雅虎股票API
缺点：不返回中文股票名字
原文地址：http://0411.iteye.com/blog/1068239
参考文章：http://www.gummy-stuff.org/Yahoo-data.htm
1.获取实时数据
http://finance.yahoo.com/d/quotes.csv?s=股票名称&f=数据列选项
s — 表示股票名称，多个股票之间使用英文加号分隔，如“XOM+BBDb.TO+JNJ+MSFT”，罗列了四个公司的股票：XOM, BBDb.TO, JNJ, MSFT。
f — 表示返回数据列，如“snd1l1yr”。更详细的参见附录
2.历史数据请求
http://ichart.yahoo.com/table.csv?s=string&a=int&b=int&c=int&d=int&e=int&f=int&g=d&ignore=.csv
s — 股票名称
a — 起始时间，月
b — 起始时间，日
c — 起始时间，年
d — 结束时间，月
e — 结束时间，日
f — 结束时间，年
g — 时间周期。
Ø 参数g的取值范围：d->‘日’(day), w->‘周’(week)，m->‘月’(mouth)，v->‘dividends only’
Ø 月份是从0开始的，如9月数据，则写为08。
示例
查询浦发银行2010.09.25 – 2010.10.8之间日线数据
http://ichart.yahoo.com/table.csv?s=600000.SS&a=08&b=25&c=2010&d=09&e=8&f=2010&g=d
查看国内沪深股市的股票，规则是：沪股代码末尾加.ss，深股代码末尾加.sz。如浦发银行的代号是：600000.SS
附录
雅虎股票API f参数对照表| a | Ask | a2 | Average Daily Volume | a5 | Ask Size |
| b | Bid | b2 | Ask (Real-time) | b3 | Bid (Real-time) |
| b4 | Book Value | b6 | Bid Size | c | Change & Percent Change |
| c1 | Change | c3 | Commission | c6 | Change (Real-time) |
| c8 | After Hours Change (Real-time) | d | Dividend/Share | d1 | Last Trade Date |
| d2 | Trade Date | e | Earnings/Share | e1 | Error Indication (returned for symbol changed / invalid) |
| e7 | EPS Estimate Current Year | e8 | EPS Estimate Next Year | e9 | EPS Estimate Next Quarter |
| f6 | Float Shares | g | Day’s Low | h | Day’s High |
| j | 52-week Low | k | 52-week High | g1 | Holdings Gain Percent |
| g3 | Annualized Gain | g4 | Holdings Gain | g5 | Holdings Gain Percent (Real-time) |
| g6 | Holdings Gain (Real-time) | i | More Info | i5 | Order Book (Real-time) |
| j1 | Market Capitalization | j3 | Market Cap (Real-time) | j4 | EBITDA |
| j5 | Change From 52-week Low | j6 | Percent Change From 52-week Low | k1 | Last Trade (Real-time) With Time |
| k2 | Change Percent (Real-time) | k3 | Last Trade Size | k4 | Change From 52-week High |
| k5 | Percebt Change From 52-week High | l | Last Trade (With Time) | l1 | Last Trade (Price Only) |
| l2 | High Limit | l3 | Low Limit | m | Day’s Range |
| m2 | Day’s Range (Real-time) | m3 | 50-day Moving Average | m4 | 200-day Moving Average |
| m5 | Change From 200-day Moving Average | m6 | Percent Change From 200-day Moving Average | m7 | Change From 50-day Moving Average |
| m8 | Percent Change From 50-day Moving Average | n | Name | n4 | Notes |
| o | Open | p | Previous Close | p1 | Price Paid |
| p2 | Change in Percent | p5 | Price/Sales | p6 | Price/Book |
| q | Ex-Dividend Date | r | P/E Ratio | r1 | Dividend Pay Date |
| r2 | P/E Ratio (Real-time) | r5 | PEG Ratio | r6 | Price/EPS Estimate Current Year |
| r7 | Price/EPS Estimate Next Year | s | Symbol | s1 | Shares Owned |
| s7 | Short Ratio | t1 | Last Trade Time | t6 | Trade Links |
| t7 | Ticker Trend | t8 | 1 yr Target Price | v | Volume |
| v1 | Holdings Value | v7 | Holdings Value (Real-time) | w | 52-week Range |
| w1 | Day’s Value Change | w4 | Day’s Value Change (Real-time) | x | Stock Exchange |
| y | Dividend Yield |
例子：
