Action Networkのスポーツベッティングデータをスクレイピングする方法

import asyncio
from playwright.async_api import async_playwright

async def scrape_odds():
    async with async_playwright() as p:
        # Launching with stealth-like behavior is necessary for Action Network
        browser = await p.chromium.launch(headless=True)
        context = await browser.new_context(user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36')
        page = await context.new_page()
        
        await page.goto('https://www.actionnetwork.com/nba/odds')
        # Wait for the specific odds container to load via JavaScript
        await page.wait_for_selector('div[class*="OddsTable"]')
        
        # Extract data using JS evaluation
        game_info = await page.eval_on_selector_all('div[class*="GameName"]', 'elements => elements.map(e => e.innerText)')
        
        for game in game_info:
            print(f'NBA Matchup: {game}')
            
        await browser.close()

asyncio.run(scrape_odds())

import scrapy

class ActionSpider(scrapy.Spider):
    name = 'action_spider'
    start_urls = ['https://www.actionnetwork.com/nfl/odds']

    def parse(self, response):
        # Action Network requires a JS-rendering middleware like Scrapy-Playwright
        # This example assumes the middleware is configured
        for matchup in response.css('div.odds-row'):
            yield {
                'team': matchup.css('span.team-name::text').get(),
                'spread': matchup.css('div.spread-value::text').get(),
                'moneyline': matchup.css('div.moneyline-value::text').get()
            }

        # Handling basic pagination for article archives
        next_page = response.css('a.next-page-link::attr(href)').get()
        if next_page:
            yield response.follow(next_page, self.parse)

const puppeteer = require('puppeteer-extra');
const StealthPlugin = require('puppeteer-extra-plugin-stealth');
puppeteer.use(StealthPlugin());

(async () => {
  const browser = await puppeteer.launch({ headless: true });
  const page = await browser.newPage();
  
  // Navigate to odds page and wait for network to settle
  await page.goto('https://www.actionnetwork.com/nfl/odds', { waitUntil: 'networkidle2' });
  
  // Target the game header elements
  const results = await page.evaluate(() => {
    const items = Array.from(document.querySelectorAll('h3'));
    return items.map(item => item.innerText);
  });
  
  console.log('Found Games:', results);
  await browser.close();
})();