Now that we understand how a WAL file is structured and what data type we'll use to store data, we can begin planning the script. As we're working with a large binary object, we'll make great use of the struct library. We first introduced struct in Chapter 6, Extracting Artifacts from Binary Files, and have used it whenever dealing with binary files. Therefore, we won't repeat the basics of struct in this chapter.
The goal of our wal_crawler.py script is to parse the content of the WAL file, extract and write the cell content to a CSV file, and, optionally, run regular expression modules against the extracted data. This script is considered more advanced due to the complexity of the underlying object we're parsing. However, all we're doing here is applying what we've learned in the previous chapters at...
