this is based on calsyslab project
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 

288 lines
11 KiB

__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
import re
# 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 vortex_description_parser(soup):
# Fields to be parsed
vendor = "-1" # 0 *Vendor_Name y
success = "-1" # 1 Vendor_Successful_Transactions n
rating_vendor = "-1" # 2 Vendor_Rating y
name = "-1" # 3 *Product_Name y
describe = "-1" # 4 Product_Description y
CVE = "-1" # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
MS = "-1" # 6 Product_MS_Classification (Microsoft Security)
category = "-1" # 7 Product_Category y
views = "-1" # 8 Product_Number_Of_Views y
reviews = "-1" # 9 Product_Number_Of_Reviews n
rating_item = "-1" # 10 Product_Rating n
addDate = "-1" # 11 Product_AddedDate y
BTC = "-1" # 12 Product_BTC_SellingPrice y
USD = "-1" # 13 Product_USD_SellingPrice y
EURO = "-1" # 14 Product_EURO_SellingPrice n
sold = "-1" # 15 Product_QuantitySold n
left = "-1" # 16 Product_QuantityLeft n
shipFrom = "-1" # 17 Product_ShippedFrom n
shipTo = "-1" # 18 Product_ShippedTo n
image = "-1" # 19 Product_Image n
vendor_image = "-1" # 20 Vendor_Image n
temp2 = soup.find('div', {'class', 'col-auto font-weight-bold'})
# Finding Vendor - check
vendor = temp2.find('a').text
vendor = cleanString(vendor).strip()
# Finding Vendor Rating (bug in their system shows standard rating)
try:
rating_vendor = temp2.find('span', {'class': "badge badge-pill mr-2"}).text
rating_vendor = rating_vendor.replace('VendorLvl:', '')
except:
rating_vendor = '-1'
rating_vendor = cleanNumbers(rating_vendor).strip()
# Finding Product Name - check
name = soup.find('h3', {'class': "d-inline-block font-weight-bold"}).text
name = cleanString(name).strip()
# Finding Product description - check
try:
describe = soup.find('p', {'class': 'description pl-3 py-2 border rounded-3'}).text
describe = cleanString(describe).strip()
except:
describe = '-1'
# print(describe)
# Finding category - checl
div_category = soup.find('ol', {'class': "breadcrumb breadcrumb-navbar py-0 px-2 px-md-4 m-0 ml-2 mx-auto justify-content-center h-auto d-flex bg-transparent"}).find_all('li')
category = div_category[1].find('a').text
category = cleanString(category).strip()
# Product rating - check
try:
rating = temp2.find('span', {'class': 'text-success mr-2 py-1'}).text
rating = re.sub(r'[()+%]', '', rating)
except:
rating = '-1'
rating_item = cleanString(rating).strip()
# Finding BTC and USD/GOLD
div_price = soup.find('h5', {'class': "product-price"}).find('span', {'class', 'small product-price ml-2'}).text
div_price = div_price.split('|')
bit = div_price[0]
if 'btc' in bit:
bit = bit.replace('btc', '')
bit = cleanString(bit).strip()
BTC = bit
usd = div_price[2]
if 'usdt_tron' in usd:
usd = usd.replace('usdt_tron', '')
usd = cleanString(usd).strip()
USD = usd
left = soup.find('div', {'class', 'row mt-3'}).find('div', {'class', 'col-6 font-weight-bold'}).text
left = cleanString(left).strip()
try:
image = soup.find('li', {'class', 'carousel__slide'}).find('img').get('src').split('base64,')[-1]
except:
image = '-1'
# 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 vortex_listing_parser(soup):
# Fields to be parsed
nm = 0 # *Total_Products (Should be Integer)
mktName = "Vortex" # 0 *Marketplace_Name y
vendor = [] # 1 *Vendor y
rating_vendor = [] # 2 Vendor_Rating y
success = [] # 3 Vendor_Successful_Transactions n
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 n
views = [] # 9 Product_Number_Of_Views y
reviews = [] # 10 Product_Number_Of_Reviews n
rating_item = [] # 11 Product_Rating n
addDate = [] # 12 Product_AddDate y
