gdlcli 1.0.0

A fast, lightweight Python package for downloading any file from Google Drive

gdlcli - Google Drive Loader

A fast, lightweight Python package for downloading any file from Google Drive. Simple CLI tool and powerful Python library.

🚀 Features

• ⚡ Fast & Reliable: Optimized downloads with progress tracking and resume capability
• 🎯 Universal: Download any file type from Google Drive (docs, sheets, videos, images, etc.)
• 🔗 Smart URL Parsing: Supports all Google Drive URL formats automatically
• 📦 Multiple Interfaces: Use as CLI tool or import as Python library
• 🛡️ Robust: Built-in retry logic, error handling, and fallback mechanisms
• ⚙️ Configurable: Flexible configuration system with sensible defaults
• 🖥️ Cross-Platform: Works on Windows, macOS, and Linux

📋 Table of Contents

• Installation
• Quick Start
• Command Line Usage
• Python API
• Supported URLs
• Export Formats
• Configuration
• Advanced Usage
• Development
• Contributing
• License

🔧 Installation

From PyPI (Recommended)

pip install gdlcli

From GitHub

pip install git+https://github.com/mfaeezshabbir/gdlcli.git

Development Installation

git clone https://github.com/mfaeezshabbir/gdlcli.git
cd gdlcli
pip install -e .

Requirements

• Python 3.6+
• requests and tqdm (installed automatically)

⚡ Quick Start

Command Line

# Install the package
pip install gdlcli

# Download any file
gdlcli --url "https://drive.google.com/file/d/FILE_ID/view" --output myfile.pdf

# Your specific Google Sheets file
gdlcli --url "https://docs.google.com/spreadsheets/d/ID/export" --format xlsx --output spreadsheet.xlsx

Python API

import gdlcli

# Simple download
gdlcli.download("https://drive.google.com/file/d/FILE_ID/view", "output.pdf")

# Advanced usage
downloader = gdlcli.gdlcli()
success = downloader.download_file(
    "https://drive.google.com/file/d/FILE_ID/view",
    "output.pdf",
    resume=True
)

💻 Command Line Usage

Basic Commands

# Download with auto-detected filename
gdlcli --url "https://drive.google.com/file/d/FILE_ID/view" --auto-name

# Download to specific location
gdlcli --url "https://drive.google.com/file/d/FILE_ID/view" --output ./downloads/myfile.pdf

# Download with progress and resume capability
gdlcli --url "https://drive.google.com/file/d/FILE_ID/view" --output largefile.zip --resume

# Verbose output for debugging
gdlcli --url "https://drive.google.com/file/d/FILE_ID/view" --verbose

Export Google Docs/Sheets/Slides

# Export Google Doc as PDF
gdlcli --url "https://docs.google.com/document/d/DOC_ID/export" --format pdf --output document.pdf

# Export Google Sheet as Excel
gdlcli --url "https://docs.google.com/spreadsheets/d/SHEET_ID/export" --format xlsx --output spreadsheet.xlsx

# Export Google Slides as PowerPoint
gdlcli --url "https://docs.google.com/presentation/d/SLIDES_ID/export" --format pptx --output presentation.pptx

Batch Downloads

# Create a file with URLs (one per line)
echo "https://drive.google.com/file/d/FILE_ID1/view
https://docs.google.com/spreadsheets/d/SHEET_ID/export
https://drive.google.com/file/d/FILE_ID2/view" > urls.txt

# Download all files
gdlcli --batch urls.txt --output-dir ./downloads/

Command Options

gdlcli [OPTIONS]

Required (one of):
  --url URL                Google Drive file URL
  --batch FILE             File containing list of URLs

Options:
  --output, -o PATH        Output file path
  --output-dir PATH        Output directory (default: ./downloads)
  --format FORMAT          Export format (pdf, xlsx, docx, csv, etc.)
  --resume                 Resume interrupted download
  --auto-name              Auto-detect filename from response
  --config FILE            Custom configuration file
  --verbose, -v            Enable verbose logging
  --version                Show version information
  --help                   Show help message

