Scraping with a headless browser like Selenium allows me to access hidden availability data, which may be updated dynamically.

Using Scrapy or BeautifulSoup with pagination, I scrape multiple pages of reviews and aggregate them by product to analyze sentiment.

I use Scrapy for larger e-commerce sites, as it’s faster and has built-in pagination support, ideal for scraping high volumes of products.

I also monitor cookies and tokens closely, as financial sites frequently change these to prevent continuous access.

JSON extraction tools can capture data embedded within scripts, which is common on pages that rely on JavaScript for layout.

Rakuma’s product data is often available via JSON within page scripts, so I use Requests and JSON libraries in Python to parse this directly.