LinkedIn Content Post Agent

A Python-based tool for automating LinkedIn content posting and analyzing post performance.

Features

• Automated LinkedIn content posting
• Post performance analysis
• Engagement metrics tracking
• Content type and topic performance analysis
• Timing optimization recommendations
• A/B testing capabilities

Installation

1. Clone the repository:

git clone https://github.com/yourusername/LinkedIn_ContentPost_Agent.git
cd LinkedIn_ContentPost_Agent

1. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows, use: venv\Scripts\activate

1. Install dependencies:

pip install -r requirements.txt

1. Create a .env file in the project root with your LinkedIn credentials:

LINKEDIN_USERNAME=your_email@example.com
LINKEDIN_PASSWORD=your_password

Usage

1. Post content to LinkedIn:

python post_to_linkedin.py

1. Analyze post performance:

python run.py

Project Structure

LinkedIn_ContentPost_Agent/
├── src/
│   ├── feedback/
│   │   └── analyzer.py
│   └── ...
├── tests/
│   ├── unit/
│   │   └── test_feedback_analyzer.py
│   └── ...
├── post_to_linkedin.py
├── run.py
├── requirements.txt
└── README.md

Testing

Run the test suite:

pytest

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Security

• Never commit your .env file or expose your LinkedIn credentials
• Use environment variables for sensitive information
• Keep your dependencies up to date

Disclaimer

This tool is for educational purposes only. Please comply with LinkedIn's terms of service and API usage guidelines.