🐍 Python API

Simple Usage

import gdlcli

# Quick download function
success = gdlcli.download(
    url="https://drive.google.com/file/d/FILE_ID/view",
    output="myfile.pdf"
)

Advanced Usage

import gdlcli

# Create downloader instance with custom config
downloader = gdlcli.gdlcli(
    config_file="my_config.json",
    max_retries=5,
    chunk_size=16384
)

# Download with options
success = downloader.download_file(
    url="https://docs.google.com/spreadsheets/d/ID/export",
    output_path="./data/spreadsheet.xlsx",
    format="xlsx",
    resume=True
)

# Batch download
count = downloader.batch_download(
    urls_file="download_list.txt",
    output_dir="./downloads/",
    format="pdf"  # Default format for Google Docs
)

print(f"Downloaded {count} files successfully")

Error Handling

import gdlcli
from gdlcli.downloader import URLError, DownloadError

try:
    downloader = gdlcli.gdlcli()
    downloader.download_file("https://drive.google.com/file/d/INVALID/view", "output.pdf")
except URLError as e:
    print(f"Invalid URL: {e}")
except DownloadError as e:
    print(f"Download failed: {e}")
except Exception as e:
    print(f"Unexpected error: {e}")

🔗 Supported URLs

gdlcli automatically handles all Google Drive URL formats:

• https://drive.google.com/file/d/FILE_ID/view
• https://drive.google.com/file/d/FILE_ID/view?usp=sharing
• https://docs.google.com/document/d/FILE_ID/export
• https://docs.google.com/spreadsheets/d/FILE_ID/export
• https://docs.google.com/presentation/d/FILE_ID/export
• https://drive.google.com/open?id=FILE_ID
• Direct download links with confirmation tokens

📄 Export Formats

Google Docs

• pdf - PDF Document
• docx - Microsoft Word
• odt - OpenDocument Text
• rtf - Rich Text Format
• txt - Plain Text
• html - HTML
• epub - EPUB

Google Sheets

• xlsx - Microsoft Excel
• ods - OpenDocument Spreadsheet
• csv - Comma Separated Values
• tsv - Tab Separated Values
• pdf - PDF Document
• html - HTML

Google Slides

• pptx - Microsoft PowerPoint
• odp - OpenDocument Presentation
• pdf - PDF Document
• txt - Plain Text
• jpeg - JPEG Images (zip)
• png - PNG Images (zip)

⚙️ Configuration

Configuration File

Create ~/.gdlcli/config.json or gdlcli_config.json in your project:

{
    "output_dir": "./downloads",
    "chunk_size": 8192,
    "max_retries": 3,
    "retry_delay": 1.0,
    "timeout": 30,
    "verify_ssl": true,
    "auto_create_dirs": true,
    "log_level": "INFO"
}

Environment Variables

export gdlcli_OUTPUT_DIR="./my_downloads"
export gdlcli_MAX_RETRIES="5"
export gdlcli_LOG_LEVEL="DEBUG"

Python Configuration

import gdlcli

# Override configuration
downloader = gdlcli.gdlcli(
    output_dir="./custom_downloads",
    max_retries=5,
    chunk_size=16384,
    log_level="DEBUG"
)

🔥 Advanced Usage

Real-World Examples

Download Research Papers

# Create list of paper URLs
echo "https://drive.google.com/file/d/PAPER1_ID/view
https://drive.google.com/file/d/PAPER2_ID/view
https://drive.google.com/file/d/PAPER3_ID/view" > papers.txt

