格式化从 dropdwon 框中抓取的数据并将数据添加到 Python Beautifulsoup 中的结果中 [英] Formatting grabbed data from dropdwon boxes and adding data into the result in Python Beautifulsoup

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本文介绍了格式化从 dropdwon 框中抓取的数据并将数据添加到 Python Beautifulsoup 中的结果中的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我有以下代码部分运行但结果显示非常混乱.我需要有关如何获取附加数据以及输出格式的帮助.

I have the following code that partially runs but with a very messy result display. I need help on how to get the additional data as well formatting of the output.

from urllib.request import Request, urlopen
from bs4 import BeautifulSoup
import re, random, ctypes
import requests, os
from time import sleep
import beepy as beep
from time import strftime
import datetime

user_agent_list = [
"header = {'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:86.0Gecko/20100101 Firefox/86.0'}",
"header = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36'}",
"header = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_5) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/13.1.1 Safari/605.1.15'}",
"header = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36'}",
"header = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.2; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1667.0 Safari/537.36'}",
"header = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.67 Safari/537.36'}"
]
header = random.choice(user_agent_list)

line = "https://bscscan.com/address/0x639AD7c49EC616a64e074c21a58608C0d843A8a3"
contractpage = requests.get(line,header)
ca = BeautifulSoup(contractpage.content, 'html.parser')
contractcreator = ca.find(id='ContentPlaceHolder1_trContract').get_text()

tokenname = ca.find(id='ContentPlaceHolder1_tr_tokeninfo').get_text()
transcount = ca.find('p', class_='mr-2 mb-2').get_text()
tokencount = ca.find(id='ContentPlaceHolder1_tokenbalance').get_text()

print (contractcreator)
print ("Token Name: ", tokenname)
print ("Trans Count: ", transcount)
print ("Token Count: ", tokencount)

当前输出:#-- 非常非常混乱,缺少一些预期数据

Current Output: #-- very, very messy with some intended data missing

ContractCreator:
0x7ab96edb99e1faa06238609947792038520f1a3c at txn 0x51a8db6ac707dcd9644b5400b533c9bbe95243054c9c67e8a8aeeab38c7f7e79

Token Name:  
TokenTracker:
 TripCandy (CANDY)
Trans Count:  
 Latest 25 from a total of 2,878 transactions

Token Count:  
Token:
$726.10
3

Could not find any matches! Token display limit reached. Click to Show more

 BEP-20 Tokens (3)    Minereum BSC (MNEB)150,000 MNEB Neftipedia (NFT)1 NFT$0.01@0.0086TripCandy (CANDY)76,581.46551862 CANDY$726.09@0.0095

想要的输出:#-- 运行代码时提取的当前数据

Wanted Output: #-- current data extracted when I run the code

ContractCreator: 0x7ab96edb99e1faa06238609947792038520f1a3c
Txn:             0x51a8db6ac707dcd9644b5400b533c9bbe95243054c9c67e8a8aeeab38c7f7e79
Token Name:      TripCandy (CANDY)
Trans Count:     2,875
Balance:         0.498586644749540253 BNB #-- needed additional data
Tokens ValCount: $732.78 / 3              #-- needed additional data and formatting
Token List:      BEP-20 Tokens (3)        #-- data from the dropdown box
                 Minereum BSC (MNEB)150,000 MNEB
                 Neftipedia (NFT)1                - $0.01 @ 0.0086
                 TripCandy (CANDY)76,581.46551862 - $732.77 @ 0.0096

推荐答案

import requests
from bs4 import BeautifulSoup
from pprint import pp

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:90.0) Gecko/20100101 Firefox/90.0'
}

adds = [
    '0x639AD7c49EC616a64e074c21a58608C0d843A8a3'
]


def main(url):
    with requests.Session() as req:
        req.headers.update(headers)
        for add in adds:
            r = req.get(url.format(add))
            soup = BeautifulSoup(r.text, 'lxml')
            goal = soup.select('div.card-body')
            data = {
                'ContractCreator': goal[1].select_one('a.hash-tag').text,
                'Txn': goal[1].select('a.hash-tag')[1].text,
                'Token Name': goal[1].select('a')[3].text,
                'Trans Count': soup.select_one('p.mr-2 a').text,
                'Balance': goal[0].select_one('.col-md-8').get_text(strip=True),
                'Tokens ValCount': " / ".join(list(goal[0].select_one('.position-relative').stripped_strings)[:2]),
                'Token List': [x.get_text(strip=True) for x in soup.select('.list.list-unstyled strong, .list-name')]
            }
            pp(data)


main('https://bscscan.com/address/{}')

输出:

{'ContractCreator': '0x7ab96edb99e1faa06238609947792038520f1a3c',
 'Txn': '0x51a8db6ac707dcd9644b5400b533c9bbe95243054c9c67e8a8aeeab38c7f7e79',    
 'Token Name': 'TripCandy (CANDY)',
 'Trans Count': '2,880',
 'Balance': '0.498586644749540253 BNB',
 'Tokens ValCount': '$727.19 / 3',
 'Token List': ['BEP-20 Tokens',
                'Minereum BSC (MNEB)',
                'Neftipedia (NFT)',
                'TripCandy (CANDY)']}

这篇关于格式化从 dropdwon 框中抓取的数据并将数据添加到 Python Beautifulsoup 中的结果中的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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