This Python automation script, built for CodeAlpha Internship Task 3, extracts all email addresses from a .txt file using regex and saves them into a new file. It demonstrates the use of re for pattern matching and file handling to automate repetitive tasks efficiently.
CodeAlpha Internship – Task 3
This project is developed as part of the CodeAlpha Internship (Task 3).
The script automates the task of scanning through a text file, extracting all valid email addresses using regular expressions, and saving them into a new output file.
This is a practical task automation example, showcasing how Python can simplify repetitive work like data cleaning and information extraction.
The main goal of this task is to:
- Accept a text file with random content (names, emails, text, etc.).
- Extract all valid email addresses automatically.
- Save the results into a clean
.txtfile.
- Uses regex (re) to detect valid email formats.
- Reads any
.txtfile containing text data. - Saves extracted emails into
emails.txt. - Shows the total number of emails found.
- Works entirely offline.
- Python 3
- Regex (
remodule) - File Handling (read/write)
- Save the script as
email_extractor.py. - Create an
input.txtfile and add text with email addresses inside it.
Example:
Contact us at [support@example.com](mailto:support@example.com) or [sales@example.org](mailto:sales@example.org).
You can also reach out to [admin123@test.com](mailto:admin123@test.com).
- Run the program in terminal:
python email_extractor.py- Check the output file
emails.txtfor extracted addresses.
Extracted 3 email(s) and saved to emails.txt
Output file (emails.txt):
support@example.com
sales@example.org
admin123@test.com
- Using regular expressions to find patterns.
- Handling file input and output in Python.
- Automating repetitive tasks with small scripts.
- Writing reusable and simple automation utilities.
Author: Srinidhi Internship: CodeAlpha Internship Task: Task 3 – Task Automation with Python Scripts (Email Extractor)