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When scraping headlines, I always add error handling for cases where the expected tags are missing or the page fails to load. This ensures the script doesn’t crash unexpectedly.

I implement logging in my scrapers to track which requests succeed or fail. This helps identify issues quickly when something goes wrong with the scraping process.

Using proxies and rotating user-agent headers ensures that the scraper avoids detection by Sephora. Making too many requests from a single IP or user-agent increases the likelihood of being blocked. Rotating these attributes mimics real user behavior, improving the scraper’s success rate. Randomizing request intervals adds another layer…

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Using rotating proxies and random user-agent headers is essential for avoiding detection by Kickstarter’s anti-scraping systems. Multiple requests from the same IP or browser fingerprint can lead to blocks. Rotating these attributes and randomizing request intervals helps maintain anonymity. These practices are vital for long-term scraping projects.

To manage large-scale scraping, I store images in cloud storage while maintaining metadata like titles and prices in a database for easy retrieval.

Storing book data in a database like MySQL allows for better organization and querying, especially when dealing with large datasets from multiple pages.

To avoid detection by Trulia’s anti-scraping measures, proxies and user-agent rotation are essential. By rotating proxies, requests appear to come from different IP addresses, reducing the likelihood of being flagged as a bot. Similarly, rotating user-agent headers ensures that requests mimic those of various browsers and devices. Introducing…

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Using proxies prevents blocks when scraping flight data frequently. Rotating IPs ensures I stay under the radar and avoid detection.