Python - Extract & parse raw scraped identification data and reformat to "human name" data values (nameparser/HumanName imports)

human_name_parser.py

from nameparser import HumanName
import pandas as pd

def parse_names_from_file(input_file_path, output_file_path):
    # Read the names from a file
    with open(input_file_path, 'r') as file:
        names = file.read().splitlines()

    # Parse the names using the nameparser library
    parsed_names = []
    for name in names:
        human_name = HumanName(name)
        parsed_names.append({
            'title': human_name.title,
            'first_name': human_name.first,
            'middle_name': human_name.middle,
            'last_name': human_name.last,
            'suffix': human_name.suffix
        })

    # Convert the parsed names to a DataFrame
    df = pd.DataFrame(parsed_names)

    # Write the DataFrame to a CSV file
    df.to_csv(output_file_path, index=False)

# Define the path to your file of names and the output file
input_file_path = '/path/to/dir/names.txt'
output_file_path = '/path/to/dir/names_formatted.csv'

# Run the function
parse_names_from_file(input_file_path, output_file_path)