__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 nemesis_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
# find vendor name
vendor = soup.find('div', {'class': 'd-flex align-items-center mt-n1'}).find('a').text
vendor = cleanString(vendor).strip()
# find product name
name = soup.find('div', {'class': 'd-flex w-100 mt-4'}).find('a').text
name = name.replace(r'[^a-zA-Z0-9]', '').strip()
# find product description
describe = soup.find('div', {'class': 'card card-bordered rounded-1 my-6'})\
.find('div', {'class': 'fs-5 text-gray-800'}).text
if describe is not None:
describe = cleanString(describe).strip()
else:
describe = soup.find('div', {'class': 'card card-bordered rounded-1 my-6'}) \
.find('div', {'class': 'fs-5 text-gray-800 mt-5'}).text
if describe is not None:
describe = cleanString(describe).strip()
else:
describe = "-1"
# find product category
temp = soup.find('div', {'class': 'fs-7 py-1'}).findAll('a')
category = temp[1].text
if category is not None:
category = category.strip()
else:
category='-1'
print('inside category')
# all in class
temp = soup.find('div', {'class': 'ms-4'}).findAll('div')
# number of reviews
reviews = temp[1].text
if reviews is not None:
reviews = reviews.replace("Reviews: ","").strip()
else:
reviews='-1'
print('in rev')
# item rating out of 5
rating_item = temp[0].text
if rating_item is None:
rating_item = rating_item.replace("Rating: ","").replace(" out of 5","").strip()
else:
rating_item='-1'
# amount of item sold
success = temp[2].text
if success is not None:
success = success.replace('Sales: ', '').strip()
else:
success='-1'
print('success')
# amount
temp = soup.find('div', {'class': 'text-gray-800 fs-1 fw-bolder mt-6'}).text
if 'USD' in temp:
USD = temp.replace('USD', '').strip()
elif 'EUR' in temp:
EURO = temp.replace('EUR', '').strip()
# Finding Vendor Image
vendor_image = soup.find('div', {"class": 'col'}).find('img')
if vendor_image is not None:
vendor_image = vendor_image.get('src')
vendor_image = vendor_image.split('base64,')[-1]
else:
vendor_image = "-1"
# Finding Product Image
image = soup.find('div', {"class": 'container p-0'}).find('img')
if image is not None:
image = image.get('src')
image = image.split('base64,')[-1]
else:
image = "-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 nemesis_listing_parser(soup):
# Fields to be parsed
nm = 0 # *Total_Products (Should be Integer)
mktName = "NemesisMarket" # 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
cat = soup.find('span', {"class": "text-gray-700 fw-bold fs-2"}).text
cat = cleanString(cat).strip()
listing = soup.find('div', {"class": 'row g-5 g-xl-5'}).findAll('div', {"class": 'col-sm-6 col-md-4 col-lg-3 col-xxl-2'})
# Populating the Number of Products
nm = len(listing)
for a in listing:
category.append(cat)
# Adding the url to the list of urls
link = a.find('a').get('href')
link = cleanLink(link)
href.append(link)
# Finding the Product name
product = a.find('div', {"class": 'pt-3 pb-4 px-4'}).find('a').text.strip()
# product = product.replace(r'[^a-zA-Z0-9]', '').strip()
name.append(product)
# Finding Product Image
product_image = a.find('img')
if product_image is not None:
product_image = product_image.get('src')
product_image = product_image.split('base64,')[-1]
image.append(product_image)
else:
image.append("-1")
# Finding Prices
price = a.find('div', {"class": "fs-4 text-gray-800 fw-bolder mt-3"}).text
price = price.strip()
if 'USD' in price:
price = price.replace('USD', '')
price = price.strip()
USD.append(price)
EURO.append("-1")
elif 'EUR' in price:
price = price.replace('EUR', '')
price = price.strip()
EURO.append(price)
USD.append("-1")
else:
USD.append("-1")
EURO.append('-1')
# Finding Item Rating
temp = a.find('div', {"class": "d-flex flex-column"}).findAll('span', {"class": "badge badge-sm badge-light-dark text-gray-800 rounded-1"})
rating = temp[0].text.strip()
if rating is not None:
rating_item.append(rating)
else:
rating_item.append('-1')
print('rating')
# find number of reviews
rev = temp[1].text.strip()
if rev is not None:
reviews.append(rev)
else:
reviews.append('-1')
print('reviews')
# sales
sales = temp[2].text.strip()
if sales is not None:
success.append(sales)
else:
success.append('-1')
print('success')
# Finding the Vendor
vendor_name = a.find('div', {"class": "d-flex flex-column"}).find('a').text
vendor_name = vendor_name.replace(",", "")
vendor_name = vendor_name.strip()
vendor.append(vendor_name)
# vendor image
vendor_image = a.find('div', {"class": 'd-flex align-items-center'}).find('a').find('img')
if vendor_image is not None:
vendor_image = vendor_image.get('src')
vendor_image = vendor_image.split('base64,')[-1]
image_vendor.append(vendor_image)
else:
image_vendor.append("-1")
# item description
description = a.find('div', {"class": 'fs-5 text-gray-800 mt-2'}).text
if description is not None:
description = description.replace('\n', ' ')
describe.append(description)
else:
describe.append('-1')
print('describe')
# 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)
val="-1"
sold.append(val)
views.append(val)
addDate.append(val)
BTC.append(val)
qLeft.append(val)
shipFrom.append(val)
shipTo.append(val)
rating_vendor.append(val)
# 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 nemesis_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
listing = soup.findAll('div', {"class": "col-sm-6 col-md-4 col-lg-3 col-xxl-2"})
for a in listing:
bae = a.findAll('a', href=True)
# Adding the url to the list of urls
link = bae[0].get('href')
href.append(link)
return href