diff --git a/MarketPlaces/DarkRoad/parser.py b/MarketPlaces/DarkRoad/parser.py
new file mode 100644
index 0000000..c4f1922
--- /dev/null
+++ b/MarketPlaces/DarkRoad/parser.py
@@ -0,0 +1,168 @@
+__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
+import re
+
+
+# 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 darkroad_description_parser(soup):
+    # Fields to be parsed
+
+    vendor = "-1"  # 0 *Vendor_Name n
+    success = "-1"  # 1 Vendor_Successful_Transactions n
+    rating_vendor = "-1"  # 2 Vendor_Rating n
+    name = "-1"  # 3 *Product_Name y
+    describe = "-1"  # 4 Product_Description y
+    CVE = "-1"  # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
+    MS = "-1"  # 6 Product_MS_Classification (Microsoft Security)
+    category = "-1"  # 7 Product_Category y
+    views = "-1"  # 8 Product_Number_Of_Views n
+    reviews = "-1"  # 9 Product_Number_Of_Reviews y
+    rating_item = "-1"  # 10 Product_Rating y
+    addDate = "-1"  # 11 Product_AddedDate n
+    BTC = "-1"  # 12 Product_BTC_SellingPrice n
+    USD = "-1"  # 13 Product_USD_SellingPrice y
+    EURO = "-1"  # 14 Product_EURO_SellingPrice n
+    sold = "-1"  # 15 Product_QuantitySold n
+    left = "-1"  # 16 Product_QuantityLeft n
+    shipFrom = "-1"  # 17 Product_ShippedFrom n
+    shipTo = "-1"  # 18 Product_ShippedTo n
+    image = "-1"  # 19 Product_Image y
+    vendor_image = "-1"  # 20 Vendor_Image n
+
+    # Finding Product Name
+    name = soup.find('h1').text
+    name = cleanString(name).strip()
+
+    # Finding Product description
+    describe_div = soup.find('div', {'class': "woocommerce-product-details__short-description"})
+    describe = describe_div.get_text()
+    describe = cleanString(describe).strip()
+
+    # Finding category
+    div_category = soup.find('div', {'class': "product_meta"})
+    category = div_category.find('span', {"class": 'posted_in'}).get_text()
+    category = cleanString(category).strip()
+
+    # Finding Number of Reviews
+    div_review_count = soup.find('a', {'class': "woocommerce-review-link"})
+    reviews = div_review_count.find('span', {'class': 'count'}).text
+
+    # Finding Review Rating
+    div_rating_item = soup.find('div', {'class': "star-rating"})
+    rating_item = div_rating_item.find('strong', {'class', "rating"}).text
+
+    # Finding BTC and USD/GOLD
+    div_price = soup.find('span', {'class': "woocommerce-Price-amount amount"})
+    USD = div_price.text
+
+    div_image = soup.find('div', {'class': "woocommerce-product-gallery woocommerce-product-gallery--with-images woocommerce-product-gallery--columns-4 images"})
+    div_image = div_image.find('img')
+    image = div_image.get('src').split('base64,')[-1]
+
+    # 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 darkroad_listing_parser(soup):
+    # Fields to be parsed
+    nm = 0  # *Total_Products (Should be Integer)
+    mktName = "DarkRoad"  # 0 *Marketplace_Name y
+    vendor = []  # 1 *Vendor n
+    rating_vendor = []  # 2 Vendor_Rating n
+    success = []  # 3 Vendor_Successful_Transactions n
+    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 n
+    views = []  # 9 Product_Number_Of_Views n
+    reviews = []  # 10 Product_Number_Of_Reviews n
+    rating_item = []  # 11 Product_Rating y
+    addDate = []  # 12 Product_AddDate n
+    BTC = []  # 13 Product_BTC_SellingPrice n
+    USD = []  # 14 Product_USD_SellingPrice y
+    EURO = []  # 15 Product_EURO_SellingPrice n
+    sold = []  # 16 Product_QuantitySold n
+    qLeft = []  # 17 Product_QuantityLeft n
+    shipFrom = []  # 18 Product_ShippedFrom n
+    shipTo = []  # 19 Product_ShippedTo n
+    image = []  # 20 Product_Image y
+    image_vendor = []  # 21 Vendor_Image n
+    href = []  # 22 Product_Links y
+
+    listings = soup.findAll('a', {"class": "woocommerce-LoopProduct-link woocommerce-loop-product__link"})
+
+    # Populating the Number of Products
+    nm = len(listings)
+
+    for listing in listings:
+        # Finding the product name
+        product_name = listing.find('h2', {"class": "woocommerce-loop-product__title"}).text
+        product_name = cleanString(product_name).strip()
+        name.append(product_name)
+
+        # Finding the category
+        category_name = soup.find('h1', {"class": "page-title"}).get_text()
+        category_name = cleanString(category_name).strip()
+        category.append(category_name)
+
+        # Finding the BTC and USD/GOLD
+        USD_price = listing.find('span', {"class": "woocommerce-Price-amount amount"}).get_text()
+        USD_price = cleanString(USD_price).strip()
+        USD.append(USD_price)
+
+        # Finding the item rating
+        rating_div = listing.find('div', {"class": "star-rating"})
+        rating = rating_div.find('strong').text
+        rating = cleanString(rating).strip()
+        rating_item.append(rating)
+
+        # Finding product image
+        product_image = listing.find('img', {"class": "attachment-woocommerce_thumbnail size-woocommerce_thumbnail"})
+        product_image = product_image.get('src').split('base64,')[-1]
+        image.append(product_image)
+
+        # Finding the hrefs
+        description_link = listing["href"]
+        href.append(description_link)
+    # 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 darkroad_links_parser(soup):
+
+    href = []
+    listings = soup.findAll('li')
+
+    for listing in listings:
+        # Adding the url to the list of urls
+        try:
+            description_link = listing.find('a', class_="woocommerce-LoopProduct-link woocommerce-loop-product__link")['href']
+            href.append(description_link)
+        except:
+            pass
+
+    return href