python爬虫实战-小说爬取

python爬虫实战-小说爬取

基本思路

• 主要内容分为三个部分
  1. 使用requests模块获取网页内容
  2. 使用lxml模块进行网页解析
  3. 将解析出来的数据存储进MySQL数据库中

1. 获取网页内容

   • 网站分析

     获取各个分类的href标签

   • 代码如下

         def novel_sort_link(self):
             novel_website = requests.get(self.url).text
             # print(novel_website)
             novel_classification_link = etree.HTML(novel_website)
             novel_classification = novel_classification_link.xpath(
                 '/html/body/div[1]/div[2]/div[2]/div/div/div[1]/div/ul/li/a')
             classification_href_list = list()
             for classification in set(novel_classification):
                 href = self.url + classification.xpath('./@href')[0].replace('/category/', '')
                 classification_href_list.append(href)
             return classification_href_list

2. 解析数据

   • 获取书名、作者、状态、热度、简介等数据

   • 代码如下：

         def analysis(self, classification_url_link):
             for classification_url in classification_url_link:
                 # print(classification_url)
                 for num in range(1, 51):
                     url = classification_url.replace(classification_url[-1], str(num))
                     novel_response_text = requests.get(url).text
                     # print(novel_response_text)
                     novel_response_html = etree.HTML(novel_response_text)
                     novel_response = novel_response_html.xpath('/html/body/div[1]/div[2]/div[3]/div[2]/div[1]/ul/li')
                     for novel in novel_response:
                         novel_dict = dict()
                         novel_dict['novel_name'] = novel.xpath('./div[2]/h3/a/@title')[0]
                         novel_dict['author'] = novel.xpath('./div[2]/h4/a/text()')[0]
                         novel_dict['classify'] = novel.xpath('./div[2]/p[1]/span[1]/text()')[0]
                         novel_dict['state'] = novel.xpath('./div[2]/p[1]/span[2]/text()')[0]
                         novel_dict['number'] = novel.xpath('./div[2]/p[1]/span[3]/text()')[0]
                         novel_dict['synopsis'] = novel.xpath('./div[2]/p[2]/text()')[0].replace('\r\n', '').replace(' ', '')
                         # print(novel_dict)

3. 将数据存储进数据库中

   • 调用将数据存储进mysql数据库的类

     MySQL().main(table_name='hongxiu_novel', data=novel_dict)

   • 连接数据库

      def connect_to_database(self):
             """连接到MySQL数据库"""
             self.connection = pymysql.connect(
                 host='localhost',
                 user='root',
                 password='password',
                 database='reptile_text',
                 port=3306
             )
     
         def disconnect_from_database(self):
             """断开与MySQL数据库的连接"""
             if self.connection:
                 self.connection.close()

   • 判断数据表是否存在

         def table_exists(self, table_name):
             """检查数据表是否存在"""
             self.connect_to_database()
             cursor = self.connection.cursor()
             cursor.execute("SHOW TABLES LIKE '{}'".format(table_name))
             result = cursor.fetchone()
             cursor.close()
             self.disconnect_from_database()
             if result:
                 return True
             else:
                 return False

   • 数据表不存在则根据提供的数据字典键来进行创建新数据表

         def create_table(self, table_name, data):
             """创建包含文本列的数据表"""
             self.connect_to_database()
             cursor = self.connection.cursor()
     
             columns = []
             for key, value in data.items():
                 column_type = 'TEXT'
                 columns.append(f'{key} {column_type}')
     
             create_table_sql = f"CREATE TABLE IF NOT EXISTS {table_name} ({', '.join(set(columns))})"
             cursor.execute(create_table_sql)
             print('数据表创建成功')
     
             cursor.close()
             self.disconnect_from_database()

   • 将数据插入进数据库中

         def insert_data(self, table_name, data):
             """在表中插入数据"""
             self.connect_to_database()
             cursor = self.connection.cursor()
             keys = ', '.join(data.keys())
             values = ', '.join([f"'{value}'" for value in data.values()])
             one_key = list(data.keys())[0]
             select_sql = f"SELECT * FROM {table_name} WHERE {one_key} ='{data[one_key]}'"
             cursor.execute(select_sql)
             result = cursor.fetchone()
     
             if result:
                 print(f"数据已存在: {data}")
             else:
                 insert_sql = f"INSERT INTO {table_name} ({keys}) VALUES ({values})"
                 cursor.execute(insert_sql)
                 print(f"插入数据: {data}")

