__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 #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 darkmatter_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 vendor = "-1" # 0 *Vendor_Name success = "-1" # 1 Vendor_Successful_Transactions rating_vendor = "-1" # 2 Vendor_Rating # product name try: name = soup.find('head').find('title').text name = cleanString(name.strip()) except: print("name") #product description try: temp = soup.find('pre', {'class', 'description'}).text temp = temp.replace('\n', ' ') describe = cleanString(temp.strip()) except: print("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 # 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) # 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 darkmatter_listing_parser(soup): # Fields to be parsed nm = 0 # Total_Products (Should be Integer) mktName = "DarkMatter" # 0 Marketplace_Name name = [] # 1 Product_Name CVE = [] # 2 Product_CVE_Classification (Common Vulnerabilities and Exposures) MS = [] # 3 Product_MS_Classification (Microsoft Security) category = [] # 4 Product_Category describe = [] # 5 Product_Description escrow = [] # 6 Vendor_Warranty views = [] # 7 Product_Number_Of_Views reviews = [] # 8 Product_Number_Of_Reviews addDate = [] # 9 Product_AddDate lastSeen = [] # 10 Product_LastViewDate BTC = [] # 11 Product_BTC_SellingPrice USD = [] # 12 Product_USD_SellingPrice EURO = [] # 13 Product_EURO_SellingPrice sold = [] # 14 Product_QuantitySold qLeft =[] # 15 Product_QuantityLeft shipFrom = [] # 16 Product_ShippedFrom shipTo = [] # 17 Product_ShippedTo vendor = [] # 18 Vendor rating = [] # 19 Vendor_Rating success = [] # 20 Vendor_Successful_Transactions href = [] # 23 Product_Links (Urls) listing = soup.findAll('div', {"class": "card"}) # Populating the Number of Products nm = len(listing) for a in listing: bae = a.findAll('a', href=True) # Adding the url to the list of urls link = bae[0].get('href') link = cleanLink(link) href.append(link) # Finding the Product product = bae[1].find('p').text product = product.replace('\n', ' ') product = product.replace(",", "") product = product.replace("...", "") product = product.strip() name.append(product) bae = a.find('div', {'class': "media-content"}).find('div').find_all('div') if len(bae) >= 5: # Finding Prices price = bae[0].text ud = price.replace(" USD", " ") # u = ud.replace("$","") u = ud.replace(",", "") u = u.strip() USD.append(u) # bc = (prc[1]).strip(' BTC') # BTC.append(bc) # Finding the Vendor vendor_name = bae[1].find('a').text vendor_name = vendor_name.replace(",", "") vendor_name = vendor_name.strip() vendor.append(vendor_name) # Finding the Category cat = bae[2].find('small').text cat = cat.replace("Category: ", "") cat = cat.replace(",", "") cat = cat.strip() category.append(cat) # Finding Number Sold and Quantity Left num = bae[3].text num = num.replace("Sold: ", "") num = num.strip() sold.append(num) quant = bae[4].find('small').text quant = quant.replace("In stock: ", "") quant = quant.strip() qLeft.append(quant) # Finding Successful Transactions freq = bae[1].text freq = freq.replace(vendor_name, "") freq = re.sub(r'Vendor Level \d+', "", freq) freq = freq.replace("(", "") freq = freq.replace(")", "") freq = freq.strip() success.append(freq) # Searching for CVE and MS categories cve = a.findAll(text=re.compile('CVE-\d{4}-\d{4}')) if not cve: cveValue="-1" else: cee = " " for idx in cve: cee += (idx) cee += " " cee = cee.replace(',', ' ') cee = cee.replace('\n', '') cveValue=cee CVE.append(cveValue) ms = a.findAll(text=re.compile('MS\d{2}-\d{3}')) if not ms: MSValue="-1" else: me = " " for im in ms: me += (im) me += " " me = me.replace(',', ' ') me = me.replace('\n', '') MSValue=me MS.append(MSValue) # Populate the final variable (this should be a list with all fields scraped) return organizeProducts(mktName, nm, name, CVE, MS, category, describe, escrow, views, reviews, addDate, lastSeen, BTC, USD, EURO, qLeft, shipFrom, shipTo, vendor, rating, success, sold, 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 darkmatter_links_parser(soup): # Returning all links that should be visited by the Crawler href = [] listing = soup.find('div', {"class": "content"}).findAll('td', {"class": "lefted", 'colspan': '3'}) for a in listing: bae = a.find('a', href=True) link = bae['href'] href.append(link) return href