Last active
August 29, 2015 14:09
-
-
Save r0yfire/1fdf401904b62a2d5b4f to your computer and use it in GitHub Desktop.
Search your emails for a keyword or string and generate CSV file with frequency by month.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import imaplib | |
import email | |
from datetime import datetime | |
### | |
### Enter your IMAP server address here | |
### | |
mail = imaplib.IMAP4_SSL('mail.example.com') | |
### | |
### Enter your email and password here | |
### | |
mail.login('[email protected]', 'password') | |
# Select inbox and search | |
mail.select('inbox') | |
res, data = mail.search(None, 'BODY', '"fire alarm"') | |
# Parse emails | |
emails = [ mail.fetch(x, "(RFC822)") for x in data[0].split() ] | |
email_list = [ email.message_from_string(x[1][0][1]) for x in emails ] | |
# Convert to datetime object | |
dates = [ datetime.strptime(" ".join(x.get('Date').split(' ')[2:4]), '%b %Y') for x in email_list ] | |
# Get frequency and save to CSV file. | |
uniq = {} | |
uniq_get = uniq.get | |
for i in dates: | |
uniq[i] = uniq_get(i, 0) + 1 | |
srted = sorted([(x, uniq[x]) for x in uniq], key=lambda k:k[0]) | |
results = [(x[0].strftime('%b %Y'), x[1]) for x in srted] | |
fh = open('frequency.csv', 'w') | |
[ fh.write("%s,%s\n" %(x[0], x[1])) for x in results ] | |
fh.close() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment