Extracting email addresses using regular expressions in Python
Last Updated :
29 Dec, 2020
Let suppose a situation in which you have to read some specific data like phone numbers, email addresses, dates, a collection of words etc. How can you do this in a very efficient manner?The Best way to do this by Regular Expression.
Let take an example in which we have to find out only email from the given input by Regular Expression.
Examples:
Input : Hello [email protected] Rohit [email protected]
Output : [email protected] [email protected]
Here we have only selected email from the given input string.
Input : My 2 favourite numbers are 7 and 10
Output :2 7 10
Here we have selected only digits.
Regular Expression–
Regular expression is a sequence of character(s) mainly used to find and replace patterns in a string or file.
So we can say that the task of searching and extracting is so common that Python has a very powerful library called regular expressions that handles many of these tasks quite elegantly.
| Symbol |
Usage |
| $ |
Matches the end of the line
|
| \s |
Matches whitespace |
| \S |
Matches any non-whitespace character
|
| * |
Repeats a character zero or more times |
| \S |
Matches any non-whitespace character
|
| *? |
Repeats a character zero or more times (non-greedy) |
| + |
Repeats a character one or more times |
| +? |
Repeats a character one or more times (non-greedy) |
| [aeiou] |
Matches a single character in the listed set |
| [^XYZ] |
Matches a single character not in the listed set |
| [a-z0-9] |
The set of characters can include a range
|
| ( |
Indicates where string extraction is to start |
| ) |
Indicates where string extraction is to end |
import re
s = 'My 2 favourite numbers are 7 and 10'
lst = re.findall('[0-9]+', s)
print(lst)
|
import re
s =
lst = re.findall('\S+@\S+', s)
print(lst)
|
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