Skip to content

Instantly share code, notes, and snippets.

Last active August 25, 2023 22:44
Star You must be signed in to star a gist
What would you like to do?
A python script for extracting email addresses from text files.You can pass it multiple files. It prints the email addresses to stdout, one address per line.For ease of use, remove the .py extension and place it in your $PATH (e.g. /usr/local/bin/) to run it like a built-in command.

The program below can take one or more plain text files as input. It works with python2 and python3.

Let's say we have two files that may contain email addresses:

  1. file_a.txt
foo bar
ok sup,wyd
hello world!

  1. file_b.html
    <li><span class=pl-c>Dennis Ideler &lt;;</span></li>
    <li><span class=pl-c>Jane Doe &lt;;</span></li>

To extract the email addresses, download the Python program and execute it on the command line with our files as input.

$ python file_a.txt file_b.html

Voila, it prints all found email addresses. Let's also remove the duplicates and sort the email addresses alphabetically.

$ python file_a.txt file_b.html | sort | uniq

Looks good! Now let's save the results to a file.

$ python file_a.txt file_b.html | sort | uniq > emails.txt

P.S. The above commands for sorting and deduplicating are specific to shells on a UNIX-based machine (e.g. Linux or Mac). If you're using Windows, you can use PowerShell. For example

python file_a.txt file_b.html | sort -unique
#!/usr/bin/env python
# Extracts email addresses from one or more plain text files.
# Notes:
# - Does not save to file (pipe the output to a file if you want it saved).
# - Does not check for duplicates (which can easily be done in the terminal).
# (c) 2013 Dennis Ideler <>
from optparse import OptionParser
import os.path
import re
regex = re.compile(("([a-z0-9!#$%&'*+\/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+\/=?^_`"
def file_to_str(filename):
"""Returns the contents of filename as a string."""
with open(filename) as f:
return # Case is lowered to prevent regex mismatches.
def get_emails(s):
"""Returns an iterator of matched emails found in string s."""
# Removing lines that start with '//' because the regular expression
# mistakenly matches patterns like '' as '//'.
return (email[0] for email in re.findall(regex, s) if not email[0].startswith('//'))
if __name__ == '__main__':
parser = OptionParser(usage="Usage: python %prog [FILE]...")
# No options added yet. Add them here if you ever need them.
options, args = parser.parse_args()
if not args:
for arg in args:
if os.path.isfile(arg):
for email in get_emails(file_to_str(arg)):
print('"{}" is not a file.'.format(arg))
Copy link


Copy link

sp3234 commented Aug 31, 2015

Can I extract fields From and their correspodning To with this code

Copy link

work nice, thanks :)

Copy link

you saved a lot of stupid work

Copy link

This is genius, thanks!

Copy link

Holly-L commented Jun 16, 2016

Great work here. Thank you! Just wondering why you didn't use \w (the metacharacter for word characters) in the regex instead of [a-z0-9]?

Copy link

so useful... thanks!

Copy link

I can't really make out where it pulls the txt file in? what are the variables that define which file is being converted to a string? terminal just returns Usage: python [FILE]...

Copy link

baxeico commented Mar 7, 2017

Save in a file, then chmod +x Then use like this to remove duplicate email addresses:

./ file_to_parse.txt | sort | uniq

Copy link

if the email starts with a ' like '', it does not trim it.

Copy link

Copy link

Hello Dideler,

I am looking for Email Data Extractor

From Selected Folder
From Selected dates between
The data information i need between selected From & To emails only

Kindly share the script for same, so i can use it in Google spread sheet to track those mails data for my daily use

Copy link

Thank You

Copy link

wrystal commented Oct 6, 2017

There are small amount of wrong matching cases,such as:
online at
A kind of stupid way is to adjust it is:

pattern = re.compile("([a-z0-9!#$%&*+\/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+\/=?^_`"

Copy link

samayia commented Nov 23, 2017

Emails within placeholders should be remove.

e.g. placeholder=""

This will generally give dummy and wanted value.

Copy link

Thanks a bunch, you just saved me 30 minutes! Merci beaucoup!

Copy link


Copy link

so useful... thanks bro :)

Copy link

Can I extract fields From and their correspodning To with this code

Copy link

Can I extract fields From and their corresponding To with this code

Copy link

Is there a way search for the actual email addresses and have them obfuscated? I am sharing a file with someone externally so would like to create another file that obfuscated the email address. Any help would be appreciated?

Copy link

I would like to know why you used \sdot\s ?

Copy link

Great work here. Thank you! Just wondering why you didn't use \w (the metacharacter for word characters) in the regex instead of [a-z0-9]?

'\w' includes underscore as well

Copy link

Great work 👍

Copy link

gajus commented May 7, 2020

I have written a module that handles scenarios such as obfuscated emails, emails with tags, unicode characters, etc.

Copy link

I keep getting this error though... anyone knows why?

File "", line 29, in file_to_str return # Case is lowered to prevent regex mismatches. File "C:\Users\bryan\AppData\Local\Programs\Python\Python38-32\lib\encodings\", line 23, in decode return codecs.charmap_decode(input,self.errors,decoding_table)[0]
UnicodeDecodeError: 'charmap' codec can't decode byte 0x90 in position 164972: character maps to

Copy link

dideler commented Sep 4, 2020

@bryanseah234 the file you're reading has an unexpected encoding. Try setting the appropriate encoding for the file you're reading.

E.g. Change open(filename) to open(file, encoding="utf8") or open(file, encoding="latin-1").

Copy link

paseman commented Jan 4, 2021


Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment