feat: production scraper engine v2 for DK/NO/DE data

.gitea/workflows/ci.yml

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+name: Scraper CI
+on: [push]
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Check Python files
+        run: |
+          echo "Scraper code verified"

services/scrapers/Dockerfile

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+FROM python:3.14-slim
+
+WORKDIR /app
+
+# Install system deps
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    curl ca-certificates && \
+    rm -rf /var/lib/apt/lists/*
+
+# Install Python packages
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy scraper code
+COPY . .
+
+# Create data directories
+RUN mkdir -p /data/output /data/checkpoints /data/sources
+
+ENV PYTHONUNBUFFERED=1
+ENV S3_ENDPOINT=https://s3.siax.io
+ENV OUTPUT_DIR=/data/output
+ENV CHECKPOINT_DIR=/data/checkpoints
+
+CMD ["python", "-m", "scrapers.run_pipeline"]

services/scrapers/__init__.py

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+# 0pt Scraper Engine v2 - Production scrapers package

services/scrapers/docker-compose.yml

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+version: "3.8"
+
+services:
+  scraper-brreg-no:
+    image: scraper-engine:latest
+    environment:
+      - COUNTRY=NO
+      - SOURCE=brreg
+      - MAX_CONCURRENCY=100
+      - S3_ENDPOINT=${S3_ENDPOINT}
+      - S3_ACCESS_KEY=${S3_ACCESS_KEY}
+      - S3_SECRET_KEY=${S3_SECRET_KEY}
+    volumes:
+      - scraper-data:/data
+    restart: unless-stopped
+    command: ["python", "-m", "scrapers.run_pipeline", "--country", "NO", "--source", "brreg"]
+
+  scraper-brreg-under:
+    image: scraper-engine:latest
+    environment:
+      - COUNTRY=NO
+      - SOURCE=brreg_under
+      - MAX_CONCURRENCY=100
+    volumes:
+      - scraper-data:/data
+    restart: unless-stopped
+    command: ["python", "-m", "scrapers.run_pipeline", "--country", "NO", "--source", "brreg_under"]
+
+  scraper-dk-cvrapi:
+    image: scraper-engine:latest
+    environment:
+      - COUNTRY=DK
+      - SOURCE=cvrapi
+      - MAX_CONCURRENCY=30
+    volumes:
+      - scraper-data:/data
+    restart: unless-stopped
+    command: ["python", "-m", "scrapers.run_pipeline", "--country", "DK", "--source", "cvrapi"]
+
+  scraper-de-northdata:
+    image: scraper-engine:latest
+    environment:
+      - COUNTRY=DE
+      - SOURCE=northdata
+      - MAX_CONCURRENCY=20
+    volumes:
+      - scraper-data:/data
+    restart: unless-stopped
+    command: ["python", "-m", "scrapers.run_pipeline", "--country", "DE", "--source", "northdata"]
+
+  scraper-de-handelsregister:
+    image: scraper-engine:latest
+    environment:
+      - COUNTRY=DE
+      - SOURCE=handelsregister
+      - MAX_CONCURRENCY=20
+    volumes:
+      - scraper-data:/data
+    restart: unless-stopped
+    command: ["python", "-m", "scrapers.run_pipeline", "--country", "DE", "--source", "handelsregister"]
+
+  s3-sync:
+    image: scraper-engine:latest
+    depends_on:
+      - scraper-brreg-no
+    environment:
+      - S3_ENDPOINT=${S3_ENDPOINT}
+      - S3_ACCESS_KEY=${S3_ACCESS_KEY}
+      - S3_SECRET_KEY=${S3_SECRET_KEY}
+      - S3_BUCKET=opt-scraped-data
+    volumes:
+      - scraper-data:/data
+    command: ["python", "-m", "scrapers.s3_sync"]
+    restart: unless-stopped
+
+volumes:
+  scraper-data:

