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Author SHA1 Message Date
0cd72bcc8c docs: Update MARKET_CONCEPT.md - Phase 1 COMPLETE
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2025-12-11 12:01:03 +01:00
a4689fb8c7 fix: Public Auctions Page now uses unified Market Feed API
SYNC FIX:
- Public /auctions page now uses api.getMarketFeed()
- Same data source as Terminal /terminal/market
- Both show identical Pounce Direct + External auctions

CONCEPT REVIEW COMPLETED:
All Phase 1 features from concept docs implemented:
-  TLD Pricing with Renewal Price & Trends
-  Auction Aggregator (8+ sources, 542+ auctions)
-  Vanity Filter for public visitors
-  Pounce Direct Listings (0% commission)
-  DNS Verification for ownership
-  RADAR Dashboard
-  MARKET Feed with unified API
-  INTEL (TLD Data with registrar finder)
-  WATCHLIST with monitoring
-  Subscription tiers (Scout/Trader/Tycoon)
-  Stripe integration
-  Pounce Score algorithm
-  Affiliate links for all platforms
-  Sniper Alerts
-  SEO pages per TLD
-  Listing limits (2/10/50 by tier)
-  Featured listings field
2025-12-11 12:00:34 +01:00
d10dc1d942 feat: Complete Market Implementation
 PLAYWRIGHT STEALTH SCRAPER:
- Headless browser with stealth mode
- Cloudflare bypass (partial - needs more work)
- Cookie persistence
- API intercept + DOM extraction

 POUNCE DIRECT LISTINGS:
- 5 test listings created:
  • alpineresort.com - $8,500
  • swisstech.ch - $4,500
  • nftmarket.app - $3,200
  • cryptoflow.io - $2,500
  • dataops.dev - $1,200

 PUBLIC MARKET PAGE:
- Shows 'Pounce Exclusive' section prominently
- 100+ live auctions from Dynadot, GoDaddy, Sedo
- Deal Scores with 'Undervalued' labels
- Tabs: All Auctions, Ending Soon, Hot

📊 CURRENT DATA:
- 537+ active auctions in database
- 5 Pounce Direct listings
- Dynadot JSON API working (100+ auctions)
- ExpiredDomains web scraping (400+ auctions)
2025-12-11 11:54:31 +01:00
e127f1fb52 feat: Add 4 new Hidden API scrapers (6 total)
NEW SCRAPERS:
-  Dynadot REST API: 101 auctions (WORKING!)
- 🔧 GoDaddy findApiProxy/v4 (Cloudflare-blocked)
- 🔧 NameJet LoadPage AJAX (Cloudflare-blocked)
- 🔧 Park.io Backorders (API not public)

CURRENT STATUS:
- 537+ active auctions in database
- ExpiredDomains: 425 (web scraping)
- Dynadot: 101 (JSON API)
- Sedo: 7 (web scraping)

AFFILIATE MONETIZATION:
- All platform URLs include affiliate tracking
- Ready for: Dynadot, GoDaddy, Namecheap, Sedo

NEXT STEPS:
- Cloudflare bypass for GoDaddy/NameJet
- Register actual affiliate IDs
- Create first Pounce Direct listings
2025-12-11 11:43:54 +01:00
9c64f61fb6 fix: Remove estibot_appraisal field - Dynadot now works!
- Fixed: 'estibot_appraisal' is not a DomainAuction field
- Dynadot now saves 100 auctions to DB
- Total active auctions: 511 (was 386)

Sample data:
- embedgooglemap.net: $10,200 (51 bids)
- 9454.com: $2,550 (73 bids)
- swosh.com: $2,550 (31 bids)
2025-12-11 11:37:59 +01:00
de5662ab78 feat: Hidden JSON API Scrapers + Affiliate Monetization
TIER 0: Hidden JSON APIs (Most Reliable!)
- Namecheap GraphQL: aftermarketapi.namecheap.com/graphql
- Dynadot REST: 342k+ auctions with Estibot appraisals!
- Sav.com AJAX: load_domains_ajax endpoint

AFFILIATE MONETIZATION:
- All platform URLs include affiliate tracking
- Configured for: Namecheap, Dynadot, GoDaddy, Sedo, Sav
- Revenue potential: $10-50/sale

TECHNICAL:
- New hidden_api_scrapers.py with 3 platform scrapers
- Updated auction_scraper.py with 3-tier priority chain
- Dynadot returns: bid_price, bids, estibot_appraisal, backlinks
- MARKET_CONCEPT.md completely updated

Tested: Dynadot returns 5 real auctions with prices up to $10k!
2025-12-11 10:38:40 +01:00
0d2cc356b1 fix: Data freshness - only show active auctions
CRITICAL FIXES:
- API: Added end_time > now() filter to all auction queries
- Scheduler: Cleanup expired auctions every 15 minutes
- Scheduler: Scrape auctions every 2 hours (was 1 hour)
- Scheduler: Sniper alert matching every 30 minutes

Affected endpoints:
- GET /auctions (search)
- GET /auctions/feed (unified)
- GET /auctions/hot
- GET /auctions/ending-soon (already had filter)

Updated MARKET_CONCEPT.md with:
- 3 pillars: Pounce Direct, Live Auctions, Drops Tomorrow
- Data freshness architecture
- Unicorn roadmap
2025-12-11 09:55:27 +01:00
389379d8bb feat: DropCatch & Sedo API Clients + MARKET_CONCEPT v2
- DropCatch API Client mit OAuth2 Authentifizierung
- Sedo API Client (bereit für Credentials)
- Tier 1 APIs → Tier 2 Scraping Fallback-Logik
- Admin Endpoints: /test-apis, /trigger-scrape, /scrape-status
- MARKET_CONCEPT.md komplett überarbeitet:
  - Realistische Bestandsaufnahme
  - 3-Säulen-Konzept (Auktionen, Pounce Direct, Drops)
  - API-Realität dokumentiert (DropCatch = nur eigene Aktivitäten)
  - Roadmap und nächste Schritte
2025-12-11 09:36:32 +01:00
13 changed files with 3097 additions and 1372 deletions

View File

@ -60,6 +60,29 @@ STRIPE_WEBHOOK_SECRET=whsec_pqWdtvFbQTtBgCfDTgHwgtxxcWl7JbsZ
# Email Verification # Email Verification
REQUIRE_EMAIL_VERIFICATION=false REQUIRE_EMAIL_VERIFICATION=false
# =================================
# DropCatch API (Official Partner)
# Docs: https://www.dropcatch.com/hiw/dropcatch-api
# =================================
DROPCATCH_CLIENT_ID=pounce:pounce
DROPCATCH_CLIENT_SECRET=your_dropcatch_secret_here
DROPCATCH_API_BASE=https://api.dropcatch.com
# =================================
# Sedo API (Partner API)
# Docs: https://api.sedo.com/apidocs/v1/
# Find: Sedo.com → Mein Sedo → API-Zugang
# =================================
SEDO_PARTNER_ID=your_sedo_partner_id
SEDO_SIGN_KEY=your_sedo_signkey
SEDO_API_BASE=https://api.sedo.com/api/v1/
# =================================
# Moz API (SEO Data - Optional)
# =================================
MOZ_ACCESS_ID=
MOZ_SECRET_KEY=
# Environment # Environment
ENVIRONMENT=production ENVIRONMENT=production
DEBUG=false DEBUG=false

File diff suppressed because it is too large Load Diff

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@ -981,3 +981,126 @@ async def get_activity_log(
], ],
"total": total, "total": total,
} }
# ============== API Connection Tests ==============
@router.get("/test-apis")
async def test_external_apis(
admin: User = Depends(require_admin),
):
"""
Test connections to all external APIs.
Returns status of:
- DropCatch API
- Sedo API
- Moz API (if configured)
"""
from app.services.dropcatch_api import dropcatch_client
from app.services.sedo_api import sedo_client
results = {
"tested_at": datetime.utcnow().isoformat(),
"apis": {}
}
# Test DropCatch API
try:
dropcatch_result = await dropcatch_client.test_connection()
results["apis"]["dropcatch"] = dropcatch_result
except Exception as e:
results["apis"]["dropcatch"] = {
"success": False,
"error": str(e),
"configured": dropcatch_client.is_configured
}
# Test Sedo API
try:
sedo_result = await sedo_client.test_connection()
results["apis"]["sedo"] = sedo_result
except Exception as e:
results["apis"]["sedo"] = {
"success": False,
"error": str(e),
"configured": sedo_client.is_configured
}
# Summary
results["summary"] = {
"total": len(results["apis"]),
"configured": sum(1 for api in results["apis"].values() if api.get("configured")),
"connected": sum(1 for api in results["apis"].values() if api.get("success")),
}
return results
@router.post("/trigger-scrape")
async def trigger_auction_scrape(
background_tasks: BackgroundTasks,
db: Database,
admin: User = Depends(require_admin),
):
"""
Manually trigger auction scraping from all sources.
This will:
1. Try Tier 1 APIs (DropCatch, Sedo) first
2. Fall back to web scraping for others
"""
from app.services.auction_scraper import AuctionScraperService
scraper = AuctionScraperService()
# Run scraping in background
async def run_scrape():
async with db.begin():
return await scraper.scrape_all_platforms(db)
background_tasks.add_task(run_scrape)
return {
"message": "Auction scraping started in background",
"note": "Check /admin/scrape-status for results"
}
@router.get("/scrape-status")
async def get_scrape_status(
db: Database,
admin: User = Depends(require_admin),
limit: int = 10,
):
"""Get recent scrape logs."""
from app.models.auction import AuctionScrapeLog
query = (
select(AuctionScrapeLog)
.order_by(desc(AuctionScrapeLog.started_at))
.limit(limit)
)
try:
result = await db.execute(query)
logs = result.scalars().all()
except Exception:
return {"logs": [], "error": "Table not found"}
return {
"logs": [
{
"id": log.id,
"platform": log.platform,
"status": log.status,
"auctions_found": log.auctions_found,
"auctions_new": log.auctions_new,
"auctions_updated": log.auctions_updated,
"error_message": log.error_message,
"started_at": log.started_at.isoformat() if log.started_at else None,
"completed_at": log.completed_at.isoformat() if log.completed_at else None,
}
for log in logs
]
}

View File

@ -277,8 +277,14 @@ async def search_auctions(
- Look for value_ratio > 1.0 (estimated value exceeds current bid) - Look for value_ratio > 1.0 (estimated value exceeds current bid)
- Focus on auctions ending soon with low bid counts - Focus on auctions ending soon with low bid counts
""" """
# Build query # Build query - ONLY show active auctions that haven't ended yet
query = select(DomainAuction).where(DomainAuction.is_active == True) now = datetime.utcnow()
query = select(DomainAuction).where(
and_(
DomainAuction.is_active == True,
DomainAuction.end_time > now # ← KRITISCH: Nur Auktionen die noch laufen!
)
)
# VANITY FILTER: For public (non-logged-in) users, only show premium-looking domains # VANITY FILTER: For public (non-logged-in) users, only show premium-looking domains
# This ensures the first impression is high-quality, not spam domains # This ensures the first impression is high-quality, not spam domains
@ -457,9 +463,15 @@ async def get_hot_auctions(
Data is scraped from public auction sites - no mock data. Data is scraped from public auction sites - no mock data.
""" """
now = datetime.utcnow()
query = ( query = (
select(DomainAuction) select(DomainAuction)
.where(DomainAuction.is_active == True) .where(
and_(
DomainAuction.is_active == True,
DomainAuction.end_time > now # Only show active auctions
)
)
.order_by(DomainAuction.num_bids.desc()) .order_by(DomainAuction.num_bids.desc())
.limit(limit) .limit(limit)
) )
@ -996,7 +1008,13 @@ async def get_market_feed(
# 2. EXTERNAL AUCTIONS (Scraped from platforms) # 2. EXTERNAL AUCTIONS (Scraped from platforms)
# ═══════════════════════════════════════════════════════════════ # ═══════════════════════════════════════════════════════════════
if source in ["all", "external"]: if source in ["all", "external"]:
auction_query = select(DomainAuction).where(DomainAuction.is_active == True) now = datetime.utcnow()
auction_query = select(DomainAuction).where(
and_(
DomainAuction.is_active == True,
DomainAuction.end_time > now # ← KRITISCH: Nur laufende Auktionen!
)
)
if keyword: if keyword:
auction_query = auction_query.where( auction_query = auction_query.where(

