convert-outlook-msg-file | Python library to convert Microsoft Outlook | Email library
kandi X-RAY | convert-outlook-msg-file Summary
kandi X-RAY | convert-outlook-msg-file Summary
This repository contains a Python 3.6 module for reading Microsoft Outlook .msg files and converting them to .eml format, which is the standard MIME format for email messages.
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Top functions reviewed by kandi - BETA
- Load message stream from file
- Construct a MIME message stream
- Parse properties from properties file
- Process an attachment
- Load a message stream
convert-outlook-msg-file Key Features
convert-outlook-msg-file Examples and Code Snippets
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QUESTION
I'm parsing a .msg file (using Apache POI), but I have trouble finding any official or published list of properties supported by Outlook. The best I could find are list used by few other projects that claim to have gotten some of it from a mapitags.h file.
Examples:
- https://github.com/mvz/email-outlook-message-perl/blob/master/lib/Email/Outlook/Message/Base.pm
- https://github.com/JoshData/convert-outlook-msg-file/blob/master/outlookmsgfile.py (which got it from https://github.com/mvz/email-outlook-message-perl/blob/master/mapitags.h)
For example, what is property 6001?
After looking around, I found Microsoft's published Mapitags.h (download here), it is mentioned as:
"6000 65FF User-defined non-transmittable property"
So is there no way of finding out what this property does? I'm looking for a bounceTo property, but it's not mentioned in any of these header files.
...ANSWER
Answered 2019-Apr-11 at 20:52There is no such list. Besides hundreds or even thousands of properties used by Outlook itself, store provides and third-party apps are free to use their own properties. See http://www.dimastr.com/redemption/utils.htm#xmapi for a short overview of the MAPI properties.
If you want to see properties set on an existing message or MSG file, use MFCMAPI or OutlookSpy.
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Install convert-outlook-msg-file
You can use convert-outlook-msg-file like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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