Search
 
SCRIPT & CODE EXAMPLE
 
CODE EXAMPLE FOR PYTHON

msg to pdf converter using python

# 1). Import the required modules and setup working directory
    
    import extract_msg
    import os
    import pandas as pd
    direct = os.getcwd() # directory object to be passed to the function for accessing emails, this is where you will store all .msg files
    ext = '.msg' #type of files in the folder to be read
    
    # 2). Create separate folder by email name and extract data 
    
    def content_extraction(directory,extension):
        for mail in os.listdir(directory):
            try:
                if mail.endswith(extension):
                    msg = extract_msg.Message(mail) #This will create a local 'msg' object for each email in direcory
                    msg.save() #This will create a separate folder for each email inside the parent folder and save a text file with email body content, also it will download all attachments inside this folder.            
            except(UnicodeEncodeError,AttributeError,TypeError) as e:
                pass # Using this as some emails are not processed due to different formats like, emails sent by mobile.
    
    content_extraction(direct,ext)

#3).Import the data to Python DataFrame using the extract_msg module
#note this will not import data from the sub-folders inside the parent directory 
#rather it will extract the information from .msg files, you can use a loop instead 
#to directly import data from the files saved on sub-folders.

def DataImporter(directory, extension):
    my_list = []
    for i in os.listdir(direct):
        try:
            if i.endswith(ext):
                msg = extract_msg.Message(i)
                my_list.append([msg.filename,msg.sender,msg.to, msg.date, msg.subject, msg.body, msg.message_id]) #These are in-built features of '**extract_msg.Message**' class
                global df
                df = pd.DataFrame(my_list, columns = ['File Name','From','To','Date','Subject','MailBody Text','Message ID'])
                print(df.shape[0],' rows imported')
        except(UnicodeEncodeError,AttributeError,TypeError) as e:
            pass

DataImporter(direct,ext)
Source by stackoverflow.com #
 
PREVIOUS NEXT
Tagged: #msg #pdf #converter #python
ADD COMMENT
Topic
Name
8+8 =