20

I looked at the previous threads regarding this topic, but they have not helped solve the problem.

I'm trying to open a password protected file in excel without any user interaction. I searched online, and found this code which uses win32com.client When I run this, I still get the prompt to enter the password...

from xlrd import *
import win32com.client
import csv
import sys

xlApp = win32com.client.Dispatch("Excel.Application")
print "Excel library version:", xlApp.Version
filename,password = r"\\HRA\Myfile.xlsx", 'caa team'
xlwb = xlApp.Workbooks.Open(filename, Password=password)
Community
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Schack
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5 Answers5

25

I don't think that named parameters work in this case. So you'd have to do something like:

xlwb = xlApp.Workbooks.Open(filename, False, True, None, password)

See http://msdn.microsoft.com/en-us/library/office/ff194819.aspx for details on the Workbooks.Open method.

Abdul Niyas P M
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Bjoern Stiel
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21

I recently discovered a Python library that makes this task simple.

It does not require Excel to be installed and, because it's pure Python, it's cross-platform too!

msoffcrypto-tool supports password-protected (encrypted) Microsoft Office documents, including the older XLS binary file format.

  • Install msoffcrypto-tool:

     pip install msoffcrypto-tool

  • You could create an unencrypted version of the workbook from the command line:

    msoffcrypto-tool Myfile.xlsx Myfile-decrypted.xlsx -p "caa team"

  • Or, you could use msoffcrypto-tool as a library. While you could write an unencrypted version to disk like above, you may prefer to create an decrypted in-memory file and pass this to your Python Excel library (openpyxl, xlrd, etc.).

    import io

import msoffcrypto
import openpyxl


decrypted_workbook = io.BytesIO()

with open('Myfile.xlsx', 'rb') as file:
    office_file = msoffcrypto.OfficeFile(file)
    office_file.load_key(password='caa team')
    office_file.decrypt(decrypted_workbook)

# `filename` can also be a file-like object.
workbook = openpyxl.load_workbook(filename=decrypted_workbook)
eidorb
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    I cannot upvote this solution enough. Unlike various other solutions (such as using xlwings), this method allows you to read the decrypted data with the library you're already using, e.g. `pandas.read_excel(decrypted_workbook)` or `openpyxl.load_workbook(decrypted_workbook)` – dancow Mar 12 '22 at 00:25
1

If your file size is small, you can probably save that as ".csv". and then read

It worked for me :)

GpandaM
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0

Openpyxl Package works if you are using linux system. You can use secure the file by setting up a password and open the file using the same password.

For more info: https://www.quora.com/How-do-I-open-read-password-protected-xls-or-xlsx-Excel-file-using-python-in-Linux

Raj
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  • No, this doesn't work. I looked and found that Openpyxl cannot open a password-protected Excel. – Chuck Jan 03 '22 at 19:54
-1

Thank you so much for the great answers on this topic. Trying to collate all of it. My requirement was to open a bunch of password protected excel files ( all had same password ) so that I could do some more processing on those. Please find the code below.

import pandas as pd
import os

from xlrd import *
import win32com.client as w3c
import csv
import sys
from tempfile import NamedTemporaryFile

    df_list=[]
#    print(len(files))
    for f in files:
#    print(f)
    if('.xlsx' in f):


        xlwb = xlapp.Workbooks.Open('C:\\users\\files\\'+f, False, True, None, 'password')

        temp_f = NamedTemporaryFile(delete=False, suffix='.csv')  
        temp_f.close()
        os.unlink(temp_f.name)  

        xlwb.SaveAs(Filename=temp_f.name, FileFormat=xlCSVWindows) 
        df = pd.read_csv(temp_f.name,encoding='Latin-1')  # Read that CSV from Pandas
        df.to_excel('C:\\users\\files\\password_removed\\'+f)
pnv
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