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When talking about scraping multiple URLs with Python at once, it is important to explore two popular scraping approaches – synchronous and asynchronous. The main difference between sync and async is the fact that a synchronous code can only run requests one after another while an asynchronous one allows users to process all the requests roughly at the same time.
Even though synchronous scrapers are quicker and easier to build, they are known to be less efficient and more time-consuming than asynchronous scrapers. Thus, when it comes to collecting public information from multiple URLs, experts usually advise implementing the async for data extraction from multiple websites. Make sure to check this comprehensive free white paper about web scraping with Python to gain a deeper understanding: https://oxy.yt/Et52
In this video, you will discover a practical implementation of both sync and async scraping. By completing a requests-html tutorial for sync web scraping and using an aiohttp module for the asynchronous one, the video shows how they compare to each other, and, most importantly, teaches how to scrape multiple pages with Python efficiently.
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By watching the video, you will also learn:
0:00 Intro to scraping multiple website URLs
0:40 Synchronous and asynchronous web scraping
1:22 The difference between Sync and Async
1:56 Synchronous web scraping tutorial
5:00 Asynchronous web scraping tutorial
8:30 Conclusion
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