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爬取一页商品数据

爬取一页商品数据

作者: CxyFreedom | 来源:发表于2016-06-18 17:26 被阅读126次

    目标

    • 爬取一页商品数据
    • 不要推广商品和转转商品
    • 在详情页获取信息(类目 | 标题 | 发帖时间 | 价格 | 成色 | 区域 | 浏览量)

    环境

    • Python 3.5.1
    • Windows7 或者 Ubuntu 14.04

    结果示例

    {
        'areas': ['丰台', '-', '西客站'],
        'datetime': '2016-03-06',
        'price': '500',
        'quality': '95成新',
        'title': '北京实体店出售苹果IPAD迷你AIR三星平板电脑',
        'type': '北京二手平板电脑',
        'views': '6103'
    }
    

    代码

    # -*- coding: utf-8 -*-
    
    from bs4 import BeautifulSoup
    import requests, time
    from pprint import pprint
    
    base_url = 'http://bj.58.com/pbdn/0/'
    
    def get_all_links(url):
        """获取一页商品的链接,除了推广和转转"""
        
        urls = []
        data = requests.get(url)
        if data.status_code == 200:
            soup = BeautifulSoup(data.text, 'lxml')
            for tb in soup.select('div#infolist > table.tbimg'):
                for item in tb.find_all("tr", class_=""):
                    urls.append(item.find("a", class_="t").get('href'))
            
            return urls
    
    def get_views(url):
        """获取单个商品的浏览量"""
        
        info_id = url.split('?')[0].split('/')[-1].strip('x.shtml')
        interface = 'http://jst1.58.com/counter?infoid={}'.format(info_id)
        headers = {
            'Host': 'jst1.58.com',
            'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) \
                            Chrome/50.0.2661.102 Safari/537.36',
            'Accept': '*/*',
            'Accept-Language': 'zh-CN,zh;q=0.8,en-US;q=0.5,en;q=0.3',
            'Accept-Encoding': 'gzip, deflate',
            'Referer': url,
            'Cookie': r'id58=c5/ns1djWc+KP2U1DXI4Ag==; city=bj; 58home=bj; ipcity=sh%7C%u4E0A%u6D77%7C0; \
                58tj_uuid=93b726b3-9742-4270-9d11-dcd665bea67b; new_uv=3; myfeet_tooltip=end; \
                als=0; bj58_new_uv=3; bj58_id58s="SUg0UjFZMFI0K3RSMDIyMw=="; \
                sessionid=37cd7e97-40fe-40ac-b903-d6e85ffd8690; __utma=253535702.1612735289.1466129063.1466129063.1466129063.1; \
                __utmc=253535702; __utmz=253535702.1466129063.1.1.utmcsr=baidu|utmccn=(organic)|utmcmd=organic; \
                final_history=26364215035854%2C25245379987755%2C26062681492781; bangbigtip2=1; new_session=0; utm_source=; spm=; \
                init_refer=; bj58_new_session=0; bj58_init_refer="{}"'.format(url),
            'Connection': 'keep-alive',
            'Cache-Control': 'max-age=0' 
        }
        
        resp = requests.get(interface, headers=headers)
        if resp.status_code == 200:
            return resp.text.split('=')[-1]
        else:
            return 0
    
    def get_info(url):
        """获取一页中所有的商品信息"""
        
        url_list = get_all_links(url)
        
        headers = {
            'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) \
                Chrome/50.0.2661.102 Safari/537.36'
        }
        for link in url_list:
            data = requests.get(link, headers=headers)
            if data.status_code == 200:
                soup = BeautifulSoup(data.text, 'lxml')
                areas = soup.select('.c_25d')
                
                info = {
                    'type': soup.select('div.breadCrumb span:nth-of-type(3) a')[0].get_text(),
                    'title': soup.select('.mainTitle > h1:nth-of-type(1)')[0].get_text(),
                    'datetime': soup.select('.time')[0].get_text(),
                    'price': soup.select('.price')[0].get_text(),
                    'quality': soup.select('.suUl > li:nth-of-type(2) > div:nth-of-type(2) > span:nth-of-type(1)')[0].get_text(strip=True),
                    'areas': list(areas[0].stripped_strings) if len(areas) > 0 else [],
                    'views': get_views(data.url)     # 使用重定向后的链接
                }
    
                pprint(info)
            time.sleep(1)
    
    if __name__ == '__main__':
        get_info(base_url)
    

    总结

    • 由于链接中存在重定向的链接,所以需要注意要使用重定向后的链接
    • 获取浏览量需要通过其他API接口来进行获取
    • 注意网站的反爬虫机制,可以加上请求头或者通过代理IP

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