Here are the key points for efficient scraping and parsing of XML and JSON with Python: 1. Pick the Right Tool for the Job: XML: Use lxml for performance, especially with large datasets.

Class XMLConvertor class which is responsible for converting to xml style. It uses a few supporting functions which are 1. get_field_name 2. put_array_values 3. put_object_values 4. put_null_values ...

2. Using Python Libraries. External libraries can be used to utilize JSON and XML files. In this regard, Python libraries are commonly used to handle JSON and XML files which makes the conversion a ...