使用scrapy框架爬取时光网日本动画电影时光网评分TOP100并保存到mysql数据库

1. 首先创建scrapy项目shiguang（scrapy startproject shiguang （shiguang为你的项目名称）)
2. 在创建的shiguang文件中找到spider文件创建movie Python文件
   

分析网站网页
我们做一个多页爬取的处理，分析一下时光网下一页的连接
第一页为：http://movie.mtime.com/list/1709.html
第二页：http://movie.mtime.com/list/1709-2.html
第三页：http://movie.mtime.com/list/1709-3.html
由此往下可以看出依次递增1

start_urls = ['http://movie.mtime.com/list/1709.html']
    page = 1
    page_url = "http://movie.mtime.com/list/1709-%d.html"

        if self.page <= 3:
            self.page += 1
            new_page_url = self.page_url % self.page
            print(new_page_url)
            yield scrapy.Request(url=new_page_url, callback=self.parse)

可以分析出xpath，以下的可以依次分析得出，废话不多说直接上代码

在movie中写入代码

import scrapy

from Shiguang.items import ShiguangItem

class MovieSpider(scrapy.Spider):
    name = 'movie'
    allowed_domains = ['movie.mtime.com']
    start_urls = ['http://movie.mtime.com/list/1709.html']
    page = 1
    page_url = "http://movie.mtime.com/list/1709-%d.html"
    def parse(self, response):
        list_selector = response.xpath("//div[@class='top_nlist']/dl/dd")
        for one_selector in list_selector:

            name = one_selector.xpath("./div/h3/a/text()").getall()[0]#电影名称
            director = one_selector.xpath("./div/p[1]/a/text()").get()#导演
            performer = one_selector.xpath("./div/p[2]/a/text()").get()#主演
            content = one_selector.xpath("./div/p[3]/text()").get()#内容简介
            

            item = ShiguangItem()
            item["name"] = name
            item["director"] = director
            item["performer"] = performer
            item["content"] = content
            
            yield item
            #print(item)
            #print('--' * 22)
        if self.page <= 3:
            self.page += 1
            new_page_url = self.page_url % self.page
            print(new_page_url)
            yield scrapy.Request(url=new_page_url, callback=self.parse)

在items中写入代码

import scrapy


class ShiguangItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()

    name = scrapy.Field()
    director = scrapy.Field()
    performer = scrapy.Field()
    content = scrapy.Field()

在管道文件pipelines中连接数据库

class ShiguangPipeline:
    def process_item(self, item, spider):
        return item

import MySQLdb

class MySQLPipeline(object):

    def open_spider(self,spider):

        db_name = spider.settings.get("MYSQL_DB_NAME","mtime")
        host = spider.settings.get("MYSQL_HOST","localhost")
        user = spider.settings.get("MYSQL_USER","root")
        pwd = spider.settings.get("MYSQL_PASSWORD","123456")

        self.db_conn = MySQLdb.connect(db=db_name,
                                       host=host,
                                       user=user,
                                       password=pwd,
                                       charset="utf8")


        self.db_cursor = self.db_conn.cursor()


    def process_item(self, item, spider):

        values = (item['name'],
                  item["director"],
                  item["performer"],
                  item["content"])

        sql = 'insert into dianyin(name,director,performer,content)values(%s,%s,%s,%s)'

        self.db_cursor.execute(sql,values)
        return item

    def close_spider(self,spider):
        self.db_conn.commit()
        self.db_cursor.close()
        self.db_conn.close()

最后在settings文件中做出以下设置




这样就完成了整个时光网的爬取，下面看效果图


第一次写博客，可能写的不太好，如果有什么疑问可以私聊我
Q：502037970