Files
Priceflow/analyze_carrefour_prices.py
T

60 lines
1.8 KiB
Python

"""
Analyze Carrefour price extraction
"""
import asyncio
import sys
sys.path.insert(0, '/app')
from playwright.async_api import async_playwright
from bs4 import BeautifulSoup
async def main():
playwright = await async_playwright().start()
browser = await playwright.chromium.connect_over_cdp("ws://browserless:3000")
context = await browser.new_context(
viewport={"width": 1920, "height": 1080},
user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
)
page = await context.new_page()
print("Loading Carrefour search...")
await page.goto("https://www.carrefour.fr/s?q=chaise", wait_until="networkidle")
content = await page.content()
soup = BeautifulSoup(content, "html.parser")
products = soup.select("article.product-list-card-plp-grid-new")
print(f"Found {len(products)} products\n")
for i, product in enumerate(products[:3]):
print(f"=== Product {i+1} ===")
# Title
title_el = product.select_one("h3, h2, a")
title = title_el.get_text(strip=True) if title_el else "N/A"
print(f"Title: {title[:60]}")
# Find all text with € symbol
import re
product_html = str(product)
prices = re.findall(r'(\d+[.,]\d+)\s*€', product_html)
print(f"Prices found in HTML: {prices}")
# Look for price elements
price_els = product.find_all(string=re.compile('€'))
if price_els:
print(f"Elements with €:")
for el in price_els[:3]:
print(f" - {el.strip()[:50]}")
print()
await context.close()
await browser.close()
await playwright.stop()
if __name__ == "__main__":
asyncio.run(main())