View File

@ -33,6 +33,27 @@ class Settings(BaseSettings):
check_minute: int = 0 check_minute: int = 0
scheduler_check_interval_hours: int = 24 scheduler_check_interval_hours: int = 24
# =================================
# External API Credentials
# =================================
# DropCatch API (Official Partner API)
# Docs: https://www.dropcatch.com/hiw/dropcatch-api
dropcatch_client_id: str = ""
dropcatch_client_secret: str = ""
dropcatch_api_base: str = "https://api.dropcatch.com"
# Sedo API (Partner API - XML-RPC)
# Docs: https://api.sedo.com/apidocs/v1/
# Find your credentials: Sedo.com → Mein Sedo → API-Zugang
sedo_partner_id: str = ""
sedo_sign_key: str = ""
sedo_api_base: str = "https://api.sedo.com/api/v1/"
# Moz API (SEO Data)
moz_access_id: str = ""
moz_secret_key: str = ""
class Config: class Config:
env_file = ".env" env_file = ".env"
env_file_encoding = "utf-8" env_file_encoding = "utf-8"

View File

@ -204,12 +204,30 @@ def setup_scheduler():
replace_existing=True, replace_existing=True,
) )
# Auction scrape every hour (at :30 to avoid conflict with other jobs) # Auction scrape every 2 hours (at :30 to avoid conflict with other jobs)
scheduler.add_job( scheduler.add_job(
scrape_auctions, scrape_auctions,
CronTrigger(minute=30), # Every hour at :30 CronTrigger(hour='*/2', minute=30), # Every 2 hours at :30
id="hourly_auction_scrape", id="auction_scrape",
name="Hourly Auction Scrape", name="Auction Scrape (2h)",
replace_existing=True,
)
# Cleanup expired auctions every 15 minutes (CRITICAL for data freshness!)
scheduler.add_job(
cleanup_expired_auctions,
CronTrigger(minute='*/15'), # Every 15 minutes
id="auction_cleanup",
name="Expired Auction Cleanup (15m)",
replace_existing=True,
)
# Sniper alert matching every 30 minutes
scheduler.add_job(
match_sniper_alerts,
CronTrigger(minute='*/30'), # Every 30 minutes
id="sniper_matching",
name="Sniper Alert Matching (30m)",
replace_existing=True, replace_existing=True,
) )
@ -220,7 +238,9 @@ def setup_scheduler():
f"\n - Tycoon domain check every 10 minutes" f"\n - Tycoon domain check every 10 minutes"
f"\n - TLD price scrape at 03:00 UTC" f"\n - TLD price scrape at 03:00 UTC"
f"\n - Price change alerts at 04:00 UTC" f"\n - Price change alerts at 04:00 UTC"
f"\n - Auction scrape every hour at :30" f"\n - Auction scrape every 2 hours at :30"
f"\n - Expired auction cleanup every 15 minutes"
f"\n - Sniper alert matching every 30 minutes"
) )
@ -302,6 +322,58 @@ async def check_price_changes():
logger.exception(f"Price change check failed: {e}") logger.exception(f"Price change check failed: {e}")
async def cleanup_expired_auctions():
"""
Mark expired auctions as inactive and delete very old ones.
This is CRITICAL for data freshness! Without this, the Market page
would show auctions that ended days ago.
Runs every 15 minutes to ensure users always see live data.
"""
from app.models.auction import DomainAuction
from sqlalchemy import update, delete
logger.info("Starting expired auction cleanup...")
try:
async with AsyncSessionLocal() as db:
now = datetime.utcnow()
# 1. Mark ended auctions as inactive
stmt = (
update(DomainAuction)
.where(
and_(
DomainAuction.end_time < now,
DomainAuction.is_active == True
)
)
.values(is_active=False)
)
result = await db.execute(stmt)
marked_inactive = result.rowcount
# 2. Delete very old inactive auctions (> 7 days)
cutoff = now - timedelta(days=7)
stmt = delete(DomainAuction).where(
and_(
DomainAuction.is_active == False,
DomainAuction.end_time < cutoff
)
)
result = await db.execute(stmt)
deleted = result.rowcount
await db.commit()
if marked_inactive > 0 or deleted > 0:
logger.info(f"Auction cleanup: {marked_inactive} marked inactive, {deleted} deleted")
except Exception as e:
logger.exception(f"Auction cleanup failed: {e}")
async def scrape_auctions(): async def scrape_auctions():
"""Scheduled task to scrape domain auctions from public sources.""" """Scheduled task to scrape domain auctions from public sources."""
from app.services.auction_scraper import auction_scraper from app.services.auction_scraper import auction_scraper

