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scraper.py
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scraper.py
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import scraperwiki
import mechanize
import re
import csv
import datetime
#import sqlite3
#scraperwiki.sqlite.execute("create table Company_Performance (`TIDM` varchar2(8) NOT NULL, `1D` real, `3D` real, `1W` real, '1M' real, '6M' real, `Date` date, UNIQUE (`TIDM`, `Date`))")
if 1==1:
complist = scraperwiki.sqlite.execute("select `TIDM`, `Price` from company where TIDM in (select distinct TIDM from Signal_History)")
#Tmp1=0.0
for x in complist["data"]:
#Tmp1=tmp1+x[1]
#Print tmp1
tidm=x[0]
nprice=x[1]
# ndate=dt.datetime.today().strftime("%Y/%m/%d")
ndate=datetime.date.today()
#ndate=datetime.datetime(ndate.year, ndate.month, ndate.day)
#D-1
d1date=ndate - datetime.timedelta(days=10)
#d1list = scraperwiki.sqlite.execute("select `Price` from Signal_History where tidm = '" + tidm + "' and strftime('%Y', date) = '" + str(d1date.year) + "' and strftime('%-m', date) = '" + str(d1date.month) + "' and strftime('%-d', date) = '" + str(d1date.day) + "'")
d1list = scraperwiki.sqlite.execute("select `TIDM`, `Price`, `Date` from Signal_History where tidm = '" + tidm + "' and strftime('%Y', date) = '" + str(d1date.year) + "'")
for y in d1list["data"]:
print y[0]
print y[1]
print y[2]
break
if 1==0:
tidm = "test"
ndate=datetime.date.today()
d1date=ndate - datetime.timedelta(days=10)
print d1date
print "select `Price` from Signal_History where tidm = '" + tidm + "' and strftime('%Y', date) = '" + str(d1date.year) + "' and strftime('%-m', date) = '" + str(d1date.month) + "' and strftime('%-d', date) = '" + str(d1date.day) + "'"
#ndate=datetime.date.today()
#print ndate.year
#strftime('%Y', ndate)
#------------------------------------------------
#------------------------------------------------
if 1==0:
url = 'http://www.shareprices.com/ftseallshare'
#print str(asxlist["data"][x])[3:-2]
#for x in asxlist:
# print asxlist
#data = scraperwiki.scrape("http://www.asx.com.au/asx/research/ASXListedCompanies.csv")
#url2 = 'https://www.aussiebulls.com/SignalPage.aspx?lang=en&Ticker=WOW.AX'
br = mechanize.Browser()
# sometimes the server is sensitive to this information
br.addheaders = [('User-agent', 'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.1) Gecko/2008071615 Fedora/3.0.1-1.fc9 Firefox/3.0.1')]
#####reader = csv.DictReader(data.splitlines()[2:10])
#scraperwiki.sqlite.execute("alter table companies add `Date Added` date")
#scraperwiki.sqlite.execute("alter table companies rename to company")
#scraperwiki.sqlite.execute("alter table company rename column `Date Added` to `Last Refreshed`")
#scraperwiki.sqlite.execute("alter table company add `Top 500` char(1)")
scraperwiki.sqlite.execute("drop table if exists company")
scraperwiki.sqlite.execute("create table company (`TIDM` string, `Company` string, `Price` real, `Volume` real, `Date` date NOT NULL)")
#scraperwiki.sqlite.execute("drop table if exists Signal_History")
#scraperwiki.sqlite.execute("create table Signal_History (`ASX code` varchar2(8) NOT NULL, `Date` date NOT NULL, `Price` real NOT NULL, `Signal` varchar2(15) NOT NULL, `Confirmation` char(1) NOT NULL, `AUD 100` real NOT NULL, UNIQUE (`ASX code`, `Date`))")
