__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 hiddenmarket_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
bae = soup.find('div', {'class': "main"})
# Finding Product Name
name = bae.find('div', {'class': "heading"}).text
name = name.replace('\n', ' ')
name = name.replace(",", "")
name = name.strip()
mb = bae.find('div', {'class': "information"}).findAll('tr')
# Finding Vendor
vendor = mb[1].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 Quantity Left
temp = mb[-3].text
left = temp.replace("Quantity in stock:", "")
left = left.strip()
# Finding USD
USD = mb[0].text
USD = USD.replace("Price:", "")
USD = USD.replace("USD", "")
USD = USD.strip()
# Finding BTC
# temp = bae.find('div', {"class": "small"}).text.split("BTC")
# BTC = temp[0].strip()
# Finding Shipment Information (Origin)
shipFrom = mb[2].text
shipFrom = shipFrom.replace("Seller location:", "")
shipFrom = shipFrom.strip()
# Finding Shipment Information (Destination)
shipTo = mb[3].text
shipTo = shipTo.replace("Ships to (seller):", "")
shipTo = shipTo.strip()
# Finding the Product description
describe = bae.find('div', {"class": "twotabs"}).find('div', {'class': "tab1"}).text
describe = describe.replace("\n", " ")
describe = describe.replace("\r", " ")
describe = describe.replace("-", " ")
describe = describe.strip()
# Finding the Product Category
category = mb[-4].text
category = category.replace("Category:", "")
category = category.strip()
#Finding the number of reviews
reviews = bae.find_all('div', {'class': "heading"})
reviews = reviews[-2].text
reviews = reviews.replace("Comments (", "")
reviews = reviews.replace(")", "")
# 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 hiddenmarket_listing_parser(soup):
# Fields to be parsed
nm = 0 # *Total_Products (Should be Integer)
mktName = "HiddenMarket" # 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
listing = soup.findAll('div', {"class": "item"})
# Populating the Number of Products
nm = len(listing)
# Finding Category
# cat = soup.find("div", {'class': "heading"}).text
# cat = cat.replace(",", "")
# cat = cat.strip()
for card in listing:
# category.append(cat)
# Adding the url to the list of urls
link = card.find_all('a')
link = link[1].get('href')
href.append(link)
# Finding Product Name
product = card.next_sibling.find('div', {'class': "title"})
product = product.text
product = product.replace('\n', ' ')
product = product.replace(",", "")
product = product.strip()
name.append(product)
# Finding Vendor
vendor_name = card.text
vendor_name = vendor_name.replace(",", "")
vendor_name = vendor_name.strip()
vendor.append(vendor_name)
# Finding USD
usd = card.next_sibling.find('div', {"class": "buttons"}).find('div', {'class': "price"}).text
usd = usd.replace("USD", "")
usd = usd.strip()
USD.append(usd)
tb = card.next_sibling.find("div", {"class": "stats"})
tb = tb.find_all('td')
# Finding Reviews
num = tb[-1].text
num = num.strip()
reviews.append(num)
# Finding Views
view = tb[-3].text.strip()
views.append(view)
# Finding Num of Sales
sale = tb[-2].text.strip()
sold.append(sale)
# Finding shipping info
shipping = card.next_sibling.find('div', {'class': "shipping"}).text.split('>')
# SHip from
origin = shipping[0].strip()
shipFrom.append(origin)
#Ship to
destination = shipping[1].strip()
shipTo.append(destination)
# Finding description (site only shows partial description on listing pages)
description = card.next_sibling.find('div', {'class': "description"}).text
description = description.replace("\n", " ")
description = description.replace("\r", " ")
description = description.replace("-", " ")
description = description.strip()
describe.append(description)
# 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)
def hiddenmarket_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
listing = soup.findAll('div', {"class": "item"})
for div in listing:
link = div.findAll('a')
link = link[1]
link = link['href']
href.append(link)
return href