Web Content Scraping with Python
Web scraping, the process of extracting data from online sources, is a valuable technique for gathering information without manual intervention. In this question, we'll explore how to scrape web content using Python.
Python Modules for Web Scraping
Python offers several modules to facilitate web scraping. Two prominent ones are:
Tutorial for Web Content Scraping
To illustrate web scraping with Python, consider the example of extracting sunrise/sunset times from a website:
<code class="python">import urllib2 from BeautifulSoup import BeautifulSoup # Open the web page containing the sunrise/sunset times web_page = urllib2.urlopen('http://example.com') # Parse the page using BeautifulSoup soup = BeautifulSoup(web_page.read()) # Find the table containing the times table = soup.find('table', {'class': 'spad'}) # Loop through the table rows for row in table.find('tbody').find_all('tr'): # Extract the date and times tds = row.find_all('td') date = tds[0].string sunrise = tds[1].string # Print the results print(date, sunrise)</code>
This script demonstrates how to parse the table containing the sunrise/sunset times, extracting the relevant data using Python modules and appropriate HTML selectors.
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