__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 nemesis_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 # find vendor name vendor = soup.find('div', {'class': 'd-flex align-items-center mt-n1'}).find('a').text vendor = cleanString(vendor).strip() # find product name name = soup.find('div', {'class': 'd-flex w-100 mt-4'}).find('a').text name = name.replace(r'[^a-zA-Z0-9]', '').strip() # find product description describe = soup.find('div', {'class': 'card card-bordered rounded-1 my-6'})\ .find('div', {'class': 'fs-5 text-gray-800'}).text if describe is not None: describe = cleanString(describe).strip() else: describe = soup.find('div', {'class': 'card card-bordered rounded-1 my-6'}) \ .find('div', {'class': 'fs-5 text-gray-800 mt-5'}).text if describe is not None: describe = cleanString(describe).strip() else: describe = "-1" # find product category temp = soup.find('div', {'class': 'fs-7 py-1'}).findAll('a') category = temp[1].text if category is not None: category = category.strip() else: category='-1' print('inside category') # all in class temp = soup.find('div', {'class': 'ms-4'}).findAll('div') # number of reviews reviews = temp[1].text if reviews is not None: reviews = reviews.replace("Reviews: ","").strip() else: reviews='-1' print('in rev') # item rating out of 5 rating_item = temp[0].text if rating_item is None: rating_item = rating_item.replace("Rating: ","").replace(" out of 5","").strip() else: rating_item='-1' # amount of item sold success = temp[2].text if success is not None: success = success.replace('Sales: ', '').strip() else: success='-1' print('success') # amount temp = soup.find('div', {'class': 'text-gray-800 fs-1 fw-bolder mt-6'}).text if 'USD' in temp: USD = temp.replace('USD', '').strip() elif 'EUR' in temp: EURO = temp.replace('EUR', '').strip() # Finding Vendor Image vendor_image = soup.find('div', {"class": 'col'}).find('img') if vendor_image is not None: vendor_image = vendor_image.get('src') vendor_image = vendor_image.split('base64,')[-1] else: vendor_image = "-1" # Finding Product Image image = soup.find('div', {"class": 'container p-0'}).find('img') if image is not None: image = image.get('src') image = image.split('base64,')[-1] else: image = "-1" # 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, 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 nemesis_listing_parser(soup): # Fields to be parsed nm = 0 # *Total_Products (Should be Integer) mktName = "NemesisMarket" # 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 cat = soup.find('span', {"class": "text-gray-700 fw-bold fs-2"}).text cat = cleanString(cat).strip() listing = soup.find('div', {"class": 'row g-5 g-xl-5'}).findAll('div', {"class": 'col-sm-6 col-md-4 col-lg-3 col-xxl-2'}) # Populating the Number of Products nm = len(listing) for a in listing: category.append(cat) # Adding the url to the list of urls link = a.find('a').get('href') link = cleanLink(link) href.append(link) # Finding the Product name product = a.find('div', {"class": 'pt-3 pb-4 px-4'}).find('a').text.strip() # product = product.replace(r'[^a-zA-Z0-9]', '').strip() name.append(product) # Finding Product Image product_image = a.find('img') if product_image is not None: product_image = product_image.get('src') product_image = product_image.split('base64,')[-1] image.append(product_image) else: image.append("-1") # Finding Prices price = a.find('div', {"class": "fs-4 text-gray-800 fw-bolder mt-3"}).text price = price.strip() if 'USD' in price: price = price.replace('USD', '') price = price.strip() USD.append(price) EURO.append("-1") elif 'EUR' in price: price = price.replace('EUR', '') price = price.strip() EURO.append(price) USD.append("-1") else: USD.append("-1") EURO.append('-1') # Finding Item Rating temp = a.find('div', {"class": "d-flex flex-column"}).findAll('span', {"class": "badge badge-sm badge-light-dark text-gray-800 rounded-1"}) rating = temp[0].text.strip() if rating is not None: rating_item.append(rating) else: rating_item.append('-1') print('rating') # find number of reviews rev = temp[1].text.strip() if rev is not None: reviews.append(rev) else: reviews.append('-1') print('reviews') # sales sales = temp[2].text.strip() if sales is not None: success.append(sales) else: success.append('-1') print('success') # Finding the Vendor vendor_name = a.find('div', {"class": "d-flex flex-column"}).find('a').text vendor_name = vendor_name.replace(",", "") vendor_name = vendor_name.strip() vendor.append(vendor_name) # vendor image vendor_image = a.find('div', {"class": 'd-flex align-items-center'}).find('a').find('img') if vendor_image is not None: vendor_image = vendor_image.get('src') vendor_image = vendor_image.split('base64,')[-1] image_vendor.append(vendor_image) else: image_vendor.append("-1") # item description description = a.find('div', {"class": 'fs-5 text-gray-800 mt-2'}).text if description is not None: description = description.replace('\n', ' ') describe.append(description) else: describe.append('-1') print('describe') # 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) val="-1" sold.append(val) views.append(val) addDate.append(val) BTC.append(val) qLeft.append(val) shipFrom.append(val) shipTo.append(val) rating_vendor.append(val) # 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 nemesis_links_parser(soup): # Returning all links that should be visited by the Crawler href = [] listing = soup.findAll('div', {"class": "col-sm-6 col-md-4 col-lg-3 col-xxl-2"}) for a in listing: bae = a.findAll('a', href=True) # Adding the url to the list of urls link = bae[0].get('href') href.append(link) return href