Python_微博热搜&保存数据库
本文章通过两种保存模式:csv文件、Mysql数据库
实现效果如图:
Mysql数据库
一、导入的模块
# 请求模块 import requests # 数据解析模块 import parsel # csv模块 import csv # 解析xpath数据 from lxml import etree # Mysql数据库 from pymysql import * # 获取当前时间 import datetime
二、请求数据及发送数据
抓取到这个包后要提取出cookie及user_agent.
# 请求网址
url = https://s.weibo.com/top/summary?cate=realtimehot
# 请求头伪装
headers = {
# 用户信息,常用于检测是否有登陆账号
cookie: SINAGLOBAL=7937404926931.249.1636464635344; UM_distinctid=17f2703fd68a04-0bab97066d76a7-b7a1b38-144000-17f2703fd69b9a; _s_tentry=www.google.com; Apache=7622137159879.738.1658974841979; ULV=1658974841984:18:1:1:7622137159879.738.1658974841979:1654582588849; login_sid_t=202fe80fe56d14cc0f16efb902e5ea28; cross_origin_proto=SSL; SCF=AkDb37fbylKlxUz0nDM7_r_svEEQmTEpkUnvdkGWHpo07aipJQEMqhirljndvz5wo6lbLvXIeS2eK0Tz2hjlqm4.; ariaDefaultTheme=undefined; ariaMouseten=null; ariaStatus=false; SUBP=0033WrSXqPxfM72wWs9jqgMF55529P9D9WWE-XFkVMDPj6Dil2V2rMDY5JpVF020SK-ce0.pShn7; webim_unReadCount=%7B%22time%22%3A1658980416385%2C%22dm_pub_total%22%3A0%2C%22chat_group_client%22%3A0%2C%22chat_group_notice%22%3A0%2C%22allcountNum%22%3A0%2C%22msgbox%22%3A0%7D; SUB=_2AkMVvq5QdcPxrARSnvsczmnqa4xH-jyma8emAn7uJhMyAxh87mwGqSVutBF-XFs_2PBC2NmYIWsqsFsk7X8raSk-; PC_TOKEN=71860c5fd4; UOR=www.google.com,weibo.com,www.google.com,
# 用户代理,表示浏览器基本身份标识
user-agent: Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/102.0.0.0 Safari/537.36
}
# 发送请求
response = requests.get(url=url, headers=headers)
三、解析数据
# 转数据类型 selector = parsel.Selector(response.text) # 第一次提取 css选择器 获取所有标签数据内容 trs = selector.css(#pl_top_realtimehot tbody tr)
四、提取数据
for tr in trs:
params =list()
rank = tr.css(.td-01::text).get()
title = tr.css(.td-02 a::text).get()
hot = tr.css(.td-02 span::text).get()
detail_url = https://s.weibo.com/+tr.css(.td-02 a::attr(href)).get()
detail_response = requests.get(url=detail_url,headers=headers)
page_text = detail_response.text
tree = etree.HTML(page_text)
content = tree.xpath(//*[@id="pl_feedlist_index"]/div[2]/div/p/text())
content=.join(content)
dit = {
排名: rank,
标题: title,
热度: hot,
内容: content,
爬取时间:datetime.datetime.now()
}
params.append(rank)
params.append(title)
params.append(hot)
params.append(content)
params.append(datetime.datetime.now())
五、保存数据
1、Mysql数据库存储
# 接上个for循环代码,将数据存储到Mysql库
try:
# 创建一个游标对象,进行数据库操作
cur = conn.cursor()
insersql = "insert into crawl_weibo(rank,title,hot,content,crawl_time) value(%s,%s,%s,%s,%s)ON DUPLICATE KEY UPDATE title=VALUES(title)"
cur.execute(insersql,tuple(params))
conn.commit()
except Exception as ex:
print(ex)
2、 csv文件存储
csv_writer.writerow(dit)
六、代码补充
Mysql
# 创建数据库连接
conn = connect(host=localhost, user=root, password=123456, database=article_spider,
port=3306,charset=utf8)
csv
# 创建csv文件 f = open(微博热搜.csv, mode=a, encoding=utf-8, newline=) # 配置文件 csv_writer = csv.DictWriter(f,fieldnames=[排名,标题,热度,内容,爬取时间]) # 写入表头 csv_writer.writeheader()
