Following code scrapes comments and customer country from each product page for example this product from aliexpress website
Code:
from selenium import webdriver
from selenium.webdriver.common.by import By
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import pandas as pd
url = '
https://www.aliexpress.com/item/1005003801507855.html?spm=a2g0o.productlist.0.0.1e951bc72xISfE&algo_pvid=6d3ed61e-f378-43d0-a429-5f6cddf3d6ad&algo_exp_id=6d3ed61e-f378-43d0-a429-5f6cddf3d6ad-8&pdp_ext_f=%7B%22sku_id%22%3A%2212000027213624098%22%7D&pdp_pi=-1%3B40.81%3B-1%3B-1%40salePrice%3BMAD%3Bsearch-mainSearch'
driver = webdriver.Chrome(ChromeDriverManager().install())
driver.maximize_window()
driver.get(url)
wait = WebDriverWait(driver, 10)
driver.execute_script("arguments[0].scrollIntoView();", wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, '.tab-content'))))
driver.get(wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, '#product-evaluation'))).get_attribute('src'))
data=[]
while True:
for e in driver.find_elements(By.CSS_SELECTOR, 'div.feedback-item'):
try:
country = e.find_element(By.CSS_SELECTOR, '.user-country > b').text
except:
country = None
try:
comment = e.find_element(By.CSS_SELECTOR, '.buyer-feedback span').text
except:
comment = None
data.append({
'country':country,
'comment':comment
})
try:
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, '#complex-pager a.ui-pagination-next'))).click()
except:
break
pd.DataFrame(data).to_csv('filename.csv',index=False)
I need to have a code that scrape url of images available in each comment of customers, but I really don't know how to get it.
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