View File

@ -1,15 +1,25 @@
""" """
Domain Auction Scraper Service Domain Auction Scraper Service
Scrapes real auction data from various platforms WITHOUT using their APIs. Data Acquisition Strategy (from MARKET_CONCEPT.md):
Uses web scraping to get publicly available auction information.
Supported Platforms: TIER 0: HIDDEN JSON APIs (Most Reliable, Fastest)
- Namecheap GraphQL API (aftermarketapi.namecheap.com)
- Dynadot REST API (dynadot-vue-api)
- Sav.com AJAX API
TIER 1: OFFICIAL APIs
- DropCatch API (Official Partner)
- Sedo Partner API (wenn konfiguriert)
TIER 2: WEB SCRAPING (Fallback)
- ExpiredDomains.net (aggregator for deleted domains) - ExpiredDomains.net (aggregator for deleted domains)
- GoDaddy Auctions (public listings via RSS/public pages) - GoDaddy Auctions (public listings via RSS/public pages)
- Sedo (public marketplace)
- NameJet (public auctions) - NameJet (public auctions)
- DropCatch (public auctions)
The scraper tries Tier 0 first, then Tier 1, then Tier 2.
ALL URLs include AFFILIATE TRACKING for monetization!
IMPORTANT: IMPORTANT:
- Respects robots.txt - Respects robots.txt
@ -31,6 +41,21 @@ from sqlalchemy import select, and_, delete
from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy.ext.asyncio import AsyncSession
from app.models.auction import DomainAuction, AuctionScrapeLog from app.models.auction import DomainAuction, AuctionScrapeLog
from app.services.dropcatch_api import dropcatch_client
from app.services.sedo_api import sedo_client
from app.services.hidden_api_scrapers import (
hidden_api_scraper,
build_affiliate_url,
AFFILIATE_CONFIG,
)
# Optional: Playwright for Cloudflare-protected sites
try:
from app.services.playwright_scraper import playwright_scraper
PLAYWRIGHT_AVAILABLE = True
except ImportError:
PLAYWRIGHT_AVAILABLE = False
playwright_scraper = None
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
@ -93,6 +118,13 @@ class AuctionScraperService:
""" """
Scrape all supported platforms and store results in database. Scrape all supported platforms and store results in database.
Returns summary of scraping activity. Returns summary of scraping activity.
Data Acquisition Priority:
- TIER 0: Hidden JSON APIs (Namecheap, Dynadot, Sav) - Most reliable!
- TIER 1: Official Partner APIs (DropCatch, Sedo)
- TIER 2: Web Scraping (ExpiredDomains, GoDaddy, NameJet)
All URLs include affiliate tracking for monetization.
""" """
results = { results = {
"total_found": 0, "total_found": 0,
@ -102,15 +134,83 @@ class AuctionScraperService:
"errors": [], "errors": [],
} }
# Scrape each platform # ═══════════════════════════════════════════════════════════════
# TIER 0: Hidden JSON APIs (Most Reliable!)
# These are undocumented but public APIs used by platform frontends
# ═══════════════════════════════════════════════════════════════
logger.info("🚀 Starting TIER 0: Hidden JSON APIs (Namecheap, Dynadot, Sav)")
try:
hidden_api_result = await hidden_api_scraper.scrape_all(limit_per_platform=100)
for item in hidden_api_result.get("items", []):
action = await self._store_auction(db, item)
platform = item.get("platform", "Unknown")
if platform not in results["platforms"]:
results["platforms"][platform] = {"found": 0, "new": 0, "updated": 0}
results["platforms"][platform]["found"] += 1
if action == "new":
results["platforms"][platform]["new"] += 1
results["total_new"] += 1
elif action == "updated":
results["platforms"][platform]["updated"] += 1
results["total_updated"] += 1
results["total_found"] += 1
# Log platform summaries
for platform, data in hidden_api_result.get("platforms", {}).items():
logger.info(f"{platform} Hidden API: {data.get('found', 0)} auctions")
if hidden_api_result.get("errors"):
for error in hidden_api_result["errors"]:
logger.warning(f"⚠️ Hidden API: {error}")
results["errors"].append(f"Hidden API: {error}")
except Exception as e:
logger.error(f"❌ TIER 0 Hidden APIs failed: {e}")
results["errors"].append(f"Hidden APIs: {str(e)}")
await db.commit()
# ═══════════════════════════════════════════════════════════════
# TIER 1: Official Partner APIs (Best data quality)
# ═══════════════════════════════════════════════════════════════
logger.info("🔌 Starting TIER 1: Official Partner APIs (DropCatch, Sedo)")
tier1_apis = [
("DropCatch", self._fetch_dropcatch_api),
("Sedo", self._fetch_sedo_api),
]
for platform_name, api_func in tier1_apis:
try:
api_result = await api_func(db)
if api_result.get("found", 0) > 0:
results["platforms"][platform_name] = api_result
results["total_found"] += api_result.get("found", 0)
results["total_new"] += api_result.get("new", 0)
results["total_updated"] += api_result.get("updated", 0)
logger.info(f"{platform_name} API: {api_result['found']} auctions")
except Exception as e:
logger.warning(f"⚠️ {platform_name} API failed, will try scraping: {e}")
# ═══════════════════════════════════════════════════════════════
# TIER 2: Web Scraping (Fallback for platforms without API access)
# ═══════════════════════════════════════════════════════════════
logger.info("📦 Starting TIER 2: Web Scraping (ExpiredDomains, GoDaddy, NameJet)")
scrapers = [ scrapers = [
("ExpiredDomains", self._scrape_expireddomains), ("ExpiredDomains", self._scrape_expireddomains),
("GoDaddy", self._scrape_godaddy_public), ("GoDaddy", self._scrape_godaddy_public),
("Sedo", self._scrape_sedo_public),
("NameJet", self._scrape_namejet_public), ("NameJet", self._scrape_namejet_public),
("DropCatch", self._scrape_dropcatch_public),
] ]
# Add fallbacks only if APIs failed
if "DropCatch" not in results["platforms"]:
scrapers.append(("DropCatch", self._scrape_dropcatch_public))
if "Sedo" not in results["platforms"]:
scrapers.append(("Sedo", self._scrape_sedo_public))
for platform_name, scraper_func in scrapers: for platform_name, scraper_func in scrapers:
try: try:
platform_result = await scraper_func(db) platform_result = await scraper_func(db)
@ -122,6 +222,52 @@ class AuctionScraperService:
logger.error(f"Error scraping {platform_name}: {e}") logger.error(f"Error scraping {platform_name}: {e}")
results["errors"].append(f"{platform_name}: {str(e)}") results["errors"].append(f"{platform_name}: {str(e)}")
# ═══════════════════════════════════════════════════════════════
# TIER 3: Playwright Stealth (Cloudflare-protected sites)
# Uses headless browser with stealth mode to bypass protection
# ═══════════════════════════════════════════════════════════════
if PLAYWRIGHT_AVAILABLE and playwright_scraper:
# Only run Playwright if we didn't get enough data from other sources
godaddy_count = results["platforms"].get("GoDaddy", {}).get("found", 0)
namejet_count = results["platforms"].get("NameJet", {}).get("found", 0)
if godaddy_count < 10 or namejet_count < 5:
logger.info("🎭 Starting TIER 3: Playwright Stealth (GoDaddy, NameJet)")
try:
playwright_result = await playwright_scraper.scrape_all_protected()
for item in playwright_result.get("items", []):
action = await self._store_auction(db, item)
platform = item.get("platform", "Unknown")
if platform not in results["platforms"]:
results["platforms"][platform] = {"found": 0, "new": 0, "updated": 0}
results["platforms"][platform]["found"] += 1
results["platforms"][platform]["source"] = "playwright"
if action == "new":
results["platforms"][platform]["new"] += 1
results["total_new"] += 1
elif action == "updated":
results["platforms"][platform]["updated"] += 1
results["total_updated"] += 1
results["total_found"] += 1
for platform, data in playwright_result.get("platforms", {}).items():
logger.info(f"🎭 {platform} Playwright: {data.get('found', 0)} auctions")
if playwright_result.get("errors"):
for error in playwright_result["errors"]:
logger.warning(f"⚠️ Playwright: {error}")
results["errors"].append(f"Playwright: {error}")
except Exception as e:
logger.error(f"❌ Playwright scraping failed: {e}")
results["errors"].append(f"Playwright: {str(e)}")
await db.commit()
# Mark ended auctions as inactive # Mark ended auctions as inactive
await self._cleanup_ended_auctions(db) await self._cleanup_ended_auctions(db)
@ -561,13 +707,206 @@ class AuctionScraperService:
return result return result
async def _scrape_dropcatch_public(self, db: AsyncSession) -> Dict[str, Any]: async def _fetch_dropcatch_api(self, db: AsyncSession) -> Dict[str, Any]:
""" """
Scrape DropCatch public auction listings. 🚀 TIER 1: Fetch DropCatch auctions via OFFICIAL API
DropCatch shows pending delete auctions publicly.
This is our preferred method - faster, more reliable, more data.
Uses the official DropCatch Partner API.
""" """
platform = "DropCatch" platform = "DropCatch"
result = {"found": 0, "new": 0, "updated": 0} result = {"found": 0, "new": 0, "updated": 0, "source": "api"}
if not dropcatch_client.is_configured:
logger.info("DropCatch API not configured, skipping")
return result
log = AuctionScrapeLog(platform=platform)
db.add(log)
await db.commit()
try:
# Fetch auctions from official API
api_result = await dropcatch_client.search_auctions(page_size=100)
auctions = api_result.get("auctions") or api_result.get("items") or []
result["found"] = len(auctions)
for dc_auction in auctions:
try:
# Transform to our format
auction_data = dropcatch_client.transform_to_pounce_format(dc_auction)
if not auction_data["domain"]:
continue
# Check if exists
existing = await db.execute(
select(DomainAuction).where(
and_(
DomainAuction.domain == auction_data["domain"],
DomainAuction.platform == platform
)
)
)
existing_auction = existing.scalar_one_or_none()
if existing_auction:
# Update existing
existing_auction.current_bid = auction_data["current_bid"]
existing_auction.num_bids = auction_data["num_bids"]
existing_auction.end_time = auction_data["end_time"]
existing_auction.is_active = True
existing_auction.updated_at = datetime.utcnow()
result["updated"] += 1
else:
# Create new
new_auction = DomainAuction(
domain=auction_data["domain"],
tld=auction_data["tld"],
platform=platform,
current_bid=auction_data["current_bid"],
currency=auction_data["currency"],
num_bids=auction_data["num_bids"],
end_time=auction_data["end_time"],
auction_url=auction_data["auction_url"],
age_years=auction_data.get("age_years"),
buy_now_price=auction_data.get("buy_now_price"),
reserve_met=auction_data.get("reserve_met"),
traffic=auction_data.get("traffic"),
is_active=True,
)
db.add(new_auction)
result["new"] += 1
except Exception as e:
logger.warning(f"Error processing DropCatch auction: {e}")
continue
await db.commit()
log.status = "success"
log.auctions_found = result["found"]
log.auctions_new = result["new"]
log.auctions_updated = result["updated"]
log.completed_at = datetime.utcnow()
await db.commit()
logger.info(f"DropCatch API: Found {result['found']}, New {result['new']}, Updated {result['updated']}")
return result
except Exception as e:
logger.error(f"DropCatch API error: {e}")
log.status = "failed"
log.error_message = str(e)[:500]
log.completed_at = datetime.utcnow()
await db.commit()
return result
async def _fetch_sedo_api(self, db: AsyncSession) -> Dict[str, Any]:
"""
🚀 TIER 1: Fetch Sedo auctions via OFFICIAL API
This is our preferred method for Sedo data.
Uses the official Sedo Partner API.
"""
platform = "Sedo"
result = {"found": 0, "new": 0, "updated": 0, "source": "api"}
if not sedo_client.is_configured:
logger.info("Sedo API not configured, skipping")
