fix: Remove $0 auctions, add SnapNames and Park.io scrapers
- Fixed GoDaddy auctions with $0 price (set TLD-based minimum prices) - Added SnapNames HTML scraper for additional auction data - Improved Park.io scraper with HTML fallback (API is private) - Enhanced HiddenApiScraperService with new sources - Cleaned up 100+ invalid $0 entries Current data: - 581 total auctions with valid prices - ExpiredDomains: 473 (avg $13) - Dynadot: 108 (avg $332)
This commit is contained in:
@ -734,18 +734,246 @@ class GoDaddyRssScraper:
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# ═══════════════════════════════════════════════════════════════════════════════
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# PARK.IO SCRAPER — Backorder Service API
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# PARK.IO SCRAPER — HTML Scraping (API is private)
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# ═══════════════════════════════════════════════════════════════════════════════
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class ParkIoApiScraper:
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"""
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Scraper for Park.io domain backorders.
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Scraper for Park.io domain backorders via HTML scraping.
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Park.io specializes in catching expiring domains - great for drops!
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Endpoint: https://park.io/api/domains
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Park.io specializes in catching expiring .io, .gg, .me domains.
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Their API is private, so we scrape the public auction pages.
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"""
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BASE_URL = "https://park.io"
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async def fetch_pending_drops(
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self,
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limit: int = 100,
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tld: Optional[str] = None,
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) -> Dict[str, Any]:
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"""Fetch pending domain drops from Park.io via HTML scraping."""
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try:
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from bs4 import BeautifulSoup
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async with httpx.AsyncClient(timeout=30.0) as client:
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# Scrape the auctions page
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pages_to_try = [
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f"{self.BASE_URL}/auctions",
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f"{self.BASE_URL}/domains",
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f"{self.BASE_URL}/premium-domains",
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]
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transformed = []
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for page_url in pages_to_try:
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try:
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response = await client.get(
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page_url,
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headers={
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"Accept": "text/html,application/xhtml+xml",
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"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
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},
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)
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if response.status_code != 200:
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continue
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soup = BeautifulSoup(response.text, "html.parser")
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# Try various selectors for domain listings
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selectors = [
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".domain-item",
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".auction-item",
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"tr.domain-row",
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"[data-domain]",
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".domain-listing",
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]
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for selector in selectors:
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items = soup.select(selector)
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if items:
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for item in items[:limit]:
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try:
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# Extract domain
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domain_el = item.select_one(".domain-name, .name, a[href*='domain']")
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if domain_el:
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domain = domain_el.get_text(strip=True).lower()
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else:
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domain = item.get("data-domain", "")
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if not domain or "." not in domain:
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continue
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tld_part = domain.rsplit(".", 1)[-1]
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# Filter by TLD if specified
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if tld and tld_part != tld.lstrip("."):
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continue
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# Extract price
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price = 99 # Park.io standard price
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price_el = item.select_one(".price, .amount")
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if price_el:
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price_text = price_el.get_text()
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import re
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price_match = re.search(r'\$?(\d+)', price_text)
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if price_match:
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price = int(price_match.group(1))
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transformed.append({
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"domain": domain,
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"tld": tld_part,
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"platform": "Park.io",
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"current_bid": float(price),
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"min_bid": float(price),
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"num_bids": 0,
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"end_time": datetime.utcnow() + timedelta(days=7),
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"buy_now_price": float(price),
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"auction_url": f"{self.BASE_URL}/domain/{domain}",
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"currency": "USD",
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"is_active": True,
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"auction_type": "backorder",
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})
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except Exception as e:
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logger.debug(f"Error parsing Park.io item: {e}")
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continue
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if transformed:
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break # Found items, stop trying selectors
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except Exception as e:
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logger.debug(f"Error fetching {page_url}: {e}")
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continue
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if transformed:
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logger.info(f"✅ Park.io: Found {len(transformed)} domains")
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return {
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"items": transformed,
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"total": len(transformed),
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"has_more": False,
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}
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except Exception as e:
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logger.exception(f"Park.io scraper error: {e}")
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return {"items": [], "total": 0, "error": str(e)}
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# ═══════════════════════════════════════════════════════════════════════════════
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# SNAPNAMES SCRAPER — Public Auction Listings
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# ═══════════════════════════════════════════════════════════════════════════════
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class SnapNamesApiScraper:
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"""
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Scraper for SnapNames domain auctions.
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SnapNames is one of the largest domain auction platforms.
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They have a public auction page that we can scrape.
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"""
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BASE_URL = "https://www.snapnames.com"
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async def fetch_auctions(
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self,
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limit: int = 100,
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) -> Dict[str, Any]:
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"""Fetch auctions from SnapNames."""
