Download Data from Nasdaq Data Link API with Python

Tool to download data from the Nasdaq Data Link API, implemented primarily in Jupyter Notebooks and Python scripts.

Features

• Simple interface to read API keys and fetch data from Nasdaq Data Link.
• Example usage with financial and freight rail datasets.
• Modular codebase separating initialization, data fetching, and main execution.

Tech Stack

• Python 3.9+
• Jupyter Notebook for exploratory data analysis and demonstration
• nasdaqdatalink Python package for API interaction

Getting Started

Prerequisites

• Python 3.9 or higher
• Install dependencies:

pip install nasdaqdatalink

Setup

1. Obtain an API key from Nasdaq Data Link.
2. Save the key in a file named .key in the project root.

Running the project

• Run the main script to fetch data for a sample ticker:

python main.py

• Alternatively, explore the Jupyter Notebooks for domain-specific analyses:
  • Capital-Markets.ipynb
  • FreightRailEasyRead.ipynb
  • Rail-Freight-Energy-Usage.ipynb

Project Structure

├── Capital-Markets.ipynb          # Notebook for capital markets data analysis
├── FreightRailEasyRead.ipynb      # Notebook focused on freight rail data
├── Rail-Freight-Energy-Usage.ipynb # Notebook analyzing energy usage in rail freight
├── Untitled.ipynb                 # Example code for API key reading and data fetching
├── Untitled1.ipynb                # Additional exploratory notebook
├── data.py                       # Function to fetch data given a link and ticker
├── initialize.py                 # Function to read API key into link
├── main.py                       # Main execution script demonstrating usage

Future Work / Roadmap

• Enhance error handling and input validation for API calls.
• Add support for more Nasdaq Data Link datasets and tickers.
• Develop a command-line interface for flexible data queries.
• Implement caching or local storage of fetched data for efficiency.
• Expand documentation and usage examples.

For questions or contributions, please open an issue or pull request on the GitHub repository.

Repository URL: https://github.com/justin-napolitano/data-link