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Scrape product name, review count, and availability from Casas Bahia Brazil?
To scrape the product name from Casas Bahia Brazil, use BeautifulSoup in Python to extract the product title. The product name is often contained within a h1 or span tag with a specific class. You can easily grab it after fetching the HTML content using requests and parsing it with BeautifulSoup.
import requests from bs4 import BeautifulSoup url = 'https://www.casasbahia.com.br/produto-page' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') product_name = soup.find('h1', class_='product-name').text print('Product Name:', product_name) -
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Scraping the review count from Casas Bahia Brazil involves finding the element that contains the number of reviews. This is typically found in a span or div tag with a class like review-count. After parsing the page with BeautifulSoup, you can extract the review count for each product.
import requests from bs4 import BeautifulSoup url = 'https://www.casasbahia.com.br/produto-page' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') reviews = soup.find('span', class_='review-count').text print('Review Count:', reviews) -
To scrape availability from Casas Bahia Brazil, you can extract whether a product is in stock or out of stock. This is often found in a div or span tag that specifies availability status. Using BeautifulSoup, locate and extract this information to determine the product’s availability.
import requests from bs4 import BeautifulSoup url = 'https://www.casasbahia.com.br/produto-page' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') availability = soup.find('span', class_='availability-status').text print('Availability:', availability)
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