我正在尝试使用 beautiful soup 和 FindALL 方法解析 HTML 文档，但我似乎无法隔离我需要的信息。我查看了文档和一些教程，也许是因为我是初级开发人员，但我似乎无法隔离数字和链接。

这是一个包含基本信息的虚拟 HTML 表格：

<tbody>                                    
                                            <tr class="results_row2">
                                                <td align="left">
                                                    Text is here ispssgjj sgdhjksgd jhsgd sgd
                                                </td>
                                                <td align="left">
                                                    GHJSFAGHJSFA GAFGSH AGSHSAGJH
                                                </td>
                                                <td align="left">
                                                    hdjk sgdhjk fdhjk sdhjk sdghjk
                                                </td>
                                                <td align="center">
                                                    11/10/1964
                                                </td>
                                                <td align="left">
                                                    
                                                </td>
                                                <td align="center">
                                                    5
                                                </td>


                                                <td align="center">
                                                    
                                                    <a href="javascript:confirm_delete('informatjon I need to ignore IS HERE')">Delete</a>
                                                    
                                                            <br>
                                                            <a href="javascript:PBC('information I need to grab via parse comes from here ')">LINK TITLE</a>
                                                            
                                                    <br>
                                        
                                                </td>
                                            </tr>
                                                                               
                                </tbody>

当我运行程序时，我需要它为每一行（即一行）提取以下内容： 日期（但重新排列为 YYMMDD，即 641110）以及显示“LINK GOES HERE”的字符串（但我必须将其与另一个字符串连接以使其成为有效链接）

我不需要任何其他信息，例如链接位于此处或乱码文本（例如 Hjkhjksgd）

编辑：我还需要能够以正确的可信度登录网页位置（我有密码和用户名）

希望我的代码足够清晰，我有一些打印来帮助我理解变量等。我也对其他方式持开放态度，我似乎无法弄清楚美丽的熊猫或硒...... 到目前为止我已经得到了这个：

import requests
from urllib.parse import urljoin
from bs4 import BeautifulSoup

#label the file location
file_location = r"Destination goes here"

#open the file up
with open(file_location, 'r') as f:
    file = f.read() 

#create a soup
soup= BeautifulSoup(file, "html.parser")
#print(f"soup is {soup}")     

#find all the tags that match what we want
script = soup.findAll('td', id='center')

print('begning loop')

#this is to find the date I am going to make a separate loop to find the print certificate 
#loop through the tags and check for what we want 
for i in range (0, len(script)):
        #these two variables are me trying to convert the tag to a variable to be used to check
    scriptString = str(script[i])
    scriptInt = int(script[i])
    
        #print(f'Starting loop i is: {i}')
        # Every 7th cell seems to be a number....
    if((i+4)%7 == 0):
        print(f'Starting IF i is: {i}')
        print(f'int test is {scriptInt}')
        #print(f'script is {script[i]} quote end')
                #this was to find out which part of the string was a number and it's 80% accurate 
        #for j in range (0, len(scriptString)):
            #print(f' j is {j} and string is {scriptString[j]}')
    #this printed the YYMMDD    
        print(f'Rewritten the string is: "{scriptString[41]}{scriptString[42]}{scriptString[33]}{scriptString[34]}{scriptString[36]}{scriptString[37]}" quote end')


print("end")

我尝试从表中取出字符串，但它看起来不是 int，而且字符串非常混乱。由于字符串的混乱，我无法将它与我想要的进行比较。由于存在多个 td 标签，我无法通过 td 隔离它。

对于任何试图做类似事情的人来说，这里有一些带有占位符的简单英语代码，由于这个原因，该代码将无法按原样编译...非常感谢答案的帮助！！！

'''
To start this program you will need to go to Google Developer Tools
while you are in the website that you want to access
Go to the tab Network and right click Copy as Curl (Bash)
Copy that info to curlconverter.com to get the required code
'''

print('begin program')