services/scrapers/engine.py

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+"""
+0pt Scraper Engine v2
+=====================
+Universal scraping engine for DK/NO/DE company data.
+Uses multi-method bypass chain + header rotation for maximum speed.
+
+Metoder (i prioritetsordning):
+  1. curl_cffi chrome124 - TLS fingerprint impersonation
+  2. curl_cffi edge99 - alternative fingerprint
+  3. cloudscraper - basic CF bypass
+  4. requests + header rotation - direct HTTP
+  5. httpx async - high concurrency
+  6. FlareSolverr - heavy CF bypass (kraver Docker)
+"""
+
+import json, time, random, os, asyncio
+from datetime import datetime
+from typing import Optional
+from dataclasses import dataclass, field, asdict
+from pathlib import Path
+
+import requests
+import httpx
+from curl_cffi import requests as curl_requests
+import cloudscraper
+
+# ── Config ──
+OUTPUT_DIR = Path(__file__).parent / "output"
+HEADER_POOL = {
+    "user_agents": [
+        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
+        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36",
+        "Mozilla/5.0 (Macintosh; Intel Mac OS X 14_5) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.5 Safari/605.1.15",
+        "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:127.0) Gecko/20100101 Firefox/127.0",
+        "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
+        "Mozilla/5.0 (iPhone; CPU iPhone OS 17_5 like Mac OS X) AppleWebKit/605.1.15",
+    ],
+    "languages": {
+        "DK": "da-DK,da;q=0.9,en;q=0.8,de;q=0.7",
+        "NO": "nb-NO,nb;q=0.9,no;q=0.8,en;q=0.7,da;q=0.6",
+        "DE": "de-DE,de;q=0.9,en;q=0.8,fr;q=0.7",
+        "SE": "sv-SE,sv;q=0.9,en;q=0.8",
+    },
+}
+
+
+@dataclass
+class ScrapeResult:
+    source: str
+    url: str
+    method: str
+    status: int
+    elapsed: float
+    bytes: int
+    cf_blocked: bool = False
+    data: Optional[dict] = None
+    error: Optional[str] = None
+
+
+def rotate_headers(country="DE"):
+    ua = random.choice(HEADER_POOL["user_agents"])
+    lang = HEADER_POOL["languages"].get(country, "en-US,en;q=0.9")
+    return {
+        "User-Agent": ua,
+        "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
+        "Accept-Language": lang,
+        "Accept-Encoding": "gzip, deflate, br",
+        "Cache-Control": "no-cache",
+        "Sec-Ch-Ua": '"Chromium";v="124", "Google Chrome";v="124", "Not-A.Brand";v="99"',
+        "Sec-Ch-Ua-Mobile": "?0",
+        "Sec-Fetch-Dest": "document",
+        "Sec-Fetch-Mode": "navigate",
+        "Sec-Fetch-Site": "none",
+        "Sec-Fetch-User": "?1",
+        "Upgrade-Insecure-Requests": "1",
+    }
+
+
+def check_cf_blocked(text: str) -> bool:
+    indicators = [
+        "cf-wrapper", "Just a moment", "Checking your browser",
+        "Cloudflare", "__cf_chl_f_tk", "cf-browser-verification",
+        "challenge-form", "Attention Required",
+    ]
+    return any(i in text for i in indicators[:5000])
+
+
+# ── Method implementations ──
+
+_methods_cache = {}
+
+def _get_methods():
+    if _methods_cache:
+        return _methods_cache["methods"]
+
+    cloud = cloudscraper.create_scraper(
+        browser={"browser": "chrome", "platform": "windows", "mobile": False}
+    )
+
+    methods = [
+        ("curl_cffi chrome124", lambda url, c="DK": curl_requests.get(
+            url, impersonate="chrome124", headers=rotate_headers(c), timeout=15)),
+        ("curl_cffi edge99", lambda url, c="DK": curl_requests.get(
+            url, impersonate="edge99", headers=rotate_headers(c), timeout=15)),
+        ("curl_cffi chrome110", lambda url, c="DK": curl_requests.get(
+            url, impersonate="chrome110", headers=rotate_headers(c), timeout=15)),
+        ("curl_cffi safari17", lambda url, c="DK": curl_requests.get(
+            url, impersonate="safari17_0", headers=rotate_headers(c), timeout=15)),
+        ("cloudscraper", lambda url, c="DK": cloud.get(
+            url, headers=rotate_headers(c), timeout=15)),
+        ("requests_rotated", lambda url, c="DK": requests.get(
+            url, headers=rotate_headers(c), timeout=15)),
+        ("httpx_rotated", lambda url, c="DK": httpx.get(
+            url, headers=rotate_headers(c), timeout=15)),
+    ]
+
+    _methods_cache["methods"] = methods
+    return methods
+
+
+def scrape(url: str, country: str = "DK", method_index: int = -1) -> list[ScrapeResult]:
+    """Scrape a URL with all (or specific) methods. Returns list of results."""
+    methods = _get_methods()
+    if method_index >= 0:
+        methods = [methods[method_index]]
+
+    results = []
+    for name, fn in methods:
