🦁 London Zoo Scraper

📄 Overview

The London Zoo Scraper is a Python-based project designed to scrape animal data from the London Zoo website, compiling essential details into a structured CSV file. This information is then further converted into Quizlet-compatible flashcard format for easy import, making it a helpful tool for studying animal facts, learning scientific names, and understanding species conservation statuses.

🛠️ Technologies Used

• Web Scraping: Python, Requests, BeautifulSoup
• Data Processing: Pandas
• Data Conversion: CSV, custom Quizlet formatting

📂 Project Structure

• scraper.py: Main script for scraping animal data from the London Zoo website and saving it as a CSV file.
• converter.py: Utility to convert the scraped animal data from CSV format to Quizlet-compatible flashcards.
• london_zoo_animals.csv: Output file containing detailed animal data in CSV format.
• quizlet_format.txt: Converted flashcard data, ready for Quizlet import.
• requirements.txt: Dependencies for running the project.
• venv/: Virtual environment for isolated dependency management.

⭐ Features

• Comprehensive Animal Scraping: Gathers details on animals such as their scientific names, physical appearance, diet, habitat, IUCN status, and unique facts.
• CSV Export: Exports the scraped data in CSV format for easy data management.
• Quizlet Flashcard Conversion: Transforms animal data into a format suitable for Quizlet, enabling flashcard study for all recorded animals.
• Modular Design: The scraper and converter scripts are designed to function independently, allowing you to run only the necessary components.

📋 Data Collected

The scraper extracts various fields for each animal:

• Name and Scientific Name
• Physical Appearance
• Diet and Threats
• IUCN Status (conservation status)
• Order, Family, Region, and Habitat
• Up to 5 interesting Facts per animal

🔄 Conversion to Quizlet

The converter.py script processes the CSV data into a Quizlet-compatible format. Each animal’s data is converted into a flashcard format with the animal name followed by specific attributes, like scientific name, habitat, and facts.

🌱 Setup and Installation

📋 Requirements

• Python 3.8+: Required for running the scripts
• Virtual Environment: Recommended for dependency management

🚀 Getting Started

1. Clone the repository:

   git clone https://github.com/yourusername/london-zoo-scraper.git
   cd london-zoo-scraper

2. Set up a virtual environment:

   python -m venv venv

3. Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate

   • On macOS/Linux:

     source venv/bin/activate

4. Install the required packages:

   pip install -r requirements.txt

5. Run the scraper:

   python scraper.py

   The scraped data will be saved in london_zoo_animals.csv.

6. Convert to Quizlet flashcard format (optional):

   python converter.py

   This will create quizlet_format.txt, ready for Quizlet import.

📝 Contributing

Contributions are welcome! Feel free to fork the repository and submit pull requests for new features, improvements, or bug fixes.

📜 License

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