Dovilas Kaarel
Forum Replies Created
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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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- Traveloka’s flight tracking data includes information on seat availability, which is useful for analyzing travel demand trends.
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Using location-based proxies, I can capture data from country-specific Shopee and Lazada sites, as popular gadgets vary by region.
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- Rotating proxies for each country enables access to region-specific data, as trends vary widely between countries in Southeast Asia.
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- Setting up proxy rotation enables frequent checks on top categories like tech gadgets and fashion without getting blocked.
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Organizing metadata by category, such as electronics or clothing, helps me manage and analyze large datasets across different product types.
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Tracking price per square foot on Zillow reveals real estate inflation trends, particularly valuable for investment analysis.
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I focus on top-traded coins, like Bitcoin and Ethereum, which reduces the volume of data while maintaining insight into the market’s pulse.
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Rotating IPs and user-agent headers in requests reduces detection risk when frequently accessing 1688.com’s popular products.
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I implement conditional checks within my scraper to handle optional fields that may appear on some stores but not others.
