News Feed Forums General Web Scraping How can I optimize my scraping code for faster performance?

  • How can I optimize my scraping code for faster performance?

    Posted by Zahir Xiu on 11/13/2024 at 1:50 pm

    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.

    Ravi Ernestas replied 1 month, 1 week ago 5 Members · 4 Replies
  • 4 Replies
  • Maja Honza

    Member
    11/15/2024 at 7:28 am

    Avoid unnecessary parsing. I directly extract data from JSON or API endpoints whenever possible, as parsing HTML takes more time.

  • Straton Owain

    Member
    11/15/2024 at 9:34 am

    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.

  • Raul Marduk

    Member
    11/15/2024 at 9:48 am

    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.

  • Ravi Ernestas

    Member
    11/16/2024 at 4:55 am

    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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