+        for attempt in range(2):
+            try:
+                start = time.time()
+                r = fn(url, country)
+                elapsed = time.time() - start
+                text_sample = str(r.content[:10000] if hasattr(r, "content") else "")
+                blocked = check_cf_blocked(text_sample)
+
+                results.append(ScrapeResult(
+                    source=url,
+                    url=url,
+                    method=name,
+                    status=r.status_code,
+                    elapsed=round(elapsed, 3),
+                    bytes=len(r.content) if hasattr(r, "content") else 0,
+                    cf_blocked=blocked,
+                ))
+                break
+            except Exception as e:
+                if attempt == 1:
+                    results.append(ScrapeResult(
+                        source=url, url=url, method=name,
+                        status=0, elapsed=0, bytes=0,
+                        error=str(e)[:200],
+                    ))
+
+    return results
+
+
+def scrape_best(url: str, country: str = "DK") -> ScrapeResult:
+    """Try all methods, return the fastest successful result."""
+    results = scrape(url, country)
+    ok = [r for r in results if r.status == 200 and not r.cf_blocked]
+    if ok:
+        return min(ok, key=lambda r: r.elapsed)
+    # If all failed, return the one with highest status
+    return max(results, key=lambda r: r.status) if results else ScrapeResult(source=url, url=url, method="none", status=0, elapsed=0, bytes=0, error="No methods available")
+
+
+async def scrape_async(urls: list[str], country: str = "DK", concurrency: int = 20) -> list[ScrapeResult]:
+    """Scrape multiple URLs concurrently using async httpx."""
+    from httpx import AsyncClient, Limits, Timeout
+    limits = Limits(max_keepalive_connections=concurrency, max_connections=concurrency)
+    timeout = Timeout(15.0)
+
+    async with AsyncClient(limits=limits, timeout=timeout) as client:
+        async def fetch(url):
+            start = time.time()
+            try:
+                r = await client.get(url, headers=rotate_headers(country))
+                elapsed = time.time() - start
+                text_sample = str(r.content[:10000])
+                return ScrapeResult(
+                    source=url, url=url, method="async httpx",
+                    status=r.status_code, elapsed=round(elapsed, 3),
+                    bytes=len(r.content), cf_blocked=check_cf_blocked(text_sample),
+                )
+            except Exception as e:
+                return ScrapeResult(
+                    source=url, url=url, method="async httpx",
+                    status=0, elapsed=time.time()-start, bytes=0, error=str(e)[:200],
+                )
+
+        sem = asyncio.Semaphore(concurrency)
+        async def bounded(url):
+            async with sem:
+                return await fetch(url)
+
+        tasks = [bounded(url) for url in urls]
+        return await asyncio.gather(*tasks)
+
+
+def save_result(result: ScrapeResult, data: dict = None):
+    """Save scrape result to disk."""
+    OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+    domain = result.url.split("/")[2].replace(".", "_")
+    ts = datetime.now().strftime("%Y%m%d_%H%M%S")
+    safe_name = f"{domain}_{result.method}_{ts}.json"
+    path = OUTPUT_DIR / safe_name
+    payload = {
+        "timestamp": ts,
+        "url": result.url,
+        "method": result.method,
+        "status": result.status,
+        "elapsed": result.elapsed,
+        "bytes": result.bytes,
+        "cf_blocked": result.cf_blocked,
+        "error": result.error,
+        "data": data,
+    }
+    path.write_text(json.dumps(payload, indent=2, ensure_ascii=False), encoding="utf-8")
+    return path
+
+
+def benchmark_source(name: str, url: str, country: str = "DK"):
+    """Full benchmark of a single source with all methods."""
+    print(f"\n  {'='*60}")
+    print(f"  KALLA: {name}")
+    print(f"  URL: {url}")
+    print(f"  {'='*60}")
+
+    results = scrape(url, country)
+    ok = [r for r in results if r.status == 200 and not r.cf_blocked]
+
+    for r in results:
+        status_str = "OK" if r.status == 200 else f"ERR {r.status}"
+        cf_str = " [CF]" if r.cf_blocked else ""
+        err_str = f" - {r.error}" if r.error else ""
+        print(f"    {r.method:30s} -> {status_str:10s} {r.elapsed:6.3f}s {r.bytes:8d}b{cf_str}{err_str}")
+
+    if ok:
+        best = min(ok, key=lambda r: r.elapsed)
+        print(f"\n    >>> BAST: {best.method} ({best.elapsed:.3f}s, {best.bytes}b)")
+        return best
+    return None

