An automated script was developed to streamline the process of converting open pull requests (PRs) from a challenges repository into markdown format for weekly review posts. Utilizing the GitHub API and Python's collections.defaultdict, the script extracts PR information without requiring an API key. It parses each PR using a fixed template to document developers' learning experiences and feedback. A custom regular expression is employed to extract specific content from the PR template, ensuring a consistent format. The script then organizes the extracted data into a dictionary, sorting it by code challenge IDs. Finally, the script generates markdown that is compatible with review posts, which is printed in an orderly manner, showcasing all PRs per challenge. This automation not only saves time but also enhances Python skills, with the complete script available for review in a blog code repository.