🌿 Grow Data - Cannabis Strain Database

Comprehensive Cannabis Strain Dataset | 2,793+ Strains | Web Scraping & Data Processing

🚀 Project Overview

Grow Data is a comprehensive cannabis strain database containing detailed information on 2,793 unique cannabis strains scraped from Wikileaf.com. This project demonstrates advanced web scraping techniques, data cleaning, and processing methodologies to create a structured dataset for cannabis research and application development.

🎯 Key Features

• 2,793+ Cannabis Strains with complete profiles
• Comprehensive Data Points including THC/CBD levels, strain types, effects, and descriptions
• Clean, Structured Data in multiple formats (CSV, JSON, JavaScript)
• Web Scraping Pipeline using Python, Pandas, and Beautiful Soup
• Data Processing Notebooks for cleaning and transformation
• Ready-to-Use Datasets for web applications and research

📊 Dataset Statistics

Metric	Value
Total Strains	2,793
Data Points per Strain	8+ fields
File Formats	CSV, JSON, JavaScript
Data Source	Wikileaf.com
Processing Method	Python + Beautiful Soup

🗂️ Data Structure

Each strain record contains:

{
  index: "0",
  strain: "Green Crack",
  strain_url: "https://www.wikileaf.com/strain/green-crack/",
  logo: "https://assets.wikileaf.com/assets/strains/strain/...",
  info: "<p>Detailed strain information...</p>",
  more_info: "<p>Additional strain details...</p>",
  THC: "<p>THC level classification</p>",
  CBD: "<p>CBD level classification</p>",
  Sativa: "<p>Sativa percentage</p>",
  Indica: "<p>Indica percentage</p>"
}

📁 Project Structure

grow_data/
├── Resources/
│   ├── csv/                    # Processed CSV datasets
│   │   ├── ALL_data.csv       # Complete strain database
│   │   ├── strain_data.csv    # Strain names and URLs
│   │   ├── logo_data.csv      # Strain logos and images
│   │   └── more_info_data.csv # Extended strain information
│   ├── js/                    # JavaScript data and notebooks
│   │   ├── data.js           # JavaScript-formatted dataset
│   │   ├── ALL_data.ipynb    # Main data processing notebook
│   │   ├── TableBuild_*.ipynb # Specialized processing notebooks
│   │   └── about_strain.ipynb # Strain analysis notebook
│   └── pics/                  # Project assets
│       ├── header_pic.png    # Project header image
│       └── gif.gif          # Demo animation
├── LICENSE                    # MIT License
└── README.md                 # This file

🛠️ Technologies Used

• Python 3.7+ - Core programming language
• Pandas - Data manipulation and analysis
• Beautiful Soup - Web scraping and HTML parsing
• Jupyter Notebook - Interactive development environment
• CSV/JSON - Data storage formats
• JavaScript - Client-side data integration

🚀 Getting Started

Prerequisites

pip install pandas beautifulsoup4 requests jupyter

Quick Start

1. Clone the repository

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

2. Explore the data

   import pandas as pd
   
   # Load the complete dataset
   df = pd.read_csv('Resources/csv/ALL_data.csv')
   print(f"Total strains: {len(df)}")
   print(df.head())

3. Use in web applications

   <script src="Resources/js/data.js"></script>
   <script>
     console.log(`Loaded ${strainData.length} strains`);
   </script>

📈 Data Processing Pipeline

1. Web Scraping

• Target: Wikileaf.com strain database
• Method: Beautiful Soup + Requests
• Scope: 2,793+ individual strain pages

2. Data Cleaning

• HTML Processing: Extract clean text from HTML content
• Data Validation: Ensure data integrity and consistency
• Error Handling: Manage missing data and scraping failures

3. Data Transformation

• Format Conversion: CSV → JSON → JavaScript
• Structure Optimization: Organize for different use cases
• Performance: Optimize for web application loading

🎯 Use Cases

🔬 Research Applications

• Cannabis strain analysis and classification
• THC/CBD distribution studies
• Strain effect correlation research
• Market trend analysis

💻 Web Development

• Cannabis strain search engines
• Grow planning applications
• Educational platforms
• E-commerce integration

📊 Data Science

• Machine learning model training
• Natural language processing on strain descriptions
• Recommendation system development
• Market analysis and insights

📋 Data Fields

Field	Description	Type
index	Unique strain identifier	Integer
strain	Strain name	String
strain_url	Wikileaf strain page URL	URL
logo	Strain image URL	URL
info	Primary strain description	HTML/Text
more_info	Additional strain details	HTML/Text
THC	THC level classification	String
CBD	CBD level classification	String
Sativa	Sativa percentage indicator	String
Indica	Indica percentage indicator	String

🔍 Sample Data

index,strain,THC,CBD,Sativa,Indica
0,Green Crack,Normal,Very Low,Normal,Very Low
1,Blue Dream,Very High,Very Low,Very High,Very Low
2,Sour Diesel,Very High,Very Low,Very High,Very Low

🤝 Contributing

We welcome contributions to improve the dataset and processing pipeline!

How to Contribute

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

Areas for Contribution

• 🔄 Data Updates - Refresh strain information
• 🧹 Data Cleaning - Improve processing algorithms
• 📊 Analysis Tools - Add data analysis notebooks
• 🌐 Integration - Create API endpoints
• 📚 Documentation - Enhance guides and examples

⚠️ Limitations & Considerations

• Data Currency: Scraped data reflects Wikileaf content at time of collection
• Manual Intervention: Some strain names required manual correction due to URL inconsistencies
• Legal Compliance: Ensure compliance with local cannabis laws when using this data
• Attribution: Data sourced from Wikileaf.com - respect their terms of service

🔗 Related Projects

This dataset powers several applications in the cannabis cultivation ecosystem:

• GrowApp Cannabis Guide - Comprehensive grow planning platform
• Strain Search Tools - Advanced strain discovery interfaces
• Nutrient Calculators - Feeding schedule generators
• Plant Diagnostics - Problem identification systems

📄 License

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

License Summary

• ✅ Commercial use allowed
• ✅ Modification allowed
• ✅ Distribution allowed
• ✅ Private use allowed
• ❗ License and copyright notice required

🙏 Acknowledgments

• Wikileaf.com - Primary data source for strain information
• Cannabis Community - For strain knowledge and cultivation wisdom
• Open Source Contributors - For tools and libraries that made this possible
• Python Community - For Beautiful Soup, Pandas, and Jupyter ecosystems

📞 Contact & Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Email: shannon@loyal9.app

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Built with 🌿 for the cannabis cultivation community

Empowering growers with data-driven insights