soup.find nicht mehr Text auf Yahoo Finance finden

Question

ich folgende Fehlermeldung erhalte:

Invalid figure 'Total Cash Flow From Operating Activities' passed.

Aus dieser url:

Scrape Yahoo Finance Income Statement with Python

„Dies wird ein wenig schwieriger, weil die "Net Income" in einem starken Tag eingeschlossen "

Kann mir jemand erklären, warum dieser Code nicht funktioniert für Total Cash Flow aus der Geschäftstätigkeit und wie ich ca n bestimmen, dass etwas eine starke Markierung hat?

Code:

import re, requests 
from bs4 import BeautifulSoup 
import sys 
""" 
import os # file system operations 
import re # regular expressions 
import pandas as pd # pandas... the best time series library out there 
import datetime as dt # date and time functions 
import io 
""" 
# search with regular expressions 

# "CrumbStore":\{"crumb":"(?<crumb>[^"]+)"\} 

def get_crumb(): 
    url = 'https://uk.finance.yahoo.com/quote/AAPL/history' # url for a ticker symbol, with a download link 
    r = requests.get(url) # download page 

    txt = r.text # extract html 

    cookie = r.cookies['B'] # the cooke we're looking for is named 'B' 
    print('Cookie: ', cookie) 

    # Now we need to extract the token from html. 
    # the string we need looks like this: "CrumbStore":{"crumb":"lQHxbbYOBCq"} 
    # regular expressions will do the trick! 

    pattern = re.compile('.*"CrumbStore":\{"crumb":"(?P<crumb>[^"]+)"\}') 

    for line in txt.splitlines(): 
     m = pattern.match(line) 
     if m is not None: 
      crumb = m.groupdict()['crumb'] 


    print('Crumb=',crumb) 
    return crumb 

def periodic_figure_values(soup, yahoo_figure): 

    values = [] 
    pattern = re.compile(yahoo_figure) 

    title = soup.find("strong", text=pattern) # works for the figures printed in bold 
    if title: 
     row = title.parent.parent 
    else: 
     title = soup.find("td", text=pattern) # works for any other available figure 
     if title: 
      row = title.parent 
     else: 
      sys.exit("Invalid figure '" + yahoo_figure + "' passed.") 

    cells = row.find_all("td")[1:] # exclude the <td> with figure name 
    for cell in cells: 
     if cell.text.strip() != yahoo_figure: # needed because some figures are indented 
      str_value = cell.text.strip().replace(",", "").replace("(", "-").replace(")", "") 
      if str_value == "-": 
       str_value = 0 
      value = int(str_value) * 1000 
      values.append(value) 
    return values 

def financials_soup(ticker_symbol, statement, quarterly=False): 
    if statement == "is" or statement == "bs" or statement == "cf": 
     crumb = get_crumb() 
     url = "https://finance.yahoo.com/q/" + statement + "?s=" + ticker_symbol + "&crumb=" + crumb 
     if not quarterly: 
      url += "&annual" 
     return BeautifulSoup(requests.get(url).text, "html.parser") 

    return sys.exit("Invalid financial statement code '" + statement + "' passed.") 

print(periodic_figure_values(financials_soup("AAPL", "cf"), "Total Cash Flow From Operating Activities")) 

Edit:

konnte ich Ergebnisse erhalten, indem die financials_soup Funktion auf die folgende Veränderung:

def financials_soup(ticker_symbol, statement, quarterly=False): 
    if statement == "financials" or statement == "balance-sheet" or statement == "cash-flow": 
     crumb = get_crumb() 
     url = "https://finance.yahoo.com/quote/" + ticker_symbol + "/" + statement + "?p=" + ticker_symbol + "&crumb=" + crumb 
     if not quarterly: 
      url += "&annual" 
     return BeautifulSoup(requests.get(url).text, "html.parser") 

    return sys.exit("Invalid financial statement code '" + statement + "' passed.") 

Answer 1

Wenn Sie die Quelle überprüfen, indem Sie Ihren Link zurück (in Zeile 69):

url = " https://finance.yahoo.com/q/ " + statement + "?s=" + ticker_symbol + "&crumb=" + crumb

Sie werden sehen, dass es keine nützlichen Informationen über Total Cash Flow From Operating Activities enthält. Wenn Sie ändern, dass in

url = " https://finance.yahoo.com/quote/ " + ticker_symbol + "/cash-flow?p=" + ticker_symbol

Es wird die Information zurückgeben, die Sie suchen:

[65824000000, 81266000000, 59713000000]