Web parsing using Python
In earlier chapters (in both the explanations and code examples), we learned that web scraping is a procedure for extracting data from websites, as per our requirements and choice. Data collection can be smooth and error-free from a coding perspective with the use of some Python libraries, but still, identifying content and traversing through elements (individual or nested) are required, at a minimum, to carry out the task.
To ensure high-quality data is collected, the content on the web must be complete and error-free. We use CSS or XPath-based expressions in the DOM structure. If the DOM’s structure is somehow imperfect or it contains bugs, such as incomplete tags, missing closing tags, or spelling errors in tags, then the code expressions and query paths that are deployed will not be directed to the original nodes or elements of the DOM. This will lead to the extraction of incomplete or unnecessary content, which might then require extra tasks...
