__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 # 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 sonanza_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 listing = soup.find('div', {"id": "article_page"}) # Finding the Product name = listing.find('div', {"class": "row box"}).text name = cleanString(name).strip() # Finding Product Image product_image = listing.find('img') product_image = product_image.get('src') product_image = product_image.split('base64,')[-1] image = product_image table = listing.find('div', {"class": "col-md-5"}) # Finding Prices USD = table.find('span', {"class": "pr"}).text USD = USD.replace("$", "").strip() BTC = table.find_all('span', {"class": "pr1"})[1].text BTC = BTC.replace("BTC", "").strip() rows = table.find_all('p', {"class": "mb-0"}) for row in rows: temp = row.text if "CATEGORY" in temp: category = temp.replace("CATEGORY :", "") category = cleanString(category).strip() elif "VENDOR LEVEL" in temp: rating_vendor = temp.replace("VENDOR LEVEL :", "") rating_vendor = cleanString(rating_vendor).strip() rows = listing.find_all('p', {"class": "mb-1"}) for row in rows: temp = row.text if "VENDOR" in temp: vendor = temp.replace("VENDOR :", "") vendor = cleanString(vendor).strip() elif "SHIPS TO" in temp: shipTo = temp.replace("SHIPS TO :", "") shipTo = cleanString(shipTo).strip() elif "SOLD" in temp: sold = cleanNumbers(temp).strip() # Finding Product Description describe = listing.find('pre').text describe = cleanString(describe).strip() # Searching for CVE and MS categories cve = soup.findAll(text=re.compile('CVE-\d{4}-\d{4}')) if cve: CVE = " " for idx in cve: CVE += (idx) CVE += " " CVE = CVE.replace(',', ' ') CVE = CVE.replace('\n', '') ms = soup.findAll(text=re.compile('MS\d{2}-\d{3}')) if ms: MS = " " for im in ms: MS += (im) MS += " " MS = MS.replace(',', ' ') MS = MS.replace('\n', '') # 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 sonanza_listing_parser(soup): # Fields to be parsed nm = 0 # *Total_Products (Should be Integer) mktName = "Sonanza" # 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 listings = soup.findAll('div', {"class": "col-sm-4 col-md-3"}) # Populating the Number of Products nm = len(listings) for listing in listings: # Adding the url to the list of urls bae = listing.find('a', href=True) link = bae.get('href') href.append(link) # Finding Product Image product_image = listing.find('img') product_image = product_image.get('src') product_image = product_image.split('base64,')[-1] image.append(product_image) # Finding the Product product = listing.find('h5', {"class": "art_title"}).text product = cleanString(product) name.append(product.strip()) # Finding Prices price = listing.find('span', {"class": "priceP"}).text price = price.replace("$", "") USD.append(price.strip()) rows = listing.find_all('p', {"class": "mb-0 card-text"}) for row in rows: temp = row.text if "CATEGORY" in temp: cat = temp.replace("CATEGORY :", "") cat = cleanString(cat) category.append(cat.strip()) elif "VENDOR" in temp: vendor_name = temp.replace("VENDOR :", "") vendor_name = cleanString(vendor_name) vendor.append(vendor_name.strip()) # Finding Vendor Rating rating = listing.find('span', {"class": "badge badge-info"}).text rating = rating.replace("VENDOR LEVEL :", "") rating = cleanString(rating) rating_vendor.append(rating.strip()) # Searching for CVE and MS categories cve = listing.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 = listing.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, 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 sonanza_links_parser(soup): # Returning all links that should be visited by the Crawler href = [] listings = soup.findAll('div', {"class": "col-sm-4 col-md-3"}) for listing in listings: a = listing.find('a', href=True) # Adding the url to the list of urls link = a.get('href') href.append(link) return href