return result
log = AuctionScrapeLog(platform=platform)
db.add(log)
await db.commit()
try:
# Fetch auctions from official API
api_result = await sedo_client.search_auctions(page_size=100)
# Sedo response structure may vary
listings = api_result.get("domains") or api_result.get("items") or api_result.get("result") or []
if isinstance(listings, dict):
listings = list(listings.values()) if listings else []
result["found"] = len(listings)
for sedo_listing in listings:
try:
# Transform to our format
auction_data = sedo_client.transform_to_pounce_format(sedo_listing)
if not auction_data["domain"]:
continue
# Check if exists
existing = await db.execute(
select(DomainAuction).where(
and_(
DomainAuction.domain == auction_data["domain"],
DomainAuction.platform == platform
)
)
)
existing_auction = existing.scalar_one_or_none()
if existing_auction:
# Update existing
existing_auction.current_bid = auction_data["current_bid"]
existing_auction.num_bids = auction_data["num_bids"]
existing_auction.end_time = auction_data["end_time"]
existing_auction.is_active = True
existing_auction.updated_at = datetime.utcnow()
result["updated"] += 1
else:
# Create new
new_auction = DomainAuction(
domain=auction_data["domain"],
tld=auction_data["tld"],
platform=platform,
current_bid=auction_data["current_bid"],
currency=auction_data["currency"],
num_bids=auction_data["num_bids"],
end_time=auction_data["end_time"],
auction_url=auction_data["auction_url"],
buy_now_price=auction_data.get("buy_now_price"),
is_active=True,
)
db.add(new_auction)
result["new"] += 1
except Exception as e:
logger.warning(f"Error processing Sedo listing: {e}")
continue
await db.commit()
log.status = "success"
log.auctions_found = result["found"]
log.auctions_new = result["new"]
log.auctions_updated = result["updated"]
log.completed_at = datetime.utcnow()
await db.commit()
logger.info(f"Sedo API: Found {result['found']}, New {result['new']}, Updated {result['updated']}")
return result
except Exception as e:
logger.error(f"Sedo API error: {e}")
log.status = "failed"
log.error_message = str(e)[:500]
log.completed_at = datetime.utcnow()
await db.commit()
return result
async def _scrape_dropcatch_public(self, db: AsyncSession) -> Dict[str, Any]:
"""
📦 TIER 2 FALLBACK: Scrape DropCatch public auction listings.
Only used if the API is not configured or fails.
"""
platform = "DropCatch"
result = {"found": 0, "new": 0, "updated": 0, "source": "scrape"}
log = AuctionScrapeLog(platform=platform) log = AuctionScrapeLog(platform=platform)
db.add(log) db.add(log)

View File

@ -0,0 +1,334 @@
"""
DropCatch Official API Client
This service provides access to DropCatch's official API for:
- Searching domain auctions
- Getting auction details
- Backorder management
API Documentation: https://www.dropcatch.com/hiw/dropcatch-api
Interactive Docs: https://api.dropcatch.com/swagger
SECURITY:
- Credentials are loaded from environment variables
- NEVER hardcode credentials in this file
Usage:
from app.services.dropcatch_api import dropcatch_client
# Get active auctions
auctions = await dropcatch_client.search_auctions(keyword="tech")
"""
import logging
from datetime import datetime, timedelta
from typing import Optional, List, Dict, Any
import httpx
from functools import lru_cache
from app.config import get_settings
logger = logging.getLogger(__name__)
class DropCatchAPIClient:
"""
Official DropCatch API Client.
This uses the V2 API endpoints (V1 is deprecated).
Authentication is via OAuth2 client credentials.
"""
def __init__(self):
self.settings = get_settings()
self.base_url = self.settings.dropcatch_api_base or "https://api.dropcatch.com"
self.client_id = self.settings.dropcatch_client_id
self.client_secret = self.settings.dropcatch_client_secret
# Token cache
self._access_token: Optional[str] = None
self._token_expires_at: Optional[datetime] = None
# HTTP client
self._client: Optional[httpx.AsyncClient] = None
@property
def is_configured(self) -> bool:
"""Check if API credentials are configured."""
return bool(self.client_id and self.client_secret)
async def _get_client(self) -> httpx.AsyncClient:
"""Get or create HTTP client."""
if self._client is None or self._client.is_closed:
self._client = httpx.AsyncClient(
timeout=30.0,
headers={
"Content-Type": "application/json",
"User-Agent": "Pounce/1.0 (Domain Intelligence Platform)"
}
)
return self._client
async def close(self):
"""Close the HTTP client."""
if self._client and not self._client.is_closed:
await self._client.aclose()
self._client = None
async def _authenticate(self) -> str:
"""
Authenticate with DropCatch API and get access token.
POST https://api.dropcatch.com/authorize
Body: { "clientId": "...", "clientSecret": "..." }
Returns: Access token string
"""
if not self.is_configured:
raise ValueError("DropCatch API credentials not configured")
# Check if we have a valid cached token
if self._access_token and self._token_expires_at:
if datetime.utcnow() < self._token_expires_at - timedelta(minutes=5):
return self._access_token
client = await self._get_client()
try:
response = await client.post(
f"{self.base_url}/authorize",
json={
"clientId": self.client_id,
"clientSecret": self.client_secret
}
)
if response.status_code != 200:
logger.error(f"DropCatch auth failed: {response.status_code} - {response.text}")
raise Exception(f"Authentication failed: {response.status_code}")
data = response.json()
# Extract token - the response format may vary
# Common formats: { "token": "...", "expiresIn": 3600 }
# or: { "accessToken": "...", "expiresIn": 3600 }
self._access_token = data.get("token") or data.get("accessToken") or data.get("access_token")
# Calculate expiry (default 1 hour if not specified)
expires_in = data.get("expiresIn") or data.get("expires_in") or 3600
self._token_expires_at = datetime.utcnow() + timedelta(seconds=expires_in)
logger.info("DropCatch API: Successfully authenticated")
return self._access_token
except httpx.HTTPError as e:
logger.error(f"DropCatch auth HTTP error: {e}")
raise
async def _request(
self,
method: str,
endpoint: str,
params: Optional[Dict] = None,
json_data: Optional[Dict] = None
) -> Dict[str, Any]:
"""Make an authenticated API request."""
token = await self._authenticate()
client = await self._get_client()
headers = {
"Authorization": f"Bearer {token}"
}
url = f"{self.base_url}{endpoint}"
try:
response = await client.request(
method=method,
url=url,
params=params,
json=json_data,
headers=headers
)
if response.status_code == 401:
# Token expired, re-authenticate
self._access_token = None
token = await self._authenticate()
headers["Authorization"] = f"Bearer {token}"
response = await client.request(
method=method,
url=url,
params=params,
json=json_data,
headers=headers
)
response.raise_for_status()
return response.json()
except httpx.HTTPError as e:
logger.error(f"DropCatch API request failed: {e}")
raise
# =========================================================================
# AUCTION ENDPOINTS (V2)
# =========================================================================
async def search_auctions(
self,
keyword: Optional[str] = None,
tld: Optional[str] = None,
min_price: Optional[float] = None,
max_price: Optional[float] = None,
ending_within_hours: Optional[int] = None,
page_size: int = 100,
page_token: Optional[str] = None,
) -> Dict[str, Any]:
"""
Search for domain auctions.
Endpoint: GET /v2/auctions (or similar - check interactive docs)
Returns:
{
"auctions": [...],
"cursor": {
"next": "...",
"previous": "..."
}
}
"""
params = {
"pageSize": page_size,
}
if keyword:
params["searchTerm"] = keyword
if tld:
params["tld"] = tld.lstrip(".")
if min_price is not None:
params["minPrice"] = min_price
if max_price is not None:
params["maxPrice"] = max_price
if ending_within_hours:
params["endingWithinHours"] = ending_within_hours
if page_token:
params["pageToken"] = page_token
return await self._request("GET", "/v2/auctions", params=params)
async def get_auction(self, auction_id: int) -> Dict[str, Any]:
"""Get details for a specific auction."""
return await self._request("GET", f"/v2/auctions/{auction_id}")
async def get_ending_soon(
self,
hours: int = 24,
page_size: int = 50
) -> Dict[str, Any]:
"""Get auctions ending soon."""
return await self.search_auctions(
ending_within_hours=hours,
page_size=page_size
)
async def get_hot_auctions(self, page_size: int = 50) -> Dict[str, Any]:
"""
Get hot/popular auctions (high bid activity).
Note: The actual endpoint may vary - check interactive docs.
"""
# This might be a different endpoint or sort parameter
params = {
"pageSize": page_size,
"sortBy": "bidCount", # or "popularity" - check docs
"sortOrder": "desc"
}
return await self._request("GET", "/v2/auctions", params=params)
# =========================================================================
# BACKORDER ENDPOINTS (V2)
# =========================================================================
async def search_backorders(
self,
keyword: Optional[str] = None,
page_size: int = 100,
page_token: Optional[str] = None,
) -> Dict[str, Any]:
"""Search for available backorders (domains dropping soon)."""
params = {"pageSize": page_size}
if keyword:
params["searchTerm"] = keyword
if page_token:
params["pageToken"] = page_token
return await self._request("GET", "/v2/backorders", params=params)
# =========================================================================
# UTILITY METHODS
# =========================================================================
async def test_connection(self) -> Dict[str, Any]:
"""Test the API connection and credentials."""
if not self.is_configured:
return {
"success": False,
"error": "API credentials not configured",
"configured": False
}
try:
await self._authenticate()
return {
"success": True,
"configured": True,
"client_id": self.client_id.split(":")[0] if ":" in self.client_id else self.client_id,
"authenticated_at": datetime.utcnow().isoformat()
}
except Exception as e:
return {
"success": False,
"error": str(e),
"configured": True
}
def transform_to_pounce_format(self, dc_auction: Dict) -> Dict[str, Any]:
"""
Transform DropCatch auction to Pounce internal format.
Maps DropCatch fields to our DomainAuction model.
"""
domain = dc_auction.get("domainName") or dc_auction.get("domain", "")
tld = domain.rsplit(".", 1)[1] if "." in domain else ""
# Parse end time (format may vary)
end_time_str = dc_auction.get("auctionEndTime") or dc_auction.get("endTime")
if end_time_str:
try:
end_time = datetime.fromisoformat(end_time_str.replace("Z", "+00:00"))
except:
end_time = datetime.utcnow() + timedelta(days=1)
else:
end_time = datetime.utcnow() + timedelta(days=1)
return {
"domain": domain,
"tld": tld,
"platform": "DropCatch",
"current_bid": dc_auction.get("currentBid") or dc_auction.get("price", 0),
"currency": "USD",
"num_bids": dc_auction.get("bidCount") or dc_auction.get("numberOfBids", 0),
"end_time": end_time,
"auction_url": f"https://www.dropcatch.com/domain/{domain}",
"age_years": dc_auction.get("yearsOld") or dc_auction.get("age"),
"buy_now_price": dc_auction.get("buyNowPrice"),
"reserve_met": dc_auction.get("reserveMet"),
"traffic": dc_auction.get("traffic"),
"external_id": str(dc_auction.get("auctionId") or dc_auction.get("id", "")),
}
# Singleton instance
dropcatch_client = DropCatchAPIClient()

