This project scrapes information from a specific webpage and extracts data from the table. The extracted information includes post date, quest number, category code, bid/request name, and bid closing date.

• About
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Dependencies
• Contributing
• License

This Python project utilizes Selenium and BeautifulSoup to scrape data from a webpage and extract relevant information from the table. The extracted data can be used for various purposes, such as analysis or tracking upcoming bids.

• Python installed
• Git installed (optional)

1. Clone the repository:

   git clone https://github.com/vatsrounak/PrimeNumTech_ScrapingProject

2. Change to the project directory:

   cd Scrapping_PrimeNumTech

3. Create a virtual environment:

   python3 -m venv .venv

4. Activate the virtual environment:

   • On Windows:

     .venv\Scripts\activate

   • On macOS/Linux:

     source .venv/bin/activate

5. Install dependencies:

   pip install -r requirements.txt

Run the following command to execute the scraper script:

python scrape.py

The script will print the extracted information from the table.

• beautifulsoup4==4.10.0
• pandas==1.3.3
• selenium==3.141.0

If you'd like to contribute to the project, follow these steps:

1. Fork the repository.
2. Create a new branch: git checkout -b feature-name
3. Make your changes and commit them: git commit -m 'Description of changes'
4. Push to the branch: git push origin feature-name
5. Submit a pull request.

This project is licensed under the MIT License.