Scrapy爬取京东商城华为全系列手机评论

本文转自：https://mp.weixin.qq.com/s?__biz=MzA4MTk3ODI2OA==&mid=2650342004&idx=1&sn=4d270ab7ca54f6f2f7ec7aca113993f4&chksm=87811487b0f69d91d2b3a072be22e50b436e342e05cea6c1e28c9ade4c814f8ba1a53118a69b&scene=0&xtrack=1#rd

前言

大致分析了下京东评论 相同手机型号的产品用的评论都是一样的,所以每个型号的爬一个就可以了;
每一个评论最多只能爬100页,每页10条, 加上好中差评 大概能有2000多条不重复的评论
{productId}就是对应产品的productId;
{score}对应全部/好/中/差评 0:全部评价 1:差评 2:中评 3:好评

爬去评论

每个型号的找一个主页,爬取评论

对应的html代码,用beautisoup分析网页,得到手机型号和herf

代码实现:

Start_requests:这里用的方法比较简单就是遍历循环,根据url三个参数,爬取每个手机型号的,好中差评评论,最后通过pipelines存入mongodb，代码实现：

完整代码如下：

# -*- coding: utf-8 -*-
import re
import json
import time

import requests
from bs4 import BeautifulSoup
import scrapy
from scrapy import Spider,Request

from jd_parse.items import JdParseItem

class JdSpider(scrapy.Spider):
    name = "jd"
    allowed_domains = ["www.jd.com"]

    start_urls = ['https://item.jd.com/5544068.html']  #score #0:全部评价  1:差评  2:中评  3:好评


    comment_url = 'https://sclub.jd.com/comment/productPageComments.action?productId={productId}&score={score}&sortType=5&page={page}&pageSize=10&isShadowSku=0&rid=0&fold=1'
    # haop_url =   'https://sclub.jd.com/comment/productPageComments.action?callback=fetchJSON_comment98vv6955&productId=6946627&score=3&sortType=5&page=0&pageSize=10&isShadowSku=0&fold=1'
    # zhongp_url = 'https://sclub.jd.com/comment/productPageComments.action?callback=fetchJSON_comment98vv6955&productId=6946627&score=2&sortType=5&page=0&pageSize=10&isShadowSku=0&fold=1'
    # chap_url =   'https://sclub.jd.com/comment/productPageComments.action?callback=fetchJSON_comment98vv6955&productId=6946627&score=1&sortType=5&page=0&pageSize=10&isShadowSku=0&fold=1'

    response = requests.get(start_urls[0])
    soup = BeautifulSoup(response.content, 'lxml')
    content = soup.find_all('div', class_='erji')
    dic = {}
    model = ''
    for a in content:
        a_label = a.find_all('a')
        for href in a_label:
            productId = re.compile('\d+').findall(href.get('href'))[0]
            dic['https:' + href.get('href')] = [productId, href.get_text()]
    # print('------->',dic)

    def start_requests(self):
        for k,v in self.dic.items():
            productId = v[0]
            global model
            model = v[1]

            for score in range(4):
                page = 0
                while page < 101:
                    yield Request(self.comment_url.format(productId=productId,score=score,page=page),self.parse,dont_filter=True)
                    page += 1
                    time.sleep(1)


    def parse(self, response):
        # print('--->',response.text)
        # result = re.sub('fetchJSON_comment98vv6955\(','',response.text)
        # result = re.sub('\);', '', result)
        datas = json.loads(response.text)['comments']
        if datas:
            for data in datas:
                item = JdParseItem()
                for field in item.fields:
                    if field in data.keys():
                        item['model'] = model
                        if field == 'productSales':
                            item[field] = data.get(field)[0]['saleValue']
                        else:
                            item[field] = data.get(field)
                yield item

爬到的数据

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