1.编写item

import scrapy

class MovieItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    # 电影名
    title = scrapy.Field()
    # 电影信息
    movieInfo = scrapy.Field()
    # 评分
    star = scrapy.Field()
    # 影评
    quote = scrapy.Field()
    # 评分人数
    number = scrapy.Field()
    pass</pre>

2.编写Spider

from scrapy.spiders import Spider
from scrapy.http import Request
from scrapy.selector import Selector

from Mycrawl.items import MovieItem
import requests
import time

class MovieSpider(Spider):
    # 爬虫名字，重要
    name = 'movie'
    # 反爬措施
    headers = {'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.119 Safari/537.36'}
    url = 'https://movie.douban.com/top250'
    #start_urls = ['movie.douban.com']

    def start_requests(self):
        # url = 'https://movie.douban.com/top250'
        yield Request(self.url, headers=self.headers, callback=self.parse)

    def parse(self, response):
        item = MovieItem()
        selector = Selector(response)
        movies = selector.xpath('//div[@class="info"]')
        for movie in movies:
            name = movie.xpath('div[@class="hd"]/a/span/text()').extract()
            message = movie.xpath('div[@class="bd"]/p/text()').extract()
            star = movie.xpath('div[@class="bd"]/div[@class="star"]/span[@class="rating_num"]/text()').extract()
            number = movie.xpath('div[@class="bd"]/div[@class="star"]/span/text()').extract()
            quote = movie.xpath('div[@class="bd"]/p[@class="quote"]/span/text()').extract()
            if quote:
                quote = quote[0]
            else:
                quote = ''
            item['movie_name'] = ''.join(name)
            item['movie_message'] = ';'.join(message).replace(' ','').replace('\n','')
            item['movie_star'] = star[0]
            item['number'] = number[1].split('人')[0]
            item['movie_quote'] = quote
            yield item
        nextpage = selector.xpath('//span[@class="next"]/link/@href').extract()
        time.sleep(3)
        if nextpage:
            nextpage = nextpage[0]

            yield Request(self.url+str(nextpage), headers=self.headers, callback=self.parse)</pre>

3.编写Piplines与数据库进行连接

Mysql

import pymysql
import pymongo

'''
class MycrawlPipeline(object):
    def process_item(self, item, spider):
        return item
'''
class MoviePipeline(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 = self.conn.cursor()
        self.cursor.execute('truncate table Movie')
        self.conn.commit()

    def process_item(self, item, spider):
        try:
            self.cursor.execute("insert into Movie (name,movieInfo,star,number,quote) \
            VALUES (%s,%s,%s,%s,%s)", (item['movie_name'],item['movie_message'],item['movie_star'],
                                       item['number'], item['movie_quote']))
            self.conn.commit()
        except pymysql.Error:
            print("Error%s,%s,%s,%s,%s" % (item['movie_name'],item['movie_message'],item['movie_star'],
                                       item['number'], item['movie_quote']))
        return item</pre>

MongoDB

class MoviePipeline(object):
    def __init__(self):
        # 连接数据库
     self.client = pymongo.MongoClient(host='127.0.0.1', port=27017)
        self.test = self.client['TESTDB']
        self.post = self.test['movie']
    def process_item(self, item, spider):
        data = dict(item)
        self.post.insert(data)
        return item</pre>

4.编写setting

image

image

5.爬取存入Mysql数据库

在爬虫运行前需要建立数据库表格，有两种方法可以建立，一种是可以通过命令行进入数据库输入创建表命令创建；另一种是通过Python进行创建。

在这里我说说第二种，创建一个.py文件，然后在里面编写

import pymysql

db = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='你的密码', db='TESTDB', charset='utf8')

cursor = db.cursor()

cursor.execute('DROP TABLE IF EXISTS BOOK')

sql = """CREATE TABLE BOOK(
          id INT NOT NULL PRIMARY KEY AUTO_INCREMENT COMMENT '自增 id',
          book_name VARCHAR(1024) NOT NULL COMMENT '小说名',
          author VARCHAR(1024) NOT NULL COMMENT '小说作者',
          book_type VARCHAR(1024) NULL NULL COMMENT '小说类型',
          book_state VARCHAR(1024) DEFAULT NULL COMMENT '小说状态',
          book_update VARCHAR(1024) DEFAULT NULL COMMENT '小说更新',
          book_time VARCHAR(1024) DEFAULT NULL COMMENT '更新时间',
          new_href VARCHAR(1024) DEFAULT NULL COMMENT '最新一章',
          book_intro VARCHAR(1024) DEFAULT NULL COMMENT '小说简介',
          createtime DATETIME DEFAULT CURRENT_TIMESTAMP COMMENT '添加时间'
          )"""

cursor.execute(sql)

db.close()

这样，就完成了创建一个表了。

关于更多的Mysql数据库操作命令，可以参考 http://blog.csdn.net/Mr_blueD/article/details/79344462

在创建的scrpay项目的文件夹下输入

scrapy crawl movie（这个movie是我在Spider里写的爬虫名）

6.结果

Mysql

image

image

Mongo

image

另有爬取起点小说网数据的Scrapy实战，请前往 http://blog.csdn.net/Mr_blueD/article/details/79343349