#scraperwiki.sqlite.execute("insert into company values ('test', 'test', 'test', date('2015-12-07'), 'Y')")
scraperwiki.sqlite.execute("delete from company")
scraperwiki.sqlite.commit()
#@@@scraperwiki.sqlite.save(['GICS industry group', 'ASX code', 'Company name'], list(csv.DictReader(scraperwiki.scrape('http://www.asx.com.au/asx/research/ASXListedCompanies.csv').splitlines()[2:])), table_name='company')
#scraperwiki.sqlite.save(['industry', 'code', 'company'], list(csv.DictReader(scraperwiki.scrape('http://www.asx.com.au/asx/research/ASXListedCompanies.csv').splitlines()[2:10])), table_name="companies")
#@@@scraperwiki.sqlite.execute("update company set `Last Refreshed` = date('now') where `Last Refreshed` is null")
#@@@scraperwiki.sqlite.execute("update company set `Top 500` = 'Y' where `Last Refreshed` = date('now')")
#@@@scraperwiki.sqlite.execute("update company set `Top 500` = 'N' where `Last Refreshed` <> date('now')")
#scraperwiki.sqlite.commit()
#scraperwiki.sqlite.execute(".schema companies")
#scraperwiki.sqlite.execute("select * from company")
#####for record in reader:
##### print record
response = br.open(url)
for pagenum in range(1):
html = response.read()
#print html
#comp = re.search(r'MainContent_CompanyTicker(\w{3,}\.AX)span', html).group(0)
#ASX_Code = '3PL.AX'
#print re.findall(r'MainContent_signalpagehistory_PatternHistory24((.)+)\<\\table\>', html)
#test1 = re.findall(r'Day\'s Volume(.*)>(.*)<(.*)endcol', html)
#test1 = re.findall('(Day\'s Volume)(.*?)>(.*?)<(.*?)(endcol)', html)
test1 = re.search(r'Day\'s Volume(.*?)<br \/><\/div>', html).group()
#for match in re.findall(r'(\">|\'>)(.*?)<\/', str(test1.replace(" ", "")).replace("><", "")):
tuples = re.findall(r'(\">|\'>)(.*?)<\/', str(test1.replace(" ", "")).replace("><", ""))
count = 0
tidm = ""
company = ""
price = 0
poscnt = 0
for tuple in tuples:
if poscnt == 1:
#scraperwiki.sqlite.save(["TIDM"], data={"TIDM":tidm, "Company":tuple[1].replace("amp;", "")}, table_name='company')
company = tuple[1].replace("amp;", "")
#scraperwiki.sqlite.commit()
if poscnt == 2:
price = tuple[1].replace(",", "").replace("p", "")
if poscnt == 4:
scraperwiki.sqlite.save(["TIDM"], data={"TIDM":tidm+'.L', "Company":company, "Price":price, "Volume":tuple[1].replace(",", ""), "Date":datetime.datetime.now()}, table_name='company')
scraperwiki.sqlite.commit()
if len(tuple[1]) <= 4 and tuple[1][-1:].isalpha() and tuple[1][-1:].isupper() and tuple[1]!=tidm:
count = count+1
#print tuple[1]
#scraperwiki.sqlite.save(["TIDM"], data={"TIDM":tuple[1]}, table_name='company')
tidm = tuple[1]
poscnt = 1
else:
poscnt = poscnt + 1
print count
#print re.search('', (.*?)', match).group()
#print re.search(r'(\">|\'>)(.*?)', match).group(1)
#print re.search(r'', (\.*\?)', match)
# ("'>", 'III')
# ('">', '3iGroup')
#test3 = re.findall(r'>(.*)<', test2)
#print test3
# if test1:
# test1 = test1.group(0)
# test2 = re.findall(r'(\"\>|img\/)((.)+)\<\/td\>\<td', test1)
#test2 = re.findall('\">(.*)<\/', test1)
#test2 = re.findall('\">(.*?)<\/', test1)
#test2 re.search(r'\"\>(.*)\<\/?', test1)
#test2 = re.findall('\">(.*?)<\/', test1) GOOD
