AI-Powered Web Search Agent

An intelligent web search agent that uses GPT-4 and browser automation to find detailed information online. This project specifically helps users find information about products, prices, and market research.

🚀 Features

• Automated web searching and data extraction
• Natural language task processing
• Detailed result summaries
• Browser automation for real-time data gathering
• Support for complex search queries
• GIF generation of search history

🛠️ Installation

1. Clone the repository:

git clone
cd ai-web-search-agent

2. Create and activate a virtual environment:

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

3. Install dependencies:

pip install -r requirements.txt

4. Create a .env file in the root directory and add your OpenAI API key:

OPENAI_API_KEY=your_api_key_here

📝 Usage

Run the main script with your search query:

from langchain_openai import ChatOpenAI
from browser_use import Agent
import asyncio
import os
from dotenv import load_dotenv

load_dotenv()

async def main():
    try:
        agent = Agent(
            task="Your search query here",
            llm=ChatOpenAI(
                model="gpt-4-1106-preview",
                openai_api_key=os.getenv("OPENAI_API_KEY")
            ),
        )
        result = await agent.run()
        print(result)
    except Exception as e:
        print(f"Error occurred: {str(e)}")

asyncio.run(main())

🔑 Environment Variables

The following environment variables are required:

• OPENAI_API_KEY: Your OpenAI API key

📋 Example Queries

The agent can handle various types of queries, such as:

• Market research for products
• Price comparisons
• Product availability
• Detailed product information
• Market trends and analysis

Example:

task="""find the best cars in dubai which
        i can buy which is under 1 million and have a
        good market to sell it as well"""

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📜 License

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

⚠️ Disclaimer

This tool uses browser automation and AI. Please ensure you comply with the terms of service of any websites you interact with and use responsibly.

🙏 Acknowledgments

• OpenAI for GPT-4
• Langchain for the ChatOpenAI implementation
• Browser-use library for web automation

📞 Support

For support, please open an issue in the GitHub repository.