def page_scraper(ib_exchange_url):
'''
It takes a page url (Interactive Brokers)
It returns a dictionary mapping each symbol with a tuple
(company name, symbol, currency)
'''
page = 0
symbols = {}
while True:
page += 1
time.sleep(1.01)
print(page)
url = ib_exchange_url + str(page)
valid_page = False
try:
raw_html = simple_get(url)
soup = BeautifulSoup(raw_html, 'html.parser')
a = soup.find_all('tr')
for tr in a:
tr_str = str(tr).replace('\n', '')
if tr_str[0:8] == '<tr><td>':
symbol_data = parse_ib_symbol_record(tr_str)
symbols[symbol_data[0]] = tuple ([symb for symb in symbol_data[1:]])
valid_page = True
except:
break
if valid_page == False: break
return symbols
def pol_scrape(url):
html = web_scraper.simple_get(url)
soup = bs4.BeautifulSoup(html, 'html.parser')
text = []
for peas in soup.select('div[class="story-text "] > p'):
text.append(peas.text)
result = ' '.join(text)
return result
def wpt_scrape(url):
html = web_scraper.simple_get(url)
soup = bs4.BeautifulSoup(html, 'html.parser')
text = []
for peas in soup.select('p'):
text.append(peas.text)
result = ' '.join(text)
return result
def abc_scrape(url):
html = web_scraper.simple_get(url)
soup = bs4.BeautifulSoup(html, 'html.parser')
text = []
for peas in soup.select('p[itemprop="articleBody"]'):
text.append(peas.text)
result = ' '.join(text)
return result
def nyt_scrape(url):
html = web_scraper.simple_get(url)
soup = bs4.BeautifulSoup(html)
text = []
for peas in soup.find_all('p'):
try:
if 'css-1i0edl6' in peas['class']:
text.append(peas.text)
except:
continue
result = ' '.join(text)
return result
def cnn_scrape(url):
html = web_scraper.simple_get(url)
soup = bs4.BeautifulSoup(html)
text = []
for peas in soup.find_all('meta'):
try:
if 'description' in peas['itemprop']:
text.append(peas['content'])
except:
continue
for peas in soup.find_all('div'):
try:
if 'zn-body__paragraph' in peas['class']:
text.append(peas.text)
except:
continue
result = ' '.join(text)
return result