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
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# -*- 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 '}
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第二步:找到html标签
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tags = re. compile ( '</?\w+[^>]*>' )
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第三步:设置提取评论function
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def get_comment(url):
j = requests.get(url, headers = headers).json()
comment_data = j[ 'data' ][ 'data' ]
for data in comment_data:
try :
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第四步:利用正则表达式去除文本中的html标签
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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)
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第五步:爬取评论
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df = pd.DataFrame({ 'ID' : ids, '评论' : comments})
df = df.drop_duplicates()
df.to_csv( '观察者网.csv' , index = False , encoding = 'gb18030' )
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实例扩展:
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# -*- 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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