https://github.com/brenordv/outlook-batch-attachment-extractor
https://github.com/brenordv/outlook-batch-attachment-extractor
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/brenordv/outlook-batch-attachment-extractor
- Owner: brenordv
- Created: 2022-07-29T17:21:57.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2022-07-29T17:26:01.000Z (almost 3 years ago)
- Last Synced: 2025-01-20T08:13:06.353Z (5 months ago)
- Language: Python
- Size: 3.91 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
# pytlook: Python-Outlook Attachment Extractor
This script extracts the attachments from emails where the subject matches a certain criteria.
The criteria itself is a callback function, so you can craft it to your needs.
When an email message is matched:
1. A folder will be created with the subject text prepended by date (YYYY.MM.DD);
2. Inside that folder, a text file will be created with the email message;
3. All attachments will be saved;
> Attention! This script only works on Windows AND Outlook desktop application must be installed.
# How to use
## Requirements
Make sure you have pywin32 installed:
```shell
pip install -r requirements.txt
```
## How to run
Since this is a one time only script (for now, at least), i haven't created a command line.
So, to use, change the parameters:
```python
main(
target_email="[email protected]", # email address associated with the account you want to read
attachment_base_folder=Path("attachments"), # Base path to where you want to save the attachments
email_filter_by_subject=partial(email_filter_by_subject_callback, # Callback function that will filter the messages by it's subject.
target_keywords=[
["recibo", "pagamento"],
["informe", "rendimento"],
["imposto", "renda"],
["irpf", ]
]),
verbose=True # if true, will print a bunch of informative messages.
)
```
A couple notes:
- The callback is optional. if you pass None, all messages will be matched.
- I'm using partial because I wanted to make a bit more dynamic the way I analyzed the emails. In brazilian portuguese, those keywords represent common word combinations for emails with paycheck receipts and tax related messages.
# TODO
- Add command line
- Try to use parallel processing here.