Sandip Laxmi
Forum Replies Created
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Sandip Laxmi
Member01/07/2025 at 7:10 am in reply to: How do you scrape product ratings from an e-commerce website?For static sites, BeautifulSoup is my favorite tool. It’s simple, lightweight, and easy to set up.
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Sandip Laxmi
Member01/07/2025 at 7:10 am in reply to: How to handle large-scale data scraping efficiently?Using proxies is essential for large-scale scraping. It helps distribute requests and prevents IP blocks.
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Sandip Laxmi
Member01/07/2025 at 7:09 am in reply to: What data can I scrape from StockX.com sneaker listings using Ruby?Error handling is essential to ensure the scraper works smoothly despite missing or updated elements. If StockX modifies its page layout, the scraper should be able to skip problematic elements like missing prices or popularity scores. Adding conditional checks for null values prevents crashes and allows the script to continue functioning. Regularly testing the scraper ensures it adapts to changes effectively. These measures make the scraper reliable and robust.
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Sandip Laxmi
Member01/07/2025 at 7:09 am in reply to: How to scrape product prices from Newegg.com using Python?Error handling is critical to ensure the scraper continues to work reliably. Newegg may occasionally update its page structure, which can result in missing elements like product names or prices. Adding conditional checks for null values and logging skipped items ensures the scraper doesn’t crash. Regular updates and testing keep the script functional even with changes to the website. These practices make the scraper robust and effective.
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Sandip Laxmi
Member01/07/2025 at 7:09 am in reply to: What details can I scrape from EconoLodge.com hotel listings using Ruby?Error handling ensures the scraper remains robust even if EconoLodge updates its page structure. Missing elements like prices or locations could cause the scraper to fail without proper checks. Conditional checks for null values prevent runtime errors and allow the scraper to skip problematic listings. Logging skipped hotels helps refine the script and improve its reliability. Regular updates ensure the scraper continues to function effectively over time.
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Sandip Laxmi
Member01/07/2025 at 7:08 am in reply to: How can I scrape stock prices from Robinhood.com using Python?Error handling ensures the scraper works reliably even if Robinhood updates its website layout. Missing elements, such as prices or changes, could cause the script to fail without proper checks. Adding conditions for null values or implementing try-catch blocks prevents runtime errors. Logging skipped stocks helps identify issues and refine the scraper. Regular updates to the script ensure it continues to function effectively.
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Sandip Laxmi
Member01/07/2025 at 7:08 am in reply to: How to scrape product images from an online store?Lazy-loaded images can be tricky. I use Selenium to scroll through the page and trigger the loading of all images before starting the scraping process.