Welcome to the Email Extractor-inator! This wacky Python program will turn your messy pile of emails into a neatly organized CSV file. Just follow these simple steps:
Copy and paste your string of email-filled gibberish into the input_string variable.
Sit back and watch as the Email Extractor-inator uses its trusty regex (regular expression) to pluck out all the emails like a chicken at a county fair.
The extracted emails will be stored in the emails list, ready to be written into a CSV file with a simple command.
BAM! Your emails are now organized and easy to access. No more digging through piles of paper or scrolling through a never-ending inbox.
Are you ready to try out the Email Extractor-inator? Here's the code:
import csv import re # input string containing emails input_string = ''' Paste your string of emails here. ''' # regex to extract emails regex = r'[\w\.-]+@[\w\.-]+' # extract all emails emails = re.findall(regex, input_string) # write extracted emails to a CSV file with open('emails.csv', 'w') as csvfile: writer = csv.writer(csvfile) for email in emails: writer.writerow([email]) Give the Email Extractor-inator a try and see how it can revolutionize your email organization game!
If you don't know what to search for to scrape emails, click here. It will redirect you to a Google search with a pre-filled query. You can modify the query to fit your needs. just ctrl + A and ctrl + c and paste in the input_string variable
Top comments (1)
You made this process look so easy. However, note that when replacing the placeholder text "Paste your string of emails here." in the input_string variable with the actual string of email-filled gibberish that you want to extract and organize into a CSV file.
Once you have replaced the input_string with your actual data, you can run the code in a Python environment to extract the emails using the provided regular expression (regex) and store them in the emails list. The emails will then be written into a CSV file named "emails.csv" using the csv module.
After running the code, you can open the "emails.csv" file to view the neatly organized emails extracted from the input_string. You can further modify the code or CSV file as per your requirements for email organization. Happy email organizing with the Email Extractor Linkedin Navigator Extension!