services/scrapers/engine_v2.py

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+"""
+0pt Scraper Engine v2 - Production
+====================================
+Körs som Docker container på SIAX Cl0ud Server 2.
+Data lagras i MinIO S3 (s3.siax.io) för obegränsad lagring.
+
+Stödjer:
+- Alla DK/NO/DE källor med auto-detection av bästa metod
+- Header rotation + curl_cffi TLS fingerprint bypass
+- Async concurrency för maxhastighet
+- Resume-kapabilitet (kraschtålig)
+- Batch processing med checkpointing
+"""
+import json, time, random, os, asyncio, sys, gzip
+from datetime import datetime
+from pathlib import Path
+from typing import Optional
+from dataclasses import dataclass, field, asdict
+from concurrent.futures import ThreadPoolExecutor, as_completed
+
+import requests
+import httpx
+from curl_cffi import requests as curl_requests
+import cloudscraper
+
+# ── Config from env ──
+S3_ENDPOINT = os.getenv("S3_ENDPOINT", "https://s3.siax.io")
+S3_ACCESS_KEY = os.getenv("S3_ACCESS_KEY", "")
+S3_SECRET_KEY = os.getenv("S3_SECRET_KEY", "")
+S3_BUCKET = os.getenv("S3_BUCKET", "opt-scraped-data")
+OUTPUT_DIR = Path(os.getenv("OUTPUT_DIR", "/data/output"))
+CHECKPOINT_DIR = Path(os.getenv("CHECKPOINT_DIR", "/data/checkpoints"))
+MAX_CONCURRENCY = int(os.getenv("MAX_CONCURRENCY", "50"))
+HEADER_POOL = {
+    "user_agents": [
+        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
+        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36",
+        "Mozilla/5.0 (Macintosh; Intel Mac OS X 14_5) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.5 Safari/605.1.15",
+        "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:127.0) Gecko/20100101 Firefox/127.0",
+        "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
+        "Mozilla/5.0 (iPhone; CPU iPhone OS 17_5 like Mac OS X) AppleWebKit/605.1.15",
+    ],
+    "languages": {
+        "DK": "da-DK,da;q=0.9,en;q=0.8,de;q=0.7",
+        "NO": "nb-NO,nb;q=0.9,no;q=0.8,en;q=0.7,da;q=0.6",
+        "DE": "de-DE,de;q=0.9,en;q=0.8,fr;q=0.7",
+    },
+}
+# Pre-computed method rankings per source from benchmarks
+METHOD_RANKING = {
+    "no-brreg-api": ["cloudscraper", "curl_cffi safari17", "curl_cffi chrome124"],
+    "no-proff": ["curl_cffi safari17", "curl_cffi edge99", "curl_cffi chrome110"],
+    "no-1881": ["curl_cffi chrome124", "curl_cffi safari17", "cloudscraper"],
+    "no-gulesider": ["curl_cffi safari17", "curl_cffi chrome124", "cloudscraper"],
+    "no-flowfirma": ["curl_cffi chrome124", "curl_cffi safari17", "curl_cffi chrome110"],
+    "dk-cvrapi": ["curl_cffi safari17", "curl_cffi chrome110", "cloudscraper"],
+    "dk-proff": ["curl_cffi safari17", "curl_cffi edge99", "curl_cffi chrome110"],
+    "dk-krak": ["curl_cffi safari17", "curl_cffi chrome124", "cloudscraper"],
+    "dk-118": ["curl_cffi safari17", "curl_cffi edge99", "curl_cffi chrome124"],
+    "dk-grundigt": ["curl_cffi safari17", "curl_cffi edge99", "curl_cffi chrome110"],
+    "de-northdata": ["curl_cffi edge99", "curl_cffi chrome110", "curl_cffi safari17"],
+    "de-handelsregister": ["curl_cffi edge99", "curl_cffi chrome110", "cloudscraper"],
+    "de-moneyhouse": ["curl_cffi chrome110", "curl_cffi edge99", "curl_cffi safari17"],
+    "de-unternehmensregister": ["curl_cffi safari17", "curl_cffi chrome110", "curl_cffi chrome124"],
+    "de-creditreform": ["curl_cffi chrome110", "curl_cffi safari17", "curl_cffi edge99"],
+    "default": ["curl_cffi chrome124", "curl_cffi safari17", "cloudscraper", "curl_cffi edge99", "requests"],
+}
+
+
+@dataclass
+class ScrapeResult:
+    url: str
+    method: str
+    status: int
+    elapsed: float
+    bytes: int
+    cf_blocked: bool = False
+    data: Optional[dict] = None
+    error: Optional[str] = None
+
+
+def rotate_headers(country="DE"):
+    ua = random.choice(HEADER_POOL["user_agents"])
+    lang = HEADER_POOL["languages"].get(country, "en-US,en;q=0.9")
+    return {
+        "User-Agent": ua,
+        "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
+        "Accept-Language": lang,
+        "Accept-Encoding": "gzip, deflate, br",
+        "Cache-Control": "no-cache",
+        "Sec-Ch-Ua": '"Chromium";v="124", "Google Chrome";v="124", "Not-A.Brand";v="99"',
+        "Sec-Ch-Ua-Mobile": "?0",
+        "Sec-Fetch-Dest": "document",
+        "Sec-Fetch-Mode": "navigate",
+        "Sec-Fetch-Site": "none",
+        "Sec-Fetch-User": "?1",
+        "Upgrade-Insecure-Requests": "1",
+    }
+
+
+def check_cf_blocked(text: str) -> bool:
+    indicators = ["cf-wrapper", "Just a moment", "Checking your browser",
+                  "Cloudflare", "__cf_chl_f_tk", "challenge-form"]
+    return any(i in text[:5000] for i in indicators)
+
+
+class ScraperEngine:
+    """Main scraper engine - production ready."""
+    
+    def __init__(self):
+        self.cloud = cloudscraper.create_scraper(
+            browser={"browser": "chrome", "platform": "windows", "mobile": False}
+        )
+        self.cache = {}
+        self.stats = {"total": 0, "ok": 0, "cf_blocked": 0, "errors": 0, "total_bytes": 0}
+        OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+        CHECKPOINT_DIR.mkdir(parents=True, exist_ok=True)
+
+    def _get_method(self, name: str):
+        """Get a scraping method by name."""
+        if name == "curl_cffi chrome124":
+            return lambda url, c="DE": curl_requests.get(url, impersonate="chrome124", headers=rotate_headers(c), timeout=15)
+        elif name == "curl_cffi edge99":
+            return lambda url, c="DE": curl_requests.get(url, impersonate="edge99", headers=rotate_headers(c), timeout=15)
+        elif name == "curl_cffi chrome110":
+            return lambda url, c="DE": curl_requests.get(url, impersonate="chrome110", headers=rotate_headers(c), timeout=15)
+        elif name == "curl_cffi safari17":
+            return lambda url, c="DE": curl_requests.get(url, impersonate="safari17_0", headers=rotate_headers(c), timeout=15)
+        elif name == "cloudscraper":
+            return lambda url, c="DE": self.cloud.get(url, headers=rotate_headers(c), timeout=15)
+        elif name == "requests":
+            return lambda url, c="DE": requests.get(url, headers=rotate_headers(c), timeout=15)
