想必知乎这个网站大家都很熟悉吧，每天上午可能都会摸摸鱼来看看热榜上又有哪些热点。但是要是明目张胆的看网站时突然发现背后站着一个领导，那时可能就会很尴尬了，哈哈！
今天我就教大家如何快速而又优雅的获取知乎热榜上的信息，只需要30行代码即可完成。话不多说，咱们直接开始！
首先导入我们需要的Python库以及定义我们的headers,注意这里headers里面的cookie要替换为自己网站上的cookie值哦!
import requests
from bs4 import BeautifulSoup
import json
import re
headers = {'X-Requested-With': 'XMLHttpRequest','User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.149 Safari/537.36',
'cookie': ''} #cookie值替换为自己网站上的cookie值
之后来获取关于知乎热榜上的所有问题链接：
url = 'https://www.zhihu.com/hot'
res = requests.get(url, headers=headers)
soup = BeautifulSoup(res.text, 'html.parser')
all_a = soup.select('div.HotItem-content a')
最后对每个问题链接进行请求，并获取该问题下的所有回答：
for a in all_a:
link = a['href']
print(link + a['title'])
question_id = link.replace('https://www.zhihu.com/question/', '')
res2 = requests.get(link, headers=headers)
soup2 = BeautifulSoup(res2.text, 'html.parser')
counts_content = soup2.select('h4.List-headerText')[0].get_text()
counts_re = re.search('\d+\.?\d*', counts_content)
counts = int(counts_re.group())
print('共有{}个回答'.format(counts))
for i in range(0, counts, 20):
href = 'https://www.zhihu.com/api/v4/questions/{}/answers?include=data%5B%2A%5D.is_normal%2Cadmin_closed_comment%2Creward_info%2Cis_collapsed%2Cannotation_action%2Cannotation_detail%2Ccollapse_reason%2Cis_sticky%2Ccollapsed_by%2Csuggest_edit%2Ccomment_count%2Ccan_comment%2Ccontent%2Ceditable_content%2Cattachment%2Cvoteup_count%2Creshipment_settings%2Ccomment_permission%2Ccreated_time%2Cupdated_time%2Creview_info%2Crelevant_info%2Cquestion%2Cexcerpt%2Cis_labeled%2Cpaid_info%2Cpaid_info_content%2Crelationship.is_authorized%2Cis_author%2Cvoting%2Cis_thanked%2Cis_nothelp%2Cis_recognized%3Bdata%5B%2A%5D.mark_infos%5B%2A%5D.url%3Bdata%5B%2A%5D.author.follower_count%2Cbadge%5B%2A%5D.topics%3Bdata%5B%2A%5D.settings.table_of_content.enabled&limit=20&offset={}&platform=desktop&sort_by=default'.format(question_id, str(i))
print(href)
res3 = requests.get(href, headers=headers)
datas = json.loads(res3.text).get('data')
for data in datas:
content = data.get('content')
soup = BeautifulSoup(content, 'html.parser')
print(soup.text)
关于知乎热榜的抓取就完成啦，抓取结果大致如下，数量很多，这里只展示前面一部分：
image
怎么样，是不是还是挺简单的！当然如果你还想获取其它信息的话也可以针对程序进行修改来获取你想要的信息，我们要学会举一反三。
完整程序如下：
import requests
from bs4 import BeautifulSoup
import json
import re
headers = {'X-Requested-With': 'XMLHttpRequest','User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.149 Safari/537.36',
'cookie': ''} #cookie值替换为自己网站上的cookie值
url = 'https://www.zhihu.com/hot'
res = requests.get(url, headers=headers)
soup = BeautifulSoup(res.text, 'html.parser')
all_a = soup.select('div.HotItem-content a')
for a in all_a:
link = a['href']
print(link + a['title'])
question_id = link.replace('https://www.zhihu.com/question/', '')
res2 = requests.get(link, headers=headers)
soup2 = BeautifulSoup(res2.text, 'html.parser')
counts_content = soup2.select('h4.List-headerText')[0].get_text()
counts_re = re.search('\d+\.?\d*', counts_content)
counts = int(counts_re.group())
print('共有{}个回答'.format(counts))
for i in range(0, counts, 20):
href = 'https://www.zhihu.com/api/v4/questions/{}/answers?include=data%5B%2A%5D.is_normal%2Cadmin_closed_comment%2Creward_info%2Cis_collapsed%2Cannotation_action%2Cannotation_detail%2Ccollapse_reason%2Cis_sticky%2Ccollapsed_by%2Csuggest_edit%2Ccomment_count%2Ccan_comment%2Ccontent%2Ceditable_content%2Cattachment%2Cvoteup_count%2Creshipment_settings%2Ccomment_permission%2Ccreated_time%2Cupdated_time%2Creview_info%2Crelevant_info%2Cquestion%2Cexcerpt%2Cis_labeled%2Cpaid_info%2Cpaid_info_content%2Crelationship.is_authorized%2Cis_author%2Cvoting%2Cis_thanked%2Cis_nothelp%2Cis_recognized%3Bdata%5B%2A%5D.mark_infos%5B%2A%5D.url%3Bdata%5B%2A%5D.author.follower_count%2Cbadge%5B%2A%5D.topics%3Bdata%5B%2A%5D.settings.table_of_content.enabled&limit=20&offset={}&platform=desktop&sort_by=default'.format(question_id, str(i))
print(href)
res3 = requests.get(href, headers=headers)
datas = json.loads(res3.text).get('data')
for data in datas:
content = data.get('content')
soup = BeautifulSoup(content, 'html.parser')
print(soup.text)