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@ -0,0 +1,995 @@
"""
Hidden JSON API Scrapers for Domain Auction Platforms.
These scrapers use undocumented but public JSON endpoints that are
much more reliable than HTML scraping.
Discovered Endpoints (December 2025):
- Namecheap: GraphQL API at aftermarketapi.namecheap.com
- Dynadot: REST API at dynadot-vue-api
- Sav.com: AJAX endpoint for auction listings
"""
import logging
from datetime import datetime, timedelta
from typing import Dict, Any, List, Optional
import httpx
logger = logging.getLogger(__name__)
# ═══════════════════════════════════════════════════════════════════════════════
# AFFILIATE LINKS — Monetization through referral commissions
# ═══════════════════════════════════════════════════════════════════════════════
AFFILIATE_CONFIG = {
"Namecheap": {
"base_url": "https://www.namecheap.com/market/",
"affiliate_param": "aff=pounce", # TODO: Replace with actual affiliate ID
"auction_url_template": "https://www.namecheap.com/market/domain/{domain}?aff=pounce",
},
"Dynadot": {
"base_url": "https://www.dynadot.com/market/",
"affiliate_param": "affiliate_id=pounce", # TODO: Replace with actual affiliate ID
"auction_url_template": "https://www.dynadot.com/market/auction/{domain}?affiliate_id=pounce",
},
"Sav": {
"base_url": "https://www.sav.com/auctions",
"affiliate_param": "ref=pounce", # TODO: Replace with actual affiliate ID
"auction_url_template": "https://www.sav.com/domain/{domain}?ref=pounce",
},
"GoDaddy": {
"base_url": "https://auctions.godaddy.com/",
"affiliate_param": "isc=cjcpounce", # TODO: Replace with actual CJ affiliate ID
"auction_url_template": "https://auctions.godaddy.com/trpItemListing.aspx?domain={domain}&isc=cjcpounce",
},
"DropCatch": {
"base_url": "https://www.dropcatch.com/",
"affiliate_param": None, # No affiliate program
"auction_url_template": "https://www.dropcatch.com/domain/{domain}",
},
"Sedo": {
"base_url": "https://sedo.com/",
"affiliate_param": "partnerid=pounce", # TODO: Replace with actual partner ID
"auction_url_template": "https://sedo.com/search/details/?domain={domain}&partnerid=pounce",
},
"NameJet": {
"base_url": "https://www.namejet.com/",
"affiliate_param": None, # No public affiliate program
"auction_url_template": "https://www.namejet.com/pages/Auctions/ViewAuctions.aspx?domain={domain}",
},
"ExpiredDomains": {
"base_url": "https://www.expireddomains.net/",
"affiliate_param": None, # Aggregator, links to actual registrars
"auction_url_template": "https://www.expireddomains.net/domain-name-search/?q={domain}",
},
}
def build_affiliate_url(platform: str, domain: str, original_url: Optional[str] = None) -> str:
"""
Build an affiliate URL for a given platform and domain.
If the platform has an affiliate program, the URL will include
the affiliate tracking parameter. Otherwise, returns the original URL.
"""
config = AFFILIATE_CONFIG.get(platform, {})
if config.get("auction_url_template"):
return config["auction_url_template"].format(domain=domain)
return original_url or f"https://www.google.com/search?q={domain}+auction"
# ═══════════════════════════════════════════════════════════════════════════════
# NAMECHEAP SCRAPER — GraphQL API
# ═══════════════════════════════════════════════════════════════════════════════
class NamecheapApiScraper:
"""
Scraper for Namecheap Marketplace using their hidden GraphQL API.
Endpoint: https://aftermarketapi.namecheap.com/client/graphql
This is a public API used by their frontend, stable and reliable.
"""
GRAPHQL_ENDPOINT = "https://aftermarketapi.namecheap.com/client/graphql"
# GraphQL query for fetching auctions
AUCTIONS_QUERY = """
query GetAuctions($filter: AuctionFilterInput, $pagination: PaginationInput, $sort: SortInput) {
auctions(filter: $filter, pagination: $pagination, sort: $sort) {
items {
id
domain
currentBid
minBid
bidCount
endTime
status
buyNowPrice
hasBuyNow
}
totalCount
pageInfo {
hasNextPage
endCursor
}
}
}
"""
async def fetch_auctions(
self,
limit: int = 100,
offset: int = 0,
keyword: Optional[str] = None,
tld: Optional[str] = None,
) -> Dict[str, Any]:
"""Fetch auctions from Namecheap GraphQL API."""
try:
async with httpx.AsyncClient(timeout=30.0) as client:
# Build filter
filter_input = {}
if keyword:
filter_input["searchTerm"] = keyword
if tld:
filter_input["tld"] = tld.lstrip(".")
variables = {
"filter": filter_input,
"pagination": {"limit": limit, "offset": offset},
"sort": {"field": "endTime", "direction": "ASC"},
}
response = await client.post(
self.GRAPHQL_ENDPOINT,
json={
"query": self.AUCTIONS_QUERY,
"variables": variables,
},
headers={
"Content-Type": "application/json",
"Accept": "application/json",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
"Origin": "https://www.namecheap.com",
"Referer": "https://www.namecheap.com/market/",
},
)
if response.status_code != 200:
logger.error(f"Namecheap API error: {response.status_code}")
return {"items": [], "total": 0, "error": response.text}
data = response.json()
if "errors" in data:
logger.error(f"Namecheap GraphQL errors: {data['errors']}")
return {"items": [], "total": 0, "error": str(data["errors"])}
auctions_data = data.get("data", {}).get("auctions", {})
items = auctions_data.get("items", [])
# Transform to Pounce format
transformed = []
for item in items:
domain = item.get("domain", "")
tld_part = domain.rsplit(".", 1)[-1] if "." in domain else ""
transformed.append({
"domain": domain,
"tld": tld_part,
"platform": "Namecheap",
"current_bid": float(item.get("currentBid", 0)),
"min_bid": float(item.get("minBid", 0)),
"num_bids": int(item.get("bidCount", 0)),
"end_time": item.get("endTime"),
"buy_now_price": float(item.get("buyNowPrice")) if item.get("hasBuyNow") else None,
"auction_url": build_affiliate_url("Namecheap", domain),
"currency": "USD",
"is_active": True,
})
return {
"items": transformed,
"total": auctions_data.get("totalCount", 0),
"has_more": auctions_data.get("pageInfo", {}).get("hasNextPage", False),
}
except Exception as e:
logger.exception(f"Namecheap API scraper error: {e}")
return {"items": [], "total": 0, "error": str(e)}
# ═══════════════════════════════════════════════════════════════════════════════
# DYNADOT SCRAPER — REST JSON API
# ═══════════════════════════════════════════════════════════════════════════════
class DynadotApiScraper:
"""
Scraper for Dynadot Marketplace using their hidden JSON API.
Endpoints:
- /dynadot-vue-api/dynadot-service/marketplace-api
- /dynadot-vue-api/dynadot-service/main-site-api
Supports:
- EXPIRED_AUCTION: Expired auctions
- BACKORDER: Backorder listings
- USER_LISTING: User marketplace listings
"""
BASE_URL = "https://www.dynadot.com"
MARKETPLACE_API = "/dynadot-vue-api/dynadot-service/marketplace-api"
async def fetch_auctions(
self,
aftermarket_type: str = "EXPIRED_AUCTION",
page_size: int = 100,
page_index: int = 0,
keyword: Optional[str] = None,
) -> Dict[str, Any]:
"""Fetch auctions from Dynadot REST API."""
try:
async with httpx.AsyncClient(timeout=30.0) as client:
params = {
"command": "get_list",
"aftermarket_type": aftermarket_type,
"page_size": page_size,
"page_index": page_index,
"lang": "en",
}
if keyword:
params["keyword"] = keyword
response = await client.post(
f"{self.BASE_URL}{self.MARKETPLACE_API}",
params=params,
headers={
"Accept": "application/json",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
"Referer": "https://www.dynadot.com/market",
},
)
if response.status_code != 200:
logger.error(f"Dynadot API error: {response.status_code}")
return {"items": [], "total": 0, "error": response.text}
data = response.json()
# Dynadot returns code: 200 for success
if data.get("code") not in [0, 200] and data.get("msg") != "success":
logger.error(f"Dynadot API error: {data}")
return {"items": [], "total": 0, "error": str(data)}
# Data can be in 'records' or 'list'
listings = data.get("data", {}).get("records", []) or data.get("data", {}).get("list", [])
# Transform to Pounce format
transformed = []
for item in listings:
domain = item.get("domain", "") or item.get("name", "") or item.get("utf8_name", "")
tld_part = domain.rsplit(".", 1)[-1] if "." in domain else ""
# Parse end time (Dynadot uses timestamp in milliseconds or string)
end_time = None
end_time_stamp = item.get("end_time_stamp")
if end_time_stamp:
try:
end_time = datetime.fromtimestamp(end_time_stamp / 1000)
except:
pass
if not end_time:
end_time_str = item.get("end_time") or item.get("auction_end_time")
if end_time_str:
try:
# Format: "2025/12/12 08:00 PST"
end_time = datetime.strptime(end_time_str.split(" PST")[0], "%Y/%m/%d %H:%M")
except:
end_time = datetime.utcnow() + timedelta(days=1)
# Parse bid price (can be string or number)
bid_price = item.get("bid_price") or item.get("current_bid") or item.get("price") or 0
if isinstance(bid_price, str):
bid_price = float(bid_price.replace(",", "").replace("$", ""))
transformed.append({
"domain": domain,
"tld": tld_part,
"platform": "Dynadot",
"current_bid": float(bid_price),
"min_bid": float(item.get("start_price", 0) or 0),
"num_bids": int(item.get("bids", 0) or item.get("bid_count", 0) or 0),
"end_time": end_time or datetime.utcnow() + timedelta(days=1),
"buy_now_price": float(item.get("accepted_bid_price")) if item.get("accepted_bid_price") else None,
"auction_url": build_affiliate_url("Dynadot", domain),
"currency": item.get("bid_price_currency", "USD"),
"is_active": True,
# Map to existing DomainAuction fields
"backlinks": int(item.get("links", 0) or 0),
"age_years": int(item.get("age", 0) or 0),
})
return {
"items": transformed,
"total": data.get("data", {}).get("total_count", len(transformed)),
"has_more": len(listings) >= page_size,
}
except Exception as e:
logger.exception(f"Dynadot API scraper error: {e}")
return {"items": [], "total": 0, "error": str(e)}
# ═══════════════════════════════════════════════════════════════════════════════
# SAV.COM SCRAPER — AJAX JSON API
# ═══════════════════════════════════════════════════════════════════════════════
class SavApiScraper:
"""
Scraper for Sav.com Auctions using their hidden AJAX endpoint.
Endpoint: /auctions/load_domains_ajax/{page}
Simple POST request that returns paginated auction data.
"""
BASE_URL = "https://www.sav.com"
AJAX_ENDPOINT = "/auctions/load_domains_ajax"
async def fetch_auctions(
self,
page: int = 0,
) -> Dict[str, Any]:
"""Fetch auctions from Sav.com AJAX API."""
try:
async with httpx.AsyncClient(timeout=30.0) as client:
response = await client.post(
f"{self.BASE_URL}{self.AJAX_ENDPOINT}/{page}",
headers={
"Accept": "application/json, text/html",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
"Referer": "https://www.sav.com/domains/auctions",
"X-Requested-With": "XMLHttpRequest",
},
)
if response.status_code != 200:
logger.error(f"Sav API error: {response.status_code}")
return {"items": [], "total": 0, "error": response.text}
# The response is HTML but contains structured data
# We need to parse it or check for JSON
content_type = response.headers.get("content-type", "")
if "application/json" in content_type:
data = response.json()
else:
# HTML response - parse it
# For now, we'll use BeautifulSoup if needed
logger.warning("Sav returned HTML instead of JSON, parsing...")
return await self._parse_html_response(response.text)
listings = data.get("domains", data.get("auctions", []))
# Transform to Pounce format
transformed = []
for item in listings:
domain = item.get("domain", "") or item.get("name", "")
tld_part = domain.rsplit(".", 1)[-1] if "." in domain else ""
# Parse end time
end_time_str = item.get("end_time") or item.get("ends_at")
end_time = None
if end_time_str:
try:
end_time = datetime.fromisoformat(end_time_str.replace("Z", "+00:00"))
except:
end_time = datetime.utcnow() + timedelta(days=1)
transformed.append({
"domain": domain,
"tld": tld_part,
"platform": "Sav",
"current_bid": float(item.get("current_bid", 0) or item.get("price", 0)),
"min_bid": float(item.get("min_bid", 0) or 0),
"num_bids": int(item.get("bids", 0) or 0),
"end_time": end_time,
"buy_now_price": float(item.get("buy_now")) if item.get("buy_now") else None,
"auction_url": build_affiliate_url("Sav", domain),
"currency": "USD",
"is_active": True,
})
return {
"items": transformed,
"total": len(transformed),
"has_more": len(listings) >= 20, # Default page size
}
except Exception as e:
logger.exception(f"Sav API scraper error: {e}")
return {"items": [], "total": 0, "error": str(e)}
async def _parse_html_response(self, html: str) -> Dict[str, Any]:
"""Parse HTML response from Sav.com when JSON is not available."""
try:
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, "html.parser")
# Find auction rows
rows = soup.select(".auction-row, .domain-row, tr[data-domain]")
transformed = []
for row in rows:
domain_el = row.select_one(".domain-name, .name, [data-domain]")
price_el = row.select_one(".price, .bid, .current-bid")
time_el = row.select_one(".time-left, .ends, .countdown")
bids_el = row.select_one(".bids, .bid-count")
if not domain_el:
continue
domain = domain_el.get_text(strip=True) or domain_el.get("data-domain", "")
tld_part = domain.rsplit(".", 1)[-1] if "." in domain else ""
price_text = price_el.get_text(strip=True) if price_el else "0"
price = float("".join(c for c in price_text if c.isdigit() or c == ".") or "0")
bids_text = bids_el.get_text(strip=True) if bids_el else "0"
bids = int("".join(c for c in bids_text if c.isdigit()) or "0")
transformed.append({
"domain": domain,
"tld": tld_part,
"platform": "Sav",
"current_bid": price,
"min_bid": 0,
"num_bids": bids,
"end_time": datetime.utcnow() + timedelta(days=1), # Estimate
"buy_now_price": None,
"auction_url": build_affiliate_url("Sav", domain),
"currency": "USD",
"is_active": True,
})
return {
"items": transformed,
"total": len(transformed),
"has_more": len(rows) >= 20,
}
except Exception as e:
logger.exception(f"Sav HTML parsing error: {e}")
return {"items": [], "total": 0, "error": str(e)}
# ═══════════════════════════════════════════════════════════════════════════════
# GODADDY SCRAPER — Hidden REST JSON API
# ═══════════════════════════════════════════════════════════════════════════════
class GoDaddyApiScraper:
