scrapy 爬取天猫淘宝的某个商品评论_scrapy爬取淘宝商品评论-优快云博客

本文介绍了一种使用Python Scrapy框架爬取天猫商品评论数据的方法，并提供了完整的代码实现，包括数据解析、存储到MySQL数据库的过程。

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这是商品的原url

https://detail.tmall.com/item.htm?spm=a220m.1000858.1000725.6.43a61af4WhDqVT&id=541017907539&skuId=3446836044419&user_id=2457021025&cat_id=2&is_b=1&rn=90d97cb796c8f4873e80f1f2c72990cd

这里写图片描述

用chrome打开url，然后clear一下，然后点击累计评论，下面就会出现一大堆加载的东西，一个一个找（我目前只知道一个一个点开看，但那些img什么的就别试了），然后你就看到了我图中蓝色的那段，那个就是评论的json数据，点开url是这样的，（推荐一个插件JSONView,可以方便看json数据），然后可以根据需要，爬取数据了

这里写图片描述

话不多说，先贴代码

tianmaopinlun.py

import scrapy
import json
from tianmaopinlun.items import TianmaopinlunItem

class tianmaopinlun(scrapy.Spider):
    name = 'tianmaopinlun'

    def start_requests(self):
        for i in range(1,11):
            yield scrapy.Request('https://rate.tmall.com/list_detail_rate.htm?itemId=541017907539&spuId=710352899&sellerId=2457021025&order=3&currentPage='+str(i)+'&append=0&content=1',callback=self.parse)

    def parse(self, response):
        res=str(response.body,"utf-8")
        res1=res[:-1]
        res2=res1.split("(",1)[1]
        #这里我对str的截取还不是很熟悉，所以采取了这种笨办法，有好方法的可以留言一下
        res3=json.loads(res2)
        for i in res3['rateDetail']['rateList']:
            items=TianmaopinlunItem()
            items['auctionSku']=i['auctionSku']
            items['rateContent']=i['rateContent']
            items['rateDate']=i['rateDate']
            if i['appendComment']:
                items['appendcontent']=i['appendComment']['content']
                items['appendcommentTime']=i['appendComment']['commentTime']
            else:
	            #本来一开始没有把空值设为0的，但后面考虑到要把数据写到mysql里去，还是这样写了
                items['appendcontent']='0'
                items['appendcommentTime']='0'
            yield items

item.py

import scrapy


class TianmaopinlunItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    #下面的命名就是json数据里的命名（每次写代码最讨厌的就是命名了，emmm）
    auctionSku=scrapy.Field()
    rateContent=scrapy.Field()
    rateDate=scrapy.Field()
    appendcontent=scrapy.Field()
    appendcommentTime=scrapy.Field()

settings.py部分代码

ROBOTSTXT_OBEY = False
COOKIES_ENABLED=False
REDIRECT_ENABLED = True
MYSQL_HOST = 'localhost'
MYSQL_DBNAME = 'tianmaopinlun'         #数据库名字
MYSQL_USER = 'root'             #数据库账号
MYSQL_PASSWD = '111000'         #数据库密码

MYSQL_PORT = 3306

ITEM_PIPELINES = {
    'tianmaopinlun.pipelines.TianmaopinlunPipeline': 300,
   
}
# Configure maximum concurrent requests performed by Scrapy (default: 16)
CONCURRENT_REQUESTS = 50

pipelines.py

import pymysql

class TianmaopinlunPipeline(object):
    maorong_name = 'pinlun'
    #这里要先到mysql里去创建表，推荐Navicat for mysql 。当然你也可以在代码里创建
    maorong_insert="""
                        insert into pinlun(auctionSku,rateContent,rateDate,appendcontent,appendcommentTime)
                        values('{auctionSku}','{rateContent}','{rateDate}','{appendcontent}','{appendcommentTime}')
                    """

    def __init__(self,settings):
        self.settings=settings

    def process_item(self, item, spider):
        sqltext = self.maorong_insert.format(
            auctionSku=pymysql.escape_string(item['auctionSku']),
            rateContent=pymysql.escape_string(item['rateContent']),
            rateDate=pymysql.escape_string(item['rateDate']),
            appendcontent=pymysql.escape_string(item['appendcontent']),
            appendcommentTime=pymysql.escape_string(item['appendcommentTime']),
        )
        self.cursor.execute(sqltext)
        return item

    @classmethod
    def from_crawler(cls, crawler):
        return cls(crawler.settings)

    def open_spider(self, spider):
        # 连接数据库
        self.connect = pymysql.connect(
            host=self.settings.get('MYSQL_HOST'),
            port=self.settings.get('MYSQL_PORT'),
            db=self.settings.get('MYSQL_DBNAME'),
            user=self.settings.get('MYSQL_USER'),
            passwd=self.settings.get('MYSQL_PASSWD'),
            
            charset='utf8mb4',
            use_unicode=True)

        # 通过cursor执行增删查改
        self.cursor = self.connect.cursor();
        self.connect.autocommit(True)

    def close_spider(self, spider):
        self.cursor.close()
        self.connect.close()