VIM colors downloader in Python, using multiprocessing

Question

I recently posted this script:

VIM colors downloader in Python

But since I'm not allowed to update the code there, I wanted to get an idea on this version, that uses multiprocessing:

import os
import json
import requests
from bs4 import BeautifulSoup
from multiprocessing import Process
class Spider:
 def __init__(self, total_pages=40):
 self.base_url = "http://vimcolors.com"
 self.total_pages = total_pages
 self.download_dir = 'colors'
 # If we don't have the download directory
 if not os.path.isdir(self.download_dir):
 print(self.download_dir, 'does not exist, trying to create it...')
 # create it...
 os.mkdir(self.download_dir)
 def download(self, name, url):
 try:
 full_path = os.path.join(self.download_dir, name)
 # If we have already downloaded this file, just skip
 if os.path.isfile(full_path):
 raise Exception('File: {} already exists; skipping.'.format(name))
 # Get the response
 response = requests.get(url)
 if response.status_code == 404:
 raise Exception('File not found: {}'.format(url))
 # Try downloading the file
 with open(full_path, 'wb') as file_path:
 file_path.write(response.content)
 except Exception as e:
 print(e)
 else:
 print('Downloaded', name)
 def crawl(self):
 def repo_formatter(scheme):
 base_url = scheme['github_repo']['address'].replace('github.com', 'raw.githubusercontent.com')
 return '{}/master/colors/'.format(base_url)
 # Loop over all the pages
 for page in range(self.total_pages):
 page_source = requests.get(self.base_url, params={'page': page + 1})
 plain_text = page_source.text
 soup = BeautifulSoup(plain_text, 'lxml')
 # Get the data
 json_data = json.loads(soup.find('div', {'id': 'data'}).attrs['data-colorschemes'])
 # Download the files
 for data in json_data['colorschemes']:
 file_name = data['name'] + '.vim'
 process = Process(target=self.download, args=(file_name, repo_formatter(data),))
 process.daemon = True
 process.start()
 print('\n\nAll done.')
colors_spider = Spider()
colors_spider.crawl()

Everything is working. I just wanted to know, is multiprocessing a good choice in this case?