112 lines
3.1 KiB
Python
112 lines
3.1 KiB
Python
import logging
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import re
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import asyncio
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from datetime import datetime
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from string import ascii_uppercase
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from aiohttp import ClientSession
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from bs4 import BeautifulSoup
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from bs4.element import Tag, ResultSet
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log = logging.getLogger(__name__)
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log.setLevel(logging.DEBUG)
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ch = logging.StreamHandler()
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ch.setLevel(logging.DEBUG)
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log.addHandler(ch)
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row_type = tuple[str, str, str, str, str]
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DOMAIN = 'www.marketwatch.com'
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BASE_URL = f'https://{DOMAIN}/tools/markets/stocks/a-z/'
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DIGIT_CATEGORY = '0-9'
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OTHER_CATEGORY = 'Other'
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CATEGORIES = [DIGIT_CATEGORY] + list(ascii_uppercase) + [OTHER_CATEGORY]
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STOCK_SYMBOL_PATTERN = re.compile(r'\(([\w.&]+)\)')
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class UnexpectedMarkupError(Exception):
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pass
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def data_from_rows(trs: ResultSet) -> list[row_type]:
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data: list[row_type] = []
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for row in trs:
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data.append(get_single_row_data(row))
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return data
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def get_single_row_data(table_row: Tag) -> row_type:
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tds = table_row.find_all('td')
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company_name = str(tds[0].a.contents[0]).strip()
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stock_symbol = str(tds[0].a.contents[1].contents[0]).strip()
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m = re.search(STOCK_SYMBOL_PATTERN, stock_symbol)
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if m is None:
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log.error(f"{stock_symbol} did not match the stock symbol pattern")
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else:
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stock_symbol = m.group(1)
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country = get_str_from_td(tds[1])
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exchange = get_str_from_td(tds[2])
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sector = get_str_from_td(tds[3])
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return company_name, stock_symbol, country, exchange, sector
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def get_str_from_td(td: Tag) -> str:
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try:
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content = td.contents[0]
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except IndexError:
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return ''
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return str(content).strip()
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async def all_trs_from_page(url: str) -> ResultSet:
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async with ClientSession() as session:
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async with session.get(url) as response:
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html = await response.text()
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soup = BeautifulSoup(html, 'html.parser')
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try:
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return soup.find('div', {'id': 'marketsindex'}).table.tbody.find_all('tr')
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except AttributeError:
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log.error("Unexpected HTML markup!")
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file_name = f'unexpected_response_at_{datetime.now().strftime("%Y-%m-%d_%H-%M")}.html'
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with open(file_name, 'w') as f:
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f.write(html)
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raise UnexpectedMarkupError
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async def all_data_from_category(category: str) -> list[row_type]:
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log.info(f"Getting companies starting with '{category}'")
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data: list[row_type] = []
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page = 1
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trs = await all_trs_from_page(f'{BASE_URL}{category}')
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while len(trs) > 0:
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log.info(f"Scraping page {page}")
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data.extend(data_from_rows(trs))
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page += 1
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trs = await all_trs_from_page(f'{BASE_URL}{category}/{page}')
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return data
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async def get_all_data(asynchronous: bool = False) -> list[row_type]:
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if asynchronous:
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results = await asyncio.gather(*(all_data_from_category(category) for category in CATEGORIES))
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else:
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results = [await all_data_from_category(category) for category in CATEGORIES]
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data = []
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for result in results:
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data.extend(result)
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return data
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def main() -> None:
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data = asyncio.run(get_all_data(True))
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for tup in data:
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print(tup)
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print(len(data), 'datasets')
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if __name__ == '__main__':
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main()
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