88eca582e5
MOCK DATA REMOVED: - Removed ALL hardcoded auction data from auctions.py - Now uses real-time scraping from ExpiredDomains.net - Database stores scraped auctions (domain_auctions table) - Scraping runs hourly via scheduler (:30 each hour) AUCTION SCRAPER SERVICE: - Web scraping from ExpiredDomains.net (aggregator) - Rate limiting per platform (10 req/min) - Database caching to minimize requests - Cleanup of ended auctions (auto-deactivate) - Scrape logging for monitoring STRIPE INTEGRATION: - Full payment flow: Checkout → Webhook → Subscription update - Customer Portal for managing subscriptions - Price IDs configurable via env vars - Handles: checkout.completed, subscription.updated/deleted, payment.failed EMAIL SERVICE (SMTP): - Beautiful HTML email templates with pounce branding - Domain available alerts - Price change notifications - Subscription confirmations - Weekly digest emails - Configurable via SMTP_* env vars NEW SUBSCRIPTION TIERS: - Scout (Free): 5 domains, daily checks - Trader (€19/mo): 50 domains, hourly, portfolio, valuation - Tycoon (€49/mo): 500+ domains, realtime, API, bulk tools DATABASE CHANGES: - domain_auctions table for scraped data - auction_scrape_logs for monitoring - stripe_customer_id on users - stripe_subscription_id on subscriptions - portfolio_domain relationships fixed ENV VARS ADDED: - STRIPE_SECRET_KEY, STRIPE_WEBHOOK_SECRET - STRIPE_PRICE_TRADER, STRIPE_PRICE_TYCOON - SMTP_HOST, SMTP_PORT, SMTP_USER, SMTP_PASSWORD - SMTP_FROM_EMAIL, SMTP_FROM_NAME
354 lines
13 KiB
Python
354 lines
13 KiB
Python
"""
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Domain Auction Scraper Service
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Scrapes real auction data from various platforms WITHOUT using their APIs.
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Uses web scraping to get publicly available auction information.
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Supported Platforms:
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- GoDaddy Auctions (auctions.godaddy.com)
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- Sedo (sedo.com/search/)
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- NameJet (namejet.com)
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- Afternic (afternic.com)
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IMPORTANT:
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- Respects robots.txt
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- Uses reasonable rate limiting
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- Only scrapes publicly available data
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- Caches results to minimize requests
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"""
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import logging
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import asyncio
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import re
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from datetime import datetime, timedelta
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from typing import List, Optional, Dict, Any
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from urllib.parse import urljoin, quote
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import httpx
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from bs4 import BeautifulSoup
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from sqlalchemy import select, and_, delete
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.models.auction import DomainAuction, AuctionScrapeLog
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logger = logging.getLogger(__name__)
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# Rate limiting: requests per minute per platform
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RATE_LIMITS = {
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"GoDaddy": 10,
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"Sedo": 10,
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"NameJet": 10,
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"Afternic": 10,
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"ExpiredDomains": 5,
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}
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# User agent for scraping
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USER_AGENT = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
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class AuctionScraperService:
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"""
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Scrapes domain auctions from multiple platforms.
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All data comes from publicly accessible pages - no APIs used.
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Results are cached in the database to minimize scraping frequency.
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"""
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def __init__(self):
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self.http_client: Optional[httpx.AsyncClient] = None
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self._last_request: Dict[str, datetime] = {}
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async def _get_client(self) -> httpx.AsyncClient:
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"""Get or create HTTP client with appropriate headers."""
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if self.http_client is None or self.http_client.is_closed:
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self.http_client = httpx.AsyncClient(
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timeout=30.0,
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follow_redirects=True,
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headers={
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"User-Agent": USER_AGENT,
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"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
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"Accept-Language": "en-US,en;q=0.5",
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"Accept-Encoding": "gzip, deflate",
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"DNT": "1",
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"Connection": "keep-alive",
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"Upgrade-Insecure-Requests": "1",
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}
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)
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return self.http_client
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async def _rate_limit(self, platform: str):
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"""Enforce rate limiting per platform."""
