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181 lines
7.6 KiB
181 lines
7.6 KiB
__author__ = 'DarkWeb'
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# Here, we are importing the auxiliary functions to clean or convert data
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from MarketPlaces.Utilities.utilities import *
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# Here, we are importing BeautifulSoup to search through the HTML tree
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from bs4 import BeautifulSoup
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#parses description pages, so takes html pages of description pages using soup object, and parses it for info it needs
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#stores info it needs in different lists, these lists are returned after being organized
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#@param: soup object looking at html page of description page
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#return: 'row' that contains a variety of lists that each hold info on the description page
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def torbay_description_parser(soup):
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# Fields to be parsed
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vendor = "-1" # 0 *Vendor_Name
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success = "-1" # 1 Vendor_Successful_Transactions
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rating_vendor = "-1" # 2 Vendor_Rating
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name = "-1" # 3 *Product_Name
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describe = "-1" # 4 Product_Description
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CVE = "-1" # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
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MS = "-1" # 6 Product_MS_Classification (Microsoft Security)
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category = "-1" # 7 Product_Category
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views = "-1" # 8 Product_Number_Of_Views
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reviews = "-1" # 9 Product_Number_Of_Reviews
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rating_item = "-1" # 10 Product_Rating
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addDate = "-1" # 11 Product_AddedDate
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BTC = "-1" # 12 Product_BTC_SellingPrice
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USD = "-1" # 13 Product_USD_SellingPrice
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EURO = "-1" # 14 Product_EURO_SellingPrice
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sold = "-1" # 15 Product_QuantitySold
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left = "-1" # 16 Product_QuantityLeft
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shipFrom = "-1" # 17 Product_ShippedFrom
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shipTo = "-1" # 18 Product_ShippedTo
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image = "-1" # 19 Product_Image
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vendor_image = "-1" # 20 Vendor_Image
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# Finding Product Name
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try:
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product_name = soup.find('div', {'class': 'product-information'}).find('h1').text
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name = cleanString(product_name.strip())
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except:
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product_name = soup.find('div', {'class': 'profile-info'}).find('h2').text
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name = cleanString(product_name.strip())
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# Finding Vendor FIx
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vendor_name = soup.find('div', {"class": "profile-info"}).find('h2').text
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vendor = cleanString(vendor_name.strip())
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# Finding Vendor Image
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vendor_image = soup.find('div', {'class': 'avatar'}).find('img')
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vendor_image = vendor_image.get('src')
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vendor_image = vendor_image.split('base64,')[-1]
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# Finding Prices
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USD = soup.find('div', {'class': "total-price"}).find('span').text.strip()
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# Finding the Product Category
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cat = soup.find('div', {'class': "profile-info"}).find('p').text
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category = cleanString(cat.strip())
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# Finding the Product description
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try:
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describe = soup.find('div', {'class': "info"}).find('p').text
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if "\n" in describe:
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describe = describe.replace("\n", " ")
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describe = describe.replace("\r", " ")
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describe = cleanString(describe.strip())
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except:
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# print("product desc")
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describe = soup.find('div', {'class': 'info'}).text
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describe = cleanString(describe.strip())
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# Finding Product Image
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image = soup.find('div', {'class': 'image text-center'}).find('img')
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image = image.get('src')
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image = image.split('base64,')[-1]
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# Populating the final variable (this should be a list with all fields scraped)
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row = (vendor, rating_vendor, success, name, describe, CVE, MS, category, views, reviews, rating_item, addDate,
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BTC, USD, EURO, sold, left, shipFrom, shipTo, image, vendor_image)
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# Sending the results
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return row
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#parses listing pages, so takes html pages of listing pages using soup object, and parses it for info it needs
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#stores info it needs in different lists, these lists are returned after being organized
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#@param: soup object looking at html page of listing page
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#return: 'row' that contains a variety of lists that each hold info on the listing page
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def torbay_listing_parser(soup):
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# Fields to be parsed
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nm = 0 # *Total_Products (Should be Integer)
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mktName = "TorBay" # 0 *Marketplace_Name
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vendor = [] # 1 *Vendor y
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rating_vendor = [] # 2 Vendor_Rating
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success = [] # 3 Vendor_Successful_Transactions
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name = [] # 4 *Product_Name y
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CVE = [] # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
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MS = [] # 6 Product_MS_Classification (Microsoft Security)
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category = [] # 7 Product_Category y
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describe = [] # 8 Product_Description
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views = [] # 9 Product_Number_Of_Views
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reviews = [] # 10 Product_Number_Of_Reviews
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rating_item = [] # 11 Product_Rating
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addDate = [] # 12 Product_AddDate
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BTC = [] # 13 Product_BTC_SellingPrice
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USD = [] # 14 Product_USD_SellingPrice y
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EURO = [] # 15 Product_EURO_SellingPrice
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sold = [] # 16 Product_QuantitySold
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qLeft =[] # 17 Product_QuantityLeft
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shipFrom = [] # 18 Product_ShippedFrom
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shipTo = [] # 19 Product_ShippedTo
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image = [] # 20 Product_Image
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image_vendor = [] # 21 Vendor_Image
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href = [] # 22 Product_Links
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listing = soup.findAll('div', {"class": "product-card"})
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# Populating the Number of Products
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nm = len(listing)
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for a in listing:
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product_name = a.find('p', {'class': 'name'}).text
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name.append(cleanString(product_name.strip()))
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# Finding Product Image
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image.append("-1")
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prod = a.find('p', {'class': 'price'}).text # price
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USD.append(cleanString(prod.strip()))
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ven = a.find('div', {'class': 'pc-footer'}).find('div').find('a').text # pc-footer
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vendor.append(cleanString(ven.strip()))
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# print(ven)
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# Finding Vendor Image
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image_vendor.append("-1")
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h = a.find('p', {'class': 'name'}).find('a').get('href')
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href.append(h)
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CVE.append("-1")
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MS.append("-1")
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rating_vendor.append("-1")
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success.append("-1")
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describe.append("-1")
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views.append("-1")
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reviews.append("-1")
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rating_item.append("-1")
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addDate.append("-1")
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BTC.append("-1")
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EURO.append("-1")
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sold.append("-1")
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qLeft.append("-1")
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shipFrom.append("-1")
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shipTo.append("-1")
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category.append("Hacking")
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# Populate the final variable (this should be a list with all fields scraped)
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return organizeProducts(mktName, nm, vendor, rating_vendor, success, name, CVE, MS, category, describe, views,
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reviews, rating_item, addDate, BTC, USD, EURO, sold, qLeft, shipFrom, shipTo, href, image, image_vendor)
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#called by the crawler to get description links on a listing page
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#@param: beautifulsoup object that is using the correct html page (listing page)
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#return: list of description links from a listing page
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def torbay_links_parser(soup):
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# Returning all links that should be visited by the Crawler
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href = []
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listing = soup.find('section', {"id": "content"}).findAll('div', {"class": "product-card"})
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for a in listing:
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bae = a.find('div', {"class": "pc-footer"}).find('a', {"class": "btn btn-primary"}, href=True)
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link = bae['href']
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href.append(link)
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return href
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