def scrape(self):
url = 'https://finance.yahoo.com/quote/' + self.symbol + '/balance-sheet?p=' + self.symbol
table = scraper(self.symbol).__table__(url)
try:
table = pd.concat(table, sort=True).astype(float, errors='ignore')
except:
table = scraper(self.symbol).__general__(url)
return table
def dividends(self):
symbol = self.symbol
start = format_date(self.start)
end = format_date(self.end)
url = "https://finance.yahoo.com/quote/" + symbol + "/history?period1=" + str(start) + "&period2="+ str(end) + "&interval=div%7Csplit&filter=div&frequency=1d"
dividends = scraper(url).__table__()
return dividends[0]
def dividends(self):
url = "https://finance.yahoo.com/quote/" + self.symbol + "/history?interval=div%7Csplit&filter=div&frequency=1d"
dividends = scraper(self.symbol).__table__(url)
if len(dividends)>1:
dividends = dividends.drop(4)
dividends = dividends.set_index('Date')
dividends = dividends['Dividends']
dividends = dividends.str.replace(r'\Dividend', '').astype(float)
dividends.name = self.symbol
return dividends
def history(self):
start = int(time.mktime(datetime.strptime(self.start.strftime("%Y-%m-%d"), "%Y-%m-%d").timetuple()))
end = int(time.mktime(datetime.strptime(self.end.strftime("%Y-%m-%d"), "%Y-%m-%d").timetuple()))
url = 'https://finance.yahoo.com/quote/' + self.symbol + "/history?" + "period1=" + str(start) + "&period2=" + str(end) + "&interval=1d&filter=history&frequency=1d"
history = scraper(self.symbol).__table__(url)
if len(history)>0:
history = pd.concat(history, sort=True).astype(float, errors='ignore')
else:
history = self.symbol, 'Error occurred in history method. Double check you entered the symbol correctly.'
try:
history = history.drop(len(history) - 1)
history = history.set_index('Date')
except:
print(self.symbol, ': Error cleaning history dataframe. Is it the right symbol?')
finally:
return history
def search():
s = request.args.get('s')
if s != None:
s = " ".join(s.split("%20"))
scrap = scraper(s)
if 'email' in session:
return render_template('search.html',
title=s,
output=scrap.products,
sstring=s,
msgs=request.args.get('msgs'),
categories=cats,
user=session['email'])
else:
return render_template('search.html',
title=s,
output=scrap.products,
sstring=s,
msgs=request.args.get('msgs'),
categories=cats)
else:
return redirect('/index')
def scrape(self):
url = 'https://finance.yahoo.com/quote/' + self.symbol + '/cash-flow?p=' + self.symbol
table = scraper(self.symbol).__table__(url)
table = pd.concat(table, sort=True).astype(float, errors='ignore')
return table
def scrape(self):
url = 'https://finance.yahoo.com/quote/' + self.symbol + '/analysis?p=' + self.symbol
a = scraper(self.symbol).__table__(url)
return a
def __init__(self, date=date.today()):
self.date = date
self.url = "https://ca.finance.yahoo.com/calendar/earnings?&day=" + str(
self.date)
self.calendar = scraper(self.url).__table__()
def scrape(self):
'''set sector and description '''
url="https://finance.yahoo.com/quote/" + self.symbol + "/profile?p=" + self.symbol
s = scraper(self.symbol).__general__(url)
self.sector(s)
self.description(s)