+        return None
+
+    def scrape_url(self, url: str, country: str = "DE", method_rank_key: str = "default") -> ScrapeResult:
+        """Try methods in ranking order until one succeeds."""
+        methods = METHOD_RANKING.get(method_rank_key, METHOD_RANKING["default"])
+        
+        for method_name in methods:
+            fn = self._get_method(method_name)
+            if not fn:
+                continue
+            try:
+                start = time.time()
+                r = fn(url, country)
+                elapsed = time.time() - start
+                text_sample = str(r.content[:10000] if hasattr(r, "content") else "")
+                blocked = check_cf_blocked(text_sample)
+                
+                self.stats["total"] += 1
+                if r.status_code == 200 and not blocked:
+                    self.stats["ok"] += 1
+                    self.stats["total_bytes"] += len(r.content)
+                    return ScrapeResult(url=url, method=method_name, status=r.status_code,
+                                        elapsed=round(elapsed, 3), bytes=len(r.content), cf_blocked=blocked)
+                elif blocked:
+                    self.stats["cf_blocked"] += 1
+                else:
+                    self.stats["errors"] += 1
+            except Exception as e:
+                self.stats["errors"] += 1
+                continue
+        
+        return ScrapeResult(url=url, method="all_failed", status=0, elapsed=0, bytes=0, error="All methods failed")
+
+    def scrape_batch(self, urls: list[tuple], country: str = "DE", method_key: str = "default", max_workers: int = 10) -> list[ScrapeResult]:
+        """Scrape a batch of URLs concurrently using thread pool."""
+        results = []
+        with ThreadPoolExecutor(max_workers=max_workers) as ex:
+            futures = {ex.submit(self.scrape_url, url, country, method_key): url for url, _ in urls}
+            for f in as_completed(futures):
+                results.append(f.result())
+        return results
+
+    async def scrape_async_batch(self, urls: list[str], country: str = "DE", concurrency: int = None) -> list[ScrapeResult]:
+        """Massively parallel async scraping."""
+        concurrency = concurrency or MAX_CONCURRENCY
+        from httpx import AsyncClient, Limits, Timeout
+        limits = Limits(max_keepalive_connections=concurrency, max_connections=concurrency)
+        timeout = Timeout(30.0)
+        
+        async with AsyncClient(limits=limits, timeout=timeout) as client:
+            async def fetch(url):
+                start = time.time()
+                try:
+                    r = await client.get(url, headers=rotate_headers(country), follow_redirects=True)
+                    elapsed = time.time() - start
+                    return ScrapeResult(url=url, method="async_httpx", status=r.status_code,
+                                        elapsed=round(elapsed, 3), bytes=len(r.content),
+                                        cf_blocked=check_cf_blocked(str(r.content[:10000])))
+                except Exception as e:
+                    return ScrapeResult(url=url, method="async_httpx", status=0, 
+                                        elapsed=time.time()-start, bytes=0, error=str(e)[:200])
+
+            sem = asyncio.Semaphore(concurrency)
+            async def bounded(url):
+                async with sem:
+                    return await fetch(url)
+            
+            tasks = [bounded(url) for url in urls]
+            results = await asyncio.gather(*tasks)
+            for r in results:
+                self.stats["total"] += 1
+                if r.status == 200:
+                    self.stats["ok"] += 1
+                    self.stats["total_bytes"] += r.bytes
+            return results
+
+    def save_result(self, result: ScrapeResult, raw_data: str = None):
+        """Save result with compression to disk."""
+        domain = result.url.split("/")[2].replace(".", "_")
+        ts = datetime.now().strftime("%Y%m%d_%H%M%S")
+        safe_name = f"{domain}_{result.method}_{ts}.json.gz"
+        path = OUTPUT_DIR / safe_name
+        payload = {
+            "timestamp": ts, "url": result.url, "method": result.method,
+            "status": result.status, "elapsed": result.elapsed, "bytes": result.bytes,
+            "cf_blocked": result.cf_blocked, "error": result.error,
+            "data_sample": raw_data[:10000] if raw_data else None,
+        }
+        with gzip.open(path, "wt", encoding="utf-8") as f:
+            json.dump(payload, f, ensure_ascii=False)
+        return path
+
+    def save_checkpoint(self, batch_id: str, completed: list, total: int):
+        """Save progress checkpoint for resume."""
+        path = CHECKPOINT_DIR / f"checkpoint_{batch_id}.json"
+        data = {"batch_id": batch_id, "completed": len(completed), "total": total,
+                "timestamp": datetime.now().isoformat(), "urls": completed}
+        path.write_text(json.dumps(data, ensure_ascii=False), encoding="utf-8")
+
+    def load_checkpoint(self, batch_id: str) -> set:
+        """Load completed URLs from checkpoint."""
+        path = CHECKPOINT_DIR / f"checkpoint_{batch_id}.json"
+        if path.exists():
+            data = json.loads(path.read_text(encoding="utf-8"))
+            return set(data.get("urls", []))
+        return set()
+
+    def print_stats(self):
+        """Print current scraping statistics."""
+        total = self.stats["total"]
+        ok = self.stats["ok"]
+        rate = ok / (self.stats.get("start_time", 1) and 
+            max(1, (time.time() - self.stats.get("start_time", time.time()))))
+        print(f"  Stats: {ok}/{total} OK ({self.stats['cf_blocked']} CF, {self.stats['errors']} err)")
+        print(f"  Rate: {rate:.0f} req/s | Data: {self.stats['total_bytes']/1024/1024:.1f} MB")
+
+
+def print_header():
+    print("""
+  ╔══════════════════════════════════════════════════════════════╗
+  ║              0PT SCRAPER ENGINE v2 - PRODUCTION             ║
+  ║         DK/NO/DE Company Data Pipeline → MinIO S3           ║
+  ╚══════════════════════════════════════════════════════════════╝
+    """)

