Parsing

Keepin’ it short and sweet: data parsing is a process of computer software converting unstructured and often unreadable data into structured and readable format. Parsing offers a lot of benefits, some of which include work optimization, saving time, reducing costs, and many more; in addition, you can use parsed data in plenty of different situations.

Even tho that sounds epic, parsing itself can be quite complicated. But hold on, buddy, and get ready to explore a step-by-step process on how to parse HTML and XML documents using lxml.

If you're fresh-new to data scraping, you may not be familiar with selectors yet. Let us introduce ya – selectors are objects that find and return web items on a page. These pieces are an essential part of a scraper, as they affect your tests' outcome, efficiency, and speed.

Yep, understanding the idea of a selector isn't that complicated. Finding the right selector itself might be. To be honest, even the two languages that define them, XPath and CSS, have their own pros and cons. So it can quickly become a headache to choose one of them. But here's some good news – we're here to help! Let's explore it together.

Data parsing is the process of converting raw, unstructured data into well-structured and understandable information. In this article, we’ll explore what data parsing is, how it works, and the various parsing technologies that unlock a range of features to both businesses and individuals.