Email-Spammer is a Python script that facilitates the mass sending of emails to multiple recipients from an Excel file. The script utilizes the PyQt library to create a user-friendly interface where users can input their email login credentials, compose the message, paste the Excel email database, and send emails.
The main window provides an intuitive interface for users to input their email login credentials, compose the email message, and paste the Excel email database.
Above is an example of the email format that can be sent using the Email-Spammer script. It supports HTML formatting, attachments, and customizable subject lines.
Note: The spam percentage may be high due to Gmail's security settings. For better results, consider using corporate Gmail domains to prevent issues.
Important: Use this script only for beneficial intentions and adhere to all legal and ethical guidelines. Ensure that you have the necessary permissions to send emails to the recipients listed in your Excel file.
- Easy Setup: Simple installation process and user-friendly interface.
- Excel Integration: Supports Excel files for easy management of recipient email addresses.
- Customizable Email: Allows users to compose personalized messages with HTML formatting and attachments.
- Error Handling: Provides error feedback for invalid email addresses or authentication issues.
- Cross-Platform: Works on multiple operating systems, including Windows, macOS, and Linux.
- Clone this repository:
git clone https://github.com/romchhh/Email-Spammer.git - Install dependencies:
pip install -r requirements.txt - Run the script:
python main.py - Follow the instructions: Input your email credentials, compose the message, paste the Excel email database, and click send.
Contributions to Email-Spammer are welcome! If you have suggestions, feature requests, or bug reports, please feel free to open an issue or submit a pull request. Contributions that improve usability, add new features, or enhance security are highly appreciated.
This project is licensed under the MIT License.
Enjoy and use responsibly! If you find this project helpful, consider giving it a star on GitHub.