Python Web Scraping Project: Quotes from Quotes to Scrape

This project demonstrates how to use Python to scrape data from the website Quotes to Scrape. The code fetches quotes, authors, and tags from the site using the requests and BeautifulSoup libraries, organizes the data, and saves it to a CSV file. For additional insights and practical use cases, please take a look at this article on Web Scraping with Python.

Table of Contents

• Features
• Technologies
• Setup
• Usage
• License

Features

• Extracts quotes, authors, and tags from each quote on the page.
• Saves the scraped data into a CSV file named quotes_data.csv.
• Uses pandas to organize and save data efficiently.

Technologies

• Python 3.x
• requests: to make HTTP requests.
• BeautifulSoup: to parse HTML.
• pandas: to manage and save data.

Setup

1. Clone this repository:

   git clone https://github.com/your-username/python-web-scraping-quotes.git
   cd python-web-scraping-quotes

2. Install required packages:

   pip install requests beautifulsoup4 pandas

Usage

1. Run the script

   python script.py

2. If successful, the script will print Page retrieved successfully and display the data in the terminal. It will also save the data to a CSV file named quotes_data.csv.