The popular programming language Python is a great tool for creating web scraping software. Since websites are constantly being modified, web content changes over time. For example, the website’s design may be modified or new page components may be added. A web scraper is programmed according to the specific structure of a page. If the structure of the page is changed, the scraper must be updated. This is particularly easy to do with Python.
Python is also effective for word processing and web resource retrieval, both of which form the technical foundations for web scraping. Furthermore, Python is an established standard for data analysis and processing. In addition to its general suitability, Python has a thriving programming ecosystem. This ecosystem includes libraries, open-source projects, documentation, and language references as well as forum posts, bug reports, and blog articles.
There are multiple sophisticated tools for performing web scraping with Python. Here we will introduce you to three popular tools: Scrapy, Selenium, and BeautifulSoup. For some hands-on experience, you can use our tutorial on web scraping with Python based on BeautifulSoup. This will allow you to directly familiarize yourself with the scraping process.