#test2 = re.findall('(\">|img\/)(.*?)(<\/|\.gif)', test1) BETTER
#test2 = re.findall('(\">|img\/)(.*?)(<\/|\.gif)', test1.replace("\B", ""))
#test3 = re.findall('\', \'(.*?)\', \'', test2)
# test3 = re.findall('(\">|img\/)(.*?)(<\/|\.gif)', test1.replace("\B", ""))
#print "".join(test3[0].split)
#test4 = [x.replace(" ", "") for x in test3]
#print re.search(r"\',\'(.*)\',\'", str(test3[0]).replace(" ", "")).group(0)
#print len(test3)
#print ""
# while len(test3) >= 5:
#print ASX_Code
# sh_Date = re.search("(\w|\d)(.*)(\w|\d)", str(test3.pop(0)).replace(" ", "")).group(0)
#
#------------------------------------------------
#------------------------------------------------
if 1==0:
url = 'https://www.britishbulls.com/SignalPage.aspx?lang=en&Ticker='
# ASPX pages are some of the hardest challenges because they use javascript and forms to navigate
# Almost always the links go through the function function __doPostBack(eventTarget, eventArgument)
# which you have to simulate in the mechanize form handling library
# This example shows how to follow the Next page link
#scraperwiki.sqlite.execute("delete from Signal_History")
#scraperwiki.sqlite.commit()
scraperwiki.sqlite.execute("drop table if exists Signal_History")
scraperwiki.sqlite.execute("create table Signal_History (`TIDM` varchar2(8) NOT NULL, `Date` date NOT NULL, `Price` real NOT NULL, `Signal` varchar2(15) NOT NULL, `Confirmation` char(1) NOT NULL, `GBP 100` real NOT NULL, UNIQUE (`TIDM`, `Date`))")
lselist = scraperwiki.sqlite.execute("select `TIDM` from company")
for x in lselist["data"]:
lsecode = str(x)[3:-2] #+ '.L'
#print lsecode
#print str(asxlist["data"][x])[3:-2]
#for x in asxlist:
# print asxlist
#data = scraperwiki.scrape("http://www.asx.com.au/asx/research/ASXListedCompanies.csv")
#url2 = 'https://www.aussiebulls.com/SignalPage.aspx?lang=en&Ticker=WOW.AX'
br = mechanize.Browser()
# sometimes the server is sensitive to this information
br.addheaders = [('User-agent', 'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.1) Gecko/2008071615 Fedora/3.0.1-1.fc9 Firefox/3.0.1')]
#####reader = csv.DictReader(data.splitlines()[2:10])
#scraperwiki.sqlite.execute("alter table companies add `Date Added` date")
#scraperwiki.sqlite.execute("alter table companies rename to company")
#scraperwiki.sqlite.execute("alter table company rename column `Date Added` to `Last Refreshed`")
#scraperwiki.sqlite.execute("alter table company add `Top 500` char(1)")
#scraperwiki.sqlite.execute("drop table if exists company")
#scraperwiki.sqlite.execute("create table company (`GICS industry group` string, `ASX code` string, `Company name` string, `Last Refreshed` date, `Top 500` char(1))")
#scraperwiki.sqlite.execute("drop table if exists Signal_History")
#scraperwiki.sqlite.execute("create table Signal_History (`TIDM` varchar2(8) NOT NULL, `Date` date NOT NULL, `Price` real NOT NULL, `Signal` varchar2(15) NOT NULL, `Confirmation` char(1) NOT NULL, `GBP 100` real NOT NULL, UNIQUE (`TIDM`, `Date`))")
#scraperwiki.sqlite.execute("insert into company values ('test', 'test', 'test', date('2015-12-07'), 'Y')")
#scraperwiki.sqlite.execute("delete from company where `ASX code` = 'test'")
