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Web scraping with Python involves fetching web pages using libraries like `requests` and extracting data with `BeautifulSoup`. It enables data collection from websites for analysis or integration, while respecting legal and ethical guidelines.

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Web Scraping with Python

Welcome to the Web Scraping with Python repository! This project is dedicated to demonstrating how to extract data from websites using Python. Web scraping is an essential tool for gathering information from the web for data analysis, automation, and various other applications. In this repository, you'll find a collection of scripts and tutorials that cover different aspects of web scraping, ranging from basic to advanced techniques.

Key Features

  • Basic Web Scraping: Learn how to extract data from static web pages using libraries like requests and BeautifulSoup.
  • Advanced Scraping: Dive into scraping dynamic content with Selenium and handling complex scenarios like pagination, form submissions, and AJAX.
  • Data Cleaning & Storage: Explore methods for cleaning and storing scraped data, including saving to CSV files, databases, and more.
  • Best Practices: Understand ethical scraping practices, including respecting robots.txt files, rate limiting, and avoiding detection.

Getting Started

To get started with the scripts in this repository, you'll need Python installed on your machine. You can install the required libraries by running:

pip install -r requirements.txt

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Web scraping with Python involves fetching web pages using libraries like `requests` and extracting data with `BeautifulSoup`. It enables data collection from websites for analysis or integration, while respecting legal and ethical guidelines.

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