__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 name = "-1" # 0 Product_Name describe = "-1" # 1 Product_Description lastSeen = "-1" # 2 Product_LastViewDate rules = "-1" # 3 NOT USED ... CVE = "-1" # 4 Product_CVE_Classification (Common Vulnerabilities and Exposures) MS = "-1" # 5 Product_MS_Classification (Microsoft Security) review = "-1" # 6 Product_Number_Of_Reviews category = "-1" # 7 Product_Category shipFrom = "-1" # 8 Product_ShippedFrom shipTo = "-1" # 9 Product_ShippedTo left = "-1" # 10 Product_QuantityLeft escrow = "-1" # 11 Vendor_Warranty terms = "-1" # 12 Vendor_TermsAndConditions vendor = "-1" # 13 Vendor_Name sold = "-1" # 14 Product_QuantitySold addDate = "-1" # 15 Product_AddedDate available = "-1" # 16 NOT USED ... endDate = "-1" # 17 NOT USED ... BTC = "-1" # 18 Product_BTC_SellingPrice USD = "-1" # 19 Product_USD_SellingPrice rating = "-1" # 20 Vendor_Rating success = "-1" # 21 Vendor_Successful_Transactions EURO = "-1" # 22 Product_EURO_SellingPrice #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 replies inquires_about_product = soup.find("div", {"class": "woocommerce-Tabs-panel woocommerce-Tabs-panel--wcfm_enquiry_tab panel entry-content wc-tab"}).find("p").text if inquires_about_product == "There are no inquiries yet.": review = 0 else: review = -1 #fix later pls #finding the terms and conditions terms_and_conditions = soup.find("div", {"class": "woocommerce-Tabs-panel woocommerce-Tabs-panel--wcfm_enquiry_tab panel entry-content wc-tab"}).find("p").text term = cleanString(terms_and_conditions) #finding the name of the vendor name_of_vendor = soup.find("div", {"class": "wcfmmp_sold_by_store"}).find("a").text vendor = cleanString(name_of_vendor) #finding the price of the item price = soup.find("p", {"class": "price"}).find("bdi").text price_cleaned = price[1:] USD = price_cleaned.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 = (name, describe, lastSeen, rules, CVE, MS, review, category, shipFrom, shipTo, left, escrow, terms, vendor, sold, addDate, available, endDate, BTC, USD, rating, success, EURO) # 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) MS = [] # 6 Product_MS_Classification (Microsoft Security) 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 href = [] # 20 Product_Links products_list = soup.find_all('li') nm = 0 for product in products_list: try: # 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"}).find("strong").text rating_vendor.append(cleanString(rating_score_of_vendor.strip())) 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"}).find("a").text vendor.append(cleanString(vendor_name.strip())) 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)) nm += 1 except AttributeError as e: print("I'm somewhere I don't belong. I'm going to leave") continue # Populate the final variable (this should be a list with all fields scraped) return organizeProducts( marketplace = "TorMarket", nm = nm, vendor = vendor, rating_vendor = rating_vendor, success_vendor = success, nombre = name, CVE = CVE, MS = MS, category = category, describe = describe, views = views, reviews = reviews, rating_item = rating_item, addDate = addDate, BTC = BTC, USD = USD, EURO = EURO, sold = sold, qLeft = qLeft, shipFrom = shipFrom, shipTo = shipTo, href = href ) #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