How to Speed Up Web Scraping – Python Tutorial

Gathering vast amounts of public data is necessary to get valuable business insights. To do it, you must access thousands or even millions of web pages and do it fast since you want to save as much time as possible to analyze gathered data and make important decisions. Check Oxylabs’ web scraping solutions to ease your load and save time

This video tutorial explains what slows down web scraping processes and, most importantly, covers in-depth how to speed up your Python script for web scraping to save time for things that matter the most – making data-driven decisions.

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Other related videos to help you with public data gathering tasks:

🎥 Web Scraping with Python – Tutorial for Beginners:
🎥 How to Build a Price Tracker With Python:

In this video, Iveta covers the following:

00:00 Introduction
00:32 What slows down web scraping?
02:15 How to speed up web scraping in Python?
02:28 Preparations
04:12 Unoptimized web scraping code example
05:16 Web scraping using multiprocessing
06:59 Web scraping using multithreading
08:14 Asyncio for asynchronous programming
9:47 Conclusion

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[MrFuguDataScience]

I appreciate the content and contribution. I will definitely keep an eye out for future work.