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207 lines
7.7 KiB
207 lines
7.7 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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import re
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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 AnonMarket_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) dont worry about that much
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MS = "-1" # 6 Product_MS_Classification (Microsoft Security) dont worry about that much
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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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name_of_product = soup.find("div", {"class": "heading"}).text
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name = cleanString(name_of_product.strip())
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description_div = soup.find("div", {"class": "tab1"})
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if description_div is None:
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describe = "-1"
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else:
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describe = cleanString(description_div.text.strip())
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info_div = soup.find('div', {'class': 'information'})
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table = info_div.find('table') if info_div else None
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if table:
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# Find all table rows
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rows = table.find_all('tr')
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# Parse each row to get relevant data
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data = {}
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for row in rows:
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columns = row.find_all('td')
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if len(columns) == 3:
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key = columns[0].text.strip()
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value = columns[2].text.strip()
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data[key] = value
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# Extract specific data from the dictionary and assign them to individual variables
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vendor = data.get('Vendor', '-1')
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shipFrom = data.get('Location', '-1')
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shipTo = data.get('Ships to', '-1')
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category = data.get('Category', '-1')
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USD = data.get('Price', '-1').split()[0]
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left = data.get('Stock', '-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)
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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 AnonMarket_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 = "AnonMarket" # 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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href = [] # 20 Product_Links
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base_url = "http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion"
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products_list = soup.find_all('div', {'class': 'item'})
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nm = 0
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for product in products_list:
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try:
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name_of_product = product.find("div", {"class": "title"}).text.strip()
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name.append(name_of_product)
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name_of_vendor = product.find("a", {'class': 'seller'}).text.strip()
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vendor.append(name_of_vendor)
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cat = soup.find("div", {'class': 'heading'}).text
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category.append(cat)
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product_link_element = product.find("div", {"class": "title"}).find_parent('a')
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if product_link_element:
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link = product_link_element['href']
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if "/product/" in link and "/user/" not in link:
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full_link = base_url + link
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href.append(full_link)
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else:
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href.append("-1")
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else:
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href.append("-1")
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# Append '-1' for unavailable data
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rating_vendor.append("-1")
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success.append("-1")
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CVE.append("-1")
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MS.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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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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nm += 1
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except AttributeError as e:
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print("I'm somewhere I don't belong. I'm going to leave")
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continue
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# Populate the final variable (this should be a list with all fields scraped)
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return organizeProducts(
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marketplace = "AnonMarket",
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nm = nm,
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vendor = vendor,
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rating_vendor = rating_vendor,
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success_vendor = success,
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nombre = name,
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CVE = CVE,
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MS = MS,
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category = category,
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describe = describe,
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views = views,
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reviews = reviews,
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rating_item = rating_item,
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addDate = addDate,
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BTC = BTC,
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USD = USD,
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EURO = EURO,
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sold = sold,
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qLeft = qLeft,
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shipFrom = shipFrom,
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shipTo = shipTo,
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href = href
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)
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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 AnonMarket_links_parser(soup):
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# Base URL to prepend to each product link
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base_url = "http://2r7wa5og3ly4umqhmmqqytae6bufl5ql5kz7sorndpqtrkc2ri7tohad.onion"
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# Returning all links that should be visited by the Crawler
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href = []
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# Using a shorter, but still unique, class name
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listing = soup.find_all('a', href=True, attrs={'href': lambda x: "/product/" in x})
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for a in listing:
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link = a.get('href')
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if link: # Checks if 'href' attribute is not None
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# Prepending the base URL to the scraped link
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full_link = base_url + link
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href.append(full_link)
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# Filtering out any links that might not have '/product/' in them
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product_links = [link for link in href if '/product/' in link]
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return product_links
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