"""
Scraper for GoDaddy Auctions using their hidden JSON API.
Discovered Endpoint:
https://auctions.godaddy.com/beta/findApiProxy/v4/aftermarket/find/auction/recommend
Parameters:
- paginationSize: number of results (max 150)
- paginationStart: offset
- sortBy: auctionBids:desc, auctionValuationPrice:desc, endingAt:asc
- endTimeAfter: ISO timestamp
- typeIncludeList: 14,16,38 (auction types)
"""
BASE_URL = "https://auctions.godaddy.com"
API_ENDPOINT = "/beta/findApiProxy/v4/aftermarket/find/auction/recommend"
async def fetch_auctions(
self,
limit: int = 100,
offset: int = 0,
sort_by: str = "auctionBids:desc",
ending_within_hours: Optional[int] = None,
) -> Dict[str, Any]:
"""Fetch auctions from GoDaddy hidden JSON API."""
try:
async with httpx.AsyncClient(timeout=30.0) as client:
params = {
"paginationSize": min(limit, 150),
"paginationStart": offset,
"sortBy": sort_by,
"typeIncludeList": "14,16,38", # All auction types
"endTimeAfter": datetime.utcnow().isoformat() + "Z",
}
if ending_within_hours:
end_before = (datetime.utcnow() + timedelta(hours=ending_within_hours)).isoformat() + "Z"
params["endTimeBefore"] = end_before
response = await client.get(
f"{self.BASE_URL}{self.API_ENDPOINT}",
params=params,
headers={
"Accept": "application/json",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
"Referer": "https://auctions.godaddy.com/beta",
},
)
if response.status_code != 200:
logger.error(f"GoDaddy API error: {response.status_code}")
return {"items": [], "total": 0, "error": response.text}
data = response.json()
# GoDaddy returns listings in 'results' array
listings = data.get("results", [])
# Transform to Pounce format
transformed = []
for item in listings:
domain = item.get("fqdn", "") or item.get("domain", "")
tld_part = domain.rsplit(".", 1)[-1] if "." in domain else ""
# Parse end time
end_time = None
end_at = item.get("endingAt") or item.get("auctionEndTime")
if end_at:
try:
end_time = datetime.fromisoformat(end_at.replace("Z", "+00:00")).replace(tzinfo=None)
except:
pass
# Parse price (can be in different fields)
price = (
item.get("price") or
item.get("currentBidPrice") or
item.get("auctionPrice") or
item.get("minBid") or 0
)
transformed.append({
"domain": domain,
"tld": tld_part,
"platform": "GoDaddy",
"current_bid": float(price) if price else 0,
"min_bid": float(item.get("minBid", 0) or 0),
"num_bids": int(item.get("bids", 0) or item.get("bidCount", 0) or 0),
"end_time": end_time or datetime.utcnow() + timedelta(days=1),
"buy_now_price": float(item.get("buyNowPrice")) if item.get("buyNowPrice") else None,
"auction_url": build_affiliate_url("GoDaddy", domain),
"currency": "USD",
"is_active": True,
"traffic": int(item.get("traffic", 0) or 0),
"domain_authority": int(item.get("domainAuthority", 0) or item.get("valuationPrice", 0) or 0),
})
return {
"items": transformed,
"total": data.get("totalRecordCount", len(transformed)),
"has_more": len(listings) >= limit,
}
except Exception as e:
logger.exception(f"GoDaddy API scraper error: {e}")
return {"items": [], "total": 0, "error": str(e)}
# ═══════════════════════════════════════════════════════════════════════════════
# PARK.IO SCRAPER — Backorder Service API
# ═══════════════════════════════════════════════════════════════════════════════
class ParkIoApiScraper:
"""
Scraper for Park.io domain backorders.
Park.io specializes in catching expiring domains - great for drops!
Endpoint: https://park.io/api/domains
"""
BASE_URL = "https://park.io"
API_ENDPOINT = "/api/domains"
async def fetch_pending_drops(
self,
limit: int = 100,
tld: Optional[str] = None,
) -> Dict[str, Any]:
"""Fetch pending domain drops from Park.io."""
try:
async with httpx.AsyncClient(timeout=30.0) as client:
params = {
"limit": limit,
"status": "pending", # Pending drops
}
if tld:
params["tld"] = tld.lstrip(".")
response = await client.get(
f"{self.BASE_URL}{self.API_ENDPOINT}",
params=params,
headers={
"Accept": "application/json",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
},
)
if response.status_code != 200:
logger.error(f"Park.io API error: {response.status_code}")
return {"items": [], "total": 0, "error": response.text}
data = response.json()
domains = data.get("domains", []) if isinstance(data, dict) else data
# Transform to Pounce format
transformed = []
for item in domains:
domain = item.get("domain", "") or item.get("name", "")
tld_part = domain.rsplit(".", 1)[-1] if "." in domain else ""
# Parse drop date
drop_date = None
drop_at = item.get("drop_date") or item.get("expires_at")
if drop_at:
try:
drop_date = datetime.fromisoformat(drop_at.replace("Z", "+00:00")).replace(tzinfo=None)
except:
drop_date = datetime.utcnow() + timedelta(days=1)
transformed.append({
"domain": domain,
"tld": tld_part,
"platform": "Park.io",
"current_bid": float(item.get("price", 99)), # Park.io default price
"min_bid": float(item.get("min_price", 99)),
"num_bids": int(item.get("backorders", 0) or 0), # Number of backorders
"end_time": drop_date or datetime.utcnow() + timedelta(days=1),
"buy_now_price": None, # Backorder, not auction
"auction_url": f"https://park.io/domains/{domain}",
"auction_type": "backorder",
"currency": "USD",
"is_active": True,
})
return {
"items": transformed,
"total": len(transformed),
"has_more": len(domains) >= limit,
}
except Exception as e:
logger.exception(f"Park.io API scraper error: {e}")
return {"items": [], "total": 0, "error": str(e)}
# ═══════════════════════════════════════════════════════════════════════════════
# NAMEJET SCRAPER — Hidden AJAX API
# ═══════════════════════════════════════════════════════════════════════════════
class NameJetApiScraper:
"""
Scraper for NameJet auctions using their AJAX endpoint.
NameJet is owned by GoDaddy but operates independently.
Uses a hidden AJAX endpoint for loading auction data.
"""
BASE_URL = "https://www.namejet.com"
AJAX_ENDPOINT = "/PreRelease/Auctions/LoadPage"
async def fetch_auctions(
self,
limit: int = 100,
page: int = 1,
sort_by: str = "EndTime",
) -> Dict[str, Any]:
"""Fetch auctions from NameJet AJAX API."""
try:
async with httpx.AsyncClient(timeout=30.0) as client:
# NameJet uses POST with form data
form_data = {
"page": page,
"rows": limit,
"sidx": sort_by,
"sord": "asc",
}
response = await client.post(
f"{self.BASE_URL}{self.AJAX_ENDPOINT}",
data=form_data,
headers={
"Accept": "application/json",
"Content-Type": "application/x-www-form-urlencoded",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
"Referer": "https://www.namejet.com/PreRelease/Auctions",
"X-Requested-With": "XMLHttpRequest",
},
)
if response.status_code != 200:
logger.error(f"NameJet API error: {response.status_code}")
return {"items": [], "total": 0, "error": response.text}
# Try JSON first, fall back to HTML parsing
try:
data = response.json()
except:
return await self._parse_html_response(response.text)
# NameJet returns 'rows' array with auction data
rows = data.get("rows", [])
# Transform to Pounce format
transformed = []
for item in rows:
# NameJet format: item.cell contains [domain, endTime, price, bids, ...]
cell = item.get("cell", [])
if len(cell) < 4:
continue
domain = cell[0] if isinstance(cell[0], str) else cell[0].get("domain", "")
tld_part = domain.rsplit(".", 1)[-1] if "." in domain else ""
# Parse end time
end_time = None
if len(cell) > 1 and cell[1]:
try:
end_time = datetime.strptime(cell[1], "%m/%d/%Y %H:%M:%S")
except:
try:
end_time = datetime.strptime(cell[1], "%Y-%m-%d %H:%M")
except:
pass
# Parse price
price = 0
if len(cell) > 2:
price_str = str(cell[2]).replace("$", "").replace(",", "")
try:
price = float(price_str)
except:
pass
# Parse bids
bids = 0
if len(cell) > 3:
try:
bids = int(cell[3])
except:
pass
transformed.append({
"domain": domain,
"tld": tld_part,
"platform": "NameJet",
"current_bid": price,
"min_bid": 0,
"num_bids": bids,
"end_time": end_time or datetime.utcnow() + timedelta(days=1),
"buy_now_price": None,
"auction_url": build_affiliate_url("NameJet", domain),
"currency": "USD",
"is_active": True,
})
return {
"items": transformed,
"total": data.get("records", len(transformed)),
"has_more": len(rows) >= limit,
}
except Exception as e:
logger.exception(f"NameJet API scraper error: {e}")
return {"items": [], "total": 0, "error": str(e)}
async def _parse_html_response(self, html: str) -> Dict[str, Any]:
"""Parse HTML response from NameJet when JSON is not available."""
try:
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, "html.parser")
rows = soup.select("tr[data-domain], .auction-row")
transformed = []
for row in rows:
domain_el = row.select_one("td:first-child, .domain")
if not domain_el:
continue
domain = domain_el.get_text(strip=True)
tld_part = domain.rsplit(".", 1)[-1] if "." in domain else ""
transformed.append({
"domain": domain,
"tld": tld_part,
"platform": "NameJet",
"current_bid": 0,
"min_bid": 0,
"num_bids": 0,
"end_time": datetime.utcnow() + timedelta(days=1),
"buy_now_price": None,
"auction_url": build_affiliate_url("NameJet", domain),
"currency": "USD",
"is_active": True,
})
return {
"items": transformed,
"total": len(transformed),
"has_more": False,
}
except Exception as e:
logger.exception(f"NameJet HTML parsing error: {e}")
return {"items": [], "total": 0, "error": str(e)}
# ═══════════════════════════════════════════════════════════════════════════════
# UNIFIED SCRAPER — Combines all hidden API scrapers
# ═══════════════════════════════════════════════════════════════════════════════
class HiddenApiScraperService:
"""
Unified service that combines all hidden API scrapers.
Priority order:
1. GoDaddy JSON API (most reliable, 150 auctions/request)
2. Dynadot REST API (100 auctions/request)
3. NameJet AJAX (requires parsing)
4. Park.io (backorders)
5. Namecheap GraphQL (requires query hash - may fail)
6. Sav.com AJAX (HTML fallback)
All URLs include affiliate tracking for monetization.
"""
def __init__(self):
self.namecheap = NamecheapApiScraper()
self.dynadot = DynadotApiScraper()
self.sav = SavApiScraper()
self.godaddy = GoDaddyApiScraper()
self.parkio = ParkIoApiScraper()
self.namejet = NameJetApiScraper()
async def scrape_all(self, limit_per_platform: int = 100) -> Dict[str, Any]:
"""
Scrape all platforms using hidden APIs.
Returns combined results with platform breakdown.
"""
results = {
"total_found": 0,
"platforms": {},
"errors": [],
"items": [],
}
# ═══════════════════════════════════════════════════════════
# TIER 1: Most Reliable JSON APIs
# ═══════════════════════════════════════════════════════════
# Scrape GoDaddy (NEW - Most reliable!)
try:
godaddy_data = await self.godaddy.fetch_auctions(limit=limit_per_platform)
results["platforms"]["GoDaddy"] = {
"found": len(godaddy_data.get("items", [])),
"total": godaddy_data.get("total", 0),
}
results["items"].extend(godaddy_data.get("items", []))
results["total_found"] += len(godaddy_data.get("items", []))
if godaddy_data.get("error"):
results["errors"].append(f"GoDaddy: {godaddy_data['error']}")
except Exception as e:
results["errors"].append(f"GoDaddy: {str(e)}")
# Scrape Dynadot
try:
dynadot_data = await self.dynadot.fetch_auctions(page_size=limit_per_platform)
results["platforms"]["Dynadot"] = {
"found": len(dynadot_data.get("items", [])),
"total": dynadot_data.get("total", 0),
}
results["items"].extend(dynadot_data.get("items", []))
results["total_found"] += len(dynadot_data.get("items", []))
if dynadot_data.get("error"):
results["errors"].append(f"Dynadot: {dynadot_data['error']}")
except Exception as e:
results["errors"].append(f"Dynadot: {str(e)}")
# ═══════════════════════════════════════════════════════════
# TIER 2: AJAX/HTML Scrapers
# ═══════════════════════════════════════════════════════════
# Scrape NameJet (NEW)
try:
namejet_data = await self.namejet.fetch_auctions(limit=limit_per_platform)
results["platforms"]["NameJet"] = {
"found": len(namejet_data.get("items", [])),
"total": namejet_data.get("total", 0),
}
results["items"].extend(namejet_data.get("items", []))
results["total_found"] += len(namejet_data.get("items", []))
if namejet_data.get("error"):
results["errors"].append(f"NameJet: {namejet_data['error']}")
except Exception as e:
results["errors"].append(f"NameJet: {str(e)}")
# Scrape Park.io (Backorders - NEW)
try:
parkio_data = await self.parkio.fetch_pending_drops(limit=limit_per_platform)
results["platforms"]["Park.io"] = {
"found": len(parkio_data.get("items", [])),
"total": parkio_data.get("total", 0),
}
results["items"].extend(parkio_data.get("items", []))
results["total_found"] += len(parkio_data.get("items", []))
if parkio_data.get("error"):
results["errors"].append(f"Park.io: {parkio_data['error']}")
except Exception as e:
results["errors"].append(f"Park.io: {str(e)}")
# Scrape Sav.com
try:
sav_data = await self.sav.fetch_auctions(page=0)
results["platforms"]["Sav"] = {
"found": len(sav_data.get("items", [])),
"total": sav_data.get("total", 0),
}
results["items"].extend(sav_data.get("items", []))
results["total_found"] += len(sav_data.get("items", []))
if sav_data.get("error"):
results["errors"].append(f"Sav: {sav_data['error']}")
except Exception as e:
results["errors"].append(f"Sav: {str(e)}")
# ═══════════════════════════════════════════════════════════
# TIER 3: Experimental (May require fixes)
# ═══════════════════════════════════════════════════════════
# Scrape Namecheap (GraphQL - needs query hash)
try:
namecheap_data = await self.namecheap.fetch_auctions(limit=limit_per_platform)
results["platforms"]["Namecheap"] = {
"found": len(namecheap_data.get("items", [])),
"total": namecheap_data.get("total", 0),
}
results["items"].extend(namecheap_data.get("items", []))
results["total_found"] += len(namecheap_data.get("items", []))
if namecheap_data.get("error"):
results["errors"].append(f"Namecheap: {namecheap_data['error']}")
except Exception as e:
results["errors"].append(f"Namecheap: {str(e)}")
return results
# Export instances
namecheap_scraper = NamecheapApiScraper()
dynadot_scraper = DynadotApiScraper()
sav_scraper = SavApiScraper()
godaddy_scraper = GoDaddyApiScraper()
parkio_scraper = ParkIoApiScraper()
namejet_scraper = NameJetApiScraper()
hidden_api_scraper = HiddenApiScraperService()

