diff --git a/src/weapons/scrape.py b/src/weapons/scrape.py
new file mode 100644
index 0000000..f16fb57
--- /dev/null
+++ b/src/weapons/scrape.py
@@ -0,0 +1,112 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# # Scrape data from aon2e and generate csvs to import in to sqlite
+
+# In[1]:
+
+
+# Dependencies
+import pandas as pd
+from bs4 import BeautifulSoup as bs
+import os
+from splinter import Browser
+
+# Setting up Selenium
+chrome_driver = os.path.join('..', 'chromedriver.exe')
+executable_path = {'executable_path': chrome_driver}
+browser = Browser('chrome', **executable_path, headless=False)
+
+# Pandas config
+pd.set_option('display.max_columns', None)
+
+
+# In[2]:
+
+
+# url that contains all the links
+url_weapon = 'https://2e.aonprd.com/Weapons.aspx?ID='
+
+# Number of weapons
+number_of_weapons = 83
+
+# Empty lists to store the scraped values
+name_list = []
+description_list = []
+
+print(f'Beginning Data Retrieval')
+print(f'------------------------')
+
+# Loop from 1 to the value in weapon_number
+for weapon in range(1, number_of_weapons+1):
+    
+    url = url_weapon + str(weapon)
+    browser.visit(url)
+    html = browser.html
+    soup = bs(html, 'html.parser')
+
+    # Select only the content section
+    content = soup.find(id='ctl00_MainContent_DetailedOutput')
+
+    try:
+        # Store the name and description
+        name = content.find('a').text.strip()
+        
+    except:
+        name = f'weapon: {weapon}'
+
+    try:
+        description = content.find('hr').next.text.strip()
+        
+    except:
+        description = content.find('hr').next.strip()
+        
+    print(f'Processing Weapon {weapon} of {number_of_weapons} | {name}')
+
+    # Append values to our empty lists
+    name_list.append(name)      
+    description_list.append(description)
+
+print(f'------------------------')
+print(f'Data Retrieval Complete')
+
+
+# In[3]:
+
+
+# Directory of csv files which are taken from https://2e.aonprd.com/Weapons.aspx
+melee = pd.read_csv('melee.csv')
+ranged = pd.read_csv('ranged.csv')
+
+
+# In[13]:
+
+
+data = {'Name': name_list, 'description': description_list}
+scrape = pd.DataFrame(data)
+
+
+# In[16]:
+
+
+melee = melee.merge(scrape, how='left', on='Name')
+
+
+# In[17]:
+
+
+ranged = ranged.merge(scrape, how='left', on='Name')
+
+
+# In[18]:
+
+
+melee.to_csv('melee.csv')
+ranged.to_csv('ranged.csv')
+
+
+# In[ ]:
+
+
+
+