python爬虫：爬取豌豆荚APP第一页数据信息（爬虫三部曲）

拼搏现实的明天。 2021-11-29 06:32 417阅读 0赞

''' 爬取豌豆荚app数据 -请求url： page1： https: / /wwW . wandouj ia . com/wdjweb/api/ category/more? catId=6001&subCatId=0&page=2&ctoken=vbw9lj1sRQsRddx0hD-XqCNF '''
    # 1.发送请求
    import  re
    import  requests
    from bs4 import BeautifulSoup
    def get_page(url):
        requests.get(url)
     # 2.解析数据 def parse_data(text):
        soup = BeautifulSoup(text,'lxml')
        print(soup)
        li_list = soup.find_all(name = 'li',class_='card')
        # print(li_list)
    
        for li in li_list:
            print(li)
            print('tank' * 100 )
            app_name = li.find(name = 'a',class_='name').text
            print(app_name)
            qpp_url = li.find(name = 'a',class_='name').attrs.get('href')
            print(qpp_url)
    
            download_num = li.find(name='span',class_='install-count').text
            print(download_num)
    
            app_size = li.find(name='span',attrs={"title":re._compile('\d+MB')}).text
            print(app_size)
    
            app_data ='''
            游戏名称：{}
            游戏地址：{}
            下载人数：{}
            游戏大小：{}
            \n
            '''.format(app_name,qpp_url,download_num,app_size)
            print(app_data)
            with  open('wandoujia.text','a',encoding='utf-8') as f:
                f.write(app_data)
                f.flush()
    
    
    if __name__ == '__main__':
        for line in range(1,31):
            url='https: / /wwW . wandouj ia . com/wdjweb/api/ category/more?catId=6001&subCatId=0&page=2{}&ctoken=vbw9lj1sRQsRddx0hD-XqCNF'.format(line)
            print(url)
    
            # 1.发送请求 # 往接口发送请求获取响应数据         response = get_page(url)
            # print(response.text)
            import  json
            # json.loads(response.text)
            # print(type(response.jason()))
            # print(type(response.text))
            # print('tank' * 1000)
    
            # 把json数据格式转换成python的字典         data = response.json()
    
            # print(data['state'])
    
            print(data.get('state').get('content'))
    
            parse_data(type(response.text))

转载于:https://www.cnblogs.com/Auraro997/p/11130417.html