用BeautifulSoup解析數據並用熊貓數據存儲DataFrame to_csv

Question

因此，我的目標是解析網站中的數據並將這些數據存儲在格式化爲可在Excel中打開的文本文件中。 下面是代碼：

from bs4 import BeautifulSoup 
import requests 
import pprint 
import re 
import pyperclip 
import json 
import pandas as pd 
import csv 

pag = range (2,126) 
out_file=open('bestumbrellasoffi.txt','w',encoding='utf-8') 
with open('bestumbrellasoffi.txt','w', encoding='utf-8') as file: 
    for x in pag: 
    #iterate pages 
     url = 'https://www.paginegialle.it/ricerca/lidi%20balneari/italia/p- 
     '+str(x)+'?mr=50' 
     response = requests.get(url) 
     soup = BeautifulSoup(response.content, "html.parser") 
      #parse data 
     for i,j,k,p,z in zip(soup.find_all('span', attrs= 
{'itemprop':'name'}),soup.find_all('span', attrs= 
{'itemprop':'longitude'}),soup.find_all('span', attrs= 
{'itemprop':'latitude'}),soup.find_all('span', attrs={'class':'street- 
address'}), soup.find_all('div', attrs={'class':'tel elementPhone'})): 
      info=i.text,j.text,k.text,p.text,z.text 
      #check if data is good 
      print(url) 
      print (info) 
      #create dataframe 
      raw_data = { 'nome':[i],'longitudine':[j],'latitudine': 
      [k],'indirizzo':[p],'telefono':[z]} 
      print(raw_data) 
      df=pd.DataFrame(raw_data, columns = 
       ['nome','longitudine','latitudine','indirizzo','telefono']) 
      df.to_csv('bestumbrellasoffi.txt') 


out_file.close() 

有所有這些模塊，因爲我做了很多嘗試。 所以 打印（信息）的輸出is

打印（raw_data）is

EDIT

此的輸出是審查並充分發揮功能的代碼。

感謝所有耐心等待！

from bs4 import BeautifulSoup 

導入請求 進口pprint 進口重新 進口pyperclip 進口JSON 進口熊貓作爲PD 導入CSV

PAG =範圍（2126） 張開（ 'bestumbrellasoffia.txt'，」 a'，encoding ='utf-8'）作爲文件：

for x in pag: 
#iterate pages 
    url = 'https://www.paginegialle.it/ricerca/lidi%20balneari/italia/p-'+str(x)+'?mr=50' 
    response = requests.get(url) 
    soup = BeautifulSoup(response.content, "html.parser") 
    raw_data = { 'nome':[],'longitudine':[],'latitudine':[],'indirizzo':[],'telefono':[]} 
    df=pd.DataFrame(raw_data, columns = ['nome','longitudine','latitudine','indirizzo','telefono']) 
     #parse data 
    for i,j,k,p,z in zip(soup.find_all('span', attrs={'itemprop':'name'}),soup.find_all('span', attrs={'itemprop':'longitude'}),soup.find_all('span', attrs={'itemprop':'latitude'}),soup.find_all('span', attrs={'class':'street-address'}), soup.find_all('div', attrs={'class':'tel elementPhone'})): 
     inno=i.text.lstrip() 
     ye=inno.rstrip() 
     info=ye,j.text,k.text,p.text,z.text 
     #check if data is good 
     print(info) 
     #create dataframe 
     raw_data = { 'nome':[i],'longitudine':[j],'latitudine':[k],'indirizzo':[p],'telefono':[z]} 
     #try dataframe 
     #print(raw_data) 
     file.write(str(info)+"\n") 

Answer 1

您正在初始化新的數據幀for循環的每一次迭代。

您應該在循環外初始化它，然後在循環中使用append（）來添加每行數據。