Agorios is a Python-based data science project focused on scraping data from popular marketplaces and performing analysis on the collected data.
I am starting this project for fun! Agorios aims to leverage data collection techniques to gather valuable insights from these marketplaces, enabling users to make informed decisions based on market trends, pricing dynamics, and other key factors.
(Well that's the plan - We will reach it commit by commit :P)
Search the product, get a sentiment analysis on it!
Agorios will provide a web interface where the user can search for products. Select the product and if there are comments, have a sentiment analysis of the reviews!
Follow these instructions to get Agorios up and running on your local machine.
- Python 3.x
- pip
- Clone the repository:
git clone https://github.com/your-username/agorios.git
cd agorios
- Install Dependencies
pip install -r requirements.txt
Contributions are welcome! If you'd like to contribute to Agorios, please follow these guidelines:
- Fork the repository.
- Create a new branch (git checkout -b feature/my-feature).
- Commit your changes (git commit -am 'Add new feature').
- Push to the branch (git push origin feature/my-feature).
- Create a new Pull Request.