Python print scrapy spider crawl tree structure method _python

Source: Internet
Author: User

This article is an example of how Python prints the Scrapy spider crawl tree structure. Share to everyone for your reference. Specifically as follows:

The following code can be understood at a Glance scrapy crawl page structure, the call is very simple

#!/usr/bin/env python
import fileinput, re from
collections import defaultdict
def print_urls (Allurls, Referer, indent=0):
  urls = allurls[referer] for
  URL in URLs:
    print ' *indent + referer
    if URL in allurls:
      print_urls (allurls, URL, indent+2)
def main ():
  log_re = Re.compile (R ' <get (. *?) > (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 ()

I hope this article will help you with your Python programming.

Related Article

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.