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How can I optimize my scraping code for faster performance?
Multithreading is a big help. Using libraries like Concurrent Futures or asyncio in Python allows me to run multiple requests simultaneously, which speeds up scraping significantly.
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4 Replies
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Avoid unnecessary parsing. I directly extract data from JSON or API endpoints whenever possible, as parsing HTML takes more time.
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Use efficient parsers. Lxml and BeautifulSoup’s lxml parser are faster than BeautifulSoup’s default parser. For large datasets, I opt for lxml for speed.
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Batch requests when possible. By batching requests with connection pooling, I cut down the time spent on individual connections and speed up overall data retrieval.
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Reduce redundancy in your scraping logic. Sometimes, caching responses or reusing selectors prevents extra processing, making the code leaner and faster.
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