雅虎今天突然终止了其财务下载API吗? [英] Has Yahoo suddenly today terminated its finance download API?

问题描述

几个月来，我一直在使用来自perl的这样的网址:

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;

今天，2017年11月1日，它突然返回999错误.

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

这是小故障还是雅虎终止了该服务?

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

即使我直接将URL输入浏览器，例如，我也会收到错误消息:

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

所以这似乎不是一个笨拙"的问题.

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

注意:这不是过去已回答的问题！ 它昨天工作了，那是在本月的第一天发生的，这令人怀疑.

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.

推荐答案

如其他答案和其他地方所述(例如

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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