Python print scrapy spider crawl Tree structure method

Source: Internet
Author: User
In this paper, we describe the method of Python to print scrapy spider tree structure. Share to everyone for your reference. Specific as follows:

Through the following code can be at a glance to know scrapy crawl page structure, call is very simple

#!/usr/bin/env pythonimport fileinput, refrom collections import Defaultdictdef print_urls (Allurls, Referer, indent=0):  URLs = allurls[referer] for  URL in URLs:    print "*indent + referer    if URL in allurls:      print_urls (All URLs, URLs, indent+2) def main ():  log_re = Re.compile (R '
 
 
  
   \ (referer: (. *?) \) ')  allurls = defaultdict (list)  for L in Fileinput.input ():    m = Log_re.search (l)    if m:      URL, ref = M.groups ()      allurls[ref] + = [url]  print_urls (allurls, ' None ') Main (
 )
 

Hopefully this article will help you with Python programming.

  • Contact Us

    The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

    If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

    A Free Trial That Lets You Build Big!

    Start building with 50+ products and up to 12 months usage for Elastic Compute Service

    • Sales Support

      1 on 1 presale consultation

    • After-Sales Support

      24/7 Technical Support 6 Free Tickets per Quarter Faster Response

    • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.