Scrape Yahoo Finance财务比率 [英] Scrape Yahoo Finance Financial Ratios
本文介绍了Scrape Yahoo Finance财务比率的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我一直在尝试使用Beautiful Soup从Yahoo Finance取消流动比率"的值(如下所示)，但它始终返回空值.
I have been trying to scrap the value of the Current Ratio (as shown below) from Yahoo Finance using Beautiful Soup, but it keeps returning an empty value.
有趣的是，当我查看URL的页面来源"时，当前比率"的值未在此处列出.
Interestingly, when I look at the Page Source of the URL, the value of the Current Ratio is not listed there.
到目前为止，我的代码是:
My code so far is:
import urllib
from bs4 import BeautifulSoup
url = ("http://finance.yahoo.com/quote/GSB/key-statistics?p=GSB")
html = urllib.urlopen(url).read()
soup = BeautifulSoup(html, "html.parser")
script = soup.find("td", {"class": "Fz(s) Fw(500) Ta(end)",
"data-reactid": ".1ujetg16lcg.0.$0.0.0.3.1.$main-0-Quote-Proxy.$main-0-Quote.2.0.0.0.1.0.1:$FINANCIAL_HIGHLIGHTS.$BALANCE_SHEET.1.0.$CURRENT_RATIO.1"
})
有人知道如何解决这个问题吗?
Does anyone know how to solve this?
推荐答案
您实际上可以获取的数据为json格式，有一个对api的调用，该api返回了很多数据，包括当前比率:
You can actually get the data is json format, there is a call to an api that returns a lot of the data including the current ratio:
import requests
params = {"formatted": "true",
"crumb": "AKV/cl0TOgz", # works without so not sure of significance
"lang": "en-US",
"region": "US",
"modules": "defaultKeyStatistics,financialData,calendarEvents",
"corsDomain": "finance.yahoo.com"}
r = requests.get("https://query1.finance.yahoo.com/v10/finance/quoteSummary/GSB", params=params)
data = r.json()[u'quoteSummary']["result"][0]
这为您提供了包含大量数据的字典:
That gives you a dict with numerous pieces of data:
from pprint import pprint as pp
pp(data)
{u'calendarEvents': {u'dividendDate': {u'fmt': u'2016-09-08',
u'raw': 1473292800},
u'earnings': {u'earningsAverage': {},
u'earningsDate': [{u'fmt': u'2016-10-27',
u'raw': 1477526400}],
u'earningsHigh': {},
u'earningsLow': {},
u'revenueAverage': {u'fmt': u'8.72M',
u'longFmt': u'8,720,000',
u'raw': 8720000},
u'revenueHigh': {u'fmt': u'8.72M',
u'longFmt': u'8,720,000',
u'raw': 8720000},
u'revenueLow': {u'fmt': u'8.72M',
u'longFmt': u'8,720,000',
u'raw': 8720000}},
u'exDividendDate': {u'fmt': u'2016-05-19',
u'raw': 1463616000},
u'maxAge': 1},
u'defaultKeyStatistics': {u'52WeekChange': {u'fmt': u'3.35%',
u'raw': 0.033536673},
u'SandP52WeekChange': {u'fmt': u'5.21%',
u'raw': 0.052093267},
u'annualHoldingsTurnover': {},
u'annualReportExpenseRatio': {},
u'beta': {u'fmt': u'0.23', u'raw': 0.234153},
u'beta3Year': {},
u'bookValue': {u'fmt': u'1.29', u'raw': 1.295},
u'category': None,
u'earningsQuarterlyGrowth': {u'fmt': u'-28.00%',
u'raw': -0.28},
u'enterpriseToEbitda': {u'fmt': u'9.22',
u'raw': 9.215},
u'enterpriseToRevenue': {u'fmt': u'1.60',
u'raw': 1.596},
u'enterpriseValue': {u'fmt': u'50.69M',
u'longFmt': u'50,690,408',
u'raw': 50690408},
u'fiveYearAverageReturn': {},
u'floatShares': {u'fmt': u'11.63M',
u'longFmt': u'11,628,487',
u'raw': 11628487},
u'forwardEps': {u'fmt': u'0.29', u'raw': 0.29},
u'forwardPE': {},
u'fundFamily': None,
u'fundInceptionDate': {},
u'heldPercentInsiders': {u'fmt': u'36.12%',
u'raw': 0.36116},
u'heldPercentInstitutions': {u'fmt': u'21.70%',
u'raw': 0.21700001},
u'lastCapGain': {},
u'lastDividendValue': {},
u'lastFiscalYearEnd': {u'fmt': u'2015-12-31',
u'raw': 1451520000},
u'lastSplitDate': {},
u'lastSplitFactor': None,
u'legalType': None,
u'maxAge': 1,
u'morningStarOverallRating': {},
u'morningStarRiskRating': {},
u'mostRecentQuarter': {u'fmt': u'2016-06-30',
u'raw': 1467244800},
u'netIncomeToCommon': {u'fmt': u'3.82M',
u'longFmt': u'3,819,000',
u'raw': 3819000},