services/scrapers/requirements.txt

@@ -0,0 +1,9 @@
+# 0pt Scraper Engine - Production dependencies
+curl_cffi>=0.15.0
+cloudscraper>=1.2.71
+httpx>=0.28.0
+aiohttp>=3.10.0
+requests>=2.33.0
+beautifulsoup4>=4.12.0
+lxml>=5.3.0
+boto3>=1.35.0  # MinIO S3 sync

services/scrapers/run_benchmark.py

@@ -0,0 +1,86 @@
+"""
+0pt Scraper Benchmark - test alla källor for DK/NO/DE
+"""
+import sys, os, time, json
+sys.path.insert(0, os.path.dirname(__file__))
+from engine import scrape_best, scrape_async, benchmark_source, OUTPUT_DIR
+from datetime import datetime
+
+# === ALLA KALLOR TESTADE ===
+SOURCES = {
+    "DK": [
+        ("CVR API (cvrapi.dk)", "https://cvrapi.dk/api?search=Novo+Nordisk&country=dk", "api"),
+        ("Proff.dk", "https://proff.dk", "agg"),
+        ("Krak.dk", "https://www.krak.dk/", "dir"),
+        ("118.dk", "https://118.dk/", "dir"),
+        ("De Gule Sider", "https://www.degulesider.dk/", "dir"),
+        ("Companydata.dk", "https://companydata.dk", "agg"),
+        ("Grundigt.dk", "https://grundigt.dk", "agg"),
+        ("Datafordeler.dk", "https://datafordeler.dk", "gov"),
+        ("CVRcheck.dk", "https://cvrcheck.dk", "api"),
+        ("Virk", "https://datacvr.virk.dk/", "gov"),
+    ],
+    "NO": [
+        ("Brreg API (enhet)", "https://data.brreg.no/enhetsregisteret/api/enheter/915651232", "api"),
+        ("Brreg API (search)", "https://data.brreg.no/enhetsregisteret/api/enheter?size=10", "api"),
+        ("Brreg API (underenheter)", "https://data.brreg.no/enhetsregisteret/api/underenheter?size=10", "api"),
+        ("Proff.no", "https://proff.no", "agg"),
+        ("1881.no", "https://www.1881.no/", "dir"),
+        ("Gulesider.no", "https://www.gulesider.no/", "dir"),
+        ("Selskapssok.no", "https://selskapssok.no", "agg"),
+        ("Flowfirma.no", "https://flowfirma.no", "agg"),
+        ("Offentligdata.no", "https://offentligdata.no", "agg"),
+        ("Regnskapsbasen.no", "https://www.regnskapsbasen.no", "agg"),
+        ("Okonomi.no", "https://okonomi.no/bedrifter", "agg"),
+        ("Visverdi.no", "https://visverdi.no", "agg"),
+    ],
+    "DE": [
+        ("Northdata.de (Bayer)", "https://www.northdata.de/Bayer+AG", "agg"),
+        ("Handelsregister.de", "https://www.handelsregister.de", "gov"),
+        ("Unternehmensregister.de", "https://www.unternehmensregister.de", "gov"),
+        ("Bundesanzeiger.de", "https://www.bundesanzeiger.de", "gov"),
+        ("Companyhouse.de", "https://www.companyhouse.de", "agg"),
+        ("Moneyhouse.de", "https://www.moneyhouse.de", "agg"),
+        ("Creditreform.de", "https://www.creditreform.de", "agg"),
+        ("Personensuche.de", "https://www.personensuche.de", "dir"),
+        ("Registercheck.de", "https://www.registercheck.de", "agg"),
+        ("Whitepages.de", "https://www.whitepages.de", "dir"),
+    ],
+}
+
+def run():
+    print("=" * 80)
+    print(f"0PT SCRAPER BENCHMARK - {datetime.now().strftime('%Y-%m-%d %H:%M')}")
+    print("=" * 80)
+
+    results_by_country = {}
+
+    for country, sources in SOURCES.items():
+        print(f"\n{'#'*70}")
+        print(f"# {country} - {len(sources)} källor")
+        print(f"{'#'*70}")
+
+        country_results = []
+        for name, url, src_type in sources:
+            best = benchmark_source(name, url, country)
+            if best:
+                country_results.append({"name": name, "url": url, "method": best.method, "elapsed": best.elapsed, "status": best.status, "bytes": best.bytes})
+            time.sleep(0.3)
+
+        results_by_country[country] = country_results
+
+        print(f"\n  [{country}] SAMMANSTALLNING:")
+        for r in sorted(country_results, key=lambda x: x["elapsed"]):
+            print(f"    {r['name']:30s} {r['method']:25s} {r['elapsed']:.3f}s {r['bytes']}b")
+
+    # Save report
+    report = {
+        "timestamp": datetime.now().isoformat(),
+        "results": results_by_country,
+    }
+    path = OUTPUT_DIR / f"benchmark_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
+    path.write_text(json.dumps(report, indent=2, ensure_ascii=False), encoding="utf-8")
+    print(f"\n  Rapport sparad: {path}")
+
+if __name__ == "__main__":
+    run()

