Python Homework

import bs4

import requests

from bs4 import BeautifulSoup

#1#

r = requests.get('https://finance.yahoo.com/quote/FB/history?period1=1442707200&period2=1600560000&interval=1mo&filter=history&frequency=1mo')

FB_soup = bs4.BeautifulSoup(r.text,'html.parser')

FB_table =FB_soup.find_all('table',{'data-test':"historical-prices"})

FB_stock = []

for table in FB_table:

headers =[]

rows = table.find_all('tr')

for header in table.find('tr').find_all('th'):

headers.append(header.text)

for row in table.find_all('tr')[1:]:

values = []

for col in row.find_all(['th','td']):

values.append(col.text)

if values:

FB_dict = {headers[i]: values[i] for i in range(len(values))}

FB_stock.append(FB_dict)

for info in FB_stock:

print(info)

#2#

r = requests.get('https://finance.yahoo.com/quote/AMZN/history?period1=1442707200&period2=1600560000&interval=1mo&filter=history&frequency=1mo')

AMZN_soup = bs4.BeautifulSoup(r.text,'html.parser')

AMZN_table = AMZN_soup.find_all('table',{'data-test':"historical-prices"})

r = requests.get('https://finance.yahoo.com/quote/AMZN/history?period1=1442707200&period2=1600560000&interval=1mo&filter=history&frequency=1mo')

AMZN_soup = bs4.BeautifulSoup(r.text,'html.parser')

AMZN_table = AMZN_soup.find_all('table',{'data-test':"historical-prices"})

AMZN_stock = []

for table in AMZN_table:

AMZN_headers = []

AMZN_rows = table.find_all('tr')

for header in table.find('tr').find_all('th'):

headers.append(header.text)

for row in table.find_all('tr')[1:]:

values = []

for col in row.find_all(['th','td']):

values.append(col.text)

if values:

AMZN_dict = {headers[i]: values[i] for i in range(len(values))}

AMZN_stock.append(AMZN_dict)

for info in AMZN_stock:

print(info)

#3#

r = requests.get('https://finance.yahoo.com/quote/GOOG/history?period1=1442707200&period2=1600560000&interval=1mo&filter=history&frequency=1mo')

GOOG_soup = bs4.BeautifulSoup(r.text,'html.parser')

GOOG_table = GOOG_soup.find_all('table',{'data-test':"historical-prices"})

GOOG_stock = []

for table in GOOG_table:

GOOG_headers = []

GOOG_rows = table.find_all('tr')

for header in table.find('tr').find_all('th'):

headers.append(header.text)

for row in table.find_all('tr')[1:]:

values = []

for col in row.find_all(['th','td']):

values.append(col.text)

if values:

GOOG_dict = {headers[i]: values[i] for i in range(len(values))}

GOOG_stock.append(GOOG_dict)

for info in GOOG_stock:

print(info)

#4#

r = requests.get('https://finance.yahoo.com/quote/AAPL/history?period1=1442707200&period2=1600560000&interval=1mo&filter=history&frequency=1mo')

AAPL_soup = bs4.BeautifulSoup(r.text,'html.parser')

AAPL_table = AAPL_soup.find_all('table',{'data-test':"historical-prices"})

AAPL_stock = []

for table in AAPL_table:

AAPL_headers = []

AAPL_rows = table.find_all('tr')

for header in table.find('tr').find_all('th'):

headers.append(header.text)

for row in table.find_all('tr')[1:]:

values = []

for col in row.find_all(['th','td']):

values.append(col.text)

if values:

AAPL_dict = {headers[i]: values[i] for i in range(len(values))}

AAPL_stock.append(AAPL_dict)

for info in AAPL_stock: