Quant Research Scraper

Overview

Quant Research Scraper is a tool designed to scrape quantitative research data from various online sources. This tool aims to assist researchers and analysts in gathering and processing data efficiently.

Features

• Scrape data from multiple sources
• Support for various data formats
• Easy integration with data analysis tools
• Configurable scraping parameters

Installation

To install the Quant Research Scraper, clone this repository and install the necessary dependencies:

git clone https://github.com/yourusername/quant-research-scraper.git
cd quant-research-scraper
pip install -r requirements.txt
stall -r requirements.txt

Usage

To use the scraper, run the following command:

python app/app.py

Docker

docker-compose up --build

Configuration

The application uses a configuration file located at app/config/urls.json to manage URLs and authentication details.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request with your changes.

License

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