phtyon使用scrapy采集小说代码（完整代码）

python 采集网站数据，本教程用的是scrapy蜘蛛

1、安装Scrapy框架

 命令行执行：

pip install scrapy

安装的scrapy依赖包和原先你安装的其他python包有冲突话，推荐使用Virtualenv安装

安装完成后，随便找个文件夹创建爬虫

scrapy startproject 你的蜘蛛名称

文件夹目录

爬虫规则写在spiders目录下

items.py ——需要爬取的数据

pipelines.py ——执行数据保存

settings —— 配置

middlewares.py——下载器

下面是采集一个小说网站的源码

先在items.py定义采集的数据

# 2019年8月12日17:41:08
# author zhangxi<1638844034@qq.com>

import scrapy


class BookspiderItem(scrapy.Item):
    # define the fields for your item here like:
    i = scrapy.Field()
    book_name = scrapy.Field()
    book_img = scrapy.Field()
    book_author = scrapy.Field()
    book_last_chapter = scrapy.Field()
    book_last_time = scrapy.Field()
    book_list_name = scrapy.Field()
    book_content = scrapy.Field()
    pass

编写采集规则

# 2019年8月12日17:41:08
# author zhangxi<1638844034@qq.com>
import scrapy
from ..items import BookspiderItem
class Book(scrapy.Spider):
    name = "BookSpider"
    start_urls = [
        \'http://www.xbiquge.la/xiaoshuodaquan/\'
    ]

    def parse(self, response):
        bookAllList = response.css(\'.novellist:first-child>ul>li\')

        for all in bookAllList:
            booklist = all.css(\'a::attr(href)\').extract_first()
            yield scrapy.Request(booklist,callback=self.list)

    def list(self,response):
        book_name = response.css(\'#info>h1::text\').extract_first()
        book_img = response.css(\'#fmimg>img::attr(src)\').extract_first()
        book_author = response.css(\'#info p:nth-child(2)::text\').extract_first()
        book_last_chapter = response.css(\'#info p:last-child::text\').extract_first()
        book_last_time = response.css(\'#info p:nth-last-child(2)::text\').extract_first()
        bookInfo = {
            \'book_name\':book_name,
            \'book_img\':book_img,
            \'book_author\':book_author,
            \'book_last_chapter\':book_last_chapter,
            \'book_last_time\':book_last_time
        }
        list = response.css(\'#list>dl>dd>a::attr(href)\').extract()
        i = 0
        for var in list:
            i += 1
            bookInfo[\'i\'] = i # 获取抓取时的顺序，保存数据时按顺序保存
            yield scrapy.Request(\'http://www.xbiquge.la\'+var,meta=bookInfo,callback=self.info)

    def info(self,response):
        self.log(response.meta[\'book_name\'])
        content = response.css(\'#content::text\').extract()
        item = BookspiderItem()
        item[\'i\'] = response.meta[\'i\']
        item[\'book_name\'] = response.meta[\'book_name\']
        item[\'book_img\'] = response.meta[\'book_img\']
        item[\'book_author\'] = response.meta[\'book_author\']
        item[\'book_last_chapter\'] = response.meta[\'book_last_chapter\']
        item[\'book_last_time\'] = response.meta[\'book_last_time\']
        item[\'book_list_name\'] = response.css(\'.bookname h1::text\').extract_first()

        item[\'book_content\'] = \'\'.join(content)
        yield item

保存数据

import os
class BookspiderPipeline(object):

    def process_item(self, item, spider):

        curPath = \'E:/小说/\'
        tempPath = str(item[\'book_name\'])

        targetPath = curPath + tempPath
        if not os.path.exists(targetPath):
            os.makedirs(targetPath)
        book_list_name = str(str(item[\'i\'])+item[\'book_list_name\'])
        filename_path = targetPath+\'/\'+book_list_name+\'.txt\'
        print(\'------------\')
        print(filename_path)

        with open(filename_path,\'a\',encoding=\'utf-8\') as f:
            f.write(item[\'book_content\'])
        return item

执行

scrapy crawl  BookSpider

即可完成一个小说程序的采集

这里推荐使用 

scrapy shell 爬取的网页url

然后 response.css(\'\') 测试规则是否正确

本教程程序源码：github:https://github.com/zhangxi-key/py-book.git