Web Scraping Using Python

Web scraping is a technique to automatically access and extract large amounts of information from a website, which can save a huge amount of time and effort.

Table of Contents

• Introduction
• Repository Contents
• Getting Started
• Usage
• Contributing

Introduction

Web scraping is a valuable skill for extracting data from websites, and this repository provides an example of how to perform web scraping using Python. The code included in this project focuses on scraping restaurant data from the Swiggy website in Pune and Bangalore.

Repository Contents

This repository contains the following:

• Python script(s) for web scraping.
• Sample data or output files (if applicable).
• README.md (this file) for project documentation.

Getting Started

To use this web scraping project, follow these steps:

1. Clone the repository to your local machine:

2. Install the required Python libraries (if not already installed): You can get those from Requirements.txt

Contributing

Contributions are welcome! If you'd like to contribute to this project or report issues, please follow these guidelines:

• Fork the repository.
• Create a new branch for your feature or bug fix.
• Make your changes and commit them with clear, descriptive commit messages.
• Push your branch to your forked repository.
• Open a pull request, explaining the changes you made.