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  • If an API is available, I always use it. It’s faster and avoids dealing with HTML structure changes.

  • 676cfe584c0f0 bpthumb

    Pranay Hannibal

    Member
    12/26/2024 at 7:03 am in reply to: How to handle large-scale data scraping efficiently?

    Scrapy is my go-to tool for large-scale projects. Its built-in features like middlewares and pipelines make it very efficient.

  • Handling pagination in the StockX scraper allows for collecting data from all available sneakers. Automating navigation through “Next” buttons ensures you capture the entire dataset, which can include rare or popular listings. Random delays between requests help mimic human behavior, reducing the chances of being flagged. With pagination support, the scraper provides a more comprehensive dataset for analysis.

  • To collect data from all product pages on Newegg, pagination handling is essential. Automating navigation through the “Next” button ensures that you don’t miss products listed on subsequent pages. Random delays between requests make the scraper appear more like a human user, reducing the chances of being flagged. Proper pagination handling ensures a more complete dataset for analysis. This functionality is especially useful when analyzing a large product category.

  • Adding pagination handling allows the scraper to collect hotel data across all available pages. EconoLodge typically lists hotels over multiple pages, so automating navigation through “Next” buttons ensures a complete dataset. Introducing random delays between requests mimics human behavior and reduces the risk of being flagged. With pagination, the scraper becomes more effective for gathering comprehensive hotel data.

  • Pagination handling is critical for scraping all available stock data from Robinhood. Stocks are often distributed across dynamically loaded sections, so automating scrolling or pagination ensures a comprehensive dataset. Tools like Selenium can help simulate user interactions to load additional stocks. Random delays between interactions mimic human behavior, reducing the risk of detection. Proper pagination handling allows for more detailed analysis of stock trends.

  • For dynamically loaded content, chromedp is an excellent Go library. It allows JavaScript rendering and interaction with elements like dropdowns and buttons.