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scrapy爬虫案例:用MongoDB保存数据

时间:2019-12-14 13:51:25      阅读:123      评论:0      收藏:0      [点我收藏+]

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用Pymongo保存数据

爬取豆瓣电影top250movie.douban.com/top250的电影数据,并保存在MongoDB中。

items.py

class DoubanspiderItem(scrapy.Item):
    # 电影标题
    title = scrapy.Field()
    # 电影评分
    score = scrapy.Field()
    # 电影信息
    content = scrapy.Field()
    # 简介
    info = scrapy.Field()

 

spiders/douban.py

import scrapy
from doubanSpider.items import DoubanspiderItem


class DoubanSpider(scrapy.Spider):
    name = "douban"
    allowed_domains = ["movie.douban.com"]
    start = 0
    url = https://movie.douban.com/top250?start=
    end = &filter=
    start_urls = [url + str(start) + end]

    def parse(self, response):

        item = DoubanspiderItem()

        movies = response.xpath("//div[@class=\‘info\‘]")

        for each in movies:
            title = each.xpath(div[@class="hd"]/a/span[@class="title"]/text()).extract()
            content = each.xpath(div[@class="bd"]/p/text()).extract()
            score = each.xpath(div[@class="bd"]/div[@class="star"]/span[@class="rating_num"]/text()).extract()
            info = each.xpath(div[@class="bd"]/p[@class="quote"]/span/text()).extract()

            item[title] = title[0]
            # 以;作为分隔,将content列表里所有元素合并成一个新的字符串
            item[content] = ;.join(content)
            item[score] = score[0]
            item[info] = info[0]
            # 提交item

            yield item

        if self.start <= 225:
            self.start += 25
            yield scrapy.Request(self.url + str(self.start) + self.end, callback=self.parse)

pipelines.py

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

# Define your item pipelines here
#
# Don‘t forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
import json

import pymongo
from scrapy.utils.project import get_project_settings



class DoubanspiderPipeline(object):
    def __init__(self):
        settings = get_project_settings()
        # 获取setting主机名、端口号和数据库名
        host = settings[MONGODB_HOST]
        port = settings[MONGODB_PORT]
        dbname = settings[MONGODB_DBNAME]

        # pymongo.MongoClient(host, port) 创建MongoDB链接
        client = pymongo.MongoClient(host=host, port=port)

        # 指向指定的数据库
        mdb = client[dbname]
        # 获取数据库里存放数据的表名
        self.post = mdb[settings[MONGODB_DOCNAME]]

    def process_item(self, item, spider):
        data = dict(item)
        # 向指定的表里添加数据
        self.post.insert(data)
        return item

 

BOT_NAME = doubanSpider

SPIDER_MODULES = [doubanSpider.spiders]
NEWSPIDER_MODULE = doubanSpider.spiders

ITEM_PIPELINES = {
        doubanSpider.pipelines.DoubanspiderPipeline : 300
        }

# Crawl responsibly by identifying yourself (and your website) on the user-agent
USER_AGENT = Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36

# MONGODB 主机环回地址127.0.0.1
MONGODB_HOST = 127.0.0.1
# 端口号,默认是27017
MONGODB_PORT = 27017
# 设置数据库名称
MONGODB_DBNAME = DouBan
# 存放本次数据的表名称
MONGODB_DOCNAME = DouBanMovies

效果:

技术图片

scrapy爬虫案例:用MongoDB保存数据

标签:创建   web   src   数据   gen   存在   爬取   imp   doc   

原文地址:https://www.cnblogs.com/loaderman/p/11890356.html

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