124 lines
2.5 KiB
Python
124 lines
2.5 KiB
Python
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#!/usr/bin/env python
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# coding: utf-8
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# # Scrape data from aon2e and generate csvs to import in to sqlite
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# In[ ]:
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# Dependencies
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import pandas as pd
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from bs4 import BeautifulSoup as bs, Tag, NavigableString
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import os
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from splinter import Browser
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# Setting up Selenium
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chrome_driver = os.path.join('..', 'chromedriver.exe')
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executable_path = {'executable_path': chrome_driver}
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browser = Browser('chrome', **executable_path, headless=False)
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# Pandas config
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pd.set_option('display.max_columns', None)
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# In[ ]:
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def scrape_description(url, id_number):
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# Empty lists to store the scraped values
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name_list = []
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description_list = []
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print(f'Beginning Data Retrieval')
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print(f'------------------------')
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# Loop from 1 to the value in weapon_number
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for page in range(1, id_number+1):
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browser.visit(url + str(page))
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html = browser.html
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soup = bs(html, 'html.parser')
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# Select only the content section
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content = soup.find(id='ctl00_MainContent_DetailedOutput')
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try:
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# Store the name and description
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name = content.find('h1', class_='title')
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name.span.decompose()
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name = name.text
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except:
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name = f'name: {page}'
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try:
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description = ''
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start = content.find('hr')
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for e in start.next_siblings:
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if isinstance(e, Tag):
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description = description + e.text.strip()
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elif isinstance(e, NavigableString):
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description = description + e
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except:
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description = f'name: {page}'
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print(f'{page} of {id_number} | {name}')
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# Append values to our empty lists
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name_list.append(name)
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description_list.append(description)
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print(f'------------------------')
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print(f'Data Retrieval Complete')
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# Create df with the scraped data
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data = {'Name': name_list, 'description': description_list}
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# Returns a data frame
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return pd.DataFrame(data)
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# In[ ]:
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# scrape the descriptions
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url_gear = 'https://2e.aonprd.com/Equipment.aspx?ID='
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number_gear = 65 #65 to scrape
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gear_description = scrape_description(url_gear, number_gear)
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# In[ ]:
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# Directory of csv files which are taken from https://2e.aonprd.com/Weapons.aspx
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gear = pd.read_csv('gear.csv')
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# In[ ]:
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gear_description
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# In[ ]:
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gear = gear.merge(gear_description, how='left', on='Name')
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gear['Level'].fillna(0, inplace=True)
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# In[ ]:
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gear.to_csv('gear.csv')
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# In[ ]:
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