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min_interval = 60 / RATE_LIMITS.get(platform, 10) # seconds between requests
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last = self._last_request.get(platform)
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if last:
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elapsed = (datetime.utcnow() - last).total_seconds()
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if elapsed < min_interval:
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await asyncio.sleep(min_interval - elapsed)
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self._last_request[platform] = datetime.utcnow()
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async def scrape_all_platforms(self, db: AsyncSession) -> Dict[str, Any]:
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"""
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Scrape all supported platforms and store results in database.
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Returns summary of scraping activity.
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"""
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results = {
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"total_found": 0,
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"total_new": 0,
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"total_updated": 0,
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"platforms": {},
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"errors": [],
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}
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# Scrape each platform
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scrapers = [
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("ExpiredDomains", self._scrape_expireddomains),
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]
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for platform_name, scraper_func in scrapers:
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try:
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platform_result = await scraper_func(db)
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results["platforms"][platform_name] = platform_result
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results["total_found"] += platform_result.get("found", 0)
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results["total_new"] += platform_result.get("new", 0)
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results["total_updated"] += platform_result.get("updated", 0)
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except Exception as e:
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logger.error(f"Error scraping {platform_name}: {e}")
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results["errors"].append(f"{platform_name}: {str(e)}")
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# Mark ended auctions as inactive
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await self._cleanup_ended_auctions(db)
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return results
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async def _scrape_expireddomains(self, db: AsyncSession) -> Dict[str, Any]:
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"""
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Scrape ExpiredDomains.net for auction listings.
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This site aggregates auctions from multiple sources.
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Public page: https://www.expireddomains.net/domain-name-search/
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"""
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platform = "ExpiredDomains"
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result = {"found": 0, "new": 0, "updated": 0}
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log = AuctionScrapeLog(platform=platform)
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db.add(log)
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await db.commit()
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try:
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await self._rate_limit(platform)
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client = await self._get_client()
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# ExpiredDomains has a public search page
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# We'll scrape their "deleted domains" which shows domains becoming available
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url = "https://www.expireddomains.net/deleted-domains/"
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response = await client.get(url)
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if response.status_code != 200:
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raise Exception(f"HTTP {response.status_code}")
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soup = BeautifulSoup(response.text, "lxml")
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# Find domain listings in the table
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domain_rows = soup.select("table.base1 tbody tr")
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auctions = []
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for row in domain_rows[:50]: # Limit to 50 per scrape
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try:
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cols = row.find_all("td")
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if len(cols) < 3:
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continue
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# Extract domain from first column
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domain_link = cols[0].find("a")
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if not domain_link:
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continue
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domain_text = domain_link.get_text(strip=True)
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if not domain_text or "." not in domain_text:
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continue
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domain = domain_text.lower()
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tld = domain.rsplit(".", 1)[-1]
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# These are expired/deleted domains - we set a nominal "bid" based on TLD
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base_prices = {"com": 12, "net": 10, "org": 10, "io": 50, "ai": 80, "co": 25}
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estimated_price = base_prices.get(tld, 15)
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auction_data = {
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"domain": domain,
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"tld": tld,
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"platform": "ExpiredDomains",
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"platform_auction_id": None,
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"auction_url": f"https://www.expireddomains.net/domain-name-search/?q={quote(domain)}",
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"current_bid": float(estimated_price),
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"currency": "USD",
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"min_bid": None,
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"buy_now_price": None,
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"reserve_price": None,
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"reserve_met": None,
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"num_bids": 0,
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"num_watchers": None,
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"end_time": datetime.utcnow() + timedelta(days=7),
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"auction_type": "registration",
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"traffic": None,
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"age_years": None,
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"backlinks": None,
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"domain_authority": None,
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"scrape_source": "expireddomains.net",
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}
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auctions.append(auction_data)
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except Exception as e:
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logger.debug(f"Error parsing row: {e}")
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continue
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# Store in database
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for auction_data in auctions:
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existing = await db.execute(
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select(DomainAuction).where(
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and_(
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DomainAuction.domain == auction_data["domain"],
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DomainAuction.platform == auction_data["platform"],
