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One way to enhance the scraper is by adding functionality to detect seasonal discounts or promotions. For a site like Decathlon, prices often vary depending on the time of year, and tracking these changes can provide valuable insights into seasonal trends. Another improvement could involve incorporating logic to capture images of…

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Integrating time-based tracking into the scraper can help monitor how promotions change over time. For instance, capturing the expiry dates of deals allows for better analysis of promotional cycles. Another improvement could involve capturing reviews or ratings for promoted products, which can add context to the pricing data. These…

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A useful addition to the scraper is monitoring Aldi’s “Special Buys” section, which features limited-time products. Tracking these products can provide insights into seasonal trends and demand patterns. Another improvement could involve analyzing how availability fluctuates during peak hours or days. By capturing such trends, you can…

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Handling pagination is essential for scraping all restaurant and menu data from Grubhub. Menu items and restaurants are often spread across multiple pages, so automating navigation ensures comprehensive data collection. Adding random delays between requests helps mimic human behavior and reduces detection risks. With pagination, the scraper…

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A helpful enhancement to the scraper would be to integrate sorting logic directly in the script. By automating the selection of specific filters on the website, such as “low-to-high price” or “customer favorites,” you can target a specific dataset more efficiently. Another useful addition is the ability to monitor price changes over…

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Integrating product image URLs into the dataset enhances the scraper’s output, especially for e-commerce analysis. For instance, collecting images alongside product details provides a richer dataset that can be used for visual comparisons. Another improvement could involve identifying and categorizing items based on specific tags, such as…

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Handling pagination ensures the scraper collects data from all available products on Petco. Products are often distributed across multiple pages, and automating navigation through “Next” buttons allows for a complete dataset. Random delays between page requests mimic real user behavior and reduce the likelihood of detection. Pagination…

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Pagination handling is an important improvement for scraping meal data from HelloFresh. Meal plans and options are often distributed across multiple pages or sections, and automating navigation ensures a more complete dataset. Random delays between requests mimic human browsing behavior, reducing the risk of detection. This functionality…

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