#!/usr/bin/env python # # Copyright (c) 2007-2008, Corey Goldberg (corey@goldb.org) # # license: GNU LGPL # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation; either # version 2.1 of the License, or (at your option) any later version. import urllib """ This is the "ystockquote" module. This module provides a Python API for retrieving stock data from Yahoo Finance. sample usage: >>> import ystockquote >>> print ystockquote.get_price('GOOG') 529.46 """ def __request(symbol, stat): url = 'http://finance.yahoo.com/d/quotes.csv?s=%s&f=%s' % (symbol, stat) return urllib.urlopen(url).read().strip().strip('"') def get_all(symbol): """ Get all available quote data for the given ticker symbol. Returns a dictionary. """ values = __request(symbol, 'l1c1va2xj1b4j4dyekjm3m4rr5p5p6s7').split(',') data = {} data['price'] = values[0] data['change'] = values[1] data['volume'] = values[2] data['avg_daily_volume'] = values[3] data['stock_exchange'] = values[4] data['market_cap'] = values[5] data['book_value'] = values[6] data['ebitda'] = values[7] data['dividend_per_share'] = values[8] data['dividend_yield'] = values[9] data['earnings_per_share'] = values[10] data['52_week_high'] = values[11] data['52_week_low'] = values[12] data['50day_moving_avg'] = values[13] data['200day_moving_avg'] = values[14] data['price_earnings_ratio'] = values[15] data['price_earnings_growth_ratio'] = values[16] data['price_sales_ratio'] = values[17] data['price_book_ratio'] = values[18] data['short_ratio'] = values[19] return data def get_price(symbol): return __request(symbol, 'l1') def get_change(symbol): return __request(symbol, 'c1') def get_volume(symbol): return __request(symbol, 'v') def get_avg_daily_volume(symbol): return __request(symbol, 'a2') def get_stock_exchange(symbol): return __request(symbol, 'x') def get_market_cap(symbol): return __request(symbol, 'j1') def get_book_value(symbol): return __request(symbol, 'b4') def get_ebitda(symbol): return __request(symbol, 'j4') def get_dividend_per_share(symbol): return __request(symbol, 'd') def get_dividend_yield(symbol): return __request(symbol, 'y') def get_earnings_per_share(symbol): return __request(symbol, 'e') def get_52_week_high(symbol): return __request(symbol, 'k') def get_52_week_low(symbol): return __request(symbol, 'j') def get_50day_moving_avg(symbol): return __request(symbol, 'm3') def get_200day_moving_avg(symbol): return __request(symbol, 'm4') def get_price_earnings_ratio(symbol): return __request(symbol, 'r') def get_price_earnings_growth_ratio(symbol): return __request(symbol, 'r5') def get_price_sales_ratio(symbol): return __request(symbol, 'p5') def get_price_book_ratio(symbol): return __request(symbol, 'p6') def get_short_ratio(symbol): return __request(symbol, 's7') def get_historical_prices(symbol, start_date, end_date): """ Get historical prices for the given ticker symbol. Date format is 'YYYYMMDD' Returns a nested list. """ url = 'http://ichart.yahoo.com/table.csv?s=%s&' % symbol + \ 'd=%s&' % str(int(end_date[4:6]) - 1) + \ 'e=%s&' % str(int(end_date[6:8])) + \ 'f=%s&' % str(int(end_date[0:4])) + \ 'g=d&' + \ 'a=%s&' % str(int(start_date[4:6]) - 1) + \ 'b=%s&' % str(int(start_date[6:8])) + \ 'c=%s&' % str(int(start_date[0:4])) + \ 'ignore=.csv' days = urllib.urlopen(url).readlines() data = [day[:-2].split(',') for day in days] return data
