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Tips for scraping Zalando e-commerce data using Python?
Use requests and BeautifulSoup for static content like product titles, prices, and descriptions, as Zalando’s HTML structure is relatively consistent.
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4 Replies
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- For handling dynamically loaded images or offers, Selenium with a headless browser like Chrome helps to render the full page.
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Organize data by category, capturing product attributes like color and size for structured and clean output.
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If API endpoints are accessible through network requests, mimic them directly, which can be faster than scraping HTML.
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- Use proxies and user-agent rotation to avoid IP blocking, especially when scraping high-demand categories like fashion or footwear.
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