如何将 Div using Beautiful soup python 中的所有 Details 导出到 excel/csv?

How to export all the Details in the Div using Beautiful soup python to excel/csv?

我是 Soup/python 的新手,我正在尝试查找数据。 我的网站结构看起来像这样。

如果我打开 Div 类 border class 它看起来像这样。(下图)

我做过这样的事情:

for  P in soup.find_all('p', attrs={'class': 'bid_no pull-left'}) :
  print(P.find('a').contents[0])

一个Div结构看起来像
每页大约有10个div
我想在其中提取 项目、数量要求、投标编号、结束日期 。 请帮助我

<div class="border block " style="display: block;">
    <div class="block_header">
        <p class="bid_no pull-left"> BID NO: <a style="color:#fff !important" href="/showbidDocument/1844736">GEM/2020/B/763154</a></p> 
        <p class="pull-right view_corrigendum" data-bid="1844736" style="display:none; margin-left: 10px;"><a href="#">View Corrigendum</a></p>

         <div class="clearfix"></div>
    </div>

    <div class="col-block">
        <p><strong style="text-transform: none !important;">Item(s): </strong><span>Compatible Cartridge</span></p>
        <p><strong>Quantity Required: </strong><span>8</span></p>

        <div class="clearfix"></div>
    </div>
    <div class="col-block">
        <p><strong>Department Name And Address:</strong></p>
        <p class="add-height">
            Ministry Of Railways<br> Na<br> South Central Railway N/a
        </p>
        <div class="clearfix"></div>
    </div>
    <div class="col-block">
        <p><strong>Start Date: </strong><span>25-08-2020 02:54 PM</span></p>
        <p><strong>End Date: </strong><span>04-09-2020 03:00 PM</span></p>
        <div class="clearfix"></div>

    </div>


    <div class="clearfix"></div>
</div>

错误图片

使用 requestsbeautiful soup 尝试以下方法。我已经使用从网站获取的 URL 创建了脚本,然后创建一个动态 URL 来遍历每个页面以获取数据。

脚本究竟在做什么:

  1. 第一个脚本将创建一个 URL,其中 page_no 查询字符串参数将在每次遍历完成时递增 1。

  2. 请求将使用get方法从创建的URL中获取数据,然后传递给beautiful soup进行解析HTML使用 lxml.

    的结构
  3. 然后从解析的数据脚本中搜索 div 数据实际存在的地方。

  4. 最后对所有div文本数据逐页循环。

    ```python
    import requests
    from urllib3.exceptions import InsecureRequestWarning
    requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
    from bs4 import BeautifulSoup as bs
    
    def scrap_bid_data():
    
    page_no = 1 #initial page number
    while True:
        print('Hold on creating URL to fetch data...')
        URL = 'https://bidplus.gem.gov.in/bidlists?bidlists&page_no=' + str(page_no) #create dynamic URL
        print('URL cerated: ' + URL)
    
        scraped_data = requests.get(URL,verify=False) # request to get the data
        soup_data = bs(scraped_data.text, 'lxml') #parse the scraped data using lxml
        extracted_data = soup_data.find('div',{'id':'pagi_content'}) #find divs which contains required data
    
        if len(extracted_data) == 0: # **if block** which will check the length of extracted_data if it is 0 then quit and stop the further execution of script.
            break
        else:
            for idx in range(len(extracted_data)): # loops through all the divs and extract and print data
                if(idx % 2 == 1): #get data from odd indexes only because we have required data on odd indexes
                    bid_data = extracted_data.contents[idx].text.strip().split('\n')
                    print('-' * 100)
                    print(bid_data[0]) #BID number
                    print(bid_data[5]) #Items
                    print(bid_data[6]) #Quantitiy Required
                    print(bid_data[10] + bid_data[12].strip()) #Department name and address
                    print(bid_data[16]) #Start date
                    print(bid_data[17]) #End date                   
                    print('-' * 100)
    
            page_no +=1 #increments the page number by 1
    
     scrap_bid_data()
     ```
    

Actual Code

Output image