$ -weight: 500;">pip -weight: 500;">install beautifulsoup4
-weight: 500;">pip -weight: 500;">install beautifulsoup4
-weight: 500;">pip -weight: 500;">install beautifulsoup4
import requests
from bs4 import BeautifulSoup # Send a request to the website
url = "http://books.toscrape.com/"
response = requests.get(url) # Parse the HTML content of the page
soup = BeautifulSoup(response.content, 'html.parser') # Find all the book items on the page
book_items = soup.find_all('article', class_='product_pod') # Extract the name and price of each book
books = []
for book in book_items: name = book.find('h3').text price = book.find('p', class_='price_color').text books.append({ 'name': name, 'price': price }) # Print the extracted data
for book in books: print(book)
import requests
from bs4 import BeautifulSoup # Send a request to the website
url = "http://books.toscrape.com/"
response = requests.get(url) # Parse the HTML content of the page
soup = BeautifulSoup(response.content, 'html.parser') # Find all the book items on the page
book_items = soup.find_all('article', class_='product_pod') # Extract the name and price of each book
books = []
for book in book_items: name = book.find('h3').text price = book.find('p', class_='price_color').text books.append({ 'name': name, 'price': price }) # Print the extracted data
for book in books: print(book)
import requests
from bs4 import BeautifulSoup # Send a request to the website
url = "http://books.toscrape.com/"
response = requests.get(url) # Parse the HTML content of the page
soup = BeautifulSoup(response.content, 'html.parser') # Find all the book items on the page
book_items = soup.find_all('article', class_='product_pod') # Extract the name and price of each book
books = []
for book in book_items: name = book.find('h3').text price = book.find('p', class_='price_color').text books.append({ 'name': name, 'price': price }) # Print the extracted data
for book in books: print(book)
import csv # Open the CSV file for writing
with open('books.csv', 'w', newline='') as csvfile: # Create a CSV writer writer = csv.writer(csvfile) # Write the header row writer.writerow(['Name', 'Price']) # Write each book to the CSV file for book in books: writer.writerow([book['name'], book['price']])
import csv # Open the CSV file for writing
with open('books.csv', 'w', newline='') as csvfile: # Create a CSV writer writer = csv.writer(csvfile) # Write the header row writer.writerow(['Name', 'Price']) # Write each book to the CSV file for book in books: writer.writerow([book['name'], book['price']])
import csv # Open the CSV file for writing
with open('books.csv', 'w', newline='') as csvfile: # Create a CSV writer writer = csv.writer(csvfile) # Write the header row writer.writerow(['Name', 'Price']) # Write each book to the CSV file for book in books: writer.writerow([book['name'], book['price']]) - Beautiful Soup: A Python library used for parsing HTML and XML documents.
- Scrapy: A Python framework used for building web scrapers.
- Selenium: A browser automation tool used for scraping dynamic websites.