#Import libraries
import requests
import os
from bs4 import BeautifulSoup  
import pdfkit
import re
from datetime import datetime

'''
Get cookies by opening Google Chrome Develope Tools network tab, then sign in (or sign out and sign in if you are already signed in) and then click on login (probably the top one) and right click and then click copy (and as of this comment), it has an arrow and click on copy as curl (bash) 
Curl your website using https://curlconverter.com/
it'll generate you some python code, copy and paste it below, but move the response to below 
'''


# normally you will use url, but we want the welcome page to check to see if we have made a successful connection
response = requests.post(
    'YOUR URL GOES HERE',
    params=params,
    cookies=cookies,
    headers=headers,
    data=data,
)

#store the file into soup and then parse it below to see if it goes to the login screen or welcome screen 
soup = BeautifulSoup(response.content, 'html.parser')

#were putting a try here because soup might have been stored as a nonetype which isn't itterable so it'll also end the program if not caught
try:
    #Check if it is stuck on the Login page to see if your cookies didn't work
    if "LOGIN PAGE DESCRIMINATOR " in soup.find('title'): 
        print("ERROR cookies not getting you past the login screen you will have problems finding the PDFS")
        raise UnicodeError 

   
    PDFArray  = [First, second, etc.]
    tempFileLocation = r"FILE LOCATION PATH GOES HERE"
    totalErrors = 0 
    #these are the dates to search between. 
    lowerYear = 2020
    higherYear = 2023

    print('Connection & Login succesful, looping through PDFs Array\n')

    #this loop goes through each of the Pagess in the array 
    for i in (range(0,len(PDFArray))):

        #print(f'begining {PDFArray[i]}\'s loop which is {i+1} in the Array')

        #declare the variables for this loop
        grandTotalNumPDFs = grandTotalNumPDFs + totalNumPDFs
        PDFFromArray = PDFArray[i]                               
        
        #reseting these variables back to 0 for this loop, as this is now a new PDF so reset the totals etc.
        totalNumPDFs = 0
        previousDateObj = 0
        
        #updating the URL and folder location to draw from and save to 
        url = f'Specific URL with your needed alterations to download PDFs'
        folder_location = os.path.join(r"PATH TO THE FOLDER",str(PDFFromArray))
        if not os.path.exists(folder_location):os.mkdir(folder_location)
       
       #We want to pull the HTML from the website to parse
        response = requests.post(
            url,
            params=params,
            cookies=cookies,
            headers=headers,
            data=data,
        )
        
        #store the HTML in the soup from the response 
        soup = BeautifulSoup(response.content, 'html.parser')
        
        #Let the Pages Know if the connection was succesful or not 
        print(f'For PDF:{PDFFromArray} it\'s {response.status_code==200} a connection was succesful and it\'s { the test you did above to see if it is stuck at the login page or not} that login was succesful')

        
        #to ensure that we are logging in and not stuck at the login screen 
        if "Your login specific info for the IF statement" in soup.find('title'):
            print(f"ERROR cookies not getting you past the login screen you will have problems finding the PDFS")
            #if it comes up with a timberlake login then you want to stop processing to prevent useless PDFs
            raise TypeError
   
        #parse the first part by finding all the ones with the tag td and the (I cant remember what it's called) of align center
        script = soup.findAll("td", align="center")
        
        #this is to show the Pages stuff is happening etc. but not super useful and kinda cumbersome so commented out but used for debugging
        #print(f"Begining the script loop for {PDFFromArray} it is {len(script)} tags long")

        #loop through everything in the script to parse it 
        for i in script:
        
            # We want to grab the date for later use.
            try:
                date_obj = datetime.strptime(i.text.strip(), "%m/%d/%Y")
                month = str(date_obj.month).zfill(2) # zero padding
                day = str(date_obj.day).zfill(2) # zero padding
          
          #Catch the value error so it doesn't crash 
            except ValueError:
                pass
                
            #get rid of everything that's NOT a "a" tag
            a_tags = i.findAll("a")

