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168 lines
7.3 KiB
168 lines
7.3 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 darkroad_description_parser(soup):
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# Fields to be parsed
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vendor = "-1" # 0 *Vendor_Name n
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success = "-1" # 1 Vendor_Successful_Transactions n
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rating_vendor = "-1" # 2 Vendor_Rating n
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name = "-1" # 3 *Product_Name y
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describe = "-1" # 4 Product_Description y
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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 y
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views = "-1" # 8 Product_Number_Of_Views n
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reviews = "-1" # 9 Product_Number_Of_Reviews y
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rating_item = "-1" # 10 Product_Rating y
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addDate = "-1" # 11 Product_AddedDate n
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BTC = "-1" # 12 Product_BTC_SellingPrice n
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USD = "-1" # 13 Product_USD_SellingPrice y
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EURO = "-1" # 14 Product_EURO_SellingPrice n
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sold = "-1" # 15 Product_QuantitySold n
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left = "-1" # 16 Product_QuantityLeft n
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shipFrom = "-1" # 17 Product_ShippedFrom n
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shipTo = "-1" # 18 Product_ShippedTo n
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image = "-1" # 19 Product_Image y
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vendor_image = "-1" # 20 Vendor_Image n
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# Finding Product Name
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name = soup.find('h1').text
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name = cleanString(name).strip()
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# Finding Product description
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describe_div = soup.find('div', {'class': "woocommerce-product-details__short-description"})
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describe = describe_div.get_text()
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describe = cleanString(describe).strip()
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# Finding category
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div_category = soup.find('div', {'class': "product_meta"})
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category = div_category.find('span', {"class": 'posted_in'}).get_text()
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category = cleanString(category).strip()
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# Finding Number of Reviews
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div_review_count = soup.find('a', {'class': "woocommerce-review-link"})
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reviews = div_review_count.find('span', {'class': 'count'}).text
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# Finding Review Rating
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div_rating_item = soup.find('div', {'class': "star-rating"})
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rating_item = div_rating_item.find('strong', {'class', "rating"}).text
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# Finding BTC and USD/GOLD
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div_price = soup.find('span', {'class': "woocommerce-Price-amount amount"})
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USD = div_price.text
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div_image = soup.find('div', {'class': "woocommerce-product-gallery woocommerce-product-gallery--with-images woocommerce-product-gallery--columns-4 images"})
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div_image = div_image.find('img')
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image = div_image.get('src').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 darkroad_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 = "DarkRoad" # 0 *Marketplace_Name y
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vendor = [] # 1 *Vendor n
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rating_vendor = [] # 2 Vendor_Rating n
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success = [] # 3 Vendor_Successful_Transactions n
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name = [] # 4 *Product_Name y
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CVE = [] # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures) dont worry about this
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MS = [] # 6 Product_MS_Classification (Microsoft Security) dont worry about this
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category = [] # 7 Product_Category y
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describe = [] # 8 Product_Description n
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views = [] # 9 Product_Number_Of_Views n
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reviews = [] # 10 Product_Number_Of_Reviews n
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rating_item = [] # 11 Product_Rating y
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addDate = [] # 12 Product_AddDate n
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BTC = [] # 13 Product_BTC_SellingPrice n
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USD = [] # 14 Product_USD_SellingPrice y
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EURO = [] # 15 Product_EURO_SellingPrice n
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sold = [] # 16 Product_QuantitySold n
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qLeft = [] # 17 Product_QuantityLeft n
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shipFrom = [] # 18 Product_ShippedFrom n
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shipTo = [] # 19 Product_ShippedTo n
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image = [] # 20 Product_Image y
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image_vendor = [] # 21 Vendor_Image n
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href = [] # 22 Product_Links y
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listings = soup.findAll('a', {"class": "woocommerce-LoopProduct-link woocommerce-loop-product__link"})
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# Populating the Number of Products
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nm = len(listings)
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for listing in listings:
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# Finding the product name
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product_name = listing.find('h2', {"class": "woocommerce-loop-product__title"}).text
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product_name = cleanString(product_name).strip()
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name.append(product_name)
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# Finding the category
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category_name = soup.find('h1', {"class": "page-title"}).get_text()
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category_name = cleanString(category_name).strip()
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category.append(category_name)
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# Finding the BTC and USD/GOLD
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USD_price = listing.find('span', {"class": "woocommerce-Price-amount amount"}).get_text()
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USD_price = cleanString(USD_price).strip()
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USD.append(USD_price)
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# Finding the item rating
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rating_div = listing.find('div', {"class": "star-rating"})
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rating = rating_div.find('strong').text
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rating = cleanString(rating).strip()
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rating_item.append(rating)
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# Finding product image
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product_image = listing.find('img', {"class": "attachment-woocommerce_thumbnail size-woocommerce_thumbnail"})
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product_image = product_image.get('src').split('base64,')[-1]
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image.append(product_image)
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# Finding the hrefs
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description_link = listing["href"]
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href.append(description_link)
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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,
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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 darkroad_links_parser(soup):
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href = []
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listings = soup.findAll('li')
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for listing in listings:
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# Adding the url to the list of urls
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try:
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description_link = listing.find('a', class_="woocommerce-LoopProduct-link woocommerce-loop-product__link")['href']
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href.append(description_link)
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except:
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pass
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return href
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