__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 MikesGrandStore_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 Product Name name = soup.find('h1', {'class': 'product-title product_title entry-title'}).text name = cleanString(name) name = name.strip() # Finding Vendor # no vendor vendor = "MikesGrandStore" # Finding the Product Rating rating_item = soup.find('strong', {'class', 'rating'}).text rating_item = cleanNumbers(rating_item) rating_item = rating_item.strip() # Finding Number of Product Reviews review_container = soup.find('li', {'id': 'tab-title-reviews'}) reviews = review_container.find('a').text reviews = cleanNumbers(reviews) reviews = reviews.strip() # Finding Prices USD = soup.find('span', {'class': 'woocommerce-Price-currencySymbol'}).next_sibling.text USD = cleanNumbers(USD) USD = USD.strip() # Finding the Product Quantity Available stock = soup.find('p', {'class': 'stock in-stock'}) if stock is not None: left = stock.text left = cleanNumbers(left) left = left.strip() # Finding the Product description describe = soup.find('div', {'id': 'tab-description'}).text describe = cleanString(describe) describe = describe.strip() # Finding Product Image image = soup.find('img', {'class': 'wp-post-image skip-lazy'}) image = image.get('src') image = image.split('base64,')[-1] # 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 MikesGrandStore_listing_parser(soup): # Fields to be parsed nm = 0 # *Total_Products (Should be Integer) mktName = "MikesGrandStore" # 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 listing_container = soup.find('div', {'class': 'products row row-small large-columns-3 medium-columns-3 small-columns-2 equalize-box'}) listing = listing_container.findAll('div', recursive=False) # Populating the Number of Products nm = len(listing) for a in listing: # Adding the url to the list of urls link = a.find('a', {'class': 'woocommerce-LoopProduct-link woocommerce-loop-product__link'}).get('href') href.append(link) # Finding the Product product = a.find('a', {'class': 'woocommerce-LoopProduct-link woocommerce-loop-product__link'}).text product = cleanString(product) product = product.strip() name.append(product) # Finding Prices price = a.find('span', {'class': 'woocommerce-Price-currencySymbol'}).next_sibling.text price = cleanNumbers(price) price = price.strip() USD.append(price) # Finding the Vendor vendor_name = "MikesGrandStore" vendor.append(vendor_name) image_vendor.append("-1") # Finding the Category cat = a.find('p', {'class': 'category uppercase is-smaller no-text-overflow product-cat op-7'}).text cat = cat.replace("class:", "") cat = cleanString(cat) cat = cat.strip() category.append(cat) # Finding product rating rating = a.find('strong', {'class': 'rating'}).text rating = cleanNumbers(rating) rating = rating.strip() rating_item.append(rating) # Searching for CVE and MS categories cve = a.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 = a.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 MikesGrandStore_links_parser(soup): # Returning all links that should be visited by the Crawler href = [] container = soup.find('div', {"class": "products row row-small large-columns-3 medium-columns-3 small-columns-2 equalize-box"}) listing = container.findAll('div', recursive=False) for a in listing: bae = a.findAll('a', href=True) # Adding the url to the list of urls link = bae[0].get('href') href.append(link) return href