使用scrapy爬取小说网站的所有小说内容，并且使用简易的flask框架显示所有书和章节与内容

一、爬小说
scrapy startproject demo
cd demo
scrapy genspider novel

设计mysql表结构如下：

1.存放书的表
create table novels_item(
novel_id int auto_increment primary key,
novel_name varchar(20));


2.存放章节和章节内容的表
create table novels(
chapter_id int primary key auto_increment,
novel_id int,
chapter_name varchar(50),
chapter_content text(50000),
foreign key (novel_id) references novels_item(novel_id));

在novel.py文件中做一下操作：

# -*- coding: utf-8 -*-
import scrapy
from demo.items import NocelContentItem
from selenium import webdriver

from demo.items import NovelItem


class NovelSpider(scrapy.Spider):
    name = 'novel'
    allowed_domains = ['jinyongwang.com']
    start_urls = ['http://www.jinyongwang.com/book/']
    baseurl = "http://www.jinyongwang.com"
    def start_requests(self):
        for url in self.start_urls:
            req=scrapy.Request(url,callback=self.novel)
            yield req

    def novel(self,response):
        allurls = []

        tags_li=response.xpath('//ul[@class="list"]/li/p/a/@href')
        #这个方法for循环是循环返回书
        # for li in tags_li:
        #     url=li.extract_first()
        #     # allurls.append(url)
        #     req=self.baseurl+url.strip()
        #     yield scrapy.Request(url=req,callback=self.novelName)
        #这里做测试，只抓取一本书
        url = tags_li.extract_first()
        req = self.baseurl + url.strip()
        #req是单本书的href路径
        yield scrapy.Request(url=req, callback=self.novelName)


    def novelName(self, response):
        """
        :param response: 单本书的信息页面，里面需要获取书的标题和该书章节
        :return: 返回打开的各个章节页面url，并带着返回一个item对象
        """
        #获取书名标签
        novel_name_tag=response.xpath('//h1[@class="title"]/span/text()')
        #提取书名
        novel_name=novel_name_tag.extract_first().strip()
        #获取所有章节标签
        tags_li=response.xpath('//ul[@class="mlist"]/li/a')

        """
        返回一本书的对象,这个对象继承NovelItem
        NovelItem包含的属性有：novel_name = scrapy.Field()
        """
        novelitem=NovelItem()
        novelitem["novel_name"]=novel_name
        yield novelitem

        #遍历所有章节
        for li in tags_li:
            """
            定义一个章节，字段如下：
            书名：novel_name=scrapy.Field()
            章节名：  chapter_name = scrapy.Field()
            章节内容：  chapter_content = scrapy.Field()
            """
            item = NocelContentItem()
            item["novel_name"]=novel_name
            href=li.xpath('./@href').extract_first().strip()
            item["chapter_name"]=li.xpath('./text()').extract_first().strip()
            #返回每个章节的url，并且返回一个章节的对象，还需要进一步打开网页获取里面具体内容
            yield scrapy.Request(url=self.baseurl+href,callback=self.content,meta={"item":item})

    def content(self,response):
        """
        :param response: 打开的章节页面
        :return: 返回一个item，即一个章节格式数据
        """
        #接收传递过来的章节对象
        item=response.meta.get("item")
        #获取章节内容
        chapter_content=response.xpath('//*[@id="vcon"]/p/text()').extract()
        content="\n".join(chapter_content)
        #存入章节内容的数据
        item["chapter_content"]=content
        #返回一个章节对象
        yield item

在setting中打开pipelines
piplelines.py文件中做如下操作：

# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import pymysql

from demo.items import NocelContentItem, NovelItem


class DemoPipeline(object):
    def open_spider(self,spider):
        print("打开爬虫",spider)
        self.connect=pymysql.Connect(host="127.0.0.1",port=3306,user="zx",password="123456",database="spider",charset='utf8')
        self.cursor=self.connect.cursor()

    def process_item(self, item, spider):