   领取源码

完整代码

1. hongxiu_novel.py完整代码

   # coding:utf-8
   import requests
   from lxml import etree
   from reptile_text.mysql_data import MySQL
   
   
   class HongXiu(object):
       def __init__(self):
           self.url = 'https://www.hongxiu.com/category/'
   
       def novel_sort_link(self):
           novel_website = requests.get(self.url).text
           # print(novel_website)
           novel_classification_link = etree.HTML(novel_website)
           novel_classification = novel_classification_link.xpath(
               '/html/body/div[1]/div[2]/div[2]/div/div/div[1]/div/ul/li/a')
           classification_href_list = list()
           for classification in set(novel_classification):
               href = self.url + classification.xpath('./@href')[0].replace('/category/', '')
               classification_href_list.append(href)
           return classification_href_list
   
       def analysis(self, classification_url_link):
           for classification_url in classification_url_link:
               # print(classification_url)
               for num in range(1, 51):
                   url = classification_url.replace(classification_url[-1], str(num))
                   novel_response_text = requests.get(url).text
                   # print(novel_response_text)
                   novel_response_html = etree.HTML(novel_response_text)
                   novel_response = novel_response_html.xpath('/html/body/div[1]/div[2]/div[3]/div[2]/div[1]/ul/li')
                   for novel in novel_response:
                       novel_dict = dict()
                       novel_dict['novel_name'] = novel.xpath('./div[2]/h3/a/@title')[0]
                       novel_dict['author'] = novel.xpath('./div[2]/h4/a/text()')[0]
                       novel_dict['classify'] = novel.xpath('./div[2]/p[1]/span[1]/text()')[0]
                       novel_dict['state'] = novel.xpath('./div[2]/p[1]/span[2]/text()')[0]
                       novel_dict['number'] = novel.xpath('./div[2]/p[1]/span[3]/text()')[0]
                       novel_dict['synopsis'] = novel.xpath('./div[2]/p[2]/text()')[0].replace('\r\n', '').replace(' ', '')
                       # print(novel_dict)
                       MySQL().main(table_name='hongxiu_novel', data=novel_dict)
   
       def main(self):
           classification_url_link = self.novel_sort_link()
           self.analysis(classification_url_link)
   
   
   if __name__ == '__main__':
       HongXiu().main()

2. mysql_data.py完整代码

   # -*- coding:utf-8 -*-
   import pymysql
   
   
   class MySQL(object):
       def __init__(self):
           self.connection = None
   
       def connect_to_database(self):
       """连接到MySQL数据库"""
           self.connection = pymysql.connect(
               host='localhost',
               user='root',
               password='password',
               database='reptile_text',
               port=3306
           )
   
       def disconnect_from_database(self):
           """断开与MySQL数据库的连接"""
           if self.connection:
               self.connection.close()
   
       def create_table(self, table_name, data):
           """创建包含文本列的数据表"""
           self.connect_to_database()
           cursor = self.connection.cursor()
   
           columns = []
           for key, value in data.items():
               column_type = 'TEXT'
               columns.append(f'{key} {column_type}')
   
           create_table_sql = f"CREATE TABLE IF NOT EXISTS {table_name} ({', '.join(set(columns))})"
           cursor.execute(create_table_sql)
           print('数据表创建成功')
   
           cursor.close()
           self.disconnect_from_database()
   
       def table_exists(self, table_name):
           """检查数据表是否存在"""
           self.connect_to_database()
           cursor = self.connection.cursor()
           cursor.execute("SHOW TABLES LIKE '{}'".format(table_name))
           result = cursor.fetchone()
           cursor.close()
           self.disconnect_from_database()
           if result:
               return True
           else:
               return False
   
       def insert_data(self, table_name, data):
           """在表中插入数据"""
           self.connect_to_database()
           cursor = self.connection.cursor()
           keys = ', '.join(data.keys())
           values = ', '.join([f"'{value}'" for value in data.values()])
           one_key = list(data.keys())[0]
           select_sql = f"SELECT * FROM {table_name} WHERE {one_key} ='{data[one_key]}'"
           cursor.execute(select_sql)
           result = cursor.fetchone()
   
           if result:
               print(f"数据已存在: {data}")
           else:
               insert_sql = f"INSERT INTO {table_name} ({keys}) VALUES ({values})"
               cursor.execute(insert_sql)
               print(f"插入数据: {data}")
   
           self.connection.commit()
           cursor.close()
           self.disconnect_from_database()
   
       def main(self, table_name, data):
           if self.table_exists(table_name):
               print('数据表已存在')
               self.insert_data(table_name, data)
           else:
               print('数据表不存在')
               self.create_table(table_name, data)
               self.insert_data(table_name, data)

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