AI Privacy Information Fetcher

The AI Privacy Information Fetcher is a Python script designed to dynamically retrieve missing AI-related information from the privacy policy pages of specified domains. This tool is particularly useful for gathering compliance and transparency details from various AI services.

Features

• Scrapes privacy policy pages to find data retention periods, training data usage, and review policies.
• Supports dynamic URL fetching to gather relevant information.
• Handles HTTP requests and responses with error management.
• Outputs updated information in a specified CSV format.

Requirements

To run this tool, ensure you have the following installed:

• Python 3.x: Download Python
• Required Python libraries:
  • pandas
  • requests
  • beautifulsoup4

You can install the required libraries using pip:

pip install pandas requests beautifulsoup4

Directory Structure

Before you start, ensure your project folder looks like this:

ai_privacy_info_fetcher/
│
├── input_file.csv              # Place your input CSV file here
│
├── output_file.csv             # The output file will be saved here
│
└── src/                         # Source code folder
    └── fetch_ai_privacy_info.py # Main script for fetching information

Step 1: Prepare Your Input File

Supported File Types Place your input CSV file in the ai_privacy_info_fetcher directory. The tool expects the following columns:

reference_url: URLs of the privacy policy pages Other columns for storing fetched information, such as data retention and training data usage.

File Names

You can use any valid file name for your input CSV, but it's helpful to keep it descriptive.

Step 2: Running the Tool

Once your input file is in place, you can run the script:

1. Open a terminal or command prompt.
2. Navigate to the src directory.
3. Execute the following command:

   python fetch_ai_privacy_info.py

   After running the script, you will find the updated output file in the main directory, containing the fetched information based on the specified URLs.

Error Handling

The tool has basic error handling mechanisms to manage potential issues, such as network errors or inaccessible URLs. Any errors encountered during processing will be logged to the console for user review.

Contributing

Contributions are welcome! If you have suggestions for improvements or bug fixes, feel free to create an issue or submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any inquiries or support, please reach out to akhilharold97@gmail.com