Has Yahoo suddenly today terminated its finance download API?

Question

For months I've been using a url like this, from perl:

http://finance.yahoo.com/d/quotes.csv?s=$s&f=ynl1 #returns yield, name, price; 

Today, 11/1/17, it suddenly returns a 999 error.

Is this a glitch, or has Yahoo terminated the service?

I get the error even if I enter the URL directly into a browser as, eg:

http://finance.yahoo.com/d/quotes.csv?s=INTC&f=ynl1 

so it doesn't seem to be a 'crumb' problem.

Note: This is NOT a question which has been answered in the past! It was working yesterday.That it happened on the first of the month is suspicious.

Answer 1

Yahoo confirmed that they terminated the service:

It has come to our attention that this service is being used in violation of the Yahoo Terms of Service. As such, the service is being discontinued. For all future markets and equities data research, please refer to finance.yahoo.com .

Answer 2

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)