services/scrapers/run_pipeline.py

@@ -0,0 +1,235 @@
+"""
+0pt Scraper Pipeline - Production Batch Processor
+
+Kör batch-scraping för angivet land/källa med checkpointing.
+Data sparas lokalt och synkas till MinIO S3.
+
+Användning:
+  python -m scrapers.run_pipeline --country NO --source brreg
+  python -m scrapers.run_pipeline --country DK --source cvrapi --search "Novo Nordisk"
+  python -m scrapers.run_pipeline --country DE --source northdata --hrb "HRB 123456"
+"""
+import os, sys, json, time, asyncio
+from datetime import datetime
+from pathlib import Path
+
+sys.path.insert(0, os.path.dirname(__file__))
+from engine_v2 import ScraperEngine, ScrapeResult, print_header
+
+# ── Source configurations ──
+SOURCES = {
+    "NO": {
+        "brreg": {
+            "name": "Brreg Enhetsregisteret",
+            "type": "api",
+            "url_template": "https://data.brreg.no/enhetsregisteret/api/enheter/{}",
+            "method_key": "no-brreg-api",
+            "total_estimate": 1168208,
+            "batch_size": 100,
+            "pagination": True,
+            "list_url": "https://data.brreg.no/enhetsregisteret/api/enheter?size=100&page={}",
+            "fields": 38,
+        },
+        "brreg_under": {
+            "name": "Brreg Underenheter",
+            "type": "api",
+            "method_key": "no-brreg-api",
+            "total_estimate": 849423,
+            "batch_size": 100,
+            "pagination": True,
+            "list_url": "https://data.brreg.no/enhetsregisteret/api/underenheter?size=100&page={}",
+        },
+        "proff": {
+            "name": "Proff.no",
+            "type": "web",
+            "url_template": "https://proff.no/company/companydetails/{}",
+            "method_key": "no-proff",
+        },
+        "1881": {
+            "name": "1881.no",
+            "type": "web",
+            "url_template": "https://www.1881.no/sok/?q={}",
+            "method_key": "no-1881",
+        },
+        "flowfirma": {
+            "name": "Flowfirma.no",
+            "type": "web",
+            "url_template": "https://flowfirma.no/company/{}",
+            "method_key": "no-flowfirma",
+        },
+    },
+    "DK": {
+        "cvrapi": {
+            "name": "CVR API",
+            "type": "api",
+            "url_template": "https://cvrapi.dk/api?search={}&country=dk",
+            "method_key": "dk-cvrapi",
+            "total_estimate": 700000,
+        },
+        "proff": {
+            "name": "Proff.dk",
+            "type": "web",
+            "url_template": "https://proff.dk/company/companydetails/{}",
+            "method_key": "dk-proff",
+        },
+        "grundigt": {
+            "name": "Grundigt.dk",
+            "type": "web",
+            "url_template": "https://grundigt.dk/virksomhed/{}",
+            "method_key": "dk-grundigt",
+        },
+    },
+    "DE": {
+        "northdata": {
+            "name": "Northdata.de",
+            "type": "web",
+            "url_template": "https://www.northdata.de/{}",
+            "method_key": "de-northdata",
+            "total_estimate": 3500000,
+        },
+        "handelsregister": {
+            "name": "Handelsregister.de",
+            "type": "web",
+            "url_template": "https://www.handelsregister.de/{}",
+            "method_key": "de-handelsregister",
+        },
+        "moneyhouse": {
+            "name": "Moneyhouse.de",
+            "type": "web",
+            "url_template": "https://www.moneyhouse.de/{}",
+            "method_key": "de-moneyhouse",
+        },
+    },
+}
+
+
+async def scrape_brreg_bulk(engine: ScraperEngine, country: str, source_key: str):
+    """Scrape Brreg API with pagination - full company register."""
+    source = SOURCES[country][source_key]
+    total = source["total_estimate"]
+    batch = source["batch_size"]
+    list_url = source["list_url"]
+    method_key = source["method_key"]
+    
+    print(f"\n[{country}] {source['name']} - {total} companies")
+    print(f"  Method: {method_key} | Concurrency: {engine.MAX_CONCURRENCY}")
+    
+    engine.stats["start_time"] = time.time()
+    total_pages = (total // batch) + 1
+    completed_urls = set()
+    
+    # Check for checkpoint
+    checkpoint_id = f"{country}_{source_key}"
+    completed_urls = engine.load_checkpoint(checkpoint_id)
+    print(f"  Checkpoint: {len(completed_urls)}/{total_pages} pages completed")
+    
+    for page in range(total_pages):
+        if f"page_{page}" in completed_urls:
+            continue
+        
+        url = list_url.format(page)
+        result = engine.scrape_url(url, country, method_key)
+        
+        if result.status == 200 and not result.cf_blocked:
+            import json as j
+            try:
+                data = j.loads(result.data) if result.data else {}
+                items = data.get("_embedded", {}).get(
+                    "enheter" if source_key == "brreg" else "underenheter", []
+                )
+                for item in items:
+                    engine.save_result(ScrapeResult(
+                        url=url, method=result.method, 
+                        status=200, elapsed=result.elapsed,
+                        bytes=len(j.dumps(item)),
+                        data=item
+                    ), j.dumps(item))
+            except:
+                pass
+        
+        # Track progress
+        if (page + 1) % 10 == 0:
+            elapsed = time.time() - engine.stats["start_time"]
+            rate = (page + 1) / elapsed if elapsed > 0 else 0
+            remaining = (total_pages - page) / rate if rate > 0 else 0
+            print(f"  Page {page+1}/{total_pages} ({rate:.0f} pages/s, ETA: {remaining:.0f}s)")
+            engine.print_stats()
+        
+        # Checkpoint every 100 pages
+        if (page + 1) % 100 == 0:
+            completed = [f"page_{p}" for p in range(page + 1)]
+            engine.save_checkpoint(checkpoint_id, completed, total_pages)
+
+
+async def scrape_by_search(engine: ScraperEngine, country: str, source_key: str, search_terms: list[str]):
+    """Scrape by searching company names."""
+    source = SOURCES[country][source_key]
+    template = source["url_template"]
+    method_key = source["method_key"]
+    
+    print(f"\n[{country}] {source['name']} - {len(search_terms)} searches")
+    engine.stats["start_time"] = time.time()
+    
+    for i, term in enumerate(search_terms):
+        url = template.format(term.replace(" ", "+"))
+        result = engine.scrape_url(url, country, method_key)
+        
+        if result.status == 200:
+            engine.save_result(result)
+        
+        if (i + 1) % 10 == 0:
+            elapsed = time.time() - engine.stats["start_time"]
+            rate = (i + 1) / elapsed if elapsed > 0 else 0
+            remaining = (len(search_terms) - i) / rate if rate > 0 else 0
+            print(f"  {i+1}/{len(search_terms)} ({rate:.0f} req/s, ETA: {remaining:.0f}s)")
+            engine.print_stats()
+
+
+def parse_args():
+    import argparse
+    parser = argparse.ArgumentParser(description="0pt Scraper Pipeline")
+    parser.add_argument("--country", choices=["NO", "DK", "DE"], required=True, help="Country code")
+    parser.add_argument("--source", required=True, help="Source key (brreg, cvrapi, northdata, etc)")
+    parser.add_argument("--search", nargs="+", help="Search terms for name-based sources")
+    parser.add_argument("--concurrency", type=int, default=50, help="Max async concurrency")
+    parser.add_argument("--pages", type=int, default=0, help="Number of pages (0=all)")
+    return parser.parse_args()
+
+
+def main():
+    print_header()
+    args = parse_args()
+    
+    country = args.country
+    source_key = args.source
+    max_conc = args.concurrency
+    
+    if country not in SOURCES or source_key not in SOURCES[country]:
+        print(f"Error: unknown source {country}/{source_key}")
+        print(f"Available: {[f'{c}/{k}' for c, srcs in SOURCES.items() for k in srcs.keys()]}")
+        return 1
+    
+    engine = ScraperEngine()
+    source = SOURCES[country][source_key]
+    
+    print(f"  Country: {country}")
+    print(f"  Source: {source['name']} ({source['type']})")
+    print(f"  Method: {source['method_key']}")
+    print(f"  Concurrency: {max_conc}")
+    print()
+    
+    if source.get("pagination"):
+        asyncio.run(scrape_brreg_bulk(engine, country, source_key))
+    elif args.search:
+        asyncio.run(scrape_by_search(engine, country, source_key, args.search))
+    else:
+        print("Error: need --search for non-paginated sources, or use --search with search terms")
+        return 1
+    
+    print(f"\n  Pipeline complete!")
+    engine.print_stats()
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

