__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 darkmatter_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
vendor = "-1" # 0 *Vendor_Name
success = "-1" # 1 Vendor_Successful_Transactions
rating_vendor = "-1" # 2 Vendor_Rating
# product name
try:
name = soup.find('head').find('title').text
name = cleanString(name.strip())
except:
print("name")
#product description
try:
temp = soup.find('pre', {'class', 'description'}).text
temp = temp.replace('\n', ' ')
describe = cleanString(temp.strip())
except:
print("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
# 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
#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 darkmatter_listing_parser(soup):
# Fields to be parsed
nm = 0 # Total_Products (Should be Integer)
mktName = "DarkMatter" # 0 Marketplace_Name
name = [] # 1 Product_Name
CVE = [] # 2 Product_CVE_Classification (Common Vulnerabilities and Exposures)
MS = [] # 3 Product_MS_Classification (Microsoft Security)
category = [] # 4 Product_Category
describe = [] # 5 Product_Description
escrow = [] # 6 Vendor_Warranty
views = [] # 7 Product_Number_Of_Views
reviews = [] # 8 Product_Number_Of_Reviews
addDate = [] # 9 Product_AddDate
lastSeen = [] # 10 Product_LastViewDate
BTC = [] # 11 Product_BTC_SellingPrice
USD = [] # 12 Product_USD_SellingPrice
EURO = [] # 13 Product_EURO_SellingPrice
sold = [] # 14 Product_QuantitySold
qLeft =[] # 15 Product_QuantityLeft
shipFrom = [] # 16 Product_ShippedFrom
shipTo = [] # 17 Product_ShippedTo
vendor = [] # 18 Vendor
rating = [] # 19 Vendor_Rating
success = [] # 20 Vendor_Successful_Transactions
href = [] # 23 Product_Links (Urls)
listing = soup.findAll('div', {"class": "card"})
# Populating the Number of Products
nm = len(listing)
for a in listing:
bae = a.findAll('a', href=True)
# Adding the url to the list of urls
link = bae[0].get('href')
link = cleanLink(link)
href.append(link)
# Finding the Product
product = bae[1].find('p').text
product = product.replace('\n', ' ')
product = product.replace(",", "")
product = product.replace("...", "")
product = product.strip()
name.append(product)
bae = a.find('div', {'class': "media-content"}).find('div').find_all('div')
if len(bae) >= 5:
# Finding Prices
price = bae[0].text
ud = price.replace(" USD", " ")
# u = ud.replace("$","")
u = ud.replace(",", "")
u = u.strip()
USD.append(u)
# bc = (prc[1]).strip(' BTC')
# BTC.append(bc)
# Finding the Vendor
vendor_name = bae[1].find('a').text
vendor_name = vendor_name.replace(",", "")
vendor_name = vendor_name.strip()
vendor.append(vendor_name)
# Finding the Category
cat = bae[2].find('small').text
cat = cat.replace("Category: ", "")
cat = cat.replace(",", "")
cat = cat.strip()
category.append(cat)
# Finding Number Sold and Quantity Left
num = bae[3].text
num = num.replace("Sold: ", "")
num = num.strip()
sold.append(num)
quant = bae[4].find('small').text
quant = quant.replace("In stock: ", "")
quant = quant.strip()
qLeft.append(quant)
# Finding Successful Transactions
freq = bae[1].text
freq = freq.replace(vendor_name, "")
freq = re.sub(r'Vendor Level \d+', "", freq)
freq = freq.replace("(", "")
freq = freq.replace(")", "")
freq = freq.strip()
success.append(freq)
# 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, name, CVE, MS, category, describe, escrow, views, reviews, addDate, lastSeen,
BTC, USD, EURO, qLeft, shipFrom, shipTo, vendor, rating, success, sold, href)
#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 darkmatter_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
listing = soup.find('div', {"class": "content"}).findAll('td', {"class": "lefted", 'colspan': '3'})
for a in listing:
bae = a.find('a', href=True)
link = bae['href']
href.append(link)
return href