Sultan Miela
Forum Replies Created
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When dealing with infinite scrolling, I rely on Puppeteer to simulate scrolling and load additional data. It’s slower but ensures complete extraction.
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Some descriptions are hidden in JSON responses. Inspecting the network traffic can reveal easy-to-use endpoints.
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Randomizing request intervals is essential when scraping weather data periodically. It prevents the website from flagging repetitive traffic as suspicious.
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Batch downloading images with multithreading speeds up the process, especially for large datasets.
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Using proxies and rotating user-agent headers is vital for avoiding detection by Fiverr’s anti-bot systems. Sending multiple requests from the same IP address can lead to blocks, so using rotating proxies ensures that traffic appears distributed. Randomizing user-agent headers further mimics real users by simulating different browsers and devices. These techniques, combined with random request intervals, reduce the likelihood of being flagged as a bot. Such precautions are especially important for large-scale scraping projects.
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Error handling ensures the scraper runs reliably even if Rightmove updates its website layout. Missing elements, such as prices or locations, can disrupt the scraping process if not handled properly. Adding conditional checks ensures that such issues do not cause the scraper to crash. Logging skipped entries provides valuable insights into improving the scraper. Regular updates to the script help maintain its functionality despite changes to the website’s structure.
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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.
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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.
