/Scraping

Web scraping tools and techniques for data extraction.

Primary LanguagePythonMIT LicenseMIT

Python Web Scraping Projects

This repository contains a Python project focused on web scraping.

Getting Started

This project uses the following libraries:

  • requests: Used to fetch data from websites. (Install with pip install requests)
  • BeautifulSoup: Used to parse HTML content. (Install with pip install beautifulsoup4)

Optional Libraries

  • Selenium: A powerful tool for automating web browsers. (Install with pip install selenium)

Prerequisites

  • Python 3.x

How to Run

  1. Clone this repository:
git clone https://github.com/A-A7med-i/Scraping.git
  1. Install the required libraries:
pip install -r requirements.txt
  1. (Optional) Edit configuration files (if any) based on your scraping needs.

Project Overview

This section provides a brief overview of your scraping project. Describe the target website, the data you intend to extract, and the purpose of scraping. Explain the overall structure of your code.

Scraping Script (script.py)

This section explains your main scraping script (script.py or similar). Briefly describe:

  • Fetching Data: How the script fetches the webpage content using requests.
  • Parsing Data: How the script utilizes BeautifulSoup to navigate through the HTML structure and extract the desired data.
  • Output: How the script stores the scraped data (e.g., CSV, database).

(Optional: Include code snippets for key functionalities if relevant.)

Contributing

If you plan to allow contributions to your project, outline your contribution guidelines. Provide information on how others can contribute to your project.

LICENSE

MIT License