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@ -0,0 +1,525 @@
"""
Playwright-based Stealth Scraper for Cloudflare-protected Domain Auction Sites.
This module uses Playwright with stealth plugins to bypass Cloudflare and other
anti-bot protections. It's designed for enterprise-grade web scraping.
Features:
- Stealth mode (undetectable browser fingerprint)
- Automatic Cloudflare bypass
- Connection pooling
- Retry logic with exponential backoff
- JSON extraction from rendered pages
- Cookie persistence across sessions
Supported Platforms:
- GoDaddy Auctions (Cloudflare protected)
- NameJet (Cloudflare protected)
- Any other protected auction site
Usage:
scraper = PlaywrightScraperService()
await scraper.initialize()
auctions = await scraper.scrape_godaddy()
await scraper.close()
"""
import asyncio
import json
import logging
import random
from datetime import datetime, timedelta
from typing import Any, Dict, List, Optional
from pathlib import Path
logger = logging.getLogger(__name__)
# Try to import playwright (optional dependency)
try:
from playwright.async_api import async_playwright, Browser, BrowserContext, Page
from playwright_stealth import Stealth
PLAYWRIGHT_AVAILABLE = True
except ImportError:
PLAYWRIGHT_AVAILABLE = False
Stealth = None
logger.warning("Playwright not installed. Stealth scraping disabled.")
class PlaywrightScraperService:
"""
Enterprise-grade Playwright scraper with Cloudflare bypass.
Uses stealth techniques to appear as a real browser:
- Real Chrome user agent
- WebGL fingerprint spoofing
- Navigator property spoofing
- Timezone and locale matching
"""
# User agents that work well with Cloudflare
USER_AGENTS = [
"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",
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 Safari/605.1.15",
]
def __init__(self):
self.playwright = None
self.browser: Optional[Browser] = None
self.context: Optional[BrowserContext] = None
self._initialized = False
self._cookie_dir = Path(__file__).parent.parent.parent / "data" / "cookies"
self._cookie_dir.mkdir(parents=True, exist_ok=True)
async def initialize(self) -> bool:
"""Initialize the browser instance."""
if not PLAYWRIGHT_AVAILABLE:
logger.error("Playwright not available. Install with: pip install playwright playwright-stealth")
return False
if self._initialized:
return True
try:
self.playwright = await async_playwright().start()
# Launch with stealth settings
self.browser = await self.playwright.chromium.launch(
headless=True,
args=[
"--disable-blink-features=AutomationControlled",
"--disable-dev-shm-usage",
"--no-sandbox",
"--disable-setuid-sandbox",
"--disable-infobars",
"--disable-extensions",
"--window-size=1920,1080",
]
)
# Create context with realistic settings
self.context = await self.browser.new_context(
user_agent=random.choice(self.USER_AGENTS),
viewport={"width": 1920, "height": 1080},
locale="en-US",
timezone_id="America/New_York",
geolocation={"longitude": -73.935242, "latitude": 40.730610},
permissions=["geolocation"],
)
# Load saved cookies if available
await self._load_cookies()
self._initialized = True
logger.info("Playwright browser initialized successfully")
return True
except Exception as e:
logger.exception(f"Failed to initialize Playwright: {e}")
return False
async def close(self):
"""Close browser and cleanup."""
if self.context:
await self._save_cookies()
await self.context.close()
if self.browser:
await self.browser.close()
if self.playwright:
await self.playwright.stop()
self._initialized = False
async def _load_cookies(self):
"""Load saved cookies from file."""
cookie_file = self._cookie_dir / "session_cookies.json"
if cookie_file.exists():
try:
with open(cookie_file) as f:
cookies = json.load(f)
await self.context.add_cookies(cookies)
logger.info(f"Loaded {len(cookies)} saved cookies")
except Exception as e:
logger.warning(f"Failed to load cookies: {e}")
async def _save_cookies(self):
"""Save cookies to file for persistence."""
try:
cookies = await self.context.cookies()
cookie_file = self._cookie_dir / "session_cookies.json"
with open(cookie_file, "w") as f:
json.dump(cookies, f)
logger.info(f"Saved {len(cookies)} cookies")
except Exception as e:
logger.warning(f"Failed to save cookies: {e}")
async def _create_stealth_page(self) -> Page:
"""Create a new page with stealth mode enabled."""
page = await self.context.new_page()
# Apply stealth mode
if Stealth:
stealth = Stealth(
navigator_webdriver=True,
chrome_runtime=True,
navigator_user_agent=True,
navigator_vendor=True,
webgl_vendor=True,
)
await stealth.apply_stealth_async(page)
return page
async def _wait_for_cloudflare(self, page: Page, timeout: int = 30):
"""Wait for Cloudflare challenge to complete."""
try:
# Wait for either the challenge to complete or content to load
await page.wait_for_function(
"""
() => {
// Check if we're past Cloudflare
const title = document.title.toLowerCase();
return !title.includes('just a moment') &&
!title.includes('attention required') &&
!title.includes('checking your browser');
}
""",
timeout=timeout * 1000
)
# Additional delay for any remaining JS to execute
await asyncio.sleep(2)
except Exception as e:
logger.warning(f"Cloudflare wait timeout: {e}")
# ═══════════════════════════════════════════════════════════════════════════════
# GODADDY AUCTIONS SCRAPER
# ═══════════════════════════════════════════════════════════════════════════════
async def scrape_godaddy(self, limit: int = 100) -> Dict[str, Any]:
"""
Scrape GoDaddy Auctions using Playwright.
GoDaddy uses Cloudflare + their own bot detection.
We intercept the API calls made by their frontend.
"""
if not await self.initialize():
return {"items": [], "total": 0, "error": "Playwright not initialized"}
page = None
try:
page = await self._create_stealth_page()
# Intercept XHR requests to capture auction data
captured_data = []
async def handle_response(response):
if "findApiProxy" in response.url and "auction" in response.url:
try:
data = await response.json()
captured_data.append(data)
except:
pass
page.on("response", handle_response)
# Navigate to GoDaddy Auctions
logger.info("Navigating to GoDaddy Auctions...")
await page.goto("https://auctions.godaddy.com/beta", wait_until="networkidle")
# Wait for Cloudflare
await self._wait_for_cloudflare(page)
# Wait for auction content to load
try:
await page.wait_for_selector('[data-testid="auction-card"], .auction-card, .domain-item', timeout=15000)
except:
logger.warning("Auction cards not found, trying to scroll...")
# Scroll to trigger lazy loading
await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2)")
await asyncio.sleep(2)
# Try to extract from intercepted API calls first
if captured_data:
return self._parse_godaddy_api_response(captured_data)
# Fallback: Extract from DOM
return await self._extract_godaddy_from_dom(page)
except Exception as e:
logger.exception(f"GoDaddy scraping error: {e}")
return {"items": [], "total": 0, "error": str(e)}
finally:
if page:
await page.close()
def _parse_godaddy_api_response(self, captured_data: List[Dict]) -> Dict[str, Any]:
"""Parse captured API response from GoDaddy."""
items = []
for data in captured_data:
results = data.get("results", [])
for item in results:
domain = item.get("fqdn", "") or item.get("domain", "")
if not domain:
continue
tld = domain.rsplit(".", 1)[-1] if "." in domain else ""
# Parse end time
end_time = None
end_at = item.get("endingAt") or item.get("auctionEndTime")
if end_at:
try:
end_time = datetime.fromisoformat(end_at.replace("Z", "+00:00")).replace(tzinfo=None)
except:
pass
price = item.get("price") or item.get("currentBidPrice") or item.get("minBid") or 0
items.append({
"domain": domain,
"tld": tld,
"platform": "GoDaddy",
"current_bid": float(price) if price else 0,
"min_bid": float(item.get("minBid", 0) or 0),
"num_bids": int(item.get("bids", 0) or item.get("bidCount", 0) or 0),
"end_time": end_time or datetime.utcnow() + timedelta(days=1),
"buy_now_price": float(item.get("buyNowPrice")) if item.get("buyNowPrice") else None,
"auction_url": f"https://auctions.godaddy.com/trpItemListing.aspx?domain={domain}&isc=cjcpounce",
"currency": "USD",
"is_active": True,
"traffic": int(item.get("traffic", 0) or 0),
"domain_authority": int(item.get("valuationPrice", 0) or 0),
})
return {
"items": items,
"total": len(items),
"source": "api_intercept",
}
async def _extract_godaddy_from_dom(self, page: Page) -> Dict[str, Any]:
"""Extract auction data from GoDaddy DOM when API intercept fails."""
items = []
try:
# Try different selectors
selectors = [
'[data-testid="auction-card"]',
'.auction-card',
'.domain-listing',
'tr[data-domain]',
'.domain-row',
]
for selector in selectors:
elements = await page.query_selector_all(selector)
if elements:
logger.info(f"Found {len(elements)} elements with selector: {selector}")
for el in elements[:100]: # Max 100 items
try:
# Try to extract domain name
domain_el = await el.query_selector('.domain-name, .fqdn, [data-domain], a[href*="domain"]')
if domain_el:
domain = await domain_el.text_content()
domain = domain.strip() if domain else ""
else:
domain = await el.get_attribute("data-domain") or ""
if not domain or "." not in domain:
continue
tld = domain.rsplit(".", 1)[-1]
# Try to extract price
price = 0
price_el = await el.query_selector('.price, .bid, .current-bid, [data-price]')
if price_el:
price_text = await price_el.text_content()
price = float("".join(c for c in price_text if c.isdigit() or c == ".") or "0")
items.append({
"domain": domain,
"tld": tld,
"platform": "GoDaddy",
"current_bid": price,
"min_bid": 0,
"num_bids": 0,
"end_time": datetime.utcnow() + timedelta(days=1),
"buy_now_price": None,
"auction_url": f"https://auctions.godaddy.com/trpItemListing.aspx?domain={domain}&isc=cjcpounce",
"currency": "USD",
"is_active": True,
})
except Exception as e:
logger.debug(f"Error extracting element: {e}")
break # Found elements, stop trying other selectors
except Exception as e:
logger.exception(f"DOM extraction error: {e}")
return {
"items": items,
"total": len(items),
"source": "dom_extraction",
}
# ═══════════════════════════════════════════════════════════════════════════════
# NAMEJET SCRAPER
# ═══════════════════════════════════════════════════════════════════════════════
async def scrape_namejet(self, limit: int = 100) -> Dict[str, Any]:
"""
Scrape NameJet auctions using Playwright.
NameJet uses heavy Cloudflare protection.
"""
if not await self.initialize():
return {"items": [], "total": 0, "error": "Playwright not initialized"}
page = None
try:
page = await self._create_stealth_page()
# Navigate to NameJet auctions page
logger.info("Navigating to NameJet...")
await page.goto("https://www.namejet.com/Pages/Auctions/ViewAuctions.aspx", wait_until="networkidle")
# Wait for Cloudflare
await self._wait_for_cloudflare(page)
# Wait for auction table
try:
await page.wait_for_selector('#MainContent_gvAuctions, .auction-table, table', timeout=15000)
except:
logger.warning("NameJet table not found")
# Extract data from table
items = []
rows = await page.query_selector_all('tr[data-id], #MainContent_gvAuctions tr, .auction-row')
for row in rows[:limit]:
try:
cells = await row.query_selector_all('td')
if len(cells) < 3:
continue
# NameJet format: Domain, End Time, Price, Bids, ...
domain = await cells[0].text_content()
domain = domain.strip() if domain else ""
if not domain or "." not in domain:
continue
tld = domain.rsplit(".", 1)[-1]
# Parse price
price = 0
if len(cells) > 2:
price_text = await cells[2].text_content()
price = float("".join(c for c in (price_text or "0") if c.isdigit() or c == ".") or "0")
# Parse bids
bids = 0
if len(cells) > 3:
bids_text = await cells[3].text_content()
bids = int("".join(c for c in (bids_text or "0") if c.isdigit()) or "0")
items.append({
"domain": domain,
"tld": tld,
"platform": "NameJet",
"current_bid": price,
"min_bid": 0,
"num_bids": bids,
"end_time": datetime.utcnow() + timedelta(days=1),
"buy_now_price": None,
"auction_url": f"https://www.namejet.com/Pages/Auctions/ViewAuctions.aspx?domain={domain}",
"currency": "USD",
"is_active": True,
})
except Exception as e:
logger.debug(f"Error parsing row: {e}")
return {
"items": items,
"total": len(items),
"source": "playwright",
}
except Exception as e:
logger.exception(f"NameJet scraping error: {e}")
return {"items": [], "total": 0, "error": str(e)}
finally:
if page:
await page.close()
# ═══════════════════════════════════════════════════════════════════════════════
# UNIFIED SCRAPE METHOD
# ═══════════════════════════════════════════════════════════════════════════════
async def scrape_all_protected(self) -> Dict[str, Any]:
"""
Scrape all Cloudflare-protected platforms.
Returns combined results from:
- GoDaddy Auctions
- NameJet
"""
results = {
"total_found": 0,
"platforms": {},
"items": [],
"errors": [],
}
if not PLAYWRIGHT_AVAILABLE:
results["errors"].append("Playwright not installed")
return results
try:
await self.initialize()
# Scrape GoDaddy
logger.info("Scraping GoDaddy with Playwright...")
godaddy_result = await self.scrape_godaddy()
results["platforms"]["GoDaddy"] = {
"found": len(godaddy_result.get("items", [])),
"source": godaddy_result.get("source", "unknown"),
}
results["items"].extend(godaddy_result.get("items", []))
results["total_found"] += len(godaddy_result.get("items", []))
if godaddy_result.get("error"):
results["errors"].append(f"GoDaddy: {godaddy_result['error']}")
# Small delay between platforms
await asyncio.sleep(3)
# Scrape NameJet
logger.info("Scraping NameJet with Playwright...")
namejet_result = await self.scrape_namejet()
results["platforms"]["NameJet"] = {
"found": len(namejet_result.get("items", [])),
"source": namejet_result.get("source", "unknown"),
}
results["items"].extend(namejet_result.get("items", []))
results["total_found"] += len(namejet_result.get("items", []))
if namejet_result.get("error"):
results["errors"].append(f"NameJet: {namejet_result['error']}")
except Exception as e:
logger.exception(f"Playwright scraping error: {e}")
results["errors"].append(str(e))
finally:
await self.close()
return results
# Singleton instance
playwright_scraper = PlaywrightScraperService()

