爬取豆瓣电影TOP 250的电影存储到mongodb中

爬取豆瓣电影TOP 250的电影存储到mongodb中

1.创建项目sp1

PS D:scrapy> scrapy.exe startproject douban

2.创建一个爬虫

PS D:scrapy	encent> scrapy genspider doubanmovie "movie.douban.com"

3.编辑爬虫内容doubanmovie.py

# -*- coding: utf-8 -*-
import scrapy
from douban.items import DoubanItem


class DoubanmovieSpider(scrapy.Spider):
    name = 'doubanmovie'
    allowed_domains = ['movie.douban.com']
    offset = 0
    base_url = "https://movie.douban.com/top250?start="
    start_urls = [base_url + str(offset), ]

    def parse(self, response):

        movies = response.xpath("//div[@class='info']")
        for i in movies:
            # 标题
            title = i.xpath(".//span[@class='title'][1]/text()").extract()[0].strip()
            # 信息
            bd = i.xpath(".//div[@class='bd']/p/text()").extract()[0].strip()
            # 评分
            star = i.xpath(".//div[@class='star']/span[@class='rating_num']/text()").extract()[0].strip()
            # 简介
            quote = i.xpath(".//p[@class='quote']/span/text()").extract()
            if quote:
                quote = quote[0].strip()

            yield DoubanItem(title=title, bd=bd, star=star, quote=quote)

        # 当url页面小与 225 时让URL继续翻页
        if self.offset < 225:
            self.offset += 25
            yield scrapy.Request(self.base_url + str(self.offset), callback=self.parse)

4 .设置items.py 的内容接收格式

import scrapy

class DoubanItem(scrapy.Item):
    # 标题
    title = scrapy.Field()
    # 信息
    bd = scrapy.Field()
    # 评分
    star = scrapy.Field()
    # 简介
    quote = scrapy.Field()

5 .settings.py 中设置将格式化后的数据传给 pipelines 处理保存

# 下载后的文件如何处理
ITEM_PIPELINES = {
   'douban.pipelines.DoubanPipeline': 300,
}

# 头部信息
DEFAULT_REQUEST_HEADERS = {
  'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
  # 没有 User-Agent 会报 403 错误
  'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.146 Safari/537.36',
}

# MONGODB 主机配置
MONGODB_HOST = "192.8.11.100"
MONGODB_PORT = 27017
MONGODB_DBNAME = "Douban"
MONGODB_SHEETNAME = "douban_top_250"

6 .pipelines.py设置保存数据到Mongodb数据库中

import pymongo
from scrapy.conf import settings


class DoubanPipeline(object):
    def __init__(self):
        # 获取settings 中 mongo 的配置信息
        host = settings["MONGODB_HOST"]
        port = settings["MONGODB_PORT"]
        dbname = settings["MONGODB_DBNAME"]
        sheeiname = settings["MONGODB_SHEETNAME"]

        # 创建MongoDB数据库连接
        client = pymongo.MongoClient(host=host, port=port,)
        
        # 连接密码（待测试）
        # client.authenticate("用户", "密码")
        
        # 指定数据库
        mydb = client[dbname]
        # 存放数据的数据库表名
        self.sheet = mydb[sheeiname]

    def process_item(self, item, spider):
        data = dict(item)
        self.sheet.insert(data)

        return item

7 .运行爬虫程序

PS D:scrapydouban> scrapy crawl doubanmovie

8. 检查日志信息