# Download all papers
gdlcli --batch papers.txt --output-dir ./research_papers/ --verbose

Export Multiple Spreadsheets

import gdlcli

spreadsheet_urls = [
    "https://docs.google.com/spreadsheets/d/SHEET1_ID/export",
    "https://docs.google.com/spreadsheets/d/SHEET2_ID/export",
    "https://docs.google.com/spreadsheets/d/SHEET3_ID/export"
]

downloader = gdlcli.gdlcli()

for i, url in enumerate(spreadsheet_urls, 1):
    success = downloader.download_file(
        url=url,
        output_path=f"./data/spreadsheet_{i}.xlsx",
        format="xlsx"
    )
    if success:
        print(f"Downloaded spreadsheet {i}")
    else:
        print(f"Failed to download spreadsheet {i}")

Resume Large Downloads

# Start download (might be interrupted)
gdlcli --url "https://drive.google.com/file/d/LARGE_FILE_ID/view" --output large_dataset.zip

# Resume the download later
gdlcli --url "https://drive.google.com/file/d/LARGE_FILE_ID/view" --output large_dataset.zip --resume

Custom Processing Pipeline

import gdlcli
import pandas as pd

def download_and_process_sheet(url, output_path):
    """Download Google Sheet and process with pandas."""
    
    # Download as Excel file
    downloader = gdlcli.gdlcli()
    success = downloader.download_file(
        url=url,
        output_path=output_path,
        format="xlsx"
    )
    
    if success:
        # Process with pandas
        df = pd.read_excel(output_path)
        print(f"Downloaded sheet with {len(df)} rows")
        return df
    else:
        print("Download failed")
        return None

# Process your specific sheet
df = download_and_process_sheet(
    "https://docs.google.com/spreadsheets/d/ID/export",
    "./data/my_spreadsheet.xlsx"
)

🧪 Development

Setup Development Environment

git clone https://github.com/mfaeezshabbir/gdlcli.git
cd gdlcli
pip install -e ".[dev]"

Run Tests

pytest
pytest --cov=gdlcli  # With coverage

Code Formatting

black gdlcli/
flake8 gdlcli/
mypy gdlcli/

Package Structure

gdlcli/
├── gdlcli/                    # Main package
│   ├── __init__.py        # Package initialization
│   ├── cli.py             # Command-line interface
│   ├── downloader.py      # Core download logic
│   ├── utils.py           # Utility functions
│   └── config.py          # Configuration management
├── tests/                 # Test suite
├── examples/              # Usage examples
└── docs/                  # Documentation

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

Development Guidelines

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes
4. Add tests for new functionality
5. Ensure tests pass (pytest)
6. Format code (black gdlcli/)
7. Commit changes (git commit -m 'Add amazing feature')
8. Push to branch (git push origin feature/amazing-feature)
9. Open a Pull Request

📊 Performance

gdlcli is optimized for performance:

• Streaming downloads: Low memory usage even for large files
• Resume capability: No need to restart failed downloads
• Concurrent processing: Efficient batch downloads
• Smart retry logic: Exponential backoff for reliability
• Progress tracking: Real-time speed and ETA information

🛠️ Troubleshooting

Common Issues

"Could not extract file ID from URL"

• Ensure the Google Drive URL is public or properly shared
• Check that the URL format is supported

"Download failed" or "Permission denied"

• Verify the file is publicly accessible
• Check if the file requires special permissions
• Try with --verbose flag for detailed error information

"Module not found" errors

• Install required dependencies: pip install requests tqdm
• For development: pip install -e ".[dev]"

Slow downloads

• Increase chunk size in configuration: "chunk_size": 32768
• Check your internet connection
• Try resuming the download: --resume

Getting Help

• 📝 Open an issue for bug reports
• 💬 Start a discussion for questions
• 📧 Contact: mfaeezshabbir

📜 License

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

🙏 Acknowledgments

• Built with ❤️ by mfaeezshabbir
• Inspired by the need for a reliable, cross-platform Google Drive downloader
• Thanks to the Python community for excellent libraries like requests and tqdm

📈 Changelog

See CHANGELOG.md for detailed release notes.

---

gdlcli - Making Google Drive downloads simple, fast, and reliable. 🚀

Last updated: July 4, 2025