Yes, you can use pypff
to extract text. I followed this link too (Export PST and OST with pypff / libpff).
The pypff.file()
can be confusing since the developer didn't provide a decent document of every function and attribute for instructions. Took me a while to explore it myself.
Here is what I did recently.
# path to your pst file
opst = pypff.open(path)
root = opst.get_root_folder()
# 3 subfolders, for me, only 2nd one has content
# Use 'root.get_number_of_sub_folders()' to see which folder is blank
folder = root.get_sub_folder(1)
# 2 subfolders, the 2nd one is my inbox
inbox = folder.get_sub_folder(1)
# mail count in current folder
count = inbox.get_number_of_sub_items()
# Example of extracting info from one email
msg = inbox.get_sub_item(0)
subject = msg.subject
content = msg.plain_text_body.decode()
sender = msg.sender_name
header = msg.transport_headers
sent_time = msg.delivery_time
if msg.number_of_attachments > 0:
# read from attachment 1
size = attachment = msg.get_attachment(0).get_size()
attachment_content = (msg.get_attachment(0).read_buffer(attach_size)).decode('ascii', errors='ignore')
For those who want to use pypff
, don't use pip install. It only builds from version 20161119, which crashes a lot for me.
Build from newer version on their website. There's a setup.py
, it should be easy to build.
For attachments, ascii
decoder is not ideal. I have tried all 98 decoders in python3, and none can decode every byte. Which means, a single method cannot decode all. In my case, utf_16
can extract the content, which is good enough for me.