How To Extract Public Web Data at Scale | Easy To Follow Tutorial
Learn from our experts how to extract public web data at scale smoothly and efficiently. Also, check out Oxylabs’ Scraper API solutions for hassle-free scraping 👉https://oxy.yt/1yT0
If you want to delve even deeper into web scraping on a large scale, register for our webinar and learn from the industry experts about issues you can face and solutions to overcome them! Webinar registration link: https://www.bigmarker.com/oxylabs/Lar...
As data volumes are increasing daily, more and more businesses are beginning to realize the benefits of public web data gathering. However, rather than rushing into it, it’s important to take a step back and think about your company’s aims, abilities, and resources – especially when collecting at scale.
In this video on how to extract public web data, you’ll learn how data gathering at scale can benefit commercial enterprises and how to do it effectively. We’ll discuss what defines scalable public web data gathering, what are some common challenges, and how to avoid them.
To build a scalable data extraction pipeline, you’ll need three main components: scraping, storage, and processing. We’ll discuss each of them in detail and delve into the different tools that can be used for each element and how to choose them. As you learn about each of these components, it will become clearer how to get the most out of your public web data collection processes.
In addition, when talking about scalable data extraction, we can’t skip the topic of web scraping. We'll show you an example of web scraping in action and pinpoint the essential things to remember, such as installing the programming language and libraries, setting up an IDE, and carrying out data parsing. Be sure to stay tuned until the end of the video as we'll talk about proxy servers and how they are used for public web data gathering at scale. Also, learn about the difference between datacenter and residential proxies and how to choose the right one for your scraping project.
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0:00 Intro
0:28 Data gathering applications and challenges
01:14 How to extract public web data at scale?
02:42 Scraper APIs for data gathering at scale
04:49 Scalable data storage and processing
06:16 Example of web scraping public web data
08:00 Proxies for extracting public web data
09:59 Conclusion
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