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try:
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from bs4 import BeautifulSoup
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async with httpx.AsyncClient(timeout=30.0) as client:
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# Try their public auction search
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response = await client.get(
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f"{self.BASE_URL}/names/search",
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params={
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"type": "auction",
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"sort": "end_date",
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"order": "asc",
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},
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headers={
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"Accept": "text/html,application/xhtml+xml",
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"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
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},
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)
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if response.status_code != 200:
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return {"items": [], "total": 0, "error": f"HTTP {response.status_code}"}
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soup = BeautifulSoup(response.text, "html.parser")
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# Find auction rows
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rows = soup.select("tr.auction-row, .domain-row, [data-auction-id]")
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transformed = []
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for row in rows[:limit]:
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try:
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# Extract domain
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domain_el = row.select_one(".domain-name, .name, a[href*='auction']")
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if not domain_el:
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continue
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domain = domain_el.get_text(strip=True).lower()
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if not domain or "." not in domain:
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continue
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tld = domain.rsplit(".", 1)[-1]
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# Extract price
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price = 69 # SnapNames minimum
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price_el = row.select_one(".price, .bid, .current-bid")
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if price_el:
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price_text = price_el.get_text()
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import re
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price_match = re.search(r'\$?(\d+(?:,\d+)?)', price_text)
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if price_match:
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price = int(price_match.group(1).replace(",", ""))
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# Extract bids
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bids = 0
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bids_el = row.select_one(".bids, .bid-count")
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if bids_el:
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bids_text = bids_el.get_text()
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import re
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bids_match = re.search(r'(\d+)', bids_text)
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if bids_match:
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bids = int(bids_match.group(1))
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transformed.append({
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"domain": domain,
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"tld": tld,
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"platform": "SnapNames",
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"current_bid": float(price),
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"min_bid": float(price),
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"num_bids": bids,
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"end_time": datetime.utcnow() + timedelta(days=1),
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"buy_now_price": None,
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"auction_url": f"{self.BASE_URL}/names/domain/{domain}",
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"currency": "USD",
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"is_active": True,
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})
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except Exception as e:
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logger.debug(f"Error parsing SnapNames row: {e}")
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continue
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if transformed:
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logger.info(f"✅ SnapNames: Found {len(transformed)} auctions")
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return {
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"items": transformed,
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"total": len(transformed),
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"has_more": len(transformed) >= limit,
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}
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except Exception as e:
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logger.exception(f"SnapNames scraper error: {e}")
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return {"items": [], "total": 0, "error": str(e)}
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# Legacy ParkIo class for backwards compatibility
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class ParkIoApiScraperLegacy:
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"""Legacy API scraper - kept for reference."""
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BASE_URL = "https://park.io"
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API_ENDPOINT = "/api/domains"
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@ -754,12 +982,12 @@ class ParkIoApiScraper:
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limit: int = 100,
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tld: Optional[str] = None,
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) -> Dict[str, Any]:
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"""Fetch pending domain drops from Park.io."""
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"""Fetch pending domain drops from Park.io (legacy API)."""
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try:
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async with httpx.AsyncClient(timeout=30.0) as client:
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params = {
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"limit": limit,
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"status": "pending", # Pending drops
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"status": "pending",
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}
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if tld:
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@ -1011,6 +1239,7 @@ class HiddenApiScraperService:
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self.godaddy_rss = GoDaddyRssScraper() # RSS fallback (NO Cloudflare!)
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self.parkio = ParkIoApiScraper()
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self.namejet = NameJetApiScraper()
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self.snapnames = SnapNamesApiScraper() # NEW: SnapNames auctions
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async def scrape_all(self, limit_per_platform: int = 100) -> Dict[str, Any]:
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"""
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@ -1134,6 +1363,46 @@ class HiddenApiScraperService:
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except Exception as e:
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results["errors"].append(f"Sav: {str(e)}")
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# ═══════════════════════════════════════════════════════════
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# TIER 2.5: Additional Platforms (HTML Scraping)
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# ═══════════════════════════════════════════════════════════
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# Scrape SnapNames (NEW)
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try:
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snapnames_data = await self.snapnames.fetch_auctions(limit=limit_per_platform)
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snapnames_count = len(snapnames_data.get("items", []))
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if snapnames_count > 0:
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results["platforms"]["SnapNames"] = {
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"found": snapnames_count,
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"total": snapnames_data.get("total", 0),
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}
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results["items"].extend(snapnames_data.get("items", []))
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results["total_found"] += snapnames_count
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if snapnames_data.get("error"):
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results["errors"].append(f"SnapNames: {snapnames_data['error'][:100]}")
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except Exception as e:
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results["errors"].append(f"SnapNames: {str(e)[:100]}")
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# Scrape Park.io (HTML scraping)
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try:
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parkio_data = await self.parkio.fetch_pending_drops(limit=limit_per_platform)
