__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 royal_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
# Finding Product Name
name = soup.find('h5', {'class': "bold"}).text
name = name.replace('\n', ' ')
name = name.replace(",", "")
name = name.strip()
bae = soup.find('div', {'class': "card-header bg-light"})
# Finding Vendor
vendor = bae.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 Successful Transactions
success = bae.find('b').text
success = success.replace("(", "")
success = success.replace(")", "")
success = success.strip()
form = soup.find_all('form', {'method': "POST"})
bae = form[1].find_all('div', {'class': "row"})
# Finding Quantity Sold
div = bae[2].find_all('div', {'class': "col"})
temp = div[1].text
temp = temp.split()
if len(temp) > 0:
sold = temp[0].strip()
sold = re.sub(r'[^0-9.]', "", sold)
if sold == "":
sold = -1
else:
sold = -1
# Finding Quantity Left
div = bae[3].find_all('div', {'class': "col"})
temp = div[1].text
temp = temp.split()
if len(temp) > 0:
left = temp[0].strip()
left = re.sub(r'[^0-9.]', "", left)
if left == "":
left = -1
else:
left = -1
# Finding Prices
temp = bae[-2].find('strong').text
temp = temp.replace("Price:", "")
temp = temp.split()
USD = temp[0].strip()
USD = re.sub(r'[^0-9.]', "", USD)
# shipping_info = bae[4].text
# if "Digital" not in shipping_info:
# shipping_info = shipping_info.split(" ")
#
# # Finding Shipment Information (Origin)
# shipFrom = shipping_info[0].strip()
#
# # Finding Shipment Information (Destination)
# shipTo = shipping_info[1].strip()
# Finding the Product description
describe = soup.find('xmp').text
describe = describe.replace("\n", " ")
describe = describe.replace("\r", " ")
describe = describe.strip()
# 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 royal_listing_parser(soup):
# Fields to be parsed
nm = 0 # *Total_Products (Should be Integer)
mktName = "Royal" # 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
# Finding category of listing page
cat = soup.find('li', {'class': "breadcrumb-item active"}).text
cat = cat.strip()
listing = soup.findAll('div', {'class': "card search border shadow-sm mb-3"})
# Populating the Number of Products
nm = len(listing)
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[1].get('href')
link = cleanLink(link)
href.append(link)
# Finding the Vendor
vendor_name = bae[0].text
vendor_name = vendor_name.replace(",", "")
vendor_name = vendor_name.strip()
vendor.append(vendor_name)
# Finding the Product
product = bae[2].get('title')
product = product.replace('\n', ' ')
product = product.replace(",", "")
product = product.strip()
name.append(product)
# 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)
def royal_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
listing = soup.findAll('div', {"class": "card search border shadow-sm mb-3"})
for div in listing:
a = div.find_all('a')
link = a[1].get('href')
href.append(link)
return href