services/scrapers/s3_sync.py

@@ -0,0 +1,57 @@
+"""
+S3 Sync - Upload scraped data to MinIO periodically.
+"""
+import os, time, json, gzip
+from pathlib import Path
+from datetime import datetime, timedelta
+
+OUTPUT_DIR = Path(os.getenv("OUTPUT_DIR", "/data/output"))
+S3_ENDPOINT = os.getenv("S3_ENDPOINT", "https://s3.siax.io")
+S3_ACCESS_KEY = os.getenv("S3_ACCESS_KEY", "")
+S3_SECRET_KEY = os.getenv("S3_SECRET_KEY", "")
+S3_BUCKET = os.getenv("S3_BUCKET", "opt-scraped-data")
+SYNC_INTERVAL = int(os.getenv("SYNC_INTERVAL", "300"))  # 5 min
+
+def get_s3_client():
+    import boto3
+    return boto3.client(
+        "s3",
+        endpoint_url=S3_ENDPOINT,
+        aws_access_key_id=S3_ACCESS_KEY,
+        aws_secret_access_key=S3_SECRET_KEY,
+    )
+
+def sync_to_s3():
+    """Upload all new files to MinIO S3."""
+    s3 = get_s3_client()
+    # Ensure bucket exists
+    try:
+        s3.head_bucket(Bucket=S3_BUCKET)
+    except:
+        s3.create_bucket(Bucket=S3_BUCKET)
+    
+    uploaded = 0
+    for fpath in OUTPUT_DIR.glob("*.json.gz"):
+        key = f"raw/{fpath.name}"
+        try:
+            s3.upload_file(str(fpath), S3_BUCKET, key)
+            uploaded += 1
+            fpath.unlink()  # Remove local after upload
+        except Exception as e:
+            print(f"  S3 upload failed: {fpath.name} - {e}")
+    
+    return uploaded
+
+def run():
+    print(f"S3 Sync started -> {S3_ENDPOINT}/{S3_BUCKET}")
+    while True:
+        try:
+            uploaded = sync_to_s3()
+            if uploaded:
+                print(f"  Uploaded {uploaded} files to S3")
+        except Exception as e:
+            print(f"  Sync error: {e}")
+        time.sleep(SYNC_INTERVAL)
+
+if __name__ == "__main__":
+    run()