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import pandas as pd from selenium import webdriver from [login to view URL] import By from [login to view URL] import WebDriverWait from [login to view URL] import expected_conditions as EC import requests from PIL import Image from io import BytesIO import base64 # Read the URLs and scrape quantities from the CSV file url_data = pd.read_csv("[login to view URL]") PATH = "C:\Program Files (x86)\[login to view URL]" driver = [login to view URL](PATH) # Initialize an empty list to store all scraped data all_data = [] # Loop through each row in the CSV file for index, row in [login to view URL](): url = row['URL'] scrape_quantity = int(row['ScrapeQuantity']) [login to view URL](url) try: content = WebDriverWait(driver, 10).until( EC.presence_of_element_located(([login to view URL], "lay-lft")) ) suppliers = content.find_elements_by_class_name("lst_cl") for _ in range(scrape_quantity): scraped_data = {} for supplier in suppliers: scraped_data['Company'] = supplier.find_element_by_class_name("gcnm").text scraped_data['Address'] = supplier.find_element_by_class_name("clg").text scraped_data['Precise_add'] = supplier.find_element_by_class_name("cty-t").get_attribute("innerText") scraped_data['Phone_no'] = supplier.find_element_by_css_selector(".bo").get_attribute("innerText") item = [item.find_element_by_class_name("gpnm").text for item in supplier.find_elements_by_class_name("cp5")] scraped_data['Items'] = item # Find the image element and download the image img_element = supplier.find_element_by_css_selector(".img") img_url = img_element.get_attribute("src") img_data = [login to view URL](img_url).content # Encode the image data as base64 img_base64 = [login to view URL](img_data).decode('utf-8') scraped_data['ImageBase64'] = img_base64 [login to view URL](scraped_data) finally: [login to view URL]() # Create a Pandas DataFrame from the list of scraped data supplier_det = [login to view URL](all_data) # Export the DataFrame to a CSV file supplier_det.to_csv("[login to view URL]", index=False)