📧 Email Extractor

Overview

Email Extractor is a simple Python automation script that scans a text file, extracts all email addresses, removes duplicate entries, and generates a detailed report.

This project was developed as part of the CodeAlpha Python Programming Internship to demonstrate the use of file handling, regular expressions, and basic data analysis in Python.

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Features

• Extracts email addresses from a text file
• Removes duplicate email addresses
• Saves extracted emails to a separate file
• Generates a report with statistics
• Displays the total number of emails found
• Provides domain-wise email distribution

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Technologies Used

• Python 3
• Regular Expressions (re)
• Collections Module (Counter)
• File Handling

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Project Structure

CodeAlpha_EmailExtractor/
│
├── email_extractor.py
├── input.txt
├── extracted_emails.txt
├── report.txt
└── README.md

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How It Works

1. The user provides a text file containing email addresses.
2. The script scans the file using a regular expression.
3. All email addresses are extracted.
4. Duplicate emails are removed automatically.
5. Extracted emails are saved to extracted_emails.txt.
6. A summary report is generated in report.txt.

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Sample Input

Hello,

Contact us at support@gmail.com

For internship queries:
shivansh@gmail.com
team@yahoo.com
hr@outlook.com
support@gmail.com

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Sample Output

extracted_emails.txt

hr@outlook.com
shivansh@gmail.com
support@gmail.com
team@yahoo.com

report.txt

EMAIL EXTRACTION REPORT
==============================

Total Emails Found: 5
Unique Emails: 4

Domain Statistics:
gmail.com : 2
yahoo.com : 1
outlook.com : 1

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Installation & Usage

Step 1: Clone the Repository

git clone https://github.com/your-username/CodeAlpha_EmailExtractor.git

Step 2: Navigate to the Project Folder

cd CodeAlpha_EmailExtractor

Step 3: Run the Script

python email_extractor.py

Step 4: Enter the Input File Name

Example:

input.txt

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Learning Outcomes

Through this project, I learned:

• File handling in Python
• Working with regular expressions
• Data extraction techniques
• Managing duplicate data using sets
• Generating reports automatically
• Basic automation scripting

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Future Improvements

• Support for PDF files
• Support for Word documents
• Export results to CSV format
• Email validation checks
• Graphical User Interface (GUI)

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Author

Shivansh Bajaj

Python Programming Intern – CodeAlpha