def scrape_balance_sheet(self):
soup = get_soup(f"{self.base_url}/{self.url_symbol}/financials/balance-sheet")
# Fetch the price from the top of the page
price = None
intraday_price = soup.find("h2", {"class": "intraday__price"})
if intraday_price:
price = (
intraday_price.get_text(strip=True).replace("$", "").replace("€", "")
)
if price.isdecimal():
if price is not None and price != "":
price = float(locale.atof(price))
else:
price = None
# TODO - Take the price and convert it a USD value based on country codes
# p = British pound?
total_assets_dict = MWScraper.financials_search(soup, "Total Assets")
total_liabilities_dict = MWScraper.financials_search(soup, "Total Liabilities")
return {
"price": price,
"assets": total_assets_dict["item"],
"liabilities": total_liabilities_dict["item"],
}
def scrape_profile(self):
soup = get_soup(f"{self.base_url}/{self.url_symbol}/company-profile")
return {
"curr_ratio": MWScraper.profile_search(soup, "Current Ratio"),
"pe_ratio": MWScraper.profile_search(soup, "P/E Current"),
"pb_ratio": MWScraper.profile_search(soup, "Price to Book Ratio"),
"sector": MWScraper.profile_search(soup, "Sector"),
}
def scrape_quote(self):
soup = get_soup(f"{self.base_url}/{self.url_symbol}")
return {
"div_yield": YFScraper.search_div_yield(soup),
"eps": YFScraper.quote_search(soup, "EPS_RATIO-value"),
"mkt_cap": YFScraper.quote_search(soup, "MARKET_CAP-value"),
"pe_ratio": YFScraper.quote_search(soup, "PE_RATIO-value"),
}
def scrape_summary(self):
soup = get_soup(f"{self.base_url}/{self.url_symbol}/")
raw_dividend_yield = soup.find(
text="Yield"
).parent.next_sibling.next_sibling.contents[0]
dividend_yield = raw_dividend_yield[: len(raw_dividend_yield) - 1]
return {
"div_yield": dividend_yield,
}
def scrape_key_stats(self):
output_dict = {}
soup = get_soup(f"{self.base_url}/{self.url_symbol}/key-statistics")
output_dict["bvps"] = YFScraper.key_stats_search(
soup, "Book Value Per Share", True)
output_dict["curr_ratio"] = YFScraper.key_stats_search(
soup, "Current Ratio", True)
output_dict["payout_ratio"] = YFScraper.key_stats_search(
soup, "Payout Ratio", False)
return output_dict
def scrape_financials(self):
soup = get_soup(f"{self.base_url}/{self.url_symbol}/financials")
eps_dict = MWScraper.financials_search(soup, "EPS (Basic)")
sales_dict = MWScraper.financials_search(soup, "Sales/Revenue")
diluted_shares = MWScraper.financials_search(soup, "Diluted Shares Outstanding")
return {
"eps": eps_dict.get("item"),
"eps_list": eps_dict["item_list"],
"sales": sales_dict["item"],
"sales_list": sales_dict["item_list"],
"mw_data_range": eps_dict["year_list"],
"diluted_shares": diluted_shares.get("item"),
}
def scrape_cash_flow(self):
soup = get_soup(f"{self.base_url}/{self.url_symbol}/financials/cash-flow")
dividend_dict = MWScraper.financials_search(soup, "Cash Dividends Paid - Total")
# Marketwatch seems to list all dividends as negative, so adjust values
dividend = None
if dividend_dict["item"] is not None:
dividend = abs(dividend_dict["item"])
dividend_list = None
if dividend_dict["item_list"] is not None:
dividend_list = [
abs(i) if i is not None else i for i in dividend_dict["item_list"]
]
return {"dividend": dividend, "dividend_list": dividend_list}
def scrape_balance_sheet(self):
soup = get_soup(f"{self.base_url}/{self.url_symbol}/financials/balance-sheet")
# Fetch the price from the top of the page
price = None
intraday_price = soup.find("h3", {"class": "intraday__price"})
if intraday_price:
price = (
intraday_price.get_text(strip=True).replace("$", "").replace("€", "")
)
if price is not None and price != "":
price = float(locale.atof(price))
total_assets_dict = MWScraper.financials_search(soup, "Total Assets")
total_liabilities_dict = MWScraper.financials_search(soup, "Total Liabilities")
return {
"price": price,
"assets": total_assets_dict["item"],
"liabilities": total_liabilities_dict["item"],
}
