As a data analyst earlier, I used to rely on the following code given below to convert my Mbox data into CSV for further analysis, audits, and tracking.

import imaplib
import email
import csv

# --- CONFIGURATION ---
IMAP_SERVER = "imap.gmail.com"   # Change if not Gmail
EMAIL_ACCOUNT = "[email protected]"
PASSWORD = "your_app_password"   # Use app password (not your real password)

# --- CONNECT TO MAILBOX ---
mail = imaplib.IMAP4_SSL(IMAP_SERVER)
mail.login(EMAIL_ACCOUNT, PASSWORD)
mail.select("inbox")

# --- SEARCH EMAILS ---
status, messages = mail.search(None, "ALL")
email_ids = messages[0].split()

# --- OPEN CSV FILE ---
with open("emails.csv", "w", newline="", encoding="utf-8") as file:
    writer = csv.writer(file)
    writer.writerow(["From", "Subject", "Date"])

    # --- FETCH EMAILS ---
    for eid in email_ids:
        status, msg_data = mail.fetch(eid, "(RFC822)")
        raw_email = msg_data[0][1]
        msg = email.message_from_bytes(raw_email)

        from_ = msg.get("From")
        subject = msg.get("Subject")
        date = msg.get("Date")

        writer.writerow([from_, subject, date])

print("Emails exported to emails.csv successfully!")

However, recently I came across with a very affordable tool to convert Mbox to CSV with actually a pretty good folder mapping structure while preserving all important and crucial details. It is RecoveryTools Mbox to CSV converter. Not only it is very easy to use, I love its ability to handle bulk data at once and its amazing filters which can sort help you sort data by date, sender, receiver, as well as subject titles. And rest its preview option makes my task much more easier. The fact that it is available for Mac and Windows, I can actually use it in my phone and share it among multiple users. If there is a cheaper more affordably alternative present can cay one suggest