yahoo_parser (3).py

import time
from bs4 import BeautifulSoup
import urllib.request as urllib2

# List of stocks and technicals to pull using the program. All the data will be stored in a dict.


def scrape_yahoo(stock):
	technicals = {}
	try:
		url = ('http://finance.yahoo.com/q/ks?s='+stock)
		page = urllib2.urlopen(url)
		soup = BeautifulSoup(page, 'html.parser')
		tables = soup.findAll('table', {"class" : 'table-qsp-stats'})	# Found using page inspection
		for table in tables:
			table_body = table.find('tbody')
			rows = table_body.find_all('tr')

			for row in rows:
				col_name = row.find_all('span')							# Use span to avoid supscripts
				col_name = [cell.text.strip() for cell in col_name]
				col_val = row.find_all('td')
				col_val = [cell.text.strip() for cell in col_val]
				technicals[col_name[0]] = col_val[1]					# col_val[0] is the name cell (with subscript)
		return technicals
	except Exception as e:
		print('Failed, exception: ', str(e))



def scrape(stock_list, interested, technicals):
	for each_stock in stock_list:
		technicals = scrape_yahoo(each_stock)
		print(each_stock)
		for ind in interested:
			print(ind + ": "+ technicals[ind])
		print("------")
		time.sleep(1)													# Use delay to avoid getting flagged as bot
	return technicals

def main():
	stock_list = ['aapl', 'tsla', 'ge']
	interested = ['Market Cap (intraday)', 'Return on Equity', 'Revenue', 'Quarterly Revenue Growth']
	technicals = {}
	tech = scrape(stock_list, interested, technicals)
	#print(tech)

	
if __name__ == "__main__":
	main()