize data from different brands more effectively.

• If reviews load via AJAX, intercept the network request in DevTools to locate the JSON source, enabling a faster scrape.

Scheduling scrapes at different times captures daily fluctuations, which is useful for analyzing short-term trends and seasonal interests.

• By setting up periodic scrapes, I track changes in pricing and stock levels, which is useful for monitoring competitors or seasonal demand.

Use regex in PHP to extract structured elements like product titles and prices from MediaMarkt’s HTML content, minimizing server load.

• For high-demand items, I add an alert system to notify me when specific products go on sale or change in price.

Utilize Ruby’s open-uri library to fetch product page URLs and handle basic data extraction, such as product names and categories.