Here are some question-style titles based on your article: General: * Can Python Be Used for Web Scraping? A Comprehensive Guide * How to Extract Data from Websites Using Python: A Step-by-Step Tuto

Web Scraping in Python

Web scraping involves extracting specific data from websites. With its versatile libraries, Python offers an effective solution for this task.

Can You Scrape Web Content with Python?

Yes, Python is extensively used for web scraping thanks to its comprehensive libraries like urllib2 and BeautifulSoup.

Which Modules are Commonly Used for Web Scraping in Python?

• urllib2: Handles HTTP requests and web page content retrieval.
• BeautifulSoup: Parses HTML effortlessly, allowing you to navigate and extract data from web pages.

Available Tutorials:

Numerous tutorials are available online to guide you through the process of web scraping with Python, including the following:

• [Web Scraping with Python and BeautifulSoup](https://www.digitalocean.com/community/tutorials/how-to-scrape-web-pages-with-beautiful-soup-and-python-3)
• [Web Scraping Tutorial Using Python and BeautifulSoup](https://www.datacamp.com/courses/web-scraping-with-python-and-beautiful-soup)

Example Code:

The following code snippet demonstrates how to scrape the sunrise/sunset times from a website using Python's urllib2 and BeautifulSoup libraries:

<code class="python">import urllib2
from BeautifulSoup import BeautifulSoup

soup = BeautifulSoup(urllib2.urlopen('http://example.com').read())

for row in soup('table', {'class': 'spad'})[0].tbody('tr'):
    tds = row('td')
    print(tds[0].string, tds[1].string) # prints date and sunrise</code>

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