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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
-
- 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 tormarket_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
-
- #finding the name of the product
- name_of_product = soup.find("h1", {"class": "product_title entry-title"}).find("a").text
- name = cleanString(name_of_product.strip())
-
- #finding the description of the product
- description_of_product = soup.find("div", {"class": "woocommerce-product-details__short-description"}).text
- describe = cleanString(description_of_product.strip())
-
- #finding the name of the vendor
- name_of_vendor = soup.find("div", {"class": "wcfmmp_sold_by_store"})
- if name_of_vendor is not None:
- name_of_vendor = name_of_vendor.find("a").text
- vendor = cleanString(name_of_vendor.strip())
- else:
- vendor = "TorMarket"
-
- #finding the price of the item
- price = soup.find("p", {"class": "price"}).find("bdi").text
- price_cleaned = price[1:]
- USD = price_cleaned.strip()
-
- category = soup.find('span', {"class": "posted_in"}).text
- category = category.split(':')[-1]
- category = category.replace(',', '/')
- category = cleanString(category.strip())
- #everything else gets a -1 because they are not found
-
- # 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 tormarket_listing_parser(soup):
-
- # Fields to be parsed
- nm = 0 # *Total_Products (Should be Integer)
- mktName = "TorMarket" # 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
-
- products_list = soup.find('ul', {"class": "products columns-3 tablet-columns-2 mobile-columns-1"}).find_all('li')
- nm = len(products_list)
-
- for product in products_list:
- # Finding the name of the product
- name_of_product = product.find("h2", {"class": "woocommerce-loop-product__title"}).find("a").text
- name_of_product_cleaned = cleanString(name_of_product.strip())
- # print(name_of_product_cleaned)
- name.append(name_of_product_cleaned)
- #finding the URL
- try:
- url = product.find("div", {"class": "product-loop-content text-center"}).find("a").get("href")
- # print(url)
- href.append(url)
- except AttributeError as e:
- print("I can't find the link")
- raise e
-
- #finding the rating of the product
- rating_score_of_product = product.find("div", {"class": "product-loop-content text-center"}).find("div").find("span").text
- rating_item.append(cleanString(rating_score_of_product.strip()))
- # print("done")
- #finding the rating of the vendors
- rating_score_of_vendor = product.find("div", {"class": "wcfmmp-store-rating"})
- if rating_score_of_vendor is not None:
- rating_score_of_vendor = rating_score_of_vendor.find("strong").text
- rating_vendor.append(cleanString(rating_score_of_vendor.strip()))
- else:
- rating_vendor.append('-1')
- # print("done")
- #finding the cost in USD
- cost = product.find("span", {"class": "woocommerce-Price-amount amount"}).text
- USD.append(cost)
- # print("done")
- #finding the name of the vendor
- vendor_name = product.find("div", {"class": "wcfmmp_sold_by_wrapper"})
- if vendor_name is not None:
- vendor_name = vendor_name.find("a").text
- vendor.append(cleanString(vendor_name.strip()))
- else:
- vendor.append(mktName)
- # print("done")
- #everything else appends a -1
- success.append("-1")
- CVE.append("-1")
- MS.append("-1")
- category.append("-1")
- describe.append("-1")
- views.append("-1")
- reviews.append("-1")
- addDate.append("-1")
- BTC.append("-1")
- EURO.append("-1")
- sold.append("-1")
- qLeft.append("-1")
- shipFrom.append("-1")
- shipTo.append("-1")
- # print("Done! moving onto the next product!")
- # print(len(shipTo))
-
-
- # 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 tormarket_links_parser(soup):
-
- # Returning all links that should be visited by the Crawler
-
- href = []
- listing = soup.findAll('div', {"class": "product-loop-content text-center"})
-
- for a in listing:
- bae = a.find('h2', {"class": "woocommerce-loop-product__title"}).find('a', href=True)
- link = bae['href']
- href.append(link)
-
- return href
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