__author__ = 'DarkWeb' # Here, we are importing the auxiliary functions to clean or convert data from MarketPlaces.Utilities.utilities import * # Here, we are importing BeautifulSoup to search through the HTML tree from bs4 import BeautifulSoup import re #parses description pages, so takes html pages of description pages using soup object, and parses it for info it needs #stores info it needs in different lists, these lists are returned after being organized #@param: soup object looking at html page of description page #return: 'row' that contains a variety of lists that each hold info on the description page def tormarket_description_parser(soup): # Fields to be parsed vendor = "-1" # 0 *Vendor_Name success = "-1" # 1 Vendor_Successful_Transactions rating_vendor = "-1" # 2 Vendor_Rating name = "-1" # 3 *Product_Name describe = "-1" # 4 Product_Description CVE = "-1" # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures) MS = "-1" # 6 Product_MS_Classification (Microsoft Security) category = "-1" # 7 Product_Category views = "-1" # 8 Product_Number_Of_Views reviews = "-1" # 9 Product_Number_Of_Reviews rating_item = "-1" # 10 Product_Rating addDate = "-1" # 11 Product_AddedDate BTC = "-1" # 12 Product_BTC_SellingPrice USD = "-1" # 13 Product_USD_SellingPrice EURO = "-1" # 14 Product_EURO_SellingPrice sold = "-1" # 15 Product_QuantitySold left = "-1" # 16 Product_QuantityLeft shipFrom = "-1" # 17 Product_ShippedFrom shipTo = "-1" # 18 Product_ShippedTo image = "-1" # 19 Product_Image vendor_image = "-1" # 20 Vendor_Image #finding the name of the product name_of_product = soup.find("h1", {"class": "product_title entry-title"}).find("a").text name = cleanString(name_of_product.strip()) #finding the description of the product description_of_product = soup.find("div", {"class": "woocommerce-product-details__short-description"}).text describe = cleanString(description_of_product.strip()) #finding the name of the vendor name_of_vendor = soup.find("div", {"class": "wcfmmp_sold_by_store"}) if name_of_vendor is not None: name_of_vendor = name_of_vendor.find("a").text vendor = cleanString(name_of_vendor.strip()) else: vendor = "TorMarket" #finding the price of the item price = soup.find("p", {"class": "price"}).find("bdi").text price_cleaned = price[1:] USD = price_cleaned.strip() category = soup.find('span', {"class": "posted_in"}).text category = category.split(':')[-1] category = category.replace(',', '/') category = cleanString(category.strip()) #everything else gets a -1 because they are not found # Populating the final variable (this should be a list with all fields scraped) row = (vendor, rating_vendor, success, name, describe, CVE, MS, category, views, reviews, rating_item, addDate, BTC, USD, EURO, sold, left, shipFrom, shipTo, image, vendor_image) # Sending the results return row #parses listing pages, so takes html pages of listing pages using soup object, and parses it for info it needs #stores info it needs in different lists, these lists are returned after being organized #@param: soup object looking at html page of listing page #return: 'row' that contains a variety of lists that each hold info on the listing page def tormarket_listing_parser(soup): # Fields to be parsed nm = 0 # *Total_Products (Should be Integer) mktName = "TorMarket" # 0 *Marketplace_Name vendor = [] # 1 *Vendor y rating_vendor = [] # 2 Vendor_Rating success = [] # 3 Vendor_Successful_Transactions name = [] # 4 *Product_Name y CVE = [] # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures) dont worry about this MS = [] # 6 Product_MS_Classification (Microsoft Security) dont worry about this category = [] # 7 Product_Category y describe = [] # 8 Product_Description views = [] # 9 Product_Number_Of_Views reviews = [] # 10 Product_Number_Of_Reviews rating_item = [] # 11 Product_Rating addDate = [] # 12 Product_AddDate BTC = [] # 13 Product_BTC_SellingPrice USD = [] # 14 Product_USD_SellingPrice y EURO = [] # 15 Product_EURO_SellingPrice sold = [] # 16 Product_QuantitySold qLeft = [] # 17 Product_QuantityLeft shipFrom = [] # 18 Product_ShippedFrom shipTo = [] # 19 Product_ShippedTo image = [] # 20 Product_Image image_vendor = [] # 21 Vendor_Image href = [] # 22 Product_Links products_list = soup.find('ul', {"class": "products columns-3 tablet-columns-2 mobile-columns-1"}).find_all('li') nm = len(products_list) for product in products_list: # Finding the name of the product name_of_product = product.find("h2", {"class": "woocommerce-loop-product__title"}).find("a").text name_of_product_cleaned = cleanString(name_of_product.strip()) # print(name_of_product_cleaned) name.append(name_of_product_cleaned) #finding the URL try: url = product.find("div", {"class": "product-loop-content text-center"}).find("a").get("href") # print(url) href.append(url) except AttributeError as e: print("I can't find the link") raise e #finding the rating of the product rating_score_of_product = product.find("div", {"class": "product-loop-content text-center"}).find("div").find("span").text rating_item.append(cleanString(rating_score_of_product.strip())) # print("done") #finding the rating of the vendors rating_score_of_vendor = product.find("div", {"class": "wcfmmp-store-rating"}) if rating_score_of_vendor is not None: rating_score_of_vendor = rating_score_of_vendor.find("strong").text rating_vendor.append(cleanString(rating_score_of_vendor.strip())) else: rating_vendor.append('-1') # print("done") #finding the cost in USD cost = product.find("span", {"class": "woocommerce-Price-amount amount"}).text USD.append(cost) # print("done") #finding the name of the vendor vendor_name = product.find("div", {"class": "wcfmmp_sold_by_wrapper"}) if vendor_name is not None: vendor_name = vendor_name.find("a").text vendor.append(cleanString(vendor_name.strip())) else: vendor.append(mktName) # print("done") #everything else appends a -1 success.append("-1") CVE.append("-1") MS.append("-1") category.append("-1") describe.append("-1") views.append("-1") reviews.append("-1") addDate.append("-1") BTC.append("-1") EURO.append("-1") sold.append("-1") qLeft.append("-1") shipFrom.append("-1") shipTo.append("-1") # print("Done! moving onto the next product!") # print(len(shipTo)) # Populate the final variable (this should be a list with all fields scraped) return organizeProducts(mktName, nm, vendor, rating_vendor, success, name, CVE, MS, category, describe, views, reviews, rating_item, addDate, BTC, USD, EURO, sold, qLeft, shipFrom, shipTo, href, image, image_vendor) #called by the crawler to get description links on a listing page #@param: beautifulsoup object that is using the correct html page (listing page) #return: list of description links from a listing page def tormarket_links_parser(soup): # Returning all links that should be visited by the Crawler href = [] listing = soup.findAll('div', {"class": "product-loop-content text-center"}) for a in listing: bae = a.find('h2', {"class": "woocommerce-loop-product__title"}).find('a', href=True) link = bae['href'] href.append(link) return href