运行：
import ystockquote print ystockquote.get_price('002250.sz') print ystockquote.get_all('002250.sz') print ystockquote.get_historical_prices('002500.sz', "20110919","20110923") print ystockquote.get_52_week_high('002250.sz')
新浪股票API
有些查询数据是没有的，不过其他一些功能雅虎没有。
http/javascript接口取数据
以大秦铁路（股票代码：601006）为例，如果要获取它的最新行情，只需访问新浪的股票数据接口：http://hq.sinajs.cn/list=sh601006
这个url会返回一串文本，例如：
varhq_str_sh601006="大秦铁路, 27.55, 27.25, 26.91, 27.55, 26.20, 26.91, 26.92, 22114263, 589824680, 4695, 26.91, 57590, 26.90, 14700, 26.89, 14300, 26.88, 15100, 26.87, 3100, 26.92, 8900, 26.93, 14230, 26.94, 25150, 26.95, 15220, 26.96, 2008-01-11, 15:05:32";
这个接口对于JavaScript程序非常方便，通常的使用方式为，静态或动态地在页面中插入：
<scripttype="text/javascript"src="http://hq.sinajs.cn/list=sh601006"charset="gb2312"></script>
这样一来，你就可以在JS中用变量名“hq_str_sh601006”访问大秦铁路的行情数据了。
这个字符串由许多数据拼接在一起，不同含义的数据用逗号隔开了，按照程序员的思路，顺序号从0开始。
0：”大秦铁路”，股票名字；
1：”27.55″，今日开盘价；
2：”27.25″，昨日收盘价；
3：”26.91″，当前价格；
4：”27.55″，今日最高价；
5：”26.20″，今日最低价；
6：”26.91″，竞买价，即“买一”报价；
7：”26.92″，竞卖价，即“卖一”报价；
8：”22114263″，成交的股票数，由于股票交易以一百股为基本单位，所以在使用时，通常把该值除以一百；
9：”589824680″，成交金额，单位为“元”，为了一目了然，通常以“万元”为成交金额的单位，所以通常把该值除以一万；
10：”4695″，“买一”申请4695股，即47手；
11：”26.91″，“买一”报价；
12：”57590″，“买二”
13：”26.90″，“买二”
14：”14700″，“买三”
15：”26.89″，“买三”
16：”14300″，“买四”
17：”26.88″，“买四”
18：”15100″，“买五”
19：”26.87″，“买五”
20：”3100″，“卖一”申报3100股，即31手；
21：”26.92″，“卖一”报价
(22, 23), (24, 25), (26,27), (28, 29)分别为“卖二”至“卖四的情况”
30：”2008-01-11″，日期；
31：”15:05:32″，时间；
如果你要同时查询多个股票，那么在URL最后加上一个逗号，再加上股票代码就可以了；比如你要一次查询大秦铁路（601006）和大同煤业（601001）的行情，就这样使用URL：
http://hq.sinajs.cn/list=sh601003,sh601001
返回的数据为：
- varhq_str_sh601003="柳钢股份, 18.91, 18.80, 18.81, 19.10, 18.51, 18.80, 18.81, 5125000, 96017794, 9115, 18.80, 5100, 18.79, 12000, 18.78, 1800, 18.77, 2600, 18.76, 1500, 18.81, 25283, 18.82, 4470, 18.84, 3400, 18.85, 1600, 18.86, 2008-01-11, 15:05:32";
- varhq_str_sh601001="大同煤业, 40.00, 40.06, 39.81, 40.60, 39.13, 39.82, 39.83, 8117292, 324759633, 50, 39.82, 300, 39.81, 22809, 39.80, 1500, 39.79, 2600, 39.78, 600, 39.83, 10600, 39.85, 2100, 39.87, 2390, 39.88, 1000, 39.89, 2008-01-11, 15:05:32";
但如果你要查询大盘指数，情况会有不同，比如查询上证综合指数（000001），使用如下URL：
http://hq.sinajs.cn/list=s_sh000001
返回的数据为：
varhq_str_s_sh000001="上证指数,5484.677,28.136,0.52,877247,15587495";
数据含义分别为：指数名称，当前点数，当前价格，涨跌率，成交量（手），成交额（万元）；
查询深圳成指的URL为：
http://hq.sinajs.cn/list=s_sz399001
数据构成方式与上证综合指数的数据相同。
最后说一下，新浪并没有明确提供这个查询API，所以他可以在不通知任何人的情况下，改变这种查询方式的接口和实现。
对于股票的K线图，日线图等的获取可以通过请求http://image.sinajs.cn/…./…/*.gif此URL获取，其中*代表股票代码，详见如下：
查看日K线图：
http://image.sinajs.cn/newchart/daily/n/sh601006.gif
分时线的查询：
http://image.sinajs.cn/newchart/min/n/sh000001.gif
日K线查询：
http://image.sinajs.cn/newchart/daily/n/sh000001.gif
周K线查询：
http://image.sinajs.cn/newchart/weekly/n/sh000001.gif
月K线查询：
http://image.sinajs.cn/newchart/monthly/n/sh000001.gif