dc77b2110a
## Watchlist & Monitoring - ✅ Automatic domain monitoring based on subscription tier - ✅ Email alerts when domains become available - ✅ Health checks (DNS/HTTP/SSL) with caching - ✅ Expiry warnings for domains <30 days - ✅ Weekly digest emails - ✅ Instant alert toggle (optimistic UI updates) - ✅ Redesigned health check overlays with full details - 🔒 'Not public' display for .ch/.de domains without public expiry ## Portfolio Management (NEW) - ✅ Track owned domains with purchase price & date - ✅ ROI calculation (unrealized & realized) - ✅ Domain valuation with auto-refresh - ✅ Renewal date tracking - ✅ Sale recording with profit calculation - ✅ List domains for sale directly from portfolio - ✅ Full portfolio summary dashboard ## Listings / For Sale - ✅ Renamed from 'Portfolio' to 'For Sale' - ✅ Fixed listing limits: Scout=0, Trader=5, Tycoon=50 - ✅ Featured badge for Tycoon listings - ✅ Inquiries modal for sellers - ✅ Email notifications when buyer inquires - ✅ Inquiries column in listings table ## Scrapers & Data - ✅ Added 4 new registrar scrapers (Namecheap, Cloudflare, GoDaddy, Dynadot) - ✅ Increased scraping frequency to 2x daily (03:00 & 15:00 UTC) - ✅ Real historical data from database - ✅ Fixed RDAP/WHOIS for .ch/.de domains - ✅ Enhanced SSL certificate parsing ## Scheduler Jobs - ✅ Tiered domain checks (Scout=daily, Trader=hourly, Tycoon=10min) - ✅ Daily health checks (06:00 UTC) - ✅ Weekly expiry warnings (Mon 08:00 UTC) - ✅ Weekly digest emails (Sun 10:00 UTC) - ✅ Auction cleanup every 15 minutes ## UI/UX Improvements - ✅ Removed 'Back' buttons from Intel pages - ✅ Redesigned Radar page to match Market/Intel design - ✅ Less prominent check frequency footer - ✅ Consistent StatCard components across all pages - ✅ Ambient background glows - ✅ Better error handling ## Documentation - ✅ Updated README with monitoring section - ✅ Added env.example with all required variables - ✅ Updated Memory Bank (activeContext.md) - ✅ SMTP configuration requirements documented
134 lines
5.5 KiB
Python
134 lines
5.5 KiB
Python
"""GoDaddy TLD price scraper.
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GoDaddy is the world's largest domain registrar with significant market share.
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Their prices are important for market comparison, especially for promotional pricing.
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"""
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import logging
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from datetime import datetime
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from typing import Optional
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import httpx
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from app.services.tld_scraper.base import BaseTLDScraper, TLDPriceData, ScraperError
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logger = logging.getLogger(__name__)
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class GoDaddyScraper(BaseTLDScraper):
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"""
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Scraper for GoDaddy domain prices.
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GoDaddy doesn't have a public pricing API, but we maintain
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known prices for major TLDs based on their public pricing pages.
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Key characteristics of GoDaddy pricing:
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- Low promotional first-year prices
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- Higher renewal prices (important for "renewal trap" detection)
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- Frequent sales and discounts
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"""
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name = "godaddy"
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base_url = "https://www.godaddy.com"
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# Known GoDaddy prices (as of Dec 2024)
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# Note: GoDaddy has aggressive promo pricing but high renewals
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# Source: https://www.godaddy.com/tlds
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GODADDY_PRICES = {
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# Major TLDs - Note the renewal trap on many!
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"com": {"reg": 11.99, "renew": 22.99, "transfer": 11.99, "promo": 0.99},
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"net": {"reg": 14.99, "renew": 23.99, "transfer": 14.99},
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"org": {"reg": 9.99, "renew": 23.99, "transfer": 9.99},
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"info": {"reg": 2.99, "renew": 24.99, "transfer": 2.99, "promo": True},
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"biz": {"reg": 16.99, "renew": 24.99, "transfer": 16.99},
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# Premium ccTLDs
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"io": {"reg": 44.99, "renew": 59.99, "transfer": 44.99},
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"co": {"reg": 11.99, "renew": 38.99, "transfer": 11.99},
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"ai": {"reg": 79.99, "renew": 99.99, "transfer": 79.99},
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"me": {"reg": 2.99, "renew": 19.99, "transfer": 2.99, "promo": True},
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# Tech TLDs
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"dev": {"reg": 15.99, "renew": 19.99, "transfer": 15.99},
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"app": {"reg": 17.99, "renew": 21.99, "transfer": 17.99},
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"tech": {"reg": 4.99, "renew": 54.99, "transfer": 4.99, "promo": True}, # Major trap!
