

【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 re
import bs4
import pymysql
import 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,方便后面数据库操作
1.代码如下:
import re
import bs4
import pymysql
import 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("
	所有数据已成功存放数据库!!! 
")
 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