u'nextFiscalYearEnd': {u'fmt': u'2017-12-31',
u'raw': 1514678400},
u'pegRatio': {},
u'priceToBook': {u'fmt': u'2.64',
u'raw': 2.6358302},
u'priceToSalesTrailing12Months': {},
u'profitMargins': {u'fmt': u'12.02%',
u'raw': 0.12023},
u'revenueQuarterlyGrowth': {},
u'sharesOutstanding': {u'fmt': u'21.18M',
u'longFmt': u'21,184,300',
u'raw': 21184300},
u'sharesShort': {u'fmt': u'27.06k',
u'longFmt': u'27,057',
u'raw': 27057},
u'sharesShortPriorMonth': {u'fmt': u'36.35k',
u'longFmt': u'36,352',
u'raw': 36352},
u'shortPercentOfFloat': {u'fmt': u'0.20%',
u'raw': 0.001977},
u'shortRatio': {u'fmt': u'0.81', u'raw': 0.81},
u'threeYearAverageReturn': {},
u'totalAssets': {},
u'trailingEps': {u'fmt': u'0.18', u'raw': 0.18},
u'yield': {},
u'ytdReturn': {}},
u'financialData': {u'currentPrice': {u'fmt': u'3.41', u'raw': 3.4134},
u'currentRatio': {u'fmt': u'1.97', u'raw': 1.974},
u'debtToEquity': {},
u'earningsGrowth': {u'fmt': u'-33.30%', u'raw': -0.333},
u'ebitda': {u'fmt': u'5.5M',
u'longFmt': u'5,501,000',
u'raw': 5501000},
u'ebitdaMargins': {u'fmt': u'17.32%',
u'raw': 0.17318001},
u'freeCashflow': {u'fmt': u'4.06M',
u'longFmt': u'4,062,250',
u'raw': 4062250},
u'grossMargins': {u'fmt': u'79.29%', u'raw': 0.79288},
u'grossProfits': {u'fmt': u'25.17M',
u'longFmt': u'25,172,000',
u'raw': 25172000},
u'maxAge': 86400,
u'numberOfAnalystOpinions': {},
u'operatingCashflow': {u'fmt': u'6.85M',
u'longFmt': u'6,853,000',
u'raw': 6853000},
u'operatingMargins': {u'fmt': u'16.47%',
u'raw': 0.16465001},
u'profitMargins': {u'fmt': u'12.02%', u'raw': 0.12023},
u'quickRatio': {u'fmt': u'1.92', u'raw': 1.917},
u'recommendationKey': u'strong_buy',
u'recommendationMean': {u'fmt': u'1.00', u'raw': 1.0},
u'returnOnAssets': {u'fmt': u'7.79%', u'raw': 0.07793},
u'returnOnEquity': {u'fmt': u'15.05%', u'raw': 0.15054},
u'revenueGrowth': {u'fmt': u'5.00%', u'raw': 0.05},
u'revenuePerShare': {u'fmt': u'1.51', u'raw': 1.513},
u'targetHighPrice': {},
u'targetLowPrice': {},
u'targetMeanPrice': {},
u'targetMedianPrice': {},
u'totalCash': {u'fmt': u'20.28M',
u'longFmt': u'20,277,000',
u'raw': 20277000},
u'totalCashPerShare': {u'fmt': u'0.96', u'raw': 0.957},
u'totalDebt': {u'fmt': None,
u'longFmt': u'0',
u'raw': 0},
u'totalRevenue': {u'fmt': u'31.76M',
u'longFmt': u'31,764,000',
u'raw': 31764000}}}
您想要的内容位于 data [u'financialData'] 中:
pp(data[u'financialData'])
{u'currentPrice': {u'fmt': u'3.41', u'raw': 3.4134},
u'currentRatio': {u'fmt': u'1.97', u'raw': 1.974},
u'debtToEquity': {},
u'earningsGrowth': {u'fmt': u'-33.30%', u'raw': -0.333},
u'ebitda': {u'fmt': u'5.5M', u'longFmt': u'5,501,000', u'raw': 5501000},
u'ebitdaMargins': {u'fmt': u'17.32%', u'raw': 0.17318001},
u'freeCashflow': {u'fmt': u'4.06M',
u'longFmt': u'4,062,250',
u'raw': 4062250},
u'grossMargins': {u'fmt': u'79.29%', u'raw': 0.79288},
u'grossProfits': {u'fmt': u'25.17M',
u'longFmt': u'25,172,000',
u'raw': 25172000},
u'maxAge': 86400,
u'numberOfAnalystOpinions': {},
u'operatingCashflow': {u'fmt': u'6.85M',
u'longFmt': u'6,853,000',
u'raw': 6853000},
u'operatingMargins': {u'fmt': u'16.47%', u'raw': 0.16465001},
u'profitMargins': {u'fmt': u'12.02%', u'raw': 0.12023},
u'quickRatio': {u'fmt': u'1.92', u'raw': 1.917},
u'recommendationKey': u'strong_buy',
u'recommendationMean': {u'fmt': u'1.00', u'raw': 1.0},
u'returnOnAssets': {u'fmt': u'7.79%', u'raw': 0.07793},
u'returnOnEquity': {u'fmt': u'15.05%', u'raw': 0.15054},
u'revenueGrowth': {u'fmt': u'5.00%', u'raw': 0.05},
u'revenuePerShare': {u'fmt': u'1.51', u'raw': 1.513},
u'targetHighPrice': {},
u'targetLowPrice': {},
u'targetMeanPrice': {},
u'targetMedianPrice': {},
u'totalCash': {u'fmt': u'20.28M',