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"xyz": {"reg": 0.99, "renew": 14.99, "transfer": 0.99, "promo": True},
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# Budget/Promo TLDs (watch out for renewals!)
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"online": {"reg": 0.99, "renew": 44.99, "transfer": 0.99, "promo": True},
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"site": {"reg": 0.99, "renew": 39.99, "transfer": 0.99, "promo": True},
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"store": {"reg": 0.99, "renew": 59.99, "transfer": 0.99, "promo": True},
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"club": {"reg": 0.99, "renew": 16.99, "transfer": 0.99, "promo": True},
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"website": {"reg": 0.99, "renew": 24.99, "transfer": 0.99, "promo": True},
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"space": {"reg": 0.99, "renew": 24.99, "transfer": 0.99, "promo": True},
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# European ccTLDs
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"uk": {"reg": 8.99, "renew": 12.99, "transfer": 8.99},
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"de": {"reg": 9.99, "renew": 14.99, "transfer": 9.99},
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"eu": {"reg": 6.99, "renew": 12.99, "transfer": 6.99},
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"fr": {"reg": 11.99, "renew": 14.99, "transfer": 11.99},
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"nl": {"reg": 9.99, "renew": 14.99, "transfer": 9.99},
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# Other popular TLDs
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"ca": {"reg": 12.99, "renew": 19.99, "transfer": 12.99},
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"us": {"reg": 5.99, "renew": 21.99, "transfer": 5.99},
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"tv": {"reg": 34.99, "renew": 44.99, "transfer": 34.99},
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"cc": {"reg": 9.99, "renew": 14.99, "transfer": 9.99},
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# New gTLDs
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"shop": {"reg": 2.99, "renew": 39.99, "transfer": 2.99, "promo": True},
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"blog": {"reg": 2.99, "renew": 34.99, "transfer": 2.99, "promo": True},
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"cloud": {"reg": 4.99, "renew": 24.99, "transfer": 4.99, "promo": True},
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"live": {"reg": 2.99, "renew": 29.99, "transfer": 2.99, "promo": True},
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"world": {"reg": 2.99, "renew": 34.99, "transfer": 2.99, "promo": True},
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}
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async def scrape(self) -> list[TLDPriceData]:
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"""
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Return GoDaddy's known pricing data.
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Since GoDaddy doesn't expose a public pricing API,
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we use curated data from their public pricing pages.
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Returns:
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List of TLDPriceData objects with GoDaddy pricing
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"""
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results = []
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now = datetime.utcnow()
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for tld, prices in self.GODADDY_PRICES.items():
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# Determine if this is promotional pricing
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is_promo = prices.get("promo", False)
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promo_price = prices["reg"] if is_promo else None
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results.append(TLDPriceData(
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tld=tld,
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registrar="godaddy",
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registration_price=prices["reg"],
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renewal_price=prices["renew"],
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transfer_price=prices.get("transfer"),
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promo_price=promo_price,
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currency="USD",
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source="static",
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confidence=0.9, # Static data, updated periodically
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scraped_at=now,
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notes="High renewal trap alert" if prices["renew"] > prices["reg"] * 3 else None,
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))
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logger.info(f"Loaded {len(results)} GoDaddy prices")
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return results
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async def health_check(self) -> bool:
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"""Check if GoDaddy is accessible."""
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try:
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async with httpx.AsyncClient(timeout=10.0) as client:
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response = await client.get(
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self.base_url,
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headers=self.get_headers(),
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follow_redirects=True,
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)
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return response.status_code == 200
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except Exception as e:
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logger.debug(f"GoDaddy health check failed: {e}")
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return False
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