python爬虫是程序员们一定会掌握的知识，练习python爬虫时，很多人会选择爬取微博练手。python爬虫微博根据微博存在于不同媒介上，所爬取的难度有差异，无论是python新入手的小白，还是已经熟练掌握的程序员，可以拿来练手。本文介绍python爬取微博评论的代码实例。

一、爬虫微博

与QQ空间爬虫类似，可以爬取新浪微博用户的个人信息、微博信息、粉丝、关注和评论等。

爬虫抓取微博的速度可以达到 1300万/天 以上，具体要视网络情况。

难度程度排序：网页端>手机端>移动端。微博端就是最好爬的微博端。

二、python爬虫爬取微博评论

第一步：确定评论用户的id

# -*- coding:utf-8 -*-

import requests

import re

import time

import pandas as pd

urls = 'https://m.weibo.cn/api/comments/show?id=4073157046629802&page={}'

headers = {'Cookies':'Your cookies',

'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6)

AppleWebKit/537.36 (KHTML, like Gecko) Chrome/66.0.3359.181 Safari/537.36'}

第二步：找到html标签

tags = re.compile('?\w+[^>]*>')

第三步：设置提取评论function

def get_comment(url):

j = requests.get(url, headers=headers).json()

comment_data = j['data']['data']

for data in comment_data:

try:

第四步：利用正则表达式去除文本中的html标签

comment = tags.sub('', data['text']) # 去掉html标签

reply = tags.sub('', data['reply_text'])

weibo_id = data['id']

reply_id = data['reply_id']

comments.append(comment)

comments.append(reply)

ids.append(weibo_id)

ids.append(reply_id)

第五步：爬取评论

df = pd.DataFrame({'ID': ids, '评论': comments})

df = df.drop_duplicates()

df.to_csv('观察者网.csv', index=False, encoding='gb18030')

实例扩展：

# -*- coding: utf-8 -*-

# Created : 2018/8/26 18:33

# author ：GuoLi

import requests

import json

import time

from lxml import etree

import html

import re

from bs4 import BeautifulSoup

class Weibospider:

def __init__(self):

# 获取首页的相关信息：

self.start_url = 'https://weibo.com/u/5644764907?page=1&is_all=1'

self.headers = {

"accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",

"accept-encoding": "gzip, deflate, br",

"accept-language": "zh-CN,zh;q=0.9,en;q=0.8",

"cache-control": "max-age=0",

"cookie": 使用自己本机的cookie,

"referer": "https://www.weibo.com/u/5644764907?topnav=1&wvr=6&topsug=1",

"upgrade-insecure-requests": "1",

"user-agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.96 Safari/537.36",

}

self.proxy = {

'HTTP': 'HTTP://180.125.70.78:9999',

'HTTP': 'HTTP://117.90.4.230:9999',

'HTTP': 'HTTP://111.77.196.229:9999',

'HTTP': 'HTTP://111.177.183.57:9999',

'HTTP': 'HTTP://123.55.98.146:9999',

}

def parse_home_url(self, url): # 处理解析首页面的详细信息(不包括两个通过ajax获取到的页面)

res = requests.get(url, headers=self.headers)

response = res.content.decode().replace("\\", "")

# every_url = re.compile('target="_blank" href="(/\d+/\w+\?from=\w+&wvr=6&mod=weibotime)" rel="external nofollow" ', re.S).findall(response)

every_id = re.compile('name=(\d+)', re.S).findall(response) # 获取次级页面需要的id

home_url = []

for id in every_id:

base_url = 'https://weibo.com/aj/v6/comment/big?ajwvr=6&id={}&from=singleWeiBo'

url = base_url.format(id)

home_url.append(url)

return home_url

def parse_comment_info(self, url): # 爬取直接发表评论的人的相关信息(name,info,time,info_url)

res = requests.get(url, headers=self.headers)

response = res.json()

count = response['data']['count']

html = etree.HTML(response['data']['html'])

name = html.xpath("//div[@class='list_li S_line1 clearfix']/div[@class='WB_face W_fl']/a/img/@alt") # 评论人的姓名

info = html.xpath("//div[@node-type='replywrap']/div[@class='WB_text']/text()") # 评论信息

info = "".join(info).replace(" ", "").split("\n")

info.pop(0)

comment_time = html.xpath("//div[@class='WB_from S_txt2']/text()") # 评论时间

name_url = html.xpath("//div[@class='WB_face W_fl']/a/@href") # 评论人的url

name_url = ["https:" + i for i in name_url]

comment_info_list = []

for i in range(len(name)):

item = {}

item["name"] = name[i] # 存储评论人的网名

item["comment_info"] = info[i] # 存储评论的信息

item["comment_time"] = comment_time[i] # 存储评论时间

item["comment_url"] = name_url[i] # 存储评论人的相关主页

comment_info_list.append(item)

return count, comment_info_list

def write_file(self, path_name, content_list):

for content in content_list:

with open(path_name, "a", encoding="UTF-8") as f:

f.write(json.dumps(content, ensure_ascii=False))

f.write("\n")

def run(self):

start_url = 'https://weibo.com/u/5644764907?page={}&is_all=1'

start_ajax_url1 = 'https://weibo.com/p/aj/v6/mblog/mbloglist?ajwvr=6&domain=100406&is_all=1&page={0}&pagebar=0&pl_name=Pl_Official_MyProfileFeed__20&id=1004065644764907&script_uri=/u/5644764907&pre_page={0}'

start_ajax_url2 = 'https://weibo.com/p/aj/v6/mblog/mbloglist?ajwvr=6&domain=100406&is_all=1&page={0}&pagebar=1&pl_name=Pl_Official_MyProfileFeed__20&id=1004065644764907&script_uri=/u/5644764907&pre_page={0}'

for i in range(12): # 微博共有12页

home_url = self.parse_home_url(start_url.format(i + 1)) # 获取每一页的微博

ajax_url1 = self.parse_home_url(start_ajax_url1.format(i + 1)) # ajax加载页面的微博

ajax_url2 = self.parse_home_url(start_ajax_url2.format(i + 1)) # ajax第二页加载页面的微博

all_url = home_url + ajax_url1 + ajax_url2

for j in range(len(all_url)):

print(all_url[j])

path_name = "第{}条微博相关评论.txt".format(i * 45 + j + 1)

all_count, comment_info_list = self.parse_comment_info(all_url[j])

self.write_file(path_name, comment_info_list)

for num in range(1, 10000):

if num * 15 < int(all_count) + 15:

comment_url = all_url[j] + "&page={}".format(num + 1)

print(comment_url)

try:

count, comment_info_list = self.parse_comment_info(comment_url)

self.write_file(path_name, comment_info_list)

except Exception as e:

print("Error:", e)

time.sleep(60)

count, comment_info_list = self.parse_comment_info(comment_url)

self.write_file(path_name, comment_info_list)

del count

time.sleep(0.2)

print("第{}微博信息获取完成！".format(i * 45 + j + 1))

if __name__ == '__main__':

weibo = Weibospider()

weibo.run()

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