Python爬取51cto数据并存入MySQL方法详解

Python爬取51cto数据并存入MySQL方法详解,第1张

概述Python爬取51cto数据并存入MySQL方法详解

【相关学习推荐:python教程】

实验环境

1.安装Python 3.7

2.安装requests, bs4,pyMysqL 模块

实验步骤1.安装环境及模块

可参考https://www.jb51.net/article/194104.htm

2.编写代码

# 51cto 博客页面数据插入MysqL数据库# 导入模块import reimport bs4import pyMysqLimport requests# 连接数据库账号密码db = pyMysqL.connect(host='172.171.13.229',           user='root', passwd='abc123',           db='test', port=3306,           charset='utf8')# 获取游标cursor = db.cursor()def open_url(url):  # 连接模拟网页访问  headers = {    'user-agent': 'Mozilla/5.0 (windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) '           'Chrome/57.0.2987.98 Safari/537.36'}  res = requests.get(url, headers=headers)  return res# 爬取网页内容def find_text(res):  soup = bs4.BeautifulSoup(res.text, 'HTML.parser')  # 博客名  Titles = []  targets = soup.find_all("a", class_="tit")  for each in targets:    each = each.text.strip()    if "置顶" in each:      each = each.split(' ')[0]    Titles.append(each)  # 阅读量  reads = []  read1 = soup.find_all("p", class_="read fl on")  read2 = soup.find_all("p", class_="read fl")  for each in read1:    reads.append(each.text)  for each in read2:    reads.append(each.text)  # 评论数  comment = []  targets = soup.find_all("p", class_='comment fl')  for each in targets:    comment.append(each.text)  # 收藏  collects = []  targets = soup.find_all("p", class_='collect fl')  for each in targets:    collects.append(each.text)   # 发布时间  dates=[]  targets = soup.find_all("a", class_='time fl')  for each in targets:    each = each.text.split(':')[1]    dates.append(each)  # 插入sql 语句  sql = """insert into blog (blog_Title,read_number,comment_number, collect, dates)  values( '%s', '%s', '%s', '%s', '%s');"""  # 替换页面 \xa0  for Titles, reads, comment, collects, dates in zip(Titles, reads, comment, collects, dates):    reads = re.sub('\s', '', reads)    comment = re.sub('\s', '', comment)    collects = re.sub('\s', '', collects)    cursor.execute(sql % (Titles, reads, comment, collects,dates))    db.commit()    pass# 统计总页数def find_depth(res):  soup = bs4.BeautifulSoup(res.text, 'HTML.parser')  depth = soup.find('li', class_='next').prevIoUs_sibling.prevIoUs_sibling.text  return int(depth)# 主函数def main():  host = "https://blog.51cto.com/13760351"  res = open_url(host) # 打开首页链接  depth = find_depth(res) # 获取总页数  # 爬取其他页面信息  for i in range(1, depth + 1):    url = host + '/p' + str(i) # 完整链接    res = open_url(url) # 打开其他链接    find_text(res) # 爬取数据  # 关闭游标  cursor.close()  # 关闭数据库连接  db.close()if __name__ == '__main__':  main()

3..MysqL创建对应的表

CREATE table `blog` ( `row_ID` int(11) NOT NulL auto_INCREMENT COMMENT '主键', `blog_Title` varchar(52) DEFAulT NulL COMMENT '博客标题', `read_number` varchar(26) DEFAulT NulL COMMENT '阅读数量', `comment_number` varchar(16) DEFAulT NulL COMMENT '评论数量', `collect` varchar(16) DEFAulT NulL COMMENT '收藏数量', `dates` varchar(16) DEFAulT NulL COMMENT '发布日期', PRIMARY KEY (`row_ID`)) ENGINE=InnoDB auto_INCREMENT=1 DEFAulT CHARSET=utf8;

4.运行代码,查看效果:

改进版:

改进内容:

1.数据库里面的某些字段只保留数字即可

2.默认爬取的内容都是字符串,存放数据库的某些字段,最好改为整型,方便后面数据库 *** 作

1.代码如下:

import reimport bs4import pyMysqLimport requests# 连接数据库db = pyMysqL.connect(host='172.171.13.229',           user='root', passwd='abc123',           db='test', port=3306,           charset='utf8')# 获取游标cursor = db.cursor()def open_url(url):  # 连接模拟网页访问  headers = {    'user-agent': 'Mozilla/5.0 (windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) '           'Chrome/57.0.2987.98 Safari/537.36'}  res = requests.get(url, headers=headers)  return res# 爬取网页内容def find_text(res):  soup = bs4.BeautifulSoup(res.text, 'HTML.parser')  # 博客标题  Titles = []  targets = soup.find_all("a", class_="tit")  for each in targets:    each = each.text.strip()    if "置顶" in each:      each = each.split(' ')[0]    Titles.append(each)  # 阅读量  reads = []  read1 = soup.find_all("p", class_="read fl on")  read2 = soup.find_all("p", class_="read fl")  for each in read1:    reads.append(each.text)  for each in read2:    reads.append(each.text)  # 评论数  comment = []  targets = soup.find_all("p", class_='comment fl')  for each in targets:    comment.append(each.text)  # 收藏  collects = []  targets = soup.find_all("p", class_='collect fl')  for each in targets:    collects.append(each.text)  # 发布时间  dates=[]  targets = soup.find_all("a", class_='time fl')  for each in targets:    each = each.text.split(':')[1]    dates.append(each)  # 插入sql 语句  sql = """insert into blogs (blog_Title,read_number,comment_number, collect, dates)  values( '%s', '%s', '%s', '%s', '%s');"""  # 替换页面 \xa0  for Titles, reads, comment, collects, dates in zip(Titles, reads, comment, collects, dates):    reads = re.sub('\s', '', reads)    reads=int(re.sub('\D', "", reads)) #匹配数字,转换为整型    comment = re.sub('\s', '', comment)    comment = int(re.sub('\D', "", comment)) #匹配数字,转换为整型    collects = re.sub('\s', '', collects)    collects = int(re.sub('\D', "", collects)) #匹配数字,转换为整型    dates = re.sub('\s', '', dates)    cursor.execute(sql % (Titles, reads, comment, collects,dates))    db.commit()    pass# 统计总页数def find_depth(res):  soup = bs4.BeautifulSoup(res.text, 'HTML.parser')  depth = soup.find('li', class_='next').prevIoUs_sibling.prevIoUs_sibling.text  return int(depth)# 主函数def main():  host = "https://blog.51cto.com/13760351"  res = open_url(host) # 打开首页链接  depth = find_depth(res) # 获取总页数  # 爬取其他页面信息  for i in range(1, depth + 1):    url = host + '/p' + str(i) # 完整链接    res = open_url(url) # 打开其他链接    find_text(res) # 爬取数据  # 关闭游标  cursor.close()  # 关闭数据库连接  db.close()#主程序入口if __name__ == '__main__':  main()

2.创建对应表

CREATE table `blogs` ( `row_ID` int(11) NOT NulL auto_INCREMENT COMMENT '主键', `blog_Title` varchar(52) DEFAulT NulL COMMENT '博客标题', `read_number` int(26) DEFAulT NulL COMMENT '阅读数量', `comment_number` int(16) DEFAulT NulL COMMENT '评论数量', `collect` int(16) DEFAulT NulL COMMENT '收藏数量', `dates` varchar(16) DEFAulT NulL COMMENT '发布日期', PRIMARY KEY (`row_ID`)) ENGINE=InnoDB auto_INCREMENT=1 DEFAulT CHARSET=utf8;

3.运行代码,验证

升级版

为了能让小白就可以使用这个程序,可以把这个项目打包成exe格式的文件,让其他人,使用电脑就可以运行代码,这样非常方便!

1.改进代码:

#末尾修改为:if __name__ == '__main__':  main()  print("\n\t\t所有数据已成功存放数据库!!! \n")  time.sleep(5)

2.安装打包模块pyinstaller(cmd安装)

pip install pyinstaller -i https://pypi.tuna.tsinghua.edu.cn/simple/

3.Python代码打包

1.切换到需要打包代码的路径下面

2.在cmd窗口运行 pyinstaller -F test03.py (test03为项目名称)

4.查看exe包

在打包后会出现dist目录,打好包就在这个目录里面

5.运行exe包,查看效果

检查数据库

相关学习推荐:mysql教程

总结

以上是内存溢出为你收集整理的Python爬取51cto数据并存入MySQL方法详解全部内容,希望文章能够帮你解决Python爬取51cto数据并存入MySQL方法详解所遇到的程序开发问题。

如果觉得内存溢出网站内容还不错,欢迎将内存溢出网站推荐给程序员好友。

欢迎分享,转载请注明来源:内存溢出

原文地址: https://outofmemory.cn/langs/1184171.html

(0)
打赏 微信扫一扫 微信扫一扫 支付宝扫一扫 支付宝扫一扫
上一篇 2022-06-03
下一篇 2022-06-03

发表评论

登录后才能评论

评论列表(0条)

保存