Sao operation! Once loved! Using Python to clean up invalid websites in favorites

Keywords: Python encoding Google


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Author: Xiaozhan & Arbor

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Invalid bookmarks

When we visit the website every day, we often encounter something new (you know. jpg), so we silently click a collection or bookmark. However, when we face hundreds of bookmarks and favorites, we always have a headache

Especially yesterday's program design blog, which was still updated, hangs today and never updates. Or the vigorous movie website I saw yesterday, today is 404. There are so many invalid pages. Every time I open them, I know they are invalid, and they need to be deleted manually. Can this be the work of a programmer?

However, no matter Google browser or domestic browser, it can provide a backup service for favorites at most, which can only be started by Python.

Favorite file formats supported by Python

There is little support for favorites, mainly because they are hidden in the browser. We can only manually export the htm file for management

The content is relatively simple, and I don't know much about the front end. I can also clearly see the tree structure and internal logic. Fixed format URL fixed format page name fixed format

It's easy to think of regular matching, which has two substrings. Extract it and visit it one by one. If it fails, delete it and you will get the cleaned favorites.

Read favorites file

 1 path = "C:\\Users\\XU\\Desktop"
 2  3 fname = "bookmarks.html"
 4  5 os.chdir(path)
 6  7 bookmarks_f = open(fname, "r+" ,encoding='UTF-8')
 8  9 booklists = bookmarks_f.readlines()
10 11 bookmarks_f.close()

Because you are not familiar with the front end, the exported favorites can be divided into abstract parts

  • Structure code

  • Key code to save web bookmarks

We can't move the structure code, we need to keep it intact, but we need to extract the content and judge whether to keep or delete the key code to save the bookmark.

So here we use the readlines function to read each line and judge separately.

Regular matching

1 pattern = r'HREF="(.*?)" .*?>(.*?)</A>'
2 while len(booklists)>0:
3     bookmark = booklists.pop(0)
4     detail =, bookmark)

If it is a key code: the extracted substrings are in and

And if it's a structure code: detail == None

Access page

1 import requests
2 r = requests.get(,timeout=500)

There are four situations after coding attempts

  • r.status_code ==

  • r.status_code==404

  • R.status_code! = 404 & & can't access (it may be blocked crawler, it is recommended to keep it)

  • requests.exceptions.ConnectionError

Similar to Zhihu and Jianshu, they are basically anti climbing, so simple get can't be accessed effectively, the details are not worth much effort, just keep them directly. For error, just throw an exception with try, or the program will stop running.

After adding logic: (code can be dragged left and right)

 1 while len(booklists)>0:
 2     bookmark = booklists.pop(0)
 3     detail =, bookmark)
 4     if detail:
 5         #print( +"----"+
 6         try:
 7         #Visit
 8             r = requests.get(,timeout=500)
 9         #Add if available
10             if  r.status_code ==
11                 new_lists.append(bookmark)
12                 print( "ok------ Retain:"+"   "+
13             else:
14                 if(r.status_code==404):
15                     print("Inaccessible delete:"+"   "+ +'Error code '+str(r.status_code))
16                 else:
17                     print("Reserved for other reasons:"+"   "+ +'Error code '+str(r.status_code))
18                     new_lists.append(bookmark)
19         except:
20             print( "Inaccessible delete:"+"   "+
21             #new_lists.append(bookmark)
22     else:#No matching to structure statement
23         new_lists.append(bookmark)


Procedure implementation

Export htm

1 bookmarks_f = open('new_'+fname, "w+" ,encoding='UTF-8')
2 bookmarks_f.writelines(new_lists)
3 bookmarks_f.close()

Import browser

Apply to my browser


Posted by motofzr1000 on Wed, 04 Dec 2019 04:04:56 -0800