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Even though the capabilities of scraping bots are getting more refined, there are more complexities involved. Web scrapers are becoming specialized and designed for different kinds of uses. In other words, when choosing a web scraping service or building your scraper, you will have a lot of things to consider.
This article will discuss which programming language you should choose for scraping and when.
Web scraping, web crawling, or data extraction are the terms that describe the process of gathering valuable data from web pages. It's an automated process involving large amounts of data. When browsing the web and downloading some page, text, or image, you could say that's manual web scraping.
However, doing this manually doesn't make sense as it requires a lot of time and effort. Scraping bots can do this much faster and deliver data in a structured fashion so that you can easily use it for analysis.
Web scrapers are software tools designed to help you with this process, but these tools come with different functionalities, capabilities, and features. Apart from the design, these factors depend on the coding language used for their development.
Python is widely known as a scraping language because of its comprehensive capabilities and flexibility. You can use it for almost all web-crawling efforts without a hitch. At the same time, it's both simple to learn and great for beginners.
Python is effective for simple data extracting processes and also suitable for more complex applications. One of the most used frameworks for scraping is BeautifulSoup, based on Python. It's straightforward to use and makes tasks like parsing, searching, and navigation a piece of cake.
Python web scraping tools are effective at simulating human behavior, accurate scraping, and data targeting. If you're interested in the technical side of Python web scraping, read the full blog post here.
In the end, Python web scraping solutions are more popular because of a larger community and the Beautiful Soup library that makes it easy to use. Still, Python is often avoided when there's a need for scaling large projects.
Learn also: How to Extract All Website Links in Python.
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