使用mongodb保存爬取豆瓣电影的数据

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  1. 创建爬虫项目douban

    scrapy startproject douban
    
  2. 设置items.py文件,存储要保存的数据类型和字段名称

    # -*- coding: utf-8 -*-
    
    import scrapy
    
    
    class DoubanItem(scrapy.Item):
    
        title = scrapy.Field()
        # 内容
        content = scrapy.Field()
        # 评分
        rating_num = scrapy.Field()
        # 简介
        quote = scrapy.Field()
    
  3. 设置爬虫文件doubanmovies.py

    # -*- coding: utf-8 -*-
    import scrapy
    from douban.items import DoubanItem
    
    
    class DoubanmoviesSpider(scrapy.Spider):
        name = ‘doubanmovies‘
        allowed_domains = [‘movie.douban.com‘]
        offset = 0
        url = ‘https://movie.douban.com/top250?start=‘
        start_urls = [url + str(offset)]
    
        def parse(self, response):
            # print(‘*‘*60)
            # print(response.url)
            # print(‘*‘*60)
    
            item = DoubanItem()
            info = response.xpath("//div[@class=‘info‘]")
            for each in info:
                item[‘title‘] = each.xpath(".//span[@class=‘title‘][1]/text()").extract()
                item[‘content‘] = each.xpath(".//div[@class=‘bd‘]/p[1]/text()").extract()
                item[‘rating_num‘] = each.xpath(".//span[@class=‘rating_num‘]/text()").extract()
                item[‘quote‘] = each .xpath(".//span[@class=‘inq‘]/text()").extract()
                yield item
                # print(item)
    
            self.offset += 25
            if self.offset <= 250:
                yield scrapy.Request(self.url + str(self.offset),callback=self.parse)
    
  4. 设置管道文件,使用mongodb数据库来保存爬取的数据。重点部分

    # -*- coding: utf-8 -*-
    
    from scrapy.conf import settings
    import pymongo
    
    class DoubanPipeline(object):
        def __init__(self):
            self.host = settings[‘MONGODB_HOST‘]
            self.port = settings[‘MONGODB_PORT‘]
    
    
    
        def process_item(self, item, spider):
            # 创建mongodb客户端连接对象,该例从settings.py文件里面获取mongodb所在的主机和端口参数,可直接书写主机和端口
            self.client = pymongo.MongoClient(self.host,self.port)
    
            # 创建数据库douban
            self.mydb = self.client[‘douban‘]
    
            # 在数据库douban里面创建表doubanmovies
    
            # 把类似字典的数据转换为phthon字典格式
            content = dict(item)
    
            # 把数据添加到表里面
            self.mysheetname.insert(content)
    
            return item
    
  5. 设置settings.py文件

    # -*- coding: utf-8 -*-
    
    BOT_NAME = ‘douban‘
    
    SPIDER_MODULES = [‘douban.spiders‘]
    NEWSPIDER_MODULE = ‘douban.spiders‘
    
    USER_AGENT = ‘Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0;‘
    
    
    # Configure a delay for requests for the same website (default: 0)
    
    
    # See https://doc.scrapy.org/en/latest/topics/settings.html#download-delay
    
    
    # See also autothrottle settings and docs
    
    DOWNLOAD_DELAY = 3
    
    # The download delay setting will honor only one of:
    
    
    #CONCURRENT_REQUESTS_PER_DOMAIN = 16
    
    
    #CONCURRENT_REQUESTS_PER_IP = 16
    
    
    
    # Disable cookies (enabled by default)
    
    COOKIES_ENABLED = False
    
    
    # Configure item pipelines
    
    
    # See https://doc.scrapy.org/en/latest/topics/item-pipeline.html
    
    ITEM_PIPELINES = {
       ‘douban.pipelines.DoubanPipeline‘: 300,
    }
    
    
    
    # mongodb数据库设置变量
    
    MONGODB_HOST = ‘127.0.0.1‘
    MONGODB_PORT = 27017
    
  6. 终端测试

    scrapy crawl douban
    

这博客园的代码片段缩进,难道要用4个空格才可以搞定?我发现只能使用4个空格才能解决如上图的代码块的缩进

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