__author__ = 'cern' # 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 blackpyramid_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 Product Name name = soup.find('div', {'class': 'panel39002'}).find('span').next_sibling name = name.replace('\n', ' ') name = name.replace(",", "") name = name.strip() # Finding Product Rating rating_span = soup.find('span', {'class': 'to3098503t'}).find_next_sibling('span') rating_num = rating_span.find('b').text if rating_num != 'N/A': rating_item = rating_num[0:3] # product description describe = soup.findAll('div', {'class': 'fer048953'})[1].text describe = describe.replace('\n', ' ') describe = describe.replace(",", "") describe = describe.strip() # Finding Vendor vendor = soup.find('div', {'class': 'bold03905 vstat364'}).text vendor = vendor.split(" ") vendor = vendor[2][:-1] vendor = vendor.replace('\n', ' ') vendor = vendor.replace(",", "") vendor = vendor.strip() # Finding Product Rating rating_div = soup.find('div', {'class': 'bold03905 vstat364'}).find_next_sibling('div').find_next_sibling('div') rating_vendor = cleanNumbers(rating_div.text) if rating_vendor == "": rating_vendor = "-1" # Finding Successful Transactions success_container = soup.find('ul', {'class': 'ul3o00953'}).findAll('li')[1] success = success_container.find('div').text success = success.replace('"', '') success = success.replace("\n", " ") success = success.replace(",", "") success = success.strip() # Finding Prices USD_text = soup.find('li', {'class': 'vul2994 vghul995'}).find('div').text USD = USD_text.split(',')[1] USD = USD.replace('\n', ' ') USD = USD.replace(",", "") USD = USD.strip() container = soup.find('ul', {'class': 'bic03095'}) # Finding Number Sold sold_container = container.find('li') sold_div = sold_container.findAll('div')[2] sold = sold_div.find('b').next_sibling sold = sold.replace('"', '') sold = sold.replace("\n", " ") sold = sold.replace(",", "") sold = sold.strip() # Finding the Product Quantity Available left_container = container.find('li') left_div = left_container.findAll('div')[3] left = left_div.find('b').next_sibling left = left.replace('"', '') left = left.replace("\n", " ") left = left.replace(",", "") left = left.strip() # Finding number of reviews positive = soup.find('span', {'class': 'ar04999324'}).text neutral = soup.find('span', {'class': 'ti9400005 can39953'}).text negative = soup.find('span', {'class': 'ti9400005 ti90088 can39953'}).text reviews = int(positive) + int(neutral) + int(negative) # Finding product image image = soup.find('img', {'class': 'img0390503'}) image = image.get('src') image = image.split('base64,')[-1] vendor_image = soup.find('img', {'class': 'img0390503'}) vendor_image = vendor_image.get('src') vendor_image = vendor_image.split('base64,')[-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 blackpyramid_listing_parser(soup): # Fields to be parsed nm = 0 # *Total_Products (Should be Integer) mktName = "BlackPyramid" # 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 listing = soup.findAll('article', {"class": "product"}) # Some listing pages have an additional article section which is blank if not listing[-1].findAll('a', href=True): listing = listing[:-1] # Populating the Number of Products nm = len(listing) for card in listing: bae = card.findAll('a', href=True) # Adding the url to the list of urls link = bae[2].get('href') href.append(link) # Finding the Product product = bae[3].text product = product.replace('\n', ' ') product = product.replace(",", "") product = product.replace("...", "") product = product.strip() name.append(product) # # Finding description # # 'recurisve = False' only searches direct children # desc = card.findChildren('div', recursive=False)[0] # desc = desc.findAll('div', recursive=False)[3].text # desc = desc.replace('\n', ' ') # desc = desc.replace(",", "") # desc = desc.strip() # describe.append(desc) # Finding Vendor Name vendor_name = bae[4].find('span').text vendor_name = vendor_name.split(' ')[1] vendor_name = vendor_name.replace('\n', ' ') vendor_name = vendor_name.replace(",", "") vendor_name = vendor_name.strip() vendor.append(vendor_name) # Finding the Category cat = card.findAll('div', recursive=False)[0].findAll('div', recursive=False)[1].find('span').text cat = cat.replace("\n", "") cat = cat.replace(",", "") cat = cat.strip() category.append(cat) bae = card.findAll('div', recursive=False)[1].findAll('div', recursive=False)[1] # Finding amount left left = bae.findAll('div', recursive=False)[1].text left = left.replace("x", "") left = left.replace('\n', ' ') left = left.replace(",", "") left = left.strip() qLeft.append(left) # Finding amount sold qsold = bae.findAll('div', recursive=False)[2].text qsold = qsold.replace('\n', ' ') qsold = qsold.replace("x", "") qsold = qsold.replace(",", "") qsold = qsold.strip() sold.append(qsold) # Finding product image product_image = card.find('img') product_image = product_image.get('src') product_image = product_image.split('base64,')[-1] image.append(product_image) # Searching for CVE and MS categories cve = card.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 = card.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, 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 BlackPyramid_links_parser(soup): # Returning all links that should be visited by the Crawler href = [] listing = soup.findAll('article', {"class": "product"}) for item in listing: link = item.find('a', {"class": "ah39063"})['href'] href.append(link) return href