__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 # This is the method to parse the Description Pages (one page to each Product in the Listing Pages) def royal_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 # Finding Product Name name = soup.find('h5', {'class': "bold"}).text name = name.replace('\n', ' ') name = name.replace(",", "") name = name.strip() bae = soup.find('div', {'class': "card-header bg-light"}) # Finding Vendor vendor = bae.find('a').text vendor = vendor.replace(",", "") vendor = vendor.strip() # # Finding Vendor Rating # full_stars = bae[2].find_all('i', {'class': "fas fa-star"}) # half_star = bae[2].find('i', {'class': "fas fa-star-half-alt"}) # rating = len(full_stars) + (0.5 if half_star is not None else 0) # Finding Successful Transactions success = bae.find('b').text success = success.replace("(", "") success = success.replace(")", "") success = success.strip() form = soup.find_all('form', {'method': "POST"}) bae = form[1].find_all('div', {'class': "row"}) # Finding Quantity Sold div = bae[2].find_all('div', {'class': "col"}) temp = div[1].text temp = temp.split() if len(temp) > 0: sold = temp[0].strip() sold = re.sub(r'[^0-9.]', "", sold) if sold == "": sold = -1 else: sold = -1 # Finding Quantity Left div = bae[3].find_all('div', {'class': "col"}) temp = div[1].text temp = temp.split() if len(temp) > 0: left = temp[0].strip() left = re.sub(r'[^0-9.]', "", left) if left == "": left = -1 else: left = -1 # Finding Prices temp = bae[-2].find('strong').text temp = temp.replace("Price:", "") temp = temp.split() USD = temp[0].strip() USD = re.sub(r'[^0-9.]', "", USD) # shipping_info = bae[4].text # if "Digital" not in shipping_info: # shipping_info = shipping_info.split(" ") # # # Finding Shipment Information (Origin) # shipFrom = shipping_info[0].strip() # # # Finding Shipment Information (Destination) # shipTo = shipping_info[1].strip() # Finding the Product description describe = soup.find('xmp').text describe = describe.replace("\n", " ") describe = describe.replace("\r", " ") describe = describe.strip() # Searching for CVE and MS categories cve = soup.findAll(text=re.compile('CVE-\d{4}-\d{4}')) if cve: CVE = " " for idx in cve: CVE += (idx) CVE += " " CVE = CVE.replace(',', ' ') CVE = CVE.replace('\n', '') ms = soup.findAll(text=re.compile('MS\d{2}-\d{3}')) if ms: MS = " " for im in ms: MS += (im) MS += " " MS = MS.replace(',', ' ') MS = MS.replace('\n', '') # 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 # This is the method to parse the Listing Pages def royal_listing_parser(soup): # Fields to be parsed nm = 0 # *Total_Products (Should be Integer) mktName = "Royal" # 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 # Finding category of listing page cat = soup.find('li', {'class': "breadcrumb-item active"}).text cat = cat.strip() listing = soup.findAll('div', {'class': "card search border shadow-sm mb-3"}) # Populating the Number of Products nm = len(listing) for a in listing: bae = a.findAll('a', href=True) # Adding the category category.append(cat) # Adding the url to the list of urls link = bae[1].get('href') link = cleanLink(link) href.append(link) # Finding the Vendor vendor_name = bae[0].text vendor_name = vendor_name.replace(",", "") vendor_name = vendor_name.strip() vendor.append(vendor_name) # Finding the Product product = bae[2].get('title') product = product.replace('\n', ' ') product = product.replace(",", "") product = product.strip() name.append(product) # 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, vendor, rating_vendor, success, name, CVE, MS, category, describe, views, reviews, rating_item, addDate, BTC, USD, EURO, sold, qLeft, shipFrom, shipTo, href) def royal_links_parser(soup): # Returning all links that should be visited by the Crawler href = [] listing = soup.findAll('div', {"class": "card search border shadow-sm mb-3"}) for div in listing: a = div.find_all('a') link = a[1].get('href') href.append(link) return href