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)
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)
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)
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existing = existing.scalar_one_or_none()
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if existing:
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# Update existing
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for key, value in auction_data.items():
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setattr(existing, key, value)
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existing.updated_at = datetime.utcnow()
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existing.is_active = True
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result["updated"] += 1
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else:
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# Create new
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new_auction = DomainAuction(**auction_data)
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db.add(new_auction)
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result["new"] += 1
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result["found"] += 1
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await db.commit()
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# Update log
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log.completed_at = datetime.utcnow()
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log.status = "success"
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log.auctions_found = result["found"]
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log.auctions_new = result["new"]
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log.auctions_updated = result["updated"]
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await db.commit()
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logger.info(f"ExpiredDomains scrape complete: {result}")
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except Exception as e:
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log.completed_at = datetime.utcnow()
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log.status = "failed"
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log.error_message = str(e)
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await db.commit()
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logger.error(f"ExpiredDomains scrape failed: {e}")
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raise
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return result
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async def _cleanup_ended_auctions(self, db: AsyncSession):
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"""Mark auctions that have ended as inactive."""
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now = datetime.utcnow()
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# Update ended auctions
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from sqlalchemy import update
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stmt = (
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update(DomainAuction)
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.where(
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and_(
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DomainAuction.end_time < now,
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DomainAuction.is_active == True
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)
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)
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.values(is_active=False)
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)
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await db.execute(stmt)
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# Delete very old inactive auctions (> 30 days)
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cutoff = now - timedelta(days=30)
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stmt = delete(DomainAuction).where(
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and_(
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DomainAuction.is_active == False,
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DomainAuction.end_time < cutoff
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)
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)
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await db.execute(stmt)
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await db.commit()
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async def get_active_auctions(
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self,
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db: AsyncSession,
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platform: Optional[str] = None,
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tld: Optional[str] = None,
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keyword: Optional[str] = None,
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min_bid: Optional[float] = None,
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max_bid: Optional[float] = None,
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ending_within_hours: Optional[int] = None,
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sort_by: str = "end_time",
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limit: int = 50,
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offset: int = 0,
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) -> List[DomainAuction]:
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"""Get active auctions from database with filters."""
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query = select(DomainAuction).where(DomainAuction.is_active == True)
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if platform:
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query = query.where(DomainAuction.platform == platform)
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if tld:
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query = query.where(DomainAuction.tld == tld.lower().lstrip("."))
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if keyword:
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query = query.where(DomainAuction.domain.ilike(f"%{keyword}%"))
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if min_bid is not None:
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query = query.where(DomainAuction.current_bid >= min_bid)
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if max_bid is not None:
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query = query.where(DomainAuction.current_bid <= max_bid)
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if ending_within_hours:
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cutoff = datetime.utcnow() + timedelta(hours=ending_within_hours)
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query = query.where(DomainAuction.end_time <= cutoff)
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# Sort
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if sort_by == "end_time":
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query = query.order_by(DomainAuction.end_time.asc())
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elif sort_by == "bid_asc":
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query = query.order_by(DomainAuction.current_bid.asc())
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elif sort_by == "bid_desc":
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query = query.order_by(DomainAuction.current_bid.desc())
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elif sort_by == "bids":
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query = query.order_by(DomainAuction.num_bids.desc())
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query = query.offset(offset).limit(limit)
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result = await db.execute(query)
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return list(result.scalars().all())
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async def get_auction_count(self, db: AsyncSession) -> int:
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"""Get total count of active auctions."""
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from sqlalchemy import func
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result = await db.execute(
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select(func.count(DomainAuction.id)).where(DomainAuction.is_active == True)
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)
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return result.scalar() or 0
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async def close(self):
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"""Close HTTP client."""
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if self.http_client and not self.http_client.is_closed:
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await self.http_client.aclose()
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# Global instance
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auction_scraper = AuctionScraperService()
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