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EconomicData.py
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EconomicData.py
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import re
import requests
import pandas
import time
import random
def getNonFarmPayroll():
nfp=requests.get('https://www.oanda.com/forex-trading/analysis/economic-indicators/united-states/employment/non-farm-payroll')
patternTable='''Date</th>
.*?Value</th>
.*?Previous</th>
.*?Change</th>
(.*?)</table>'''
tableString= re.findall(patternTable,nfp.text,re.S)
# print(tableString)
patternData='''<tr>.*?<td>(.*?)</td>.*?<td>.*?>(.*?)</span>.*?<td>(.*?)</td>.*?<td>.*?>(.*?)&.*?</tr>'''
nfpString= re.findall(patternData,str(tableString),re.S)
nfp=pandas.DataFrame(data=nfpString,columns=['Date','Value','Previous','Change'])
return nfp
def getYieldCurve():
yc=requests.get('https://www.oanda.com/forex-trading/analysis/economic-indicators/united-states/rates/yield-curve')
patternTable='''Date</th>
.*?Value</th>
.*?Previous</th>
.*?Change</th>
(.*?)</table>'''
tableString= re.findall(patternTable,yc.text,re.S)
patternData='''<tr>.*?<td>(.*?)</td>.*?<td>.*?>(.*?)</span>.*?<td>(.*?)</td>.*?<td>.*?>(.*?)&.*?</tr>'''
ycString= re.findall(patternData,str(tableString),re.S)
yc=pandas.DataFrame(data=ycString,columns=['Date','Value','Previous','Change'])
return yc
def getEconomicCalendar():
ec=requests.get('http://www.investing.com/economic-calendar/')
pattern='''data-event-datetime="(.*?)">.*?</span>(.*?)</td>.*?bull(.*?)".*?<a.*?>.*?\t...(.*?)</a>.*?<td.*?>(.*?)</td>.*?<td.*?>(.*?)</td>.*?<span.*?>(.*?)</span>'''
ecString=re.findall(pattern,ec.text,re.S)
ec=pandas.DataFrame(data=ecString,columns=['Time','Cur.','Imp.','Event','Actual','Forecast','Previous'])
return ec
def getUSInitialJoblessClaims():
ijc=requests.get('http://www.investing.com/economic-calendar/initial-jobless-claims-294')
pattern='''event_timestamp="(.*?)">.*?<span.*?>(.*?)</span></td>.*? <td.*?>(.*?)</td>.*? <td.*?>(.*?)</td>'''
ijcString=re.findall(pattern,ijc.text,re.S)
ijc=pandas.DataFrame(data=ijcString,columns=['Time','Actual','Forecast','Previous'])
c='Actual'
for i in ijc.index:
print(i,ijc.get_value(i,c))
return ijc
def getNonfarmPayrolls():
url='http://www.investing.com/economic-calendar/nonfarm-payrolls-227'
page=requests.get(url)
pattern1='''eventHistoryTable227.*?<tbody>(.*?)</tbody>'''
pattern2='''event_timestamp="(.*?) .*?".*?<td class="noWrap">.*?>(.*?)</span>.*?<td class="noWrap">(.*?)</td>.*?noWrap">(.*?)</td>'''
tbody=re.findall(pattern1,page.text,re.S)
nfp=re.findall(pattern2,tbody[0],re.S)
nfp=pandas.DataFrame(nfp,columns=['Date','Actual','Forecast','Previous'])
return (nfp)
def test1():
out=[]
for p in range(1,5):
url='http://www.jikexueyuan.com/course/?pageNum=%s' % p
page=requests.get(url)
pattern='''<div class="lesson-infor".*?<a.*?">(.*?)</a>.*?<p.*?>(.*?)</p>.*?<em>(.*?)</em>.*?<em class="learn-number">(.*?)</em>'''
out.extend(re.findall(pattern,page.text.strip(),re.S))
print('finish page %s' % p)
data=pandas.DataFrame(data=out,columns=['课程名称','课程简介','课时','学习人数'])
return data
def getYahooData(proxy=None,html=None):
url='https://hk.finance.yahoo.com/advances'
# 修改header 伪装成浏览器
'''
RequestHeaders:
accept:text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8
accept-encoding:gzip, deflate, sdch, br
accept-language:zh-CN,zh;q=0.8,en;q=0.6,ja;q=0.4
cache-control:max-age=0
cookie:B=a7083ndboshfj&b=3&s=om; ypcdb=2425aba8313c8113f91b3a94606c7070; PRF=&t=^HSCE+27787.HK
upgrade-insecure-requests:1
user-agent:Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.76 Mobile Safari/537.36
'''
UAlist=[
{'user-agent':'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36'},
{'User-Agent':'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36 OPR/39.0.2256.48'},
{'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2486.0 Safari/537.36 Edge/13.10586'},
{'User-Agent':'Mozilla/5.0 (Windows NT 10.0; WOW64; rv:48.0) Gecko/20100101 Firefox/48.0'},
{'user-agent':'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.76 Mobile Safari/537.36'}
]
# header=UAlist[random.randint(0,3)]
header=UAlist[2]
print(header)
# proxy={'http': 'http://182.38.24.70:8118'}
page=requests.get(url,headers=header,timeout=5000)
bodyPattern='''<th>HK</th><th>NASDAQ</th>.*?<tbody>(.*?)</tbody>'''
tbody=re.search(bodyPattern,page.text,re.S)
tbody=tbody.string.strip('\n')
dataPattern='''<td align="right">(.*?)</td><td align="right">(.*?)</td>'''
data=re.findall(dataPattern,tbody,re.S)
index=['Raise','Fall','Unchange','All','NewHigh','NewLow','VolIncrease','VolDecrease','VolUnchange','VolTotal']
# out=pandas.DataFrame(data=data,columns=['HK','NASDAQ'],index=index)
print(data)
def getNum(value):
v=0
for a in value:
if a.isdigit():
v=10*v+int(a)
elif a is ',':
continue
else:
break
return v
HK,NASDAQ={},{}
n=0
for hk,nsdq in data:
HK[index[n]]=getNum(hk)
NASDAQ[index[n]]=getNum(nsdq)
n+=1
out={'HK':HK,'NASDAQ':NASDAQ}
print (out)
# for b in out.columns:
# for a in out.index:
# out.set_value(a,b,getNum((out.get_value(a,b))))
# return out.T
return out
def IPAddressSearcher():
url="http://www.xicidaili.com/nn/1"
User_Agent = 'Mozilla/5.0 (Windows NT 6.3; WOW64; rv:43.0) Gecko/20100101 Firefox/43.0'
header = {}
header['User-Agent'] = User_Agent
pattern1='''<table id="ip_list">(.*?)</table>'''
pattern2='''<tr class.*?<td class.*?<td>(.*?)</td>.*?<td>(.*?)</td>.*?href.*?</tr>'''
page=requests.get(url,headers=header)
addresses=re.findall(pattern1,page.text,re.S)
addressList=re.findall(pattern2,addresses[0],re.S)
# out=pandas.DataFrame(addressList)
return(addressList)
def IpTest(addressList):
proxys=[]
for a in addressList:
host="http://%s:%s" % a
proxy={'http':host}
try:
res=requests.get("http://ip.chinaz.com/getip.aspx",proxies=proxy)
proxys.append(proxy)
print(res.text)
if(len(proxys)>=10):
return (proxys)
except Exception as e:
print(proxy)
print(e)
continue
time.sleep(3)
return (proxys)
if __name__ == '__main__':
pass