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Scrape product specifications, images, shipping details -Amazon Brazil -Python
To scrape product specifications from Amazon Brazil, use Selenium to locate the product details section, often formatted as a table or list. Extract the specifications using find_elements and iterate through the rows or items to collect the data.
from selenium import webdriver from selenium.webdriver.common.by import By driver = webdriver.Chrome() driver.get('https://www.amazon.com.br/dp/product-page') # Scrape specifications specs = driver.find_elements(By.CSS_SELECTOR, '.product-specs tr') for spec in specs: key = spec.find_element(By.CSS_SELECTOR, 'th').text value = spec.find_element(By.CSS_SELECTOR, 'td').text print(f"{key}: {value}") driver.quit() -
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To scrape product images, identify the img tags containing image URLs, usually part of a gallery. Use Selenium to extract the src attribute for all available images on the page.
from selenium import webdriver from selenium.webdriver.common.by import By driver = webdriver.Chrome() driver.get('https://www.amazon.com.br/dp/product-page') # Scrape product images images = driver.find_elements(By.CSS_SELECTOR, '.product-image-gallery img') for img in images: print('Image URL:', img.get_attribute('src')) driver.quit() -
To extract shipping details, locate the section that shows delivery options, such as estimated delivery dates or shipping costs. Using Selenium, find and extract the text from the relevant div or span elements.
from selenium import webdriver from selenium.webdriver.common.by import By driver = webdriver.Chrome() driver.get('https://www.amazon.com.br/dp/product-page') # Scrape shipping details shipping = driver.find_element(By.CSS_SELECTOR, '.shipping-info').text print('Shipping Details:', shipping) driver.quit()
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