**

python-如何爬取天猫店铺的商品信息

**

1.本文使用的是python-scrapy 爬取天猫博库图书专营店的数据，登录天猫 获取登录之后的cookie
通过下面两幅图片elements与网页源码对比不难看出，我们通过代码获取的源码与elements是对不上的,也就是说需要我们自己查找数据所在位置


下面重点来了！！！
通过network中的对请求进行抓包，查看，获取了如下网址

请求该网址可以看到获取了如下内容

此时再查看elements与源码发现终于对应上了，松了一口气，但是还有一个问题，这个网址还需要解析呢，不难，看下去就明白了
通过对获取的网址进行删减，我们可以获取到如下url

https://bokuts.tmall.com/i/asynSearch.htm?callback=jsonp119&mid=w-15421479631-0&wid=15421479631&path=/category-1292495385.htm&spm=a1z10.5-b-s.w4011-15421479631.132.2d944a88DdcUWW&search=y&scene=taobao_shop&catId=1292495385&pageNo=2&scid=1292495385

https://bokuts.tmall.com/i/asynSearch.htm?callback=jsonp119&mid=w-15421479631-0&wid=15421479631&path=/category-1292493589.htm&spm=a1z10.5-b-s.w4011-15421479631.133.59b94a88Cyzcqr&search=y&scene=taobao_shop&catId=1292493589&pageNo=4&scid=1292493589

对不可以看到不同点共有四个:
category,spm,catId,pageNo,
pageno 是页数，不要管，那还剩三个参数在哪里呢？回头看一开始的请求网址

https://bokuts.tmall.com/category-1292495365.htm?spm=a1z10.5-b-s.w4011-15421479631.158.3cd61e78EvCORk&search=y&catId=1292495365&pageNo=1#anchor

全部都在里面，接下来就好办了，通过正则匹配提取参数，发送请求，xpath提取，直接上代码：

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

import scrapy


class BkSpider(scrapy.Spider):
    name = 'bk'
    allowed_domains = ['bokuts.tmall.com']
    # start_urls = ['https://bokuts.tmall.com/category-1292495365.htm?spm=a1z10.5-b-s.w4011-15421479631.158.3cd61e78EvCORk&search=y&catId=1292495365&pageNo=1#anchor']

    def start_requests(self):
        url = input("请输入要爬取的url")
        start_url = url

        yield scrapy.Request(
            start_url,
            callback=self.parse
        )

    def parse(self, response):

        category = re.findall(r"category-(.*?).htm",response.url)[0]
        spm = re.findall(r"?spm=(.*?)&search",response.url)[0]
        # catname = re.findall(r"catName=(.*?)&scene",response.url)[0]
        cat_id = re.findall(r"catId=(.*?)&pageNo",response.url)[0]
        pageno = re.findall(r"pageNo=(d+)",response.url)[0]
        scid = cat_id
        price_url = "https://bokuts.tmall.com/i/asynSearch.htm?callback=jsonp119&mid=w-15421479631-0&wid=15421479631&path=/category-{}.htm&spm={}&search=y&scene=taobao_shop&catId={}&pageNo={}&scid={}".format(category, spm,  cat_id, pageno, scid)
        yield scrapy.Request(
            price_url,
            callback=self.get_book_info,
            meta={"num": pageno}
        )

    def get_book_info(self, response):
        num = response.meta["num"]
        dl_list = response.xpath("//div[@class='\"J_TItems\"']/div[@class='\"item4line1\"']/dl")[:-8]
        list_content = []
        for dl in dl_list:
            item = {}
            item["book_title"] = dl.xpath("./dd[@class='\"detail\"']/a/text()").extract_first()
            item["book_price"] = dl.xpath(".//div[@class='\"cprice-area\"']/span[@class='\"c-price\"']/text()").extract_first().strip()
            item["sale"] = dl.xpath(".//div[@class='\"sale-area\"']/span[@class='\"sale-num\"']/text()").extract_first()
            item["eva_count"] = dl.xpath(".//dd[@class='\"rates\"']//h4/a/span/text()").extract_first()
            item["detail_href"] = dl.xpath(".//dd[@class='\"detail\"']/a/@href").extract_first()[2:-3]
            item["detail_href"] = "https:" + item["detail_href"]
            list_content.append(item)
        for i in list_content:
            with open("第{}页.txt".format(num), "a", encoding="utf-8") as f:
                f.write(json.dumps(i,ensure_ascii=False, indent=2))

        next_url = response.xpath("//a[text()='下一页']/@href").extract_first()
        if next_url is None:
            return
        else:
            next_url = next_url[2:-1]
        next_url = "https:" + next_url
        print(next_url)

        time.sleep(5)
        yield scrapy.Request(
            next_url,
            callback=self.parse
        )

以上就是本人爬取天猫的一点经验，如有错误，欢迎指正！