练习：一只豆瓣电影TOP250的爬虫

练习：一只豆瓣电影TOP250爬虫

练习：一只豆瓣电影TOP250爬虫

①创建project

②编辑items.py

import scrapy

class DoubanmovieItem(scrapy.Item):    # define the fields for your item here like:    # name = scrapy.Field()    rank = scrapy.Field()    title = scrapy.Field()    link = scrapy.Field()    rate = scrapy.Field()    quote = scrapy.Field()

③创建douban_spider.py

import scrapyfrom doubanmovie.items import DoubanmovieItem

class DoubanSpider(scrapy.Spider):  """docstring for Movie250Spider"""  name = ‘doubanmovie‘  allowed_domains = ["douban.com"]  start_urls = [    "http://movie.douban.com/top250/"  ]

def parse(self, response):    for info in response.xpath(‘//div[@class="item"]‘):      item = DoubanmovieItem()      item[‘rank‘] = info.xpath(‘div[@class="pic"]/em/text()‘).extract()      item[‘title‘] = info.xpath(‘div[@class="pic"]/a/img/@alt‘).extract()      item[‘link‘] = info.xpath(‘div[@class="pic"]/a/@href‘).extract()      item[‘rate‘] = info.xpath(‘div[@class="info"]/div[@class="bd"]/div[@class="star"]/span[@class="rating_num"]/text()‘).extract()      item[‘quote‘] = info.xpath(‘div[@class="info"]/div[@class="bd"]/p[@class="quote"]/span/text()‘).extract()      yield item

# 翻页    next_page = response.xpath(‘//span[@class="next"]/a/@href‘)    if next_page:      url = response.urljoin(next_page[0].extract())      yield scrapy.Request(url, self.parse)

关于xpath的查找，之前有说过，可以使用xpath checker这个插件，也可以直接使用审查元素

我们要找的内容就在<div class="item"></div>之内，所以得先声明在这之内查找//div[@class="item"]

如查找rank

那么rank就在<div class="pic">下的<em class=""></em>之中，于是就写成div[@class="pic"]/em/text()

④运行，生成csv文件

[KANO@kelvin doubanmovie]$ scrapy crawl doubanmovie -o items.csv

最后的文件夹内容如下

打开items.csv文件查看内容

另外，如果需要，还可以在settings.py文件中加入user-agent

BOT_NAME = ‘doubanmovie‘

SPIDER_MODULES = [‘doubanmovie.spiders‘]NEWSPIDER_MODULE = ‘doubanmovie.spiders‘

USER_AGENT = ‘Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_3) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.54 Safari/536.5‘

△注意，一定要记得先声明

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

否则运行会出错！！！