#scraperwiki.sqlite.commit()
#@@@scraperwiki.sqlite.save(['GICS industry group', 'ASX code', 'Company name'], list(csv.DictReader(scraperwiki.scrape('http://www.asx.com.au/asx/research/ASXListedCompanies.csv').splitlines()[2:])), table_name='company')
#scraperwiki.sqlite.save(['industry', 'code', 'company'], list(csv.DictReader(scraperwiki.scrape('http://www.asx.com.au/asx/research/ASXListedCompanies.csv').splitlines()[2:10])), table_name="companies")
#@@@scraperwiki.sqlite.execute("update company set `Last Refreshed` = date('now') where `Last Refreshed` is null")
#@@@scraperwiki.sqlite.execute("update company set `Top 500` = 'Y' where `Last Refreshed` = date('now')")
#@@@scraperwiki.sqlite.execute("update company set `Top 500` = 'N' where `Last Refreshed` <> date('now')")
#scraperwiki.sqlite.commit()
#scraperwiki.sqlite.execute(".schema companies")
#scraperwiki.sqlite.execute("select * from company")
#####for record in reader:
##### print record
response = br.open(url + lsecode)
for pagenum in range(1):
html = response.read()
#comp = re.search(r'MainContent_CompanyTicker(\w{3,}\.AX)span', html).group(0)
#ASX_Code = '3PL.AX'
#print re.findall(r'MainContent_signalpagehistory_PatternHistory24((.)+)\<\\table\>', html)
test1 = re.search(r'MainContent_signalpagehistory_PatternHistory24_DXDataRow0((.|\n)+)MainContent_signalpagehistory_PatternHistory24_IADD', html)
if test1:
test1 = test1.group(0)
# test2 = re.findall(r'(\"\>|img\/)((.)+)\<\/td\>\<td', test1)
#test2 = re.findall('\">(.*)<\/', test1)
#test2 = re.findall('\">(.*?)<\/', test1)
#test2 re.search(r'\"\>(.*)\<\/?', test1)
#test2 = re.findall('\">(.*?)<\/', test1) GOOD
#test2 = re.findall('(\">|img\/)(.*?)(<\/|\.gif)', test1) BETTER
#test2 = re.findall('(\">|img\/)(.*?)(<\/|\.gif)', test1.replace("\B", ""))
#test3 = re.findall('\', \'(.*?)\', \'', test2)
test3 = re.findall('(\">|img\/)(.*?)(<\/|\.gif)', test1.replace("\B", ""))
#print "".join(test3[0].split)
#test4 = [x.replace(" ", "") for x in test3]
#print re.search(r"\',\'(.*)\',\'", str(test3[0]).replace(" ", "")).group(0)
#print len(test3)
#print ""
while len(test3) >= 5:
#print ASX_Code
sh_Date = re.search("(\w|\d)(.*)(\w|\d)", str(test3.pop(0)).replace(" ", "")).group(0)
sh_Price = re.search("(\w|\d)(.*)(\w|\d)", str(test3.pop(0)).replace(" ", "")).group(0)
sh_Signal = re.search("(\w|\d)(.*)(\w|\d)", str(test3.pop(0)).replace(" ", "")).group(0)
sh_Confirmation = (re.search("[Unc|C]heck", str(test3.pop(0)).replace(" ", "")).group(0).lower().replace("uncheck","N")).replace("check", "Y")
sh_GBP100 = re.search("(\w|\d)(.*)(\w|\d)", str(test3.pop(0)).replace(" ", "")).group(0)
#scraperwiki.sqlite.execute("insert or replace into Signal_History values (:`ASX code`, :Date, :Price, :Signal, :Confirmation, :`AUD 100`)", {"ASX code":ASX_Code, "Date":sh_Date, "Price":sh_Price, "Signal":sh_Signal, "Confirmation":sh_Confirmation, "AUD 100":sh_AUD100})
scraperwiki.sqlite.execute("insert or ignore into Signal_History values (?, ?, ?, ?, ?, ?)", [lsecode, sh_Date, sh_Price, sh_Signal, sh_Confirmation, sh_GBP100])
scraperwiki.sqlite.commit()
# print re.search(r'\w{3}\.AX', re.search(r'MainContent_CompanyTicker((.)+)span', html).group(0)).group(0)