Has Yahoo suddenly today terminated its finance download API?

As noted in the other answers and elsewhere (e.g. https://stackoverflow.com/questions/47076404/currency-helper-of-yahoo-sorry-unable-to-process-request-at-this-time-erro/47096766#47096766), Yahoo has indeed ceased operation of the Yahoo Finance API. However, as a workaround, you can access a trove of financial information, in JSON format, for a given ticker symbol, by doing a HTTPS GET request to: https://finance.yahoo.com/quote/SYMBOL (e.g. https://finance.yahoo.com/quote/MSFT). If you do a GET request to the above URL, you’ll see that the financial data is contained within the response in JSON format. The following python3 script shows how you can parse individual values that you may be interested in:

import requests
import json

symbol="MSFT"
url="https://finance.yahoo.com/quote/" + symbol
resp = requests.get(url)

# parse the section from the html document containing the raw json data that we need
# you can write jsonstr to a file, then open the file in a web browser to browse the structure of the json data
r = str(resp.content, 'utf-8')
i1 = 0
i1 = r.find('root.App.main', i1)
i1 = r.find('{', i1)
i2 = r.find("\n", i1)
i2 = r.rfind(';', i1, i2)
jsonstr = r[i1:i2]      

# load the raw json data into a python data object
data = json.loads(jsonstr)

# pull the values that we are interested in 
name = data['context']['dispatcher']['stores']['QuoteSummaryStore']['price']['shortName']
price = data['context']['dispatcher']['stores']['QuoteSummaryStore']['price']['regularMarketPrice']['raw']
change = data['context']['dispatcher']['stores']['QuoteSummaryStore']['price']['regularMarketChange']['raw']
shares_outstanding = data['context']['dispatcher']['stores']['QuoteSummaryStore']['defaultKeyStatistics']['sharesOutstanding']['raw']
market_cap = data['context']['dispatcher']['stores']['QuoteSummaryStore']['summaryDetail']['marketCap']['raw']
trailing_pe = data['context']['dispatcher']['stores']['QuoteSummaryStore']['summaryDetail']['trailingPE']['raw']
earnings_per_share = data['context']['dispatcher']['stores']['QuoteSummaryStore']['defaultKeyStatistics']['trailingEps']['raw']
forward_annual_dividend_rate = data['context']['dispatcher']['stores']['QuoteSummaryStore']['summaryDetail']['dividendRate']['raw']
forward_annual_dividend_yield = data['context']['dispatcher']['stores']['QuoteSummaryStore']['summaryDetail']['dividendYield']['raw']

# print the values
print('Symbol:', symbol)
print('Name:', name)
print('Price:', price)
print('Change:', change)
print('Shares Outstanding:', shares_outstanding)
print('Market Cap:', market_cap)
print('Trailing PE:', trailing_pe)
print('Earnings Per Share:', earnings_per_share)
print('Forward Annual Dividend Rate:', forward_annual_dividend_rate)
print('Forward_annual_dividend_yield:', forward_annual_dividend_yield)

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