Python爬取微博评论实战：从接口分析到代码实现
发布时间：2026-10-15| 5人浏览过
本文详细讲解使用Python爬取微博评论的完整流程。内容涵盖微博爬虫的难度分级、接口URL构造、HTML标签去除及正则表达式应用，并提供了基于requests和pandas的两种代码实例，帮助开发者掌握从确定用户ID到保存CSV文件的实际操作步骤。
掌握Python爬虫技术是程序员的必备技能，而微博常作为练手的首选目标。由于微博数据存在于不同媒介，爬取难度各不相同，无论是初学者还是资深开发者，都可以通过此案例进行实践。本文将通过具体代码实例，介绍如何爬取微博评论。
一、微博爬虫概述
与爬取QQ空间类似，微博爬虫可以获取用户的个人信息、微博内容、粉丝列表、关注列表以及评论数据等。
在良好的网络环境下，爬虫抓取微博的速度可达每天1300万条以上，具体效率取决于网络状况。
不同端口的爬取难度排序为：网页端 > 手机端 > 移动端。其中，移动端（Mobile Web）是相对最容易爬取的目标。
二、Python爬取微博评论实战
第一步：确定目标评论用户的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：定位相关的HTML标签结构。
tags = re.compile('</?\w+[^>]*>')第三步：编写提取评论内容的函数。
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残留的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：执行爬取操作并保存数据。
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()
至此，关于Python爬取微博评论的实例讲解已完成。如需了解更多相关爬虫内容，请查阅本站历史文章或继续浏览后续教程，感谢支持。
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