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By capturing timestamps, I can track price changes over time, revealing seasonal trends and sales patterns.

• Saving data with timestamps enables price trend analysis, which helps identify the best buying times for popular items.

Rotating proxies and user-agent headers in Watir reduce detection risks, as Pinduoduo monitors frequent access closely.

• Parsing JSON responses in Java enables faster data extraction if travel package details are available via AJAX.

• Organizing data by brand or product type makes it easier to compare similar items, like TVs or appliances, across different sellers.

• I focus on high-priority products only, reducing the number of requests while ensuring key items are monitored for price changes.

If the site provides only a summary of reviews, I set up periodic scraping to capture updates and track changes in ratings over time.

For large inventories, I focus on high-demand products only, which reduces the load on my scraper and avoids unnecessary data collection.