View File

@ -0,0 +1,314 @@
"""
Sedo Official API Client
This service provides access to Sedo's official API for:
- Domain search and auctions
- Marketplace listings
- Domain pricing
API Documentation: https://api.sedo.com/apidocs/v1/
Type: XML-RPC based API
SECURITY:
- Credentials are loaded from environment variables
- NEVER hardcode credentials in this file
WHERE TO FIND YOUR CREDENTIALS:
1. Login to https://sedo.com
2. Go to "Mein Sedo" / "My Sedo"
3. Navigate to "API-Zugang" / "API Access"
4. You'll find:
- Partner ID (your user ID)
- SignKey (signature key for authentication)
Usage:
from app.services.sedo_api import sedo_client
# Search domains for sale
listings = await sedo_client.search_domains(keyword="tech")
"""
import logging
import hashlib
import time
from datetime import datetime, timedelta
from typing import Optional, List, Dict, Any
import httpx
from xml.etree import ElementTree
from app.config import get_settings
logger = logging.getLogger(__name__)
class SedoAPIClient:
"""
Official Sedo API Client.
Sedo uses an XML-RPC style API with signature-based authentication.
Each request must include:
- partnerid: Your partner ID
- signkey: Your signature key (or hashed signature)
"""
def __init__(self):
self.settings = get_settings()
self.base_url = self.settings.sedo_api_base or "https://api.sedo.com/api/v1/"
self.partner_id = self.settings.sedo_partner_id
self.sign_key = self.settings.sedo_sign_key
# HTTP client
self._client: Optional[httpx.AsyncClient] = None
@property
def is_configured(self) -> bool:
"""Check if API credentials are configured."""
return bool(self.partner_id and self.sign_key)
async def _get_client(self) -> httpx.AsyncClient:
"""Get or create HTTP client."""
if self._client is None or self._client.is_closed:
self._client = httpx.AsyncClient(
timeout=30.0,
headers={
"Content-Type": "application/x-www-form-urlencoded",
"User-Agent": "Pounce/1.0 (Domain Intelligence Platform)"
}
)
return self._client
async def close(self):
"""Close the HTTP client."""
if self._client and not self._client.is_closed:
await self._client.aclose()
self._client = None
def _generate_signature(self, params: Dict[str, Any]) -> str:
"""
Generate request signature for Sedo API.
The signature is typically: MD5(signkey + sorted_params)
Check Sedo docs for exact implementation.
"""
# Simple implementation - may need adjustment based on actual Sedo requirements
sorted_params = "&".join(f"{k}={v}" for k, v in sorted(params.items()))
signature_base = f"{self.sign_key}{sorted_params}"
return hashlib.md5(signature_base.encode()).hexdigest()
async def _request(
self,
endpoint: str,
params: Optional[Dict] = None
) -> Dict[str, Any]:
"""Make an authenticated API request."""
if not self.is_configured:
raise ValueError("Sedo API credentials not configured")
client = await self._get_client()
# Base params for all requests
request_params = {
"partnerid": self.partner_id,
"signkey": self.sign_key,
**(params or {})
}
url = f"{self.base_url.rstrip('/')}/{endpoint.lstrip('/')}"
try:
response = await client.get(url, params=request_params)
response.raise_for_status()
# Sedo API can return XML or JSON depending on endpoint
content_type = response.headers.get("content-type", "")
if "xml" in content_type:
return self._parse_xml_response(response.text)
elif "json" in content_type:
return response.json()
else:
# Try JSON first, fallback to XML
try:
return response.json()
except:
return self._parse_xml_response(response.text)
except httpx.HTTPError as e:
logger.error(f"Sedo API request failed: {e}")
raise
def _parse_xml_response(self, xml_text: str) -> Dict[str, Any]:
"""Parse XML response from Sedo API."""
try:
root = ElementTree.fromstring(xml_text)
return self._xml_to_dict(root)
except Exception as e:
logger.warning(f"Failed to parse XML: {e}")
return {"raw": xml_text}
def _xml_to_dict(self, element) -> Dict[str, Any]:
"""Convert XML element to dictionary."""
result = {}
for child in element:
if len(child) > 0:
result[child.tag] = self._xml_to_dict(child)
else:
result[child.tag] = child.text
return result
# =========================================================================
# DOMAIN SEARCH ENDPOINTS
# =========================================================================
async def search_domains(
self,
keyword: Optional[str] = None,
tld: Optional[str] = None,
min_price: Optional[float] = None,
max_price: Optional[float] = None,
page: int = 1,
page_size: int = 100,
) -> Dict[str, Any]:
"""
Search for domains listed on Sedo marketplace.
Returns domains for sale (not auctions).
"""
params = {
"output_method": "json", # Request JSON response
}
if keyword:
params["keyword"] = keyword
if tld:
params["tld"] = tld.lstrip(".")
if min_price is not None:
params["minprice"] = min_price
if max_price is not None:
params["maxprice"] = max_price
if page:
params["page"] = page
if page_size:
params["pagesize"] = min(page_size, 100)
return await self._request("DomainSearch", params)
async def search_auctions(
self,
keyword: Optional[str] = None,
tld: Optional[str] = None,
ending_within_hours: Optional[int] = None,
page: int = 1,
page_size: int = 100,
) -> Dict[str, Any]:
"""
Search for active domain auctions on Sedo.
"""
params = {
"output_method": "json",
"auction": "true", # Only auctions
}
if keyword:
params["keyword"] = keyword
if tld:
params["tld"] = tld.lstrip(".")
if page:
params["page"] = page
if page_size:
params["pagesize"] = min(page_size, 100)
return await self._request("DomainSearch", params)
async def get_domain_details(self, domain: str) -> Dict[str, Any]:
"""Get detailed information about a specific domain."""
params = {
"domain": domain,
"output_method": "json",
}
return await self._request("DomainDetails", params)
async def get_ending_soon_auctions(
self,
hours: int = 24,
page_size: int = 50
) -> Dict[str, Any]:
"""Get auctions ending soon."""
return await self.search_auctions(
ending_within_hours=hours,
page_size=page_size
)
# =========================================================================
# UTILITY METHODS
# =========================================================================
async def test_connection(self) -> Dict[str, Any]:
"""Test the API connection and credentials."""
if not self.is_configured:
return {
"success": False,
"error": "API credentials not configured",
"configured": False,
"hint": "Find your credentials at: Sedo.com → Mein Sedo → API-Zugang"
}
try:
# Try a simple search to test connection
result = await self.search_domains(keyword="test", page_size=1)
return {
"success": True,
"configured": True,
"partner_id": self.partner_id,
"authenticated_at": datetime.utcnow().isoformat()
}
except Exception as e:
return {
"success": False,
"error": str(e),
"configured": True
}
def transform_to_pounce_format(self, sedo_listing: Dict) -> Dict[str, Any]:
"""
Transform Sedo listing to Pounce internal format.
Maps Sedo fields to our DomainAuction model.
"""
domain = sedo_listing.get("domain") or sedo_listing.get("domainname", "")
tld = domain.rsplit(".", 1)[1] if "." in domain else ""
# Parse end time if auction
end_time_str = sedo_listing.get("auctionend") or sedo_listing.get("enddate")
if end_time_str:
try:
end_time = datetime.fromisoformat(end_time_str.replace("Z", "+00:00"))
except:
end_time = datetime.utcnow() + timedelta(days=7)
else:
end_time = datetime.utcnow() + timedelta(days=7)
# Price handling
price = sedo_listing.get("price") or sedo_listing.get("currentbid") or 0
if isinstance(price, str):
price = float(price.replace(",", "").replace("$", "").replace("", ""))
return {
"domain": domain,
"tld": tld,
"platform": "Sedo",
"current_bid": price,
"buy_now_price": sedo_listing.get("buynow") or sedo_listing.get("bin"),
"currency": sedo_listing.get("currency", "EUR"),
"num_bids": sedo_listing.get("numbids") or sedo_listing.get("bidcount", 0),
"end_time": end_time,
"auction_url": f"https://sedo.com/search/details/?domain={domain}",
"age_years": None,
"reserve_met": sedo_listing.get("reservemet"),
"traffic": sedo_listing.get("traffic"),
"is_auction": sedo_listing.get("isaution") == "1" or sedo_listing.get("auction") == True,
}
# Singleton instance
sedo_client = SedoAPIClient()

View File

@ -0,0 +1 @@
[{"name": "market", "value": "de-CH", "domain": ".godaddy.com", "path": "/", "expires": 1796986248.403492, "httpOnly": false, "secure": false, "sameSite": "Lax"}, {"name": "currency", "value": "CHF", "domain": ".godaddy.com", "path": "/", "expires": 1796986248.425822, "httpOnly": false, "secure": false, "sameSite": "Lax"}]

View File

@ -164,16 +164,39 @@ export default function AuctionsPage() {
const loadAuctions = async () => { const loadAuctions = async () => {
setLoading(true) setLoading(true)
try { try {
const [all, ending, hot, pounce] = await Promise.all([ // Use unified feed API for all data - same as Terminal Market Page
api.getAuctions(undefined, undefined, undefined, undefined, undefined, false, 'ending', 100, 0), const [allFeed, endingFeed, hotFeed, pounceFeed] = await Promise.all([
api.getEndingSoonAuctions(24, 50), // 24 hours, limit 50 api.getMarketFeed({ source: 'all', limit: 100, sortBy: 'time' }),
api.getHotAuctions(50), api.getMarketFeed({ source: 'external', endingWithin: 24, limit: 50, sortBy: 'time' }),
api.getMarketFeed({ source: 'pounce', limit: 10 }).catch(() => ({ items: [] })), api.getMarketFeed({ source: 'external', limit: 50, sortBy: 'score' }), // Hot = highest score
api.getMarketFeed({ source: 'pounce', limit: 10 }),
]) ])
setAllAuctions(all.auctions || [])
setEndingSoon(ending || []) // Convert MarketItem to Auction format for compatibility
setHotAuctions(hot || []) const convertToAuction = (item: MarketItem): Auction => ({
setPounceItems(pounce.items || []) domain: item.domain,
platform: item.source,
platform_url: item.url,
current_bid: item.price,
currency: item.currency,
num_bids: item.num_bids || 0,
end_time: item.end_time || '',
time_remaining: item.time_remaining || '',
buy_now_price: item.price_type === 'fixed' ? item.price : null,
reserve_met: null,
traffic: null,
age_years: null,
tld: item.tld,
affiliate_url: item.url,
})
// Filter out Pounce Direct from auction lists (they go in separate section)
const externalOnly = (items: MarketItem[]) => items.filter(i => !i.is_pounce).map(convertToAuction)
setAllAuctions(externalOnly(allFeed.items || []))
setEndingSoon(externalOnly(endingFeed.items || []))
setHotAuctions(externalOnly(hotFeed.items || []))
setPounceItems(pounceFeed.items || [])
} catch (error) { } catch (error) {
console.error('Failed to load auctions:', error) console.error('Failed to load auctions:', error)
} finally { } finally {