u'longFmt': u'20,277,000',
u'raw': 20277000},
u'totalCashPerShare': {u'fmt': u'0.96', u'raw': 0.957},
u'totalDebt': {u'fmt': None, u'longFmt': u'0', u'raw': 0},
u'totalRevenue': {u'fmt': u'31.76M',
u'longFmt': u'31,764,000',
u'raw': 31764000}}
您可以在其中看到 u'currentRatio'，fmt是您在网站上看到的格式化输出，格式化为两位小数.所以要得到1.97:
You can see u'currentRatio' in there, the fmt is the formatted output you see on the site, formatted to two decimal places. So to get the 1.97:
In [5]: import requests
...: data = {"formatted": "true",
...: "crumb": "AKV/cl0TOgz",
...: "lang": "en-US",
...: "region": "US",
...: "modules": "defaultKeyStatistics,financialData,calendarEvents",
...: "corsDomain": "finance.yahoo.com"}
...: r = requests.get("https://query1.finance.yahoo.com/v10/finance/quoteSumm
...: ary/GSB", params=data)
...: data = r.json()[u'quoteSummary']["result"][0][u'financialData']
...: ratio = data[u'currentRatio']
...: print(ratio)
...: print(ratio["fmt"])
...:
{'raw': 1.974, 'fmt': '1.97'}
1.97
使用 urllib 的等效代码:
In [1]: import urllib
...: from urllib import urlencode
...: from json import load
...:
...:
...: data = {"formatted": "true",
...: "crumb": "AKV/cl0TOgz",
...: "lang": "en-US",
...: "region": "US",
...: "modules": "defaultKeyStatistics,financialData,calendarEvents",
...: "corsDomain": "finance.yahoo.com"}
...: url = "https://query1.finance.yahoo.com/v10/finance/quoteSummary/GSB"
...: r = urllib.urlopen(url, data=urlencode(data))
...: data = load(r)[u'quoteSummary']["result"][0][u'financialData']
...: ratio = data[u'currentRatio']
...: print(ratio)
...: print(ratio["fmt"])
...:
{u'raw': 1.974, u'fmt': u'1.97'}
1.97
它对于APPL也可以正常工作
It works fine for APPL also:
In [1]: import urllib
...: from urllib import urlencode
...: from json import load
...: data = {"formatted": "true",
...: "lang": "en-US",
...: "region": "US",
...: "modules": "defaultKeyStatistics,financialData,calendarEvents",
...: "corsDomain": "finance.yahoo.com"}
...: url = "https://query1.finance.yahoo.com/v10/finance/quoteSummary/AAPL"
...: r = urllib.urlopen(url, data=urlencode(data))
...: data = load(r)[u'quoteSummary']["result"][0][u'financialData']
...: ratio = data[u'currentRatio']
...: print(ratio)
...: print(ratio["fmt"])
...:
{u'raw': 1.312, u'fmt': u'1.31'}
1.31
添加面包屑参数似乎没有任何效果，如果您需要稍后获取它:
Adding the crumb parameters seems to have no effect, if you need to get it at a later date:
soup = BeautifulSoup(urllib.urlopen("http://finance.yahoo.com/quote/GSB/key-statistics?p=GSB").read())
script = soup.find("script", text=re.compile("root.App.main")).text
data = loads(re.search("root.App.main\s+=\s+(\{.*\})", script).group(1))
print(data["context"]["dispatcher"]["stores"]["CrumbStore"]["crumb"])
要了解市值，您需要添加 summaryDetail 模块:
For market cap, you need to add the summaryDetail module:
In [1]: import requests
...:
...: params = {"formatted": "true",
...: "crumb": "AKV/cl0TOgz", # works without so not sure of signif
...: icance
...: "lang": "en-US",
...: "region": "US",
...: "modules": "summaryDetail",
...: "corsDomain": "finance.yahoo.com"}
...:
...: r = requests.get("https://query1.finance.yahoo.com/v10/finance/quoteSumm
...: ary/GOOG", params=params)
...: data = r.json()[u'quoteSummary']["result"][0]
...: print(data["summaryDetail"]["marketCap"])
...:
{'raw': 769972436992, 'fmt': '769.97B', 'longFmt': '769,972,436,992'}
我知道的可用模块是:
defaultKeyStatistics
financialData
calendarEvents
assetProfile
summaryDetail
upgradeDowngradeHistory
recommendationTrend
earnings
price
这篇关于Scrape Yahoo Finance财务比率的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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