            #further parsing of the "a" tag
            if a_tags:

                # parsing JavaScript
                for a in a_tags:
                    pattern = r"\('(.*?)'\)"

                    #look for the particular stuff that has the javascript in it 
                    match = re.search(pattern, a["href"])

                    if match:
                        #match group 1 gets the first parenthese group e.g. in the follwoing it will pick only javascript 1 javascript(1), javascript(2) 
                        content = match.group(1)

                        #now we want ONLY the javascript that has our text which fortuneatly has this in it 
                        if "The str to find only your content" in content:

                            #next check to see if the certificate is inside the date range we want
                            if(date_obj.year >= lowerYear and date_obj.year <= higherYear):
                                
                                #Check to see if we need to add a suffix (e.g., -1 -2 -3 etc. to the filename and if so increase it otherwise reset to 0
                                if(date_obj == previousDateObj): duplicateNum = duplicateNum + 1
                                else: duplicateNum = 0
                                
                                #save the current date to check the next one
                                previousDateObj = date_obj
                                
                                #increase the print certificates by one
                                totalNumPDFs = totalNumPDFs + 1
                                
                                #set the correct URL to obtain the html version of the certificate to then be converted to HTML 
                                url = f"your URL goes here "
                               
                                #if it's a duplicate date go ahead and add a dash and number otherwise just add the normal stuff 
                                if duplicateNum > 0:
                                    filename = f"{PDFFromArray}{str(date_obj.year)[-2:]}{month}{day}-{duplicateNum}.pdf"
                                    duplicateNum = duplicateNum + 1
                                else:
                                    filename = f"{PDFFromArray}{str(date_obj.year)[-2:]}{month}{day}.pdf"
                                
                                #set the file path 
                                file_path = os.path.join(folder_location,os.path.basename(filename))
                                
                                #We've already done the cookies above so we just make a new request with the updated URL 
                                response = requests.post(
                                    url,
                                    params=params,
                                    cookies=cookies,
                                    headers=headers,
                                    data=data,
                                )
                                
                                #if the response was good go ahead otherwise print an error
                                if(response.status_code == 200):
                                  
                                    soup = response.content
                                    
                                    #write the content to the tempFileLocation to be converted to a PDF in the next step 
                                    with open(tempFileLocation, 'wb') as f:
                                            f.write(response.content)
                                            
                                    #in case a file is open or other problem 
                                    try:
                                        #write the file to a PDF    
                                        pdfkit.from_file(tempFileLocation, file_path)
                                    except:
                                        print(f'ERROR: Couldn\'t save {filename} because {file_path} is NOT VALID... or some other reason')
                                        totalErrors = totalErrors + 1
                                        #this isn't a critical error so just flag it and move on
                                        pass
                                    
                                #else if this was something besides 200 ( a valid one) print an error
                                else: print(f"ERROR: STATUS CODE WAS NOT 200 for {PDFFromArray} with the url {url} when trying to write out the temporary file")
                                    
                        #else if this does not have a print certificate in it, then add one to the totalNumDelete
                        else: totalNumDelete = totalNumDelete + 1
           
           #this is the end of the loop for the Pages, and loops to the next Pages in the array
        print(f'End of searching through PDF:{PDFFromArray}\'s page, {totalNumPDFs} valid PDFs were found, between the dates of {lowerYear} - {higherYear} \n')

    print(f'\nEnd of the program, program searched {len(PDFArray)} Pages and found, and downloaded {grandTotalNumPDFs} PDFs between the dates of {lowerYear} - {higherYear} and had {totalErrors} error(s) saving documents')

## These are to catch all the errors from the begining of the program
except TypeError: 
    print("PROGRAM END WITH ERROR: TYPE ERROR, meaning the Cookie probably is NO GOOD! or expired. and you got stuck at the login screen, and to prevent a bunch of PDFs with the login screen the program has been aborted")
except:
    print('This is a general catch all ERROR no idea what went wrong here')