python实现图书比价工具

应用知识点

python操作JSON数据
Xpath知识点讲解
爬虫相关知识啊点
Requests库的使用
优雅使用字符串
HTML、URL、DOM树
OOP思想优化代码
可变对象vs不可变对象

爬取内容

图书标题、价格、店铺信息、购买地址=>比价

爬取当当网

import requests
from lxml import html

def spider(sn, book_list=[]):
    """ 爬取当当网的数据 """
    url = 'http://search.dangdang.com/?key={sn}&act=input'.format(sn=sn)
    # 获取html内容
    html_data = requests.get(url).text

    # xpath对象
    selector = html.fromstring(html_data)

    # 找到书本列表
    ul_list = selector.xpath('//div[@id="search_nature_rg"]/ul/li')
    print(len(ul_list))
    for li in ul_list:
        # 标题
        title = li.xpath('a/@title')
        print(title[0])
        # 购买链接
        link = li.xpath('a/@href')
        print(link[0])
        # 价格
        price = li.xpath('p[@class="price"]/span[@class="search_now_price"]/text()')
        print(price[0].replace('¥', ''))

        # 商家
        store = li.xpath('p[@class="search_shangjia"]/a/text()')
        store = '当当自营' if len(store) == 0 else store[0]
        print(store)
        print('-----------------------')

        book_list.append({
            'title': title[0],
            'price': price[0].replace('¥', ''),
            'link': link[0],
            'store': store[0]
        })


if __name__ == '__main__':
    sn = '9787115428028'
    spider(sn)

爬取京东网

import requests
from lxml import html


def spider(sn, book_list=[]):
    """ 爬取京东的图书数据 """
    url = 'https://search.jd.com/Search?keyword={0}'.format(sn)
    # 获取HTML文档

    resp = requests.get(url)
    print(resp.encoding)
    resp.encoding = 'utf-8'

    html_doc = resp.text

    # 获取xpath对象
    selector = html.fromstring(html_doc)

    # 找到列表的集合
    ul_list = selector.xpath('//div[@id="J_goodsList"]/ul/li')
    print(len(ul_list))

    # 解析对应的内容，标题，价格，链接
    for li in ul_list:
        # 标题
        title = li.xpath('div/div[@class="p-name"]/a/@title')
        print(title[0])
        # 购买链接
        link = li.xpath('div/div[@class="p-name"]/a/@href')
        print(link[0])

        # 价格
        price = li.xpath('div/div[@class="p-price"]/strong/i/text()')
        print(price[0])

        # 店铺
        store = li.xpath('div//a[@class="curr-shop"]/@title')
        print(store[0])

        book_list.append({
            'title': title[0],
            'price': price[0],
            'link': link[0],
            'store': store[0]
        })


if __name__ == '__main__':
    spider('9787115428028')

爬取一号店

import requests
from lxml import html


def spider(sn, book_list=[]):
    """ 爬取1号店的图书数据 """
    url = 'https://search.yhd.com/c0-0/k{0}/'.format(sn)
    # 获取到html源码
    html_doc = requests.get(url).text

    # xpath对象
    selector = html.fromstring(html_doc)

    # 书籍列表
    ul_list = selector.xpath('//div[@id="itemSearchList"]/div')
    print(len(ul_list))

    # 解析数据
    for li in ul_list:
        # 标题
        title = li.xpath('div/p[@class="proName clearfix"]/a/@title')
        print(title[0])
        # 价格
        price = li.xpath('div//p[@class="proPrice"]/em/@yhdprice')
        print(price[0])
        # 购买链接
        link = li.xpath('div/p[@class="proName clearfix"]/a/@href')
        print(link[0])
        # 店铺
        store = li.xpath('div/p[@class="storeName limit_width"]/a/@title')
        print(store)

        book_list.append({
            'title': title[0],
            'price': price[0],
            'link': link[0],
            'store': store[0]
        })



if __name__ == '__main__':
    spider('9787115428028')

爬取淘宝

import requests


def spider(sn, book_list=[]):
    """ 爬取淘宝网的图数数据 """
    url = 'https://s.taobao.com/api?ajax=true&m=customized&sourceId=tb.index&q={0}'.format(sn)
    rest = requests.get(url).json()
    print(rest)
    bk_list = rest["API.CustomizedApi"]["itemlist"]["auctions"]
    print(len(bk_list))

    for bk in bk_list:
        # 标题
        title = bk['raw_title']
        price = bk['view_price']
        link = bk['detail_url']
        store = bk['nick']
        print('{title}: {price}: {link}: {store}'.format(
            title=title,
            price=price,
            link=link,
            store=store
        ))
        book_list.append({
            'title': title,
            'price': price,
            'link': link,
            'store': store
        })

if __name__ == '__main__':
    spider('9787115428028')

汇总及代码优化

from chapter01.spider_dangdang import spider as dangdang
from chapter01.spider_jd import spider as jd
from chapter01.spider_yhd import spider as yhd
from chapter01.spider_taobao import  spider as taobao

def main(sn):
    """ 图书比价工具整合 """
    book_list = []
    # 当当网的数据
    print('当当网数据爬取完成')
    dangdang(sn, book_list)

    # 京东网数据
    print('京东网数据爬取完成')
    jd(sn, book_list)

    # 1号店数据
    print('1号店数据爬取完成')
    yhd(sn, book_list)

    # 淘宝数据
    print('淘宝网数据爬取完成')
    taobao(sn, book_list)

    # 打印所有数据列表
    for book in book_list:
        print(book)

    print('----------------开始排序-----------')

    # 排序书的数据
    book_list = sorted(book_list, key=lambda item: float(item["price"]), reverse=True)
    for book in book_list:
        print(book)

if __name__ == '__main__':
    sn = input('请输入ISBN:')
    main(sn)

更多精彩文章请微信扫码关注