• Using Java’s HttpURLConnection with headers mimicking a browser helps reduce detection by Carrefour’s anti-scraping measures.

For Shopify stores, I often find variant data in JSON responses, making it easy to extract details for size, color, and other attributes.

• I organize the data by category and platform, which allows for easy comparison and insights into market trends on different sites.

• Scheduling scrapes during peak mealtimes captures fluctuations in delivery times and availability, helping track demand throughout the day.

• Rotating proxies and randomizing user-agent headers helps my scraper avoid detection, particularly for frequently updated sections.

Tracking departure and arrival data over time allows me to analyze patterns and identify common delay causes for certain airlines.

• Using rotating proxies helps distribute traffic and avoid detection, especially when scraping high-demand products or flash sale items.

Scheduling my scraper to check weather data at fixed intervals helps capture day-to-day changes and analyze patterns over time.