Web-Scrap Assignment

Overview

This repository contains a web scraping assignment. The project is designed to extract data from Internshala, process the extracted information, and present it in a structured format. The project leverages Python for web scraping and data processing.

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.7 or higher installed on your local machine.
• Basic understanding of Python and web scraping concepts.
• Required Python libraries: requests, beautifulsoup4, pandas.

Installation

1. Clone the repository:

   git clone https://github.com/Adi7015YT/Web-Scrap_Assignment.git

2. Navigate to the project directory:

   cd Web-Scrap_Assignment

3. Install the required libraries:

   pip install -r requirements.txt

Usage

1. Open the provided Google Colab notebook for interactive execution: Web Scraping Assignment Colab

2. Follow the steps in the Colab notebook to run the web scraping scripts.

Contributions are welcome! To contribute, follow these steps:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature/your-feature-name

3. Make your changes and commit them:

   git commit -m 'Add some feature'

4. Push to the branch:

   git push origin feature/your-feature-name

5. Create a pull request.

License

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

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