__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 silkroad4_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 LTC = "-1" # 19 Product_LTC_SellingPrice XMR = "-1" # 20 Product_XMR_SellingPrice image = "-1" # 19 Product_Image vendor_image = "-1" # 20 Vendor_Image bae = soup.find('div', {'id': 'cats'}) # Finding Vendor vendor = bae.find('font', {'color':'blue'}).text vendor = vendor.strip() #Finding Product Name name = bae.find('b', {'style': 'color:#333;'}).text name = name.strip() #Finding image image = bae.find('img') image = image.get('src') image = image.split('base64,')[-1] #Finding Price temp = bae.find('span').next_sibling price_list = temp.split("/") USD = price_list[0].replace("$", "").strip() BTC = price_list[1].replace("BTC","").strip() # Not stored into databse/PGAdmin yet! LTC = price_list[2].replace("LTC", "").strip() XMR = price_list[3].replace("XMR", "").strip() #print(USD, "", BTC,"", LTC,"", XMR) # Finding Ships From a = bae.find_all('a',href=True, limit = 2) shipFrom = a[0].text.strip() #Finding Category category = a[1].text.strip() # Finding the Product description describe = soup.find('div', {'style': 'color:#555;font-weight:normal;font-size:12px'}).text describe = cleanString(describe.strip()) # Finding Rating rate = soup.find('div', {'style': 'padding:0px; margin-bottom:10px; font-size:12px;'}) rate = rate.find('p') if rate is not None: rate = rate.text.strip() #Some descriptions have rating as 'No Rating yet', can convert to -1 for consistency in database #if(rate is 'No rating yet'): # rating_item = -1 #Only extract rating part rating_item = rate[:rate.index('Note')] # Finding Number of Reviews table = soup.find('div', {'class': 'table-responsive'}) if table is not None: num_rev = table.findAll('tr') reviews = len(num_rev) - 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 # This is the method to parse the Listing Pages def silkroad4_listing_parser(soup): # Fields to be parsed nm = 0 # *Total_Products (Should be Integer) mktName = "SilkRoad4" # 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 LTC = [] # 21 Product_LTC_SellingPrice XMR = [] # 22 Product_XMR_SellingPrice image = [] # 19 Product_Image image_vendor = [] # 20 Vendor_Image listing = soup.findAll('div', {'style': "padding:10px; width:100%; margin-bottom:5px; margin-top:0px"}) # Populating the Number of Products nm = len(listing) # Finding category of listing page cat = listing[0].find_all('a', href=True) cat = cat[len(cat)-2].text cat = cat.replace(",", "") cat = cat.strip() 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[0].get('href') link = cleanLink(link) href.append(link) # Finding Price temp = a.find('b', {'style': 'color:#333'}) temp = temp.text price = temp.split("/") USD.append(price[0].replace('$', '').strip()) BTC.append(price[1].replace('BTC', '').strip()) # LTC and XMR will not be stored in Pgadmin as of now LTC.append(price[2].replace('LTC', '').strip()) XMR.append(price[3].replace('XMR', '').strip()) #print(USD, " ", BTC, ' ', LTC, '', XMR) # Finding the Vendor ven = a.findAll('b') v = ven[2].find('font').text v = v.strip() vendor.append(v) # Finding the Product product = bae[0].text product = product.replace(",", "") product = product.replace(",", "") product = product.replace("...", "") product = product.strip() name.append(product) # Finding ShipFrom shipf = bae[len(bae)-1].text.strip() shipFrom.append(shipf) # Finding image product_image = a.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 = 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, image, image_vendor) def silkroad4_links_parser(soup): # Returning all links that should be visited by the Crawler href = [] # finds all div with id, vp divs = soup.findAll('div', {"id": "vp"}) listing = [] # for all div with id:vp, find first a with href for div in divs: a_s = div.find('a', href=True) # if div has no href True, then move on. otherwise, store the a with href into listing if a_s is not None: listing.append(a_s) # loop through listing with a with href and extract/return the href for a in listing: link = a['href'] # if '?listing' is in link, then it is a product, so append to the href list. Otherwise, move on. if "?listing" in link: href.append(link) return href