In Python web scraping, how do I manage dependencies?

Dependencies, Python, web scraping, libraries, package management
This content discusses how to manage dependencies effectively when performing web scraping in Python, ensuring a smooth and efficient scraping process.

# Example of managing dependencies for web scraping in Python
# Using pip to install required libraries
pip install requests beautifulsoup4 pandas

# Sample Python code for web scraping
import requests
from bs4 import BeautifulSoup
import pandas as pd

# Define the URL to scrape
url = 'https://example.com'
response = requests.get(url)  # Make a request to get the webpage content

# Parse the content using BeautifulSoup
soup = BeautifulSoup(response.text, 'html.parser')

# Extract data (for example, titles of articles)
titles = soup.find_all('h2')
article_titles = [title.get_text() for title in titles]

# Save data using pandas
df = pd.DataFrame(article_titles, columns=['Article Titles'])
df.to_csv('articles.csv', index=False)  # Save to CSV
    

Dependencies Python web scraping libraries package management