前言

Python是個(gè)獲取數(shù)據(jù)的小能手，所以這次希望能用它在*乎爬取一些的問(wèn)題的回答數(shù)，練練手。

1.導(dǎo)入模塊

import re 
from bs4 import BeautifulSoup 
import requests 
import time 
import json 
import pandas as pd 
import numpy as np 

2.狀態(tài)碼

r = requests.get('https://github.com/explore') 
r.status_code 

3. 爬取*乎

#瀏覽器header和cookies 
headers = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.87 Safari/537.36'} 
cookies = {'cookie':'_zap=3d979dbb-f25b-4014-8770-89045dec48f6; d_c0="APDvML4koQ-PTqFU56egNZNd2wd-eileT3E=|1561292196"; tst=r; _ga=GA1.2.910277933.1582789012; q_c1=9a429b07b08a4ae1afe0a99386626304|1584073146000|1561373910000; _xsrf=bf1c5edf-75bd-4512-8319-02c650b7ad2c; _gid=GA1.2.1983259099.1586575835; l_n_c=1; l_cap_id="NDIxM2M4OWY4N2YwNDRjM2E3ODAxMDdmYmY2NGFiMTQ=|1586663749|ceda775ba80ff485b63943e0baf9968684237435"; r_cap_id="OWY3OGQ1MDJhMjFjNDBiYzk0MDMxMmVlZDIwNzU0NzU=|1586663749|0948d23c731a8fa985614d3ed58edb6405303e99"; cap_id="M2I5NmJkMzRjMjc3NGZjNDhiNzBmNDMyNDQ3NDlmNmE=|1586663749|dacf440ab7ad64214a939974e539f9b86ddb9eac"; n_c=1; Hm_lvt_98beee57fd2ef70ccdd5ca52b9740c49=1586585625,1586587735,1586667228,1586667292; Hm_lpvt_98beee57fd2ef70ccdd5ca52b9740c49=1586667292; SESSIONID=GWBltmMTwz5oFeBTjRm4Akv8pFF6p8Y6qWkgUP4tjp6; JOID=UVkSBEJI6EKgHAipMkwAEWAkvEomDbkAwmJn4mY1kHHPVGfpYMxO3voUDK88UO62JqgwW5Up4hC2kX_KGO9xoKI=; osd=UlEXAU5L4EelEAuhN0kMEmghuUYlBbwFzmFv52M5k3nKUWvqaMlL0vkcCaowU-azI6QzU5As7hO-lHrGG-d0pa4=; capsion_ticket="2|1:0|10:1586667673|14:capsion_ticket|44:YTJkYmIyN2Q4YWI4NDI0Mzk0NjQ1YmIwYmUxZGYyNzY=|b49eb8176314b73e0ade9f19dae4b463fb970c8cbd1e6a07a6a0e535c0ab8ac3"; z_c0="2|1:0|10:1586667694|4:z_c0|92:Mi4xOGc1X0dnQUFBQUFBOE84d3ZpU2hEeVlBQUFCZ0FsVk5ydTVfWHdDazlHMVM1eFU5QjlqamJxWVhvZ2xuWlhTaVJ3|bcd3601ae34951fe72fd3ffa359bcb4acd60462715edcd1e6c4e99776f9543b3"; unlock_ticket="AMCRYboJGhEmAAAAYAJVTbankl4i-Y7Pzkta0e4momKdPG3NRc6GUQ=="; KLBRSID=fb3eda1aa35a9ed9f88f346a7a3ebe83|1586667697|1586660346'} 
 
start_url = 'https://www.zhihu.com/api/v3/feed/topstory/recommend?session_token=c03069ed8f250472b687fd1ee704dd5b&desktop=true&page_number=5&limit=6&action=pull&ad_interval=-1&before_id=23' 

4. beautifulsoup解析

s = requests.Session() 
start_url = 'https://www.zhihu.com/' 
html = s.get(url = start_url, headers = headers,cookies = cookies,timeout = 5) 
soup = BeautifulSoup(html.content) 
 
question = [] ## 名稱 
question_address = [] ## url 
 
temp1 = soup.find_all('div',class_='Card TopstoryItem TopstoryItem-isRecommend') 
for item in temp1: 
    temp2 = item.find_all('div',itemprop="zhihu:question") 
#     print(temp2) 
    if temp2 != []: #### 存在專欄等情況,暫時(shí)跳過(guò) 
        question_address.append(temp2[0].find('meta',itemprop='url').get('content')) 
        question.append(temp2[0].find('meta',itemprop='name').get('content')) 

5. 存儲(chǔ)信息

question_focus_number = [] #關(guān)注量 
question_answer_number = [] # 回答量 
for url in question_address: 
    test = s.get(url = url,headers = headers,cookies = cookies,timeout = 5) 
    soup = BeautifulSoup(test.content) 
    info = soup.find_all('div',class_='QuestionPage')[0] 
#     print(info) 
    focus_number = info.find('meta',itemprop="answerCount").get('content') 
    answer_number = info.find('meta',itemprop="zhihu:followerCount").get('content') 
    question_focus_number.append(focus_number) 
    question_answer_number.append(answer_number) 

6. 整理信息并輸出

question_info = pd.DataFrame(list(zip(question,question_focus_number,question_answer_number)),columns = ['問(wèn)題名稱','關(guān)注人數(shù)','回答人數(shù)'] 
for item in ['關(guān)注人數(shù)','回答人數(shù)']: 
    question_info[item] = np.array(question_info[item],dtype = 'int') 
question_info.sort_values(by='關(guān)注人數(shù)',ascending = False) 

輸出：

7. 總計(jì):

簡(jiǎn)單的爬取并不難，但涉及到賬戶密碼等，就需要注意了。爬取數(shù)據(jù)盡量不要給人家服務(wù)器造成負(fù)擔(dān)(比如：把睡眠時(shí)間加長(zhǎng));不要把爬取的數(shù)據(jù)用于商業(yè)行為;不管技術(shù)有多牛，不要輕易觸碰用戶隱私數(shù)據(jù)。合理、合法、有節(jié)制的利用爬蟲技術(shù)，要不可能給自己帶來(lái)不必要的麻煩。