Python抓取搜狗微信文章并存储至MySQL实战
本文介绍如何使用Python编写爬虫程序,通过搜狗微信搜索接口抓取公众号文章标题、封面及正文内容,并利用pymysql库将数据持久化存储到MySQL数据库中。代码示例展示了数据库连接、数据去重检查及插入逻辑,供初学者参考学习。
Python抓取搜狗微信文章存入MySQL实战
对于刚开始学习Python的开发者而言,尝试抓取搜狗微信上的公众号文章并将其数据存入MySQL数据库是一个不错的实践项目。
首先需要设计好MySQL数据库中的表结构,用于存储抓取到的文章信息。


接下来是具体的Python实现代码,主要涉及网络请求、HTML解析以及数据库操作。
import requests
import json
import re
import pymysql
# 创建连接
conn = pymysql.connect(host='你的数据库地址', port=端口, user='用户名', passwd='密码', db='数据库名称', charset='utf8')
# 创建游标
cursor = conn.cursor()
cursor.execute("select * from hd_gzh")
effect_row = cursor.fetchall()
from bs4 import BeautifulSoup
socket.setdefaulttimeout(60)
count = 1
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:65.0) Gecko/20100101 Firefox/65.0'}
#阿布云ip代理暂时不用
# proxyHost = "http-cla.abuyun.com"
# proxyPort = "9030"
# # 代理隧道验证信息
# proxyUser = "H56761606429T7UC"
# proxyPass = "9168EB00C4167176"
# proxyMeta = "http://%(user)s:%(pass)s@%(host)s:%(port)s" % {
# "host" : proxyHost,
# "port" : proxyPort,
# "user" : proxyUser,
# "pass" : proxyPass,
# }
# proxies = {
# "http" : proxyMeta,
# "https" : proxyMeta,
# }
#查看是否已存在数据
def checkData(name):
sql = "select * from gzh_article where title = '%s'"
data = (name,)
count = cursor.execute(sql % data)
conn.commit()
if(count!=0):
return False
else:
return True
#插入数据
def insertData(title,picture,author,content):
sql = "insert into gzh_article (title,picture,author,content) values ('%s', '%s','%s', '%s')"
data = (title,picture,author,content)
cursor.execute(sql % data)
conn.commit()
print("插入一条数据")
return
for row in effect_row:
newsurl = 'https://weixin.sogou.com/weixin?type=1&s_from=input&query=' + row[1] + '&ie=utf8&_sug_=n&_sug_type_='
res = requests.get(newsurl,headers=headers)
res.encoding = 'utf-8'
soup = BeautifulSoup(res.text,'html.parser')
url = 'https://weixin.sogou.com' + soup.select('.tit a')[0]['href']
res2 = requests.get(url,headers=headers)
res2.encoding = 'utf-8'
soup2 = BeautifulSoup(res2.text,'html.parser')
pattern = re.compile(r"url \+= '(.*?)';", re.MULTILINE | re.DOTALL)
script = soup2.find("script")
url2 = pattern.search(script.text).group(1)
res3 = requests.get(url2,headers=headers)
res3.encoding = 'utf-8'
soup3 = BeautifulSoup(res3.text,'html.parser')
print()
pattern2 = re.compile(r"var msgList = (.*?);$", re.MULTILINE | re.DOTALL)
script2 = soup3.find("script", text=pattern2)
s2 = json.loads(pattern2.search(script2.text).group(1))
#等待10s
time.sleep(10)
for news in s2["list"]:
articleurl = "https://mp.weixin.qq.com"+news["app_msg_ext_info"]["content_url"]
articleurl = articleurl.replace('&','&')
res4 = requests.get(articleurl,headers=headers)
res4.encoding = 'utf-8'
soup4 = BeautifulSoup(res4.text,'html.parser')
if(checkData(news["app_msg_ext_info"]["title"])):
insertData(news["app_msg_ext_info"]["title"],news["app_msg_ext_info"]["cover"],news["app_msg_ext_info"]["author"],pymysql.escape_string(str(soup4)))
count += 1
#等待5s
time.sleep(10)
for news2 in news["app_msg_ext_info"]["multi_app_msg_item_list"]:
articleurl2 = "https://mp.weixin.qq.com"+news2["content_url"]
articleurl2 = articleurl2.replace('&','&')
res5 = requests.get(articleurl2,headers=headers)
res5.encoding = 'utf-8'
soup5 = BeautifulSoup(res5.text,'html.parser')
if(checkData(news2["title"])):
insertData(news2["title"],news2["cover"],news2["author"],pymysql.escape_string(str(soup5)))
count += 1
#等待10s
time.sleep(10)
cursor.close()
conn.close()
print("操作完成")
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