BTC = [] # 13 Product_BTC_SellingPrice y
USD = [] # 14 Product_USD_SellingPrice y
EURO = [] # 15 Product_EURO_SellingPrice n
sold = [] # 16 Product_QuantitySold n
qLeft = [] # 17 Product_QuantityLeft n
shipFrom = [] # 18 Product_ShippedFrom n
shipTo = [] # 19 Product_ShippedTo n
image = [] # 20 Product_Image n
image_vendor = [] # 21 Vendor_Image n
href = [] # 22 Product_Links y
temp = soup.find('main', {'id': 'main'}).find('section', {'id':'page_container'})
listings = temp.findAll('div', {"class": "product-card col-sm-6 col-md-3 col-xl-4 mb-5"})
cat = soup.find('section', {'class': 'row px-md-4 mx-0 mb-3'}).find('ol').find_all('li')
cat = cat[1].find('a').text
# Populating the Number of Products
nm = len(listings)
for listing in listings:
listing = listing.find('div', {'class': 'product-details'})
# Finding vendor name - checked
vendor_name = listing.find('span', {'class': 'd-inline-block w-100 mb-1'}).find('a').text
if 'ships from' in vendor_name:
reg = re.compile(r'(.+?)\'s shop')
vendor_name = reg.match(vendor_name)
if vendor_name:
vendor_name = vendor_name.group(1)
vendor_name = vendor_name.replace('\'s shop', '')
vendor_name = vendor_name.strip()
vendor.append(vendor_name)
# Finding the vendor rating - checked
vendor_level = listing.find('span', {'class': "badge badge-pill mr-2 font-weight-normal"}).text
vendor_level = vendor_level.split(' ')
vendor_level = cleanNumbers(vendor_level[-1])
rating_vendor.append(vendor_level)
# Finding the product name - checked
product_name = listing.find('h4').find('a').text
product_name = cleanString(product_name).strip()
name.append(product_name)
# Searching for CVE and MS categories
cve = listing.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', '')
cee = cee.replace('\t', '')
cveValue = cee
CVE.append(cveValue)
ms = listing.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)
# Finding the category - check
category_text = cleanString(cat).strip()
category.append(category_text)
# Finding the hrefs - check
description_link = listing.find('h4').find('a')['href']
href.append(description_link)
# Finding the views - check
views_text = '-1'
views.append(views_text)
# Finding the date added
date = '-1'
# date = datetime.strptime(date, "%d-%m-%Y")
addDate.append(date)
# EURO
EURO.append('-1')
# Finding the BTC and USD/GOLD
try:
money = listing.find('div', {"class": 'w-100 small product-price mb-1 text-right'}).text
money = money.split('|')
if 'btc' in money[0]:
btc_price = money[0].replace('btc', '')
btc_price = cleanString(btc_price).strip()
except:
btc_price = '-1'
BTC.append(btc_price)
try:
if 'usd' in money[2]:
usd_price = money[2].strip().replace('usdt_tron', '')
usd_price = cleanString(usd_price).strip()
except:
usd_price = '-1'
USD.append(usd_price)
sold.append('-1')
qLeft.append('-1')
shipTo.append('-1')
shipf = listing.find('span', {'class': 'd-inline-block w-100 mb-1'}).find('a').text
if 'ships from' in shipf:
pattern = re.compile(r"ships from (.*)")
shipf = pattern.search(shipf)
if shipf:
shipf = shipf.group(1)
shipf = shipf.replace('ships from', '')
else:
shipf = '-1'
shipf = cleanString(shipf).strip()
shipFrom.append(shipf)
try:
temp = listing.find('p', {'class', 'w-100 mb-2'}).find('img').get('src').split('base64,')[-1]
except:
temp = '-1'
image.append(temp)
image_vendor.append('-1')
# 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 vortex_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
listings = soup.find('main').findAll('div', {"class": "product-card col-sm-6 col-md-3 col-xl-4 mb-5"})
for listing in listings:
# Adding the url to the list of urls
description_link = listing.find('h4').find('a')['href']
href.append(description_link)
return href