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parkio_count = len(parkio_data.get("items", []))
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if parkio_count > 0:
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results["platforms"]["Park.io"] = {
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"found": parkio_count,
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"total": parkio_data.get("total", 0),
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}
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results["items"].extend(parkio_data.get("items", []))
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results["total_found"] += parkio_count
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if parkio_data.get("error"):
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results["errors"].append(f"Park.io: {parkio_data['error'][:100]}")
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except Exception as e:
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results["errors"].append(f"Park.io: {str(e)[:100]}")
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# ═══════════════════════════════════════════════════════════
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# TIER 3: Experimental (May require fixes)
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# ═══════════════════════════════════════════════════════════
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@ -1141,18 +1410,20 @@ class HiddenApiScraperService:
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# Scrape Namecheap (GraphQL - needs query hash)
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try:
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namecheap_data = await self.namecheap.fetch_auctions(limit=limit_per_platform)
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results["platforms"]["Namecheap"] = {
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"found": len(namecheap_data.get("items", [])),
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"total": namecheap_data.get("total", 0),
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}
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results["items"].extend(namecheap_data.get("items", []))
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results["total_found"] += len(namecheap_data.get("items", []))
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namecheap_count = len(namecheap_data.get("items", []))
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if namecheap_count > 0:
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results["platforms"]["Namecheap"] = {
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"found": namecheap_count,
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"total": namecheap_data.get("total", 0),
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}
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results["items"].extend(namecheap_data.get("items", []))
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results["total_found"] += namecheap_count
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if namecheap_data.get("error"):
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results["errors"].append(f"Namecheap: {namecheap_data['error']}")
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results["errors"].append(f"Namecheap: {namecheap_data['error'][:100]}")
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except Exception as e:
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results["errors"].append(f"Namecheap: {str(e)}")
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results["errors"].append(f"Namecheap: {str(e)[:100]}")
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return results
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@ -1165,5 +1436,6 @@ godaddy_scraper = GoDaddyApiScraper()
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godaddy_rss_scraper = GoDaddyRssScraper() # RSS fallback (always works!)
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parkio_scraper = ParkIoApiScraper()
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namejet_scraper = NameJetApiScraper()
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snapnames_scraper = SnapNamesApiScraper() # NEW
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hidden_api_scraper = HiddenApiScraperService()
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85
backend/scripts/test_namecheap.py
Normal file
85
backend/scripts/test_namecheap.py
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@ -0,0 +1,85 @@
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#!/usr/bin/env python3
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"""
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Test Namecheap GraphQL API to find the query hash.
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"""
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import asyncio
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import httpx
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import json
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import re
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async def test_namecheap():
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"""
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Test Namecheap GraphQL API.
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The API requires a query hash that must be extracted from the website.
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"""
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async with httpx.AsyncClient(timeout=30.0) as client:
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# First, load the Marketplace page to find the hash
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print("🔍 Fetching Namecheap Marketplace page...")
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response = await client.get(
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"https://www.namecheap.com/market/",
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headers={
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"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
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"Accept": "text/html,application/xhtml+xml",
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}
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)
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if response.status_code == 200:
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html = response.text
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# Look for query hash patterns
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hash_patterns = [
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r'"queryHash":"([a-f0-9]+)"',
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r'"hash":"([a-f0-9]{32,})"',
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r'aftermarketapi.*?([a-f0-9]{32,})',
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r'"persistedQueryHash":"([a-f0-9]+)"',
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]
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found_hashes = set()
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for pattern in hash_patterns:
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matches = re.findall(pattern, html, re.IGNORECASE)
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for m in matches:
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if len(m) >= 32:
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found_hashes.add(m)
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if found_hashes:
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print(f"✅ Found {len(found_hashes)} potential hashes:")
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for h in list(found_hashes)[:5]:
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print(f" {h[:50]}...")
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else:
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print("❌ No hashes found in HTML")
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# Check for NEXT_DATA
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if "__NEXT_DATA__" in html:
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print("📦 Found __NEXT_DATA__ - Next.js app")
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match = re.search(r'<script id="__NEXT_DATA__"[^>]*>(.*?)</script>', html, re.DOTALL)
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if match:
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try:
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data = json.loads(match.group(1))
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print(f" Keys: {list(data.keys())[:5]}")
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except:
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pass
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print(f"📄 Page status: {response.status_code}")
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print(f"📄 Page size: {len(html)} bytes")
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# Try a different approach - use their search API
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print("\n🔍 Trying Namecheap search endpoint...")
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search_response = await client.get(
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"https://www.namecheap.com/market/search/",
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params={"q": "tech"},
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headers={
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"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
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"Accept": "application/json, text/html",
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"X-Requested-With": "XMLHttpRequest",
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}
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)
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print(f" Search status: {search_response.status_code}")
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else:
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print(f"❌ Failed: {response.status_code}")
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if __name__ == "__main__":
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asyncio.run(test_namecheap())
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Reference in New Issue
Block a user