Improve README.md: add project overview, features, installation, tech stack, folder structure, contributing, and license

README.md

@@ -1,21 +1,125 @@
-# JobMiner
-JobMiner – A Python-based web scraping toolkit for extracting and organizing job listings from multiple websites into structured data.
-
-# Structure
-```
-scrapers/
-│── demo-company/
-│   │── demo_company.py
-│   │── demo_company_readme.md
-│   │── requirements.txt
-│── another-company/
-│   │── another_company.py
-│   │── another_company_readme.md
-│   │── requirements.txt
-```
+# JobMiner 🚀
+
+A Python-based web scraping toolkit for extracting and organizing job listings from multiple websites into structured data.
+
+---
+
+## 🧩 Table of Contents
+
+- [About](#about)  
+- [Features](#features)  
+- [Tech Stack](#tech-stack)  
+- [Getting Started](#getting-started)  
+  - [Prerequisites](#prerequisites)  
+  - [Installation](#installation)  
+  - [Usage](#usage)  
+- [Folder Structure](#folder-structure)  
+- [Contributing](#contributing)  
+- [License](#license)  
+- [Acknowledgments](#acknowledgments)
+
+---
+
+## 🧐 About
+
+JobMiner is a lightweight toolkit to scrape job postings from multiple websites and convert them into structured formats (CSV / JSON / database). It helps automate the process of collecting job data for analytics, alerts, or pipelines.
+
+This tool is ideal for:
+- Developers / data scientists who want job market data  
+- Automation / scraping learners  
+- Anyone wanting a modular base to add new scrapers  
 
 ---
 
-## Contributors ✨
+## ✨ Features
+
+- Scrape job listings from multiple sources  
+- Normalize data (title, location, company, salary, description, etc.)  
+- Export to JSON / CSV / database  
+- Modular scraper design — easy to add new website scrapers  
+- Easy CLI / script interface  
+
+---
+
+## 🛠 Tech Stack
+
+- **Python 3.x**  
+- Web scraping libraries: `requests`, `beautifulsoup4`, maybe `selenium`  
+- JSON / CSV handling  
+- (Optional) database support (SQLite / MongoDB / etc.)  
+- (Optional) Logging, error handling utilities  
+
+---
+
+## ⚙️ Getting Started
+
+### Prerequisites
+
+- Python 3.7 or newer  
+- pip (or pipenv / poetry)  
+- Internet connection (for scraping)
+
+### Installation
+
+```bash
+# Clone the repo
+git clone https://github.com/beingvirus/JobMiner.git
+cd JobMiner
+
+# Create virtual environment (optional but recommended)
+python3 -m venv venv
+source venv/bin/activate   # on Windows: venv\Scripts\activate
+
+# Install dependencies
+pip install -r requirements.txt
+
+### FOLDER STRUCTURE
+JobMiner/
+├─ scrapers/
+│  ├─ demo-company/
+│  │  ├ demo_company.py
+│  │  ├ demo_company_readme.md
+│  │  └ requirements.txt
+│  ├─ another-company/
+│  │  ├ another_company.py
+│  │  └ another_company_readme.md
+│  └─ … (new scrapers)
+├─ .github/
+│  └─ … (actions, workflows, etc.)
+├─ CODE_OF_CONDUCT.md
+├─ CONTRIBUTING.md
+├─ LICENSE
+└─ README.md
+
+🤝 Contributing
+
+We warmly welcome contributions — whether they’re bug fixes, new scrapers, documentation, or test coverage.
+
+Here’s how to get started:
+
+Fork the repository
+
+Create a new branch: git checkout -b feature/your-feature
+
+Make your changes
+
+Ensure consistency with existing style, write tests if needed
+
+Open a Pull Request describing what you’ve done
+
+You may mention hacktoberfest if the issue is labeled for it
+
+Please read the CONTRIBUTING.md
+ and follow the code of conduct.
+
+📄 License
+
+This project is licensed under the MIT License.
+
+🙏 Acknowledgments
+
+Thanks to all contributors and maintainers
+
+Inspired by many open-source scraping / data tooling projects
 
-![Contributors Hall of Fame](https://github.aryansinghnegi.dev/?repo=beingvirus/JobMiner)
+Community & Hacktoberfest participants