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__author__ = 'Helium'
# 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 lionmarketplace_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
# vendor name
temp = soup.find('div', {'class': 'btn-group'}).find('a').text
vendor = (cleanString(temp.strip()))
# table with info
table = soup.find('table')
rows = table.findAll('tr')
# vendor rating
pos = soup.find('span', {"class": "fas fa-plus-circle text-success"}).parent.text
pos = int(pos.strip())
neu = soup.find('span', {"class": "fas fa-stop-circle text-secondary"}).parent.text
neu = int(neu.strip())
neg = soup.find('span', {"class": "fas fa-minus-circle text-danger"}).parent.text
neg = int(neg.strip())
total = pos + neu + neg
if total > 0:
rating_vendor = str((pos + 0.5*neu) / total)
# product name
temp = soup.find('div', {'class', 'row'}).find('h2').text
name = (cleanString(temp.strip()))
# product description
temp = soup.find('div', {'class': "mt-4"}).contents[-1]
describe = cleanString(temp.strip())
# Finding Product Image
image = soup.find('div', {'id': 'slide-1'}).find('img')
image = image.get('src')
image = image.split('base64,')[-1]
full = rows[0].findAll('i', {"class": "fas fa-star"})
half = rows[0].find('i', {"class": "fas fa-star-half-alt"})
rating_item = len(full)
if half is not None:
rating_item += 0.5
rating_item = str(rating_item)
# USD selling price
temp = rows[2].find('strong').text
if " $" in temp:
temp = temp.replace(" $", "")
elif "$" in temp:
temp = temp.replace("$", "")
USD = cleanString((temp.strip()))
# product sold
temp = rows[4].find('td')
if temp is not None and cleanString(temp.text.strip()) == 'Left/Sold':
temp = rows[4].findAll('td')
temp = temp[1].findAll('span')
# left
sold = temp[1].text
left = temp[0].text
sold = cleanNumbers(sold.strip())
left = cleanNumbers(left.strip())
else:
sold = '-1'
left = "-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 lionmarketplace_listing_parser(soup):
# Fields to be parsed
nm = 0 # *Total_Products (Should be Integer)
mktName = "LionMarketplace" # 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
listings = soup.findAll('div', {"class": "col-md-4 my-md-0 my-2 col-12"})
# Populating the Number of Products
nm = len(listings)
for listing in listings:
a = listing.find('div', {"class": "card-body"})
row = a.findAll('p')
# vendor
temp = row[3].text
temp = temp.replace("Vendor:", "")
vendor.append(cleanString(temp.strip()))
image_vendor.append("-1")
# vendor rating
rating_vendor.append("-1")
# successful transactions CHECK AGAIN HERE
success.append("-1")
# product name
temp = a.find('a').text
name.append(cleanString(temp.strip()))
# Finding Product Image
product_image = listing.find('img', {'class': 'card-img-top rounded'})
product_image = product_image.get('src')
product_image = product_image.split('base64,')[-1]
image.append(product_image)
CVE.append('-1')
MS.append('-1')
# product category
temp = row[1].text
temp = temp.replace("Category: ", "")
category.append(cleanString(temp.strip()))
describe.append('-1')
# product views
vnum = listing.find('p', {"class": "position-absolute bg-primary opacity-60 text-white mt-4 mr-5 pr-1"}).text
views.append(cleanNumbers(vnum.strip()))
reviews.append('-1') # 10 Product_Number_Of_Reviews
rating_item.append('-1') # 11 Product_Rating
addDate.append('-1') # 12 Product_AddDate
# BTC
BTC.append('-1')
# USD
temp = row[0].find('strong').text
USD.append(cleanNumbers(temp.strip())) # 14 Product_USD_SellingPrice
EURO.append("-1") # 15 Product_EURO_SellingPrice
# product sold
sold.append("-1")
qLeft.append('-1') # 17 Product_QuantityLeft
shipFrom.append('-1') # 18 Product_ShippedFrom
shipTo.append('-1') # 19 Product_ShippedTo
# href
temp = a.find('a').get('href')
href.append(temp)
# 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 lionmarketplace_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
listings = soup.findAll('div', {"class": "col-md-4 my-md-0 my-2 col-12"})
for listing in listings:
a = listing.find('div', {"class": "card-body"})
bae = a.find('a', href=True)
link = bae['href']
href.append(link)
return href