__author__ = 'DarkWeb'
# Here, we are importing the auxiliary functions to clean or convert data
from typing import List, Tuple
from MarketPlaces.Utilities.utilities import *
# Here, we are importing BeautifulSoup to search through the HTML tree
from bs4 import BeautifulSoup, ResultSet, Tag
def thiefWorld_description_parser(soup: BeautifulSoup) -> Tuple:
# 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
name = soup.find("h1", {'class': 'title'}).text
name = cleanString(name.strip())
describe = soup.find('div', {'id': 'descriptionContent'}).text
describe = cleanString(describe.strip())
# Finding Product Image
image = soup.find('div', {'class': 'product_img_big'}).find('img')
image = image.get('src')
image = image.split('base64,')[-1]
commentListTag: Tag = soup.find('ul', {'class': 'comment_list scrollbar'})
commentList = commentListTag.find_all('li')
review = str(len(commentList))
citySelection: str = soup.find('ul', {'class': 'meta text-muted i_location'}).text
shipFrom = cleanString(citySelection.strip())
vendor = soup.find('h1', {'class': 'title over'}).text
vendor = cleanString(vendor.strip())
usdTag: Tag = soup.find('div', {'class': 'product_price__big'}).find('span')
usdText = usdTag.text.strip('/')[0]
# usdText format: "<value> USD " (i.e., "70 000 USD ")
USD = cleanString(usdText.replace("USD", "").strip())
ratingDiv = soup.find('div', {'class': 'rating_star'})
rating_vendor = ratingDiv.get('title').split(' ')[1]
rating_item = soup.find('div', {'class': 'product_rate'}).text
rating_item = rating_item.replace("rating", "")
rating_item = cleanString(rating_item.strip())
# 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
def thiefWorld_listing_parser(soup: BeautifulSoup):
# Fields to be parsed
nm = 0 # Total_Products (Should be Integer)
mktName = "ThiefWorld" # 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
image = [] # 20 Product_Image
image_vendor = [] # 21 Vendor_Image
href = [] # 22 Product_Links
productList: ResultSet[Tag] = soup.find_all('div', {'class': 'catalog_item'})
nm = len(productList)
for product in productList:
productTitle: Tag = product.find('div', {'class': 'title'}).find('a')
productName = cleanString(productTitle.text.strip())
name.append(productName)
# Finding Product Image
product_image = product.find('noscript').find('img')
product_image = product_image.get('src')
product_image = product_image.split('base64,')[-1]
image.append(product_image)
productHref = productTitle.get('href')
href.append(productHref)
CVE.append('-1')
MS.append('-1')
cat = soup.find('calsys-cat').text
category.append(cat.strip())
productDescription = product.find('div', {'class': 'text'}).text
productDescription = cleanString(productDescription.strip())
describe.append(productDescription)
views.append('-1')
reviews.append('-1')
addDate.append('-1')
BTC.append('-1')
priceText = product.find('span', {'class': 'price'}).find('span').text
priceText = priceText.split('USD')[0]
priceText = cleanString(priceText.strip())
USD.append(priceText)
EURO.append('-1')
sold.append('-1')
qLeft.append('-1')
shipFrom.append('-1')
shipTo.append('-1')
productVendor = product.find('div', {'class': 'market over'}).find('a').text
productVendor = cleanString(productVendor.strip())
vendor.append(productVendor)
image_vendor.append('-1')
rating_vendor.append('-1')
#rating_item.append('-1')
rating = product.find('div', {'class': 'rating_star_yellow'}).attrs.get('style')
rating = rating.replace("width: ", "")
rating_item.append(cleanString(rating))
success.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 thiefworld_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
listing = soup.find('div', {"class": "row tile__list tileitems_filter pad15 tileproduct__list"}).findAll('div', {"class": "desc"})
for a in listing:
bae = a.find('div', {"class": "title"}).find('a', href=True)
link = bae['href']
href.append(link)
return href