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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.

Adding delays between requests prevents triggering anti-scraping mechanisms. I randomize the delays to make my scraper appear more like a real user.

Sometimes, stock data is hidden in WebSocket responses. Monitoring network traffic in the browser can reveal the WebSocket connections and the data they transmit.

Using proxies and user-agent rotation helps avoid detection by Yelp’s anti-scraping mechanisms. Repeated requests from the same IP address or browser signature increase the likelihood of being flagged. Rotating these attributes and introducing random delays reduces this risk. These measures are essential for large-scale scraping projects.

Using rotating proxies and randomizing user-agent headers helps avoid detection by Upwork’s anti-scraping mechanisms. Sending multiple requests from the same IP address or browser signature increases the risk of being flagged. Proxies distribute requests across different IPs, while rotating headers mimic real users by simulating various browsers…

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