Data Feed Collect

A Python project for collecting, processing, and analyzing data feeds from various sources.

Overview

This project provides tools and utilities to:

• Collect data from various API endpoints, RSS feeds, and other data sources
• Process and transform raw data into structured formats
• Store data in various backends (files, databases)
• Analyze and visualize collected data

Features

• Modular architecture for easy extension
• Support for multiple data source types
• Configurable data processing pipelines
• Scheduled data collection using task scheduling
• Data validation and error handling
• Caching and rate limiting for API sources

Getting Started

Prerequisites

• Python 3.10 or higher

Installation

This project uses uv for dependency management.

1. Clone the repository:

   git clone https://github.com/karimQuant/data-feed-collect.git
   cd data-feed-collect
   

2. Create a virtual environment and install dependencies:

   uv venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate
   uv pip install -e .
   

Usage

Basic example of collecting data from a source:

from data_feed_collect import DataCollector

# Initialize collector with configuration
collector = DataCollector(config_path="config/sources.yaml")

# Collect data from a specific source
data = collector.collect("source_name")

# Process the collected data
processed_data = collector.process(data)

# Save the processed data
collector.save(processed_data, "output/path")

Project Structure

data-feed-collect/
├── data_feed_collect/       # Main package
│   ├── __init__.py
│   ├── collectors/          # Data collection modules
│   ├── processors/          # Data processing modules
│   ├── storage/             # Data storage modules
│   └── utils/               # Utility functions
├── config/                  # Configuration files
├── tests/                   # Test suite
├── examples/                # Usage examples
└── docs/                    # Documentation

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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