Extract All @Mentions from a Zhihu Page with Simple Scripts

Question: Which good programmers on Zhihu are worth following, especially those who write Python?

One answer provides a list of recommended Zhihu users (e.g., @钟莫兮, @珵cici, @隋柯西, …).

Another answer shares a JavaScript bookmarklet that extracts all @mentions on the current page:

javascript:var hashes = []; var list = $(".member_mention").get().filter(function (e) { var h = $(e).attr('data-hash'); if (hashes.indexOf(h) < 0) { hashes.push(h); return true } else { return false } }).sort(function (a, b) { var atext = $(a).text(), btext = $(b).text(); if (atext > btext) return 1; else if (atext < btext) return -1; return 0; }); var target = $($("#zh-question-detail")[0]).empty(); list.forEach(function (e) { target.append(e).append("<br />") }); void(0)

It can be run by pasting the code into the browser address bar (or console) to list the mentioned users.

A Python script is also provided to fetch the same information:

#coding=utf-8
import re
import urllib

def getCoder(url):
    page = urllib.urlopen(url)
    html = page.read()
    rule = r'<a data-hash=.*? href="(.*?)" class=.*?>@.*?</a>'
    coderList = re.findall(rule, html)
    for coderName in coderList:
        print coderName

getCoder("http://www.zhihu.com/question/22576739")

Additional advice explains why simply following programmers on Zhihu may not effectively improve coding skills, suggesting instead to browse “Python” topic highlights, read highly‑upvoted answers, and practice the learned methods.