Bet365 Web-scraper

import aiohttp
import asyncio
import aiofiles
import requests_cache
import pandas as pd
import logging
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.chrome.options import Options
from webdriver_manager.chrome import ChromeDriverManager

logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

requests_cache.install_cache('bet365_cache', expire_after=3600)

semaphore = asyncio.Semaphore(5)

class WebDriver:
    def __init__(self):
        options = Options()
        options.headless = True
        self.driver = webdriver.Chrome(service=Service(ChromeDriverManager().install()), options=options)

    def __enter__(self):
        return self.driver

    def __exit__(self, exc_type, exc_val, exc_tb):
        self.driver.quit()

async def fetch_odds_data(session, url):
    async with semaphore:
        try:
            async with session.get(url) as response:
                response.raise_for_status()
                return await response.text()
        except aiohttp.ClientError as e:
            logging.error(f"Request failed for {url}: {e}")
            return None

async def fetch_odds_data_selenium(url):
    def get_html_content():
        with WebDriver() as driver:
            driver.get(url)
            return driver.page_source

    loop = asyncio.get_running_loop()

    html_content = await loop.run_in_executor(None, get_html_content)
    return html_content

def parse_odds_data(html_content):
    pass

async def save_to_excel(data, filename):
    if data:
        df = pd.DataFrame(data, columns=['Match', 'Odds1', 'OddsX', 'Odds2'])
        csv_content = df.to_csv(index=False)
        async with aiofiles.open(filename, 'w') as file:
            await file.write(csv_content)
        logging.info(f"Data saved to {filename}")
    else:
        logging.warning("No data to save.")

async def main(urls):
    async with aiohttp.ClientSession() as session:
        tasks = [fetch_odds_data(session, url) for url in urls]
        html_contents = await asyncio.gather(*tasks)

        for url, html_content in zip(urls, html_contents):
            if html_content:
                odds_data = parse_odds_data(html_content)
                await save_to_excel(odds_data, f'odds_data_{urls.index(url)}.csv')

if __name__ == '__main__':
    urls = [
        'https://www.bet365.com/#/AC/B1/C1/D13/E2/F163/',
    ]

    asyncio.run(main(urls))