I'm trying to pull information from the 'Key Statistics' page for a ticker in Yahoo (since this isn't supported in the Pandas library).
Example for AAPL:
from bs4 import BeautifulSoup
import requests
url = 'http://finance.yahoo.com/quote/AAPL/key-statistics?p=AAPL'
page = requests.get(url)
soup = BeautifulSoup(page.text, 'lxml')
enterpriseValue = soup.findAll('$ENTERPRISE_VALUE', attrs={'class': 'yfnc_tablehead1'}) #HTML tag for where enterprise value is located
print(enterpriseValue)
Edit: thanks Andy!
Question: This is printing an empty array. How do I change my findAll
to return 598.56B
?
答案 0 :(得分:5)
Well, the reason the list that find_all
returns is empty is because that data is generated with a separate call that isn't completed by just sending a GET
request to that URL. If you look through the Network tab on Chrome/Firefox and filter by XHR, by examining the requests and responses of each network action, you can find what you URL you ought to be sending the GET
request too.
In this case, it's https://query2.finance.yahoo.com/v10/finance/quoteSummary/AAPL?formatted=true&crumb=8ldhetOu7RJ&lang=en-US®ion=US&modules=defaultKeyStatistics%2CfinancialData%2CcalendarEvents&corsDomain=finance.yahoo.com
, as we can see here:
So, how do we recreate this? Simple! :
from bs4 import BeautifulSoup
import requests
r = requests.get('https://query2.finance.yahoo.com/v10/finance/quoteSummary/AAPL?formatted=true&crumb=8ldhetOu7RJ&lang=en-US®ion=US&modules=defaultKeyStatistics%2CfinancialData%2CcalendarEvents&corsDomain=finance.yahoo.com')
data = r.json()
This will return the JSON
response as a dict
. From there, navigate through the dict
until you find the data you're after:
financial_data = data['quoteSummary']['result'][0]['defaultKeyStatistics']
enterprise_value_dict = financial_data['enterpriseValue']
print(enterprise_value_dict)
>>> {'fmt': '598.56B', 'raw': 598563094528, 'longFmt': '598,563,094,528'}
print(enterprise_value_dict['fmt'])
>>> '598.56B'