        #插入章节内容
        if isinstance(item,NocelContentItem):
            try:
                """
                "开始插入章节内容!!"
                id 要根据查找书的结果与书结合用
                chapter_name = scrapy.Field()   
                chapter_content = scrapy.Field()
                """
                #根据小说的名字匹配小说的id用于后面作为参数写入小说章节的novel_id字段
                find_novel_id_sql='select novel_id from novels_item where novel_name=%s;'
                self.cursor.execute(find_novel_id_sql, (item["novel_name"]))
                a=self.cursor.fetchone()
                item_id=a[0]
                #写入章节内容,只需要item["chapter_name"], item["chapter_content"]两个字段内容
                sql = 'insert into novels (novel_id,chapter_name ,chapter_content) values(%s,%s,%s);'
                self.cursor.execute(sql, (item_id, item["chapter_name"], item["chapter_content"]))
                self.connect.commit()
            except:
                self.connect.rollback()

        #插入一本小说
        elif isinstance(item,NovelItem):
            try:
                """
                开始插入书,只需要书名即可，书的id自动生成
                """
                sql = 'insert into novels_item (novel_name) values(%s);'
                self.cursor.execute(sql, (item["novel_name"]))
                self.connect.commit()
            except:
                self.connect.rollback()
    def close_spider(self,spider):
        print("关闭爬虫")
        self.cursor.close()
        self.connect.close()

items的设计如下：

class NocelContentItem(scrapy.Item)：
    novel_name=scrapy.Field()
    chapter_name = scrapy.Field()
    chapter_content = scrapy.Field()
class NovelItem(scrapy.Item):
    novel_name = scrapy.Field()

数据库中获取到所有的数据之后我利用flask做了简易的展示：
flask做了充分的架构，这里做了一个蓝本mainshow：

import pymysql
from flask import Blueprint, render_template, request

mainshow=Blueprint("mainshow",__name__)


@mainshow.route('/')
def index():
    connect = pymysql.Connect(port=3306, host="127.0.0.1", user="zx", password="123456", database="spider")
    cursor=connect.cursor()

    #获取所有小说
    find_all_novel="select * from novels_item"
    cursor.execute(find_all_novel)
    itemres=cursor.fetchall()

    #获取所有的章节
    find_all_chapter = "select * from novels order by novel_id,chapter_name"
    cursor.execute(find_all_chapter)
    novelres = cursor.fetchall()


    cursor.close()
    connect.close()
    return render_template('mainshow.html',itemres=itemres,novelres=novelres)

@mainshow.route('/novle/')
def ownpage(page):
    connect = pymysql.Connect(port=3306, host="127.0.0.1", user="zx", password="123456", database="spider")
    cursor = connect.cursor()

    #获取传入的章节id，找到章节内容
    find_novel_content = "select * from novels where chapter_id="+str(page)+" ;"
    cursor.execute(find_novel_content)
    novel_content=cursor.fetchone()

    #根据章节的novel_id字段找到小说的名字
    get_novel_name='select novel_name from novels_item where novel_id='+str(novel_content[1])+';'
    cursor.execute(get_novel_name)
    novel_name = cursor.fetchone()[0]

    cursor.close()
    connect.close()
    # 返回章节名和小说名
    return render_template('pageshow.html', res=novel_content,novel_name=novel_name)

mainshow页面如下:

{% extends 'common/base.html' %}

{% block pagecontent %}

    
---爬过来的小说---
    

    {% for res in itemres %}
        
{{ res.1 }}
        {% for chapter in novelres %}
            {% if chapter.1 == res.0 %}
                {{ chapter.2 }}       
                {% if loop.index %5 ==0 %}
                    

                {% endif %}
            {% endif %}
        {% endfor %}
    {% endfor %}

{% endblock %}

pageshow页面如下：

{% extends 'common/base.html' %}



{% block pagecontent %}
    


    

        
{{ novel_name }}
        
{{ res.2 }}
        

        
{{ res.3 }}
    
{% endblock %}

图片展示：

章节内容展示：