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182 lines
8.0 KiB
182 lines
8.0 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, ResultSet, Tag
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# This is the method to parse the Description Pages (one page to each Product in the Listing Pages)
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def thedarkmarket_description_parser(soup: BeautifulSoup):
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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"
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image_vendor = "-1"
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details: Tag = soup.find("div", {"class": "wc-content"})
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vendor = details.find("div", {"class": "product_meta"}).find("a", {"class": "wcvendors_cart_sold_by_meta"}).text
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name = details.find("h1", {"class": "product_title entry-title"}).text
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describe_list = [
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elem.text for elem in
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details.find("div", {"id": "tab-description"}).find_all()
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if elem.name != "h2"
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]
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describe = " ".join(describe_list)
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categories_list: ResultSet[Tag] = details.find("span", {"class": "posted_in"}).find_all("a")
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category = "Hacking"
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reviews = details.find("div", {"class": "review-link"}).get("title")
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rating_item = details.find("div", {"class": "star-rating"}).get('title')
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price_container = details.find("p", {"class": "price"})
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if not price_container.find("ins"):
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USD = price_container.find("span", {"class": "woocommerce-Price-amount amount"}).text.replace("$", "")
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else:
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USD = price_container.find("ins").find("span", {"class": "woocommerce-Price-amount amount"}).text.replace("$", "")
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# print(f"\n[desc] Product: {name}")
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# print(f"[desc] Price: ${USD}\n")
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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, image_vendor)
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# Sending the results
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return row
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# This is the method to parse the Listing Pages
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def thedarkmarket_listing_parser(soup: BeautifulSoup):
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# Fields to be parsed
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nm = 0 # *Total_Products (Should be Integer)
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mktName = "TheDarkMarket" # 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 = []
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image_vendor = []
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href = [] # 20 Product_Links
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products_list: ResultSet[Tag] = soup.find("ul", {"class": "products columns-3"}).find_all("li")
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for product in products_list:
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nm += 1
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product_vendor = product.find("small", {"class": "wcvendors_sold_by_in_loop"}).find("a").text
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vendor.append(cleanString(product_vendor))
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# rating_vendor.append("-1")
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# success.append("-1")
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product_name = product.find("h2", {"class": "woocommerce-loop-product__title"}).text
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name.append(cleanString(product_name))
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# CVE.append("-1")
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# MS.append("-1")
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product_category = product.find("div", {"class": 'product-categories'}).text
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category.append(cleanString(product_category))
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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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product_rating = product.find("div", {"class": "star-rating"}).get("title")
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rating_item.append(cleanString(product_rating))
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# addDate.append(datetime.now().strftime("%m/%d/%Y "))
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# BTC.append("-1")
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price_container = product.find("span", {"class": "price"})
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if not price_container.find("ins"):
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product_price = price_container.find("span", {"class": "woocommerce-Price-amount amount"}).text.replace("$", "")
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else:
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product_price = price_container.find("ins").find("span", {"class": "woocommerce-Price-amount amount"}).text.replace("$", "")
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USD.append(cleanNumbers(product_price))
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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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# shipTo.append("-1")
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# shipFrom.append("-1")
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product_href = product.find("a", {"class": "woocommerce-LoopProduct-link woocommerce-loop-product__link"}).get("href")
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href.append(product_href)
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# print(f"\n[list] Product: {product_name}")
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# print(f"[list] Links: ${product_href}\n")
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product_images_list = product.find("a", {"class": "tf-loop-product-thumbs-link"}).find("img").get("data-srcset").split(" ")
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product_image = product_images_list[0]
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image.append(product_image)
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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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def thedarkmarket_links_parser(soup: BeautifulSoup):
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# Returning all links that should be visited by the Crawler
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href = []
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listing: ResultSet[Tag] = soup.find("ul", {"class": "products columns-3"}).find_all("li")
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for li in listing:
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a = li.find('a', {"class": "woocommerce-LoopProduct-link woocommerce-loop-product__link"})
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link = a.get('href')
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href.append(link)
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print(f"Links: {href}")
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return href
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