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How can I monitor price drops on Xiaohongshu (Little Red Book) with Python?
Selenium in Python handles Xiaohongshu’s dynamically loaded content, capturing product images, prices, and descriptions.
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5 Replies
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Using the Requests library, I check for JSON data in network responses, as Xiaohongshu often provides structured data for products.
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Scheduling scrapes allows me to track price changes over time, particularly during Xiaohongshu’s seasonal promotions.
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- Saving data with timestamps enables price trend analysis, which helps identify the best buying times for popular items.
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- By rotating IP addresses and user-agent headers, I avoid detection, especially when scraping high-demand product categories.
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Parsing product ratings and user-generated content helps understand trends in consumer preferences on Xiaohongshu.
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