Intro: Web scraping, the process of extracting data from websites, is a valuable technique for data analysis and automation. Python offers a range of modules that empower developers to scrape web content effectively.
Web Scraping with urllib2 and BeautifulSoup
For your specific goal of retrieving daily sunrise/sunset times from a website, the combination of urllib2 and the BeautifulSoup library is a suitable solution. These modules work in tandem to fetch and parse web content, allowing you to access the relevant information.
Code Walkthrough
The given Python code provides a working example of how to use this approach:
<code class="python">import urllib2 from BeautifulSoup import BeautifulSoup # Fetch the web page response = urllib2.urlopen('http://example.com') # Parse the HTML content soup = BeautifulSoup(response.read()) # Identify the desired table and rows table = soup('table', {'class': 'spad'})[0] rows = table.tbody('tr') # Extract and print the date, sunrise, and sunset information for row in rows: tds = row('td') print(tds[0].string, tds[1].string)</code>
In this code:
Additional Resources
For further guidance, you can refer to the following tutorials:
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