Scheduling scrapes at different times of day captures price fluctuations, helping me track changes during active trading hours.

eBay’s HTML structure often includes variation data directly on the product page, which I access using CSS selectors to capture all options.

eBay listings also include item IDs and sometimes UPCs. I focus on parsing these fields from the HTML source using structured selectors.

Setting up a scraper to target bestseller pages is another option. I schedule it to run at different times to capture fluctuations in top-selling products.

• Using Scrapy’s flexible selectors allows me to set up store-specific pipelines, which makes it easier to manage varying formats.

For dynamically loaded content like reviews, Chromedp in Go helps render pages fully, allowing for complete data extraction.

• Using JSON parsing for network requests provides quick access to flight data without requiring full-page rendering.

Aggregating data across Lazada, Shopee, and Tokopedia allows me to compare e-commerce growth in different countries like Indonesia, Malaysia, and Thailand.

• Puppeteer in Node.js is ideal for navigating Alibaba’s dynamic content, capturing wholesale product listings, prices, and seller info.