Python3 + Scrapy爬取猫眼电影排行榜

本文介绍了一个针对猫眼电影排行榜的爬虫项目实现过程,包括数据抓取、解析和存储等步骤,并展示了如何使用Scrapy框架进行数据爬取,最终将数据保存到MySQL和MongoDB数据库中。

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首先抓包分析,所需的整页数据都在"main"下,再细分每一部的信息。

每一部电影的信息在"board-item-main"下。


接下来我们可以去找到目标数据并想好匹配方法了。


我们所需的四种数据就找到了,接下来可以去动手了。


一.编写Item

class MaoyanItem(scrapy.Item):

    top = scrapy.Field()
    title = scrapy.Field()
    star = scrapy.Field()
    releasetime = scrapy.Field()
    pass

二.编写Piplines

Mysql

class MycrawlPipeline(object):
    def __init__(self):
        # 连接数据库
        self.conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='1likePython',
                                    db='TESTDB', charset='utf8')
        # 建立游标对象
        self.cursor.execute('truncate table Music')
        self.conn.commit()

    def process_item(self, item, spider): 
         try:
           
          self.cursor.execute("insert into Maoyan (top,title,star,releasetime) \
              VALUES (%s,%s,%s,%s)", (item['top'], item['title'], item['star'], item['releasetime']))
          self.conn.commit()
      except pymysql.Error:  
          print("Error%s,%s,%s,%s" % (item['top'], item['title'], item['star'], item['releasetime']))
return item


MongoDB

class MycrawlPipeline(object):
    def __init__(self):
        # 连接数据库
        self.client = pymongo.MongoClient(host='127.0.0.1', port=27017)
        # 建立游标对象
        self.test = self.client['TESTDB']
        self.post4 = self.test['maoyan']
    def process_item(self, item, spider):   
        data = dict(item)
        self.post4.insert(data)
        return item

三.编写Spider

import scrapy
from scrapy.selector import Selector
from scrapy.http import Request
from Mycrawl.items import MaoyanItem


class MaoyanSpider(scrapy.Spider):
    name = 'maoyan'
    # allowed_domains = ['maoyan.com']
    pagelist = [7, 6, 1, 2, 4]

    def start_requests(self):
        for i in self.pagelist:
            self.url = 'http://maoyan.com/board/{page}'.format(page=i)
        # url = 'https://movie.douban.com/top250'
            yield Request(self.url, callback=self.parse)

    def parse(self, response):
        item = MaoyanItem()
        selector = Selector(response)
        active = selector.xpath('//ul[@class="navbar"]/li/a[@class="active"]/text()').extract()
        tops = selector.xpath('//dd/i/text()').extract()
        movies = selector.xpath('//div[@class="movie-item-info"]')
        for i, content in enumerate(movies):
            title = content.xpath('p[@class="name"]/a/text()').extract()
            star = content.xpath('p[2]/text()').extract()
            releasetime = content.xpath('p[3]/text()').extract()

            item['top'] = active[-1] + '第' + tops[i]
            item['title'] = title[0]
            item['star'] = star[0].replace(' ', '').replace('\n', '')
            if releasetime:
                item['releasetime'] = releasetime[0].replace(' ', '').replace('\n', '')
            else:
                item['releasetime'] = ''
            yield item


四.结果展示


好的,这里是使用Scrapy爬取猫眼电影详细数据的代码: ```python import scrapy class MaoyanSpider(scrapy.Spider): name = 'maoyan' allowed_domains = ['maoyan.com'] def start_requests(self): url = 'https://maoyan.com/films?showType=3' yield scrapy.Request(url=url, callback=self.parse) def parse(self, response): movies = response.xpath('//div[@class="movie-item-hover"]') for movie in movies: movie_url = movie.xpath('./a/@href').extract_first() yield scrapy.Request(url=response.urljoin(movie_url), callback=self.parse_detail) def parse_detail(self, response): movie = {} movie['title'] = response.xpath('//h1/text()').extract_first().strip() movie['category'] = response.xpath('//li[contains(text(),"类型")]/a/text()').extract_first().strip() movie['release_date'] = response.xpath('//li[contains(text(),"上映时间")]/text()').extract_first().strip() movie['score'] = response.xpath('//span[@class="stonefont"]/text() | //span[@class="score-num"]/text() | //div[@class="score"]/span/text()' ).extract_first().strip() movie['actors'] = response.xpath('//li[contains(text(),"主演")]/a/text()').extract() movie['box_office'] = response.xpath('//li[contains(text(),"累计票房")]/span/text()').extract_first() yield movie ``` 解释一下代码: 1. 在`start_requests`方法中,指定了要爬取的页面,并调用`parse`方法; 2. 在`parse`方法中,使用XPath选取每个电影的链接,并发送请求,通过`callback`指定要调用的函数`parse_detail`; 3. 在`parse_detail`方法中,使用XPath选取详细信息,并将结果存入字典`movie`中,最后使用`yield`返回字典。注意:由于不同电影页面上的评分信息的XPath路径可能不同,所以这里使用了3个不同的XPath路径,以保证能够正确选取评分信息。
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