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- __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 wethenorth_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
- listDes = soup.find('div', {'class': "listDes"})
- name = listDes.find('h2').text
- name = name.replace('\n', ' ')
- name = name.replace(",", "")
- name = name.strip()
-
- # Finding Vendor
- vendor = listDes.find('b').text
- vendor = vendor.replace(",", "")
- vendor = vendor.replace("...", "")
- vendor = vendor.replace("-", "")
- vendor = vendor.strip()
-
- # Finding Vendor Rating
- # rating = listDes.find('span',{'class':'levelSet'})
- # rating = rating.text
- # rating = rating.replace('\n', ' ')
- # rating = rating.replace(",", "")
- # rating = rating.strip()
-
- # Finding Successful Transactions
- success = listDes.find_all('p')[1]
- success = success.find('span').text
- success = success.split()
- success = success[0].strip()
-
- # Finding Prices - all prices in We The North are in CAD, I left the CAD in the resulting String so that it would show CAD for all prices
- padp = listDes.find('p',{'class':'padp'})
- USD = padp.find('span').text
- USD = USD.strip()
-
- # Finding Escrow - no escrow on WTN market
-
- shipping_info = listDes.find('tbody')
- if "Digital" not in shipping_info:
- shipping_info = shipping_info.find_all('tr')
- row1 = shipping_info[0].find_all('td')
-
- # Finding Shipment Information (Origin)
- shipFrom = row1[-1].text
- shipFrom=shipFrom.strip()
- if shipFrom=="":
- shipFrom="-1"
-
- row2 = shipping_info[1].find_all('td')
-
- # Finding Shipment Information (Destination)
- shipTo = row2[-1].text
- shipTo= shipTo.strip()
- if shipTo == "":
- shipTo = "-1"
-
- # Finding the Product description
- describe = soup.find("div",{'class':'tabcontent'})
- describe = describe.find('p').text
- describe = describe.replace("\n", " ")
- describe = describe.replace("\r", " ")
- describe = describe.strip()
-
- '''
- # Finding the Number of Product Reviews
- tag = soup.findAll(text=re.compile('Reviews'))
- for index in tag:
- reviews = index
- par = reviews.find('(')
- if par >=0:
- reviews = reviews.replace("Reviews (","")
- reviews = reviews.replace(")","")
- reviews = reviews.split(",")
- review = str(abs(int(reviews[0])) + abs(int(reviews[1])))
- else :
- review = "-1"
- '''
-
- # Searching for CVE and MS categories
- # no CVE or MS for WTN market
-
- # 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 wethenorth_listing_parser(soup):
-
- # Fields to be parsed
- nm = 0 # *Total_Products (Should be Integer)
- mktName = "WeTheNorth" # 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
-
- right_content = soup.find('div', {"class": "right-content"})
- listing = right_content.findAll('div', {"class": "col-1search"})
- listing = listing[3:]
-
- # Populating the Number of Products
- nm = len(listing)
-
- for a in listing:
- bae = a.findAll('a', href=True)
-
- # Adding the url to the list of urls
- link = bae[0].get('href')
- link = cleanLink(link)
- href.append(link)
-
- # Finding the Vendor
- vendor_name = a.find('p', {'class': 'padp'})
- vendor_name = vendor_name.find('a').text
- vendor_name = vendor_name.replace(",", "")
- vendor_name = vendor_name.strip()
- vendor.append(vendor_name)
-
- # Finding the Product
- product = bae[0].text
- product = product.replace('\n', ' ')
- product = product.replace(",", "")
- product = product.strip()
- name.append(product)
-
- # Finding the Category
- category_name = a.find('p', {'class': 'padp'}).text
- first_dash = category_name.find('-')
- second_dash = category_name[first_dash+1:].find('-')
- category_name = category_name[first_dash+1:second_dash]
- category_name=category_name.strip()
- category.append(category_name)
-
- # Finding Views
- view_count = a.text
- view_count = view_count[view_count.find('Views:'): view_count.find('Sales:')]
- view_count = view_count.replace('Views:', ' ')
- view_count = view_count.replace('/', ' ')
- view_count = view_count.strip()
- views.append(view_count)
-
- # Finding success sales
- sold_count = a.text
- sold_count = sold_count[sold_count.find('Sales:'): sold_count.find('Short')]
- sold_count = sold_count.replace('Sales:', ' ')
- sold_count = sold_count.replace('/', ' ')
- sold_count = sold_count.strip()
- success.append(sold_count)
-
- # Searching for CVE and MS categories
- # no CVE or MS in WTN market
- 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 wethenorth_links_parser(soup):
-
- # Returning all links that should be visited by the Crawler
- href = []
- right_content = soup.find('div',{"class": "right-content"})
- listing = right_content.findAll('div', {"class": "col-1search"})
- #cut out the irrelevant products that are in blue, the first three products of each page usually unrelated
- listing = listing[3:]
- for a in listing:
-
- link = a.find('a